CN106855891A - A kind of wetland moisturizing position choosing method and device - Google Patents
A kind of wetland moisturizing position choosing method and device Download PDFInfo
- Publication number
- CN106855891A CN106855891A CN201710025530.5A CN201710025530A CN106855891A CN 106855891 A CN106855891 A CN 106855891A CN 201710025530 A CN201710025530 A CN 201710025530A CN 106855891 A CN106855891 A CN 106855891A
- Authority
- CN
- China
- Prior art keywords
- suitability
- moisturizing
- data set
- wetland
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003020 moisturizing effect Effects 0.000 title claims abstract description 222
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000001143 conditioned effect Effects 0.000 claims abstract description 10
- 238000013480 data collection Methods 0.000 claims description 103
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 80
- 239000002689 soil Substances 0.000 claims description 40
- 238000004364 calculation method Methods 0.000 claims description 15
- 230000008859 change Effects 0.000 claims description 3
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 claims 2
- 239000011780 sodium chloride Substances 0.000 claims 2
- 239000000047 product Substances 0.000 description 30
- 241000894007 species Species 0.000 description 25
- 230000009286 beneficial effect Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000009826 distribution Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000013316 zoning Methods 0.000 description 3
- 239000003513 alkali Substances 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 150000003839 salts Chemical class 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 241000372132 Hydrometridae Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- JEGUKCSWCFPDGT-UHFFFAOYSA-N h2o hydrate Chemical compound O.O JEGUKCSWCFPDGT-UHFFFAOYSA-N 0.000 description 1
- 230000009931 harmful effect Effects 0.000 description 1
- 230000001976 improved effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 238000002386 leaching Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 238000004162 soil erosion Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of wetland moisturizing position choosing method and device, and the method includes obtaining the moisturizing parameter information of target wetland；The suitability data set of the target wetland is calculated according to the moisturizing parameter information, wherein the suitability data set is the set of the moisturizing suitability data of each coordinate position of target wetland；According to the suitability data set of the target wetland, pre-conditioned suitability data will be met in the suitability data set and is defined as target suitability data, and coordinate position corresponding to the target suitability data is target moisturizing position.The embodiment of the present invention is by obtaining the moisturizing parameter of wetland, and calculated accordingly, obtain corresponding moisturizing suitability data, so as to realize accurately determining the moisturizing position of wetland, solve the problems, such as that accuracy rate is chosen in existing wetland moisturizing position low, and by lifting the accuracy of moisturizing position, the moisturizing effect of wetland can be lifted.
Description
Technical field
The present invention relates to hydraulic engineering field, more particularly to a kind of wetland moisturizing position choosing method and device.
Background technology
Wetland is that have multi-functional unique ecosystem on the earth, is the ecological landscape of the most rich bio-diversity of nature
One of see.Wetland have regulate the climate, recharge of groundwater, degraded environmental pollution, flood storage drought resisting, control the soil erosion, promote silt make
The function such as land and protection bio-diversity, is described as " kidney of nature ".In recent years, as human economy production scope of activities is continuous
Ground expands, and the original natural landscape of wetland is gradually changed, and various development activities disturb the ecological balance of wetland.Wetland scope
Reduce, the phenomenon such as animal habitat ground is lost, biotic population decline becomes the very important problem of people.
To recover the normal function of wetlands ecosystems, prevent wetland from further reducing, wetland needs to take make-up water measure.
The selection of wetland moisturizing position is particularly significant for moisturizing effect, and good moisturizing position can maximize moisturizing position, not just
When position selection will cause that seepage is serious, moisturizing effect is poor, influence the harmful effects such as resident living.
At present, existing wetland moisturizing position choosing method is usually, according to field investigation, roughly to determine moisturizing position,
The factor of consideration is not comprehensive enough, it is impossible to choose wetland moisturizing position scientific and normally, so as to cause the selection of wetland moisturizing position
It is not accurate enough.It can be seen that, the selection of existing wetland moisturizing position has that accuracy rate is low.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of wetland moisturizing position choosing method and device, is solved existing
Choose the low problem of accuracy rate in wetland moisturizing position.
In order to achieve the above object, the embodiment of the present invention provides a kind of wetland moisturizing position choosing method, including：
Obtain the moisturizing parameter information of target wetland；
The suitability data set of the target wetland is calculated according to the moisturizing parameter information, wherein the suitability data
Collect the set of the moisturizing suitability data for each coordinate position of target wetland；
According to the suitability data set of the target wetland, pre-conditioned fitting will be met in the suitability data set
Suitable property data are defined as target suitability data, and coordinate position corresponding to the target suitability data is target moisturizing position
Put.
Preferably, the moisturizing parameter information includes underground water information, salt-soda soil distributed intelligence, species richness index letter
At least one in breath, diversion works facility range information, wetland grade information and Land-use, wherein the underground water
Information includes the water replenishment information and catchment information of underground water.
Preferably, the suitability data set that the target wetland is calculated according to the moisturizing parameter information, including：
The moisturizing parameter information is carried out into calculation system, and obtain underground water data set, salt-soda soil distributed data collection,
Species richness index data set, diversion works facility range data collection, wetland Gradient collection and land use data are concentrated
At least one；
If the moisturizing parameter information includes the underground water information, by the underground water data set and default first
The product of weight coefficient, as the first weighted data collection of the suitability data set；
If the moisturizing parameter information include the salt-soda soil distributed intelligence, by the salt-soda soil distributed data collection with it is pre-
If the second weight coefficient product, as the second weighted data collection of the suitability data set；
If the moisturizing parameter information includes the species richness index information, by the species richness index number
According to the product collected with default 3rd weight coefficient, as the 3rd weighted data collection of the suitability data set；
If the moisturizing parameter information include the diversion works facility range information, by the diversion works facility away from
From the product of data set and default 4th weight coefficient, as the 4th weighted data collection of the suitability data set；
If the moisturizing parameter information include the wetland grade information, by the wetland Gradient collection with it is default
The product of the 5th weight coefficient, as the 5th weighted data collection of the suitability data set；
If the moisturizing parameter information include the Land-use, by the land use data collection with it is default
The product of the 6th weight coefficient, as the 6th weighted data collection of the suitability data set；
Calculate the suitability data set of the target wetland, the suitability data set be the first weighted data collection,
The second weighted data collection, the 3rd weighted data collection, the 4th weighted data collection, the 5th weighted data collection with
At least one sum that 6th weighted data is concentrated.
Preferably, in the suitability data set according to the target wetland, will be full in the suitability data set
Before the pre-conditioned suitability data of foot are defined as target suitability data, methods described also includes：
The classification treatment suitability data set, and determine moisturizing suitability threshold value；
The suitability data set according to the target wetland, will meet pre-conditioned in the suitability data set
Suitability data be defined as target suitability data, including：
Suitability data in the suitability data set are determined more than the suitability data of the moisturizing suitability threshold value
It is target suitability data.
Preferably, the underground water information detects locus, structure, the form of default underground medium by GPR
Obtained with least one in buried depth.
The embodiment of the present invention also provides a kind of wetland moisturizing position selecting device, including：
Acquisition module, the moisturizing parameter information for obtaining target wetland；
Computing module, the suitability data set for calculating the target wetland according to the moisturizing parameter information, wherein
The suitability data set is the set of the moisturizing suitability data of each coordinate position of target wetland；
First determining module, for the suitability data set according to the target wetland, in the suitability data set
Pre-conditioned suitability data will be met and be defined as target suitability data, and the seat corresponding to the target suitability data
Mark is set to target moisturizing position.
Preferably, the moisturizing parameter information includes underground water information, salt-soda soil distributed intelligence, species richness index letter
At least one in breath, diversion works facility range information, wetland grade information and Land-use, wherein the underground water
Information includes the water replenishment information and catchment information of underground water.
Preferably, the computing module includes：
Digitization unit, for the moisturizing parameter information to be carried out into calculation system, and obtains underground water data set, salt
Alkali ground distributed data collection, species richness index data set, diversion works facility range data collection, wetland Gradient collection and soil
Ground is using at least one in data set；
First computing unit, if including the underground water information for the moisturizing parameter information, by the underground water
The product of data set and default first weight coefficient, as the first weighted data collection of the suitability data set；
Second computing unit, if including the salt-soda soil distributed intelligence for the moisturizing parameter information, by the salt
The product of alkali ground distributed data collection and default second weight coefficient, as the second weighted data of the suitability data set
Collection；
3rd computing unit, if including the species richness index information for the moisturizing parameter information, by institute
The product of species richness index data set and default 3rd weight coefficient is stated, as the 3rd power of the suitability data set
Weight data set；
4th computing unit, if including the diversion works facility range information for the moisturizing parameter information, will
The product of the diversion works facility range data collection and default 4th weight coefficient, as the of the suitability data set
Four weighted data collection；
5th computing unit, if including the wetland grade information for the moisturizing parameter information, by the wetland
The product of Gradient collection and default 5th weight coefficient, as the 5th weighted data collection of the suitability data set；
6th computing unit, if including the Land-use for the moisturizing parameter information, by the soil
Using the product of data set and default 6th weight coefficient, as the 6th weighted data collection of the suitability data set；
7th computing unit, the suitability data set for calculating the target wetland, the suitability data set is institute
State the first weighted data collection, the second weighted data collection, the 3rd weighted data collection, the 4th weighted data collection, institute
State at least one sum that the 5th weighted data collection is concentrated with the 6th weighted data.
Preferably, described device also includes：
Second determining module, for the treatment suitability data set of classifying, and determines moisturizing suitability threshold value；
First determining module is used to for suitability data in the suitability data set to be more than the moisturizing suitability
The suitability data of threshold value are defined as target suitability data.
Preferably, the underground water information detects locus, structure, the form of default underground medium by GPR
Obtained with least one in buried depth.
A technical scheme in above-mentioned technical proposal has the following advantages that or beneficial effect：
The embodiment of the present invention is by obtaining the moisturizing parameter information of target wetland；Institute is calculated according to the moisturizing parameter information
The suitability data set of target wetland is stated, wherein the moisturizing that the suitability data set is each coordinate position of target wetland is fitted
The set of suitable property data；According to the suitability data set of the target wetland, will meet default in the suitability data set
The suitability data of condition are defined as target suitability data, and coordinate position corresponding to the target suitability data is mesh
Mark moisturizing position.So by obtaining the moisturizing parameter of wetland, and calculated accordingly, obtained corresponding moisturizing suitability number
According to so as to realize accurately determining the moisturizing position of wetland, solving existing wetland moisturizing position and choose that accuracy rate is low to ask
Topic, and by lifting the accuracy of moisturizing position, the moisturizing effect of wetland can be lifted.
Brief description of the drawings
Fig. 1 applies a kind of schematic flow sheet of wetland moisturizing position choosing method that example is provided for the present invention；
Fig. 2 is the schematic flow sheet of another wetland moisturizing position choosing method provided in an embodiment of the present invention；
Fig. 3 is the schematic flow sheet of another wetland moisturizing position choosing method provided in an embodiment of the present invention；
Fig. 4 is a kind of structural representation of wetland moisturizing position selecting device provided in an embodiment of the present invention；
Fig. 5 is the structural representation of computing module in a kind of wetland moisturizing position selecting device provided in an embodiment of the present invention
Figure；
Fig. 6 is the structural representation of another wetland moisturizing position selecting device provided in an embodiment of the present invention.
Specific embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool
Body embodiment is described in detail.
As shown in figure 1, the embodiment of the present invention provides a kind of wetland moisturizing position choosing method, comprise the following steps：
Step 101, the moisturizing parameter information for obtaining target wetland.
In the step, the zoning map according to wetland delimit wetland needs the approximate range of moisturizing, so as to primarily determine that wetland
The region of moisturizing is needed, and the wetland of moisturizing will be needed to be defined as target wetland.Pass through field observation and reality in target wetland
Ground is investigated, and obtains related moisturizing parameter information, wherein moisturizing parameter information include underground water information, salt-soda soil distributed intelligence,
In species richness index information, diversion works facility range information, wetland grade information and Land-use at least one
Kind, and underground water information includes the water replenishment information and catchment information of underground water.
Step 102, the suitability data set that the target wetland is calculated according to the moisturizing parameter information.
In the step, calculation system is carried out by by moisturizing parameter information, be converted into raster file, and use grid meter
Calculate device and the moisturizing parameter information after calculation system is merged into calculating, obtain the suitability data set of target wetland, wherein
Suitability data set is the set of the moisturizing suitability data of each coordinate position of target wetland.Calculating the suitability of target wetland
, it is necessary to the data set changed to moisturizing parameter information assigns corresponding weight coefficient when data set, for example, to underground water
The underground water data set that information is converted into assigns the first weight coefficient, the salt-soda soil distribution number being converted into salt-soda soil distributed intelligence
Second weight coefficient, etc. is assigned according to collection.
In the present embodiment, raster file can also be carried out to reclassify treatment.For example, underground water water replenishment is entered as
1, catchment is entered as 0；Salt-soda soil region is entered as 1, catchment is entered as 0；Determine thing according to regional Eco-environmental Characteristics
Species richness index threshold, and will be greater than the area assignment of threshold value is 1, is 0 less than the area assignment of threshold value；According to diversion cost
Determine moisturizing place and diversion works facility distance threshold, the area assignment less than threshold value is 1, and the area assignment more than threshold value is
0；Determine gradient threshold value, will be 1 less than the area assignment of threshold value, be 0 more than the area assignment of threshold value；Gone out according to remote Sensing Interpretation
Land-use map, is 1 by permeable underlying surface area assignment, and waterproof underlying surface is entered as 0.
Step 103, the suitability data set according to the target wetland, will meet default in the suitability data set
The suitability data of condition are defined as target suitability data, and coordinate position corresponding to the target suitability data is mesh
Mark moisturizing position.
In the step, in suitability data set, numerical value coordinate position higher represents that moisturizing suitability is higher, i.e., more suitable
Conjunction carries out wetland moisturizing in the coordinate position.Suitability data set according to target wetland, will meet in suitability data set
Pre-conditioned suitability data are defined as target suitability data, and coordinate position corresponding to target suitability data is mesh
Mark moisturizing position.And according to target moisturizing position, moisturizing is carried out to wetland.
In the present embodiment, in order to make full use of the water of supplement, the water of supplement can be made to participate in alkaline land improving process
In desalinization of soil by flooding or leaching process.For example, by injecting water into salt-soda soil, dissolve salinity, and it is salty to coordinate pumping equipment to carry
Water is discharged, and the water of discharge is acted upon to be re-used for wetland moisturizing, in this process, can coordinate alkaline land modifying agent
Using increase salt-soda soil improved effect.It is used repeatedly by by rate of water make-up, improves the service efficiency of water resource.
In the present embodiment, species richness index information can be obtained by way of numeration of signing.It is rich in species
Richness index region high carries out the rapid realization that moisturizing is more beneficial for wetland moisturizing effect.
In the present embodiment, wetland moisturizing position should close proximity to diversion works facility, so as to save moisturizing cost, therefore
Determine that the range information of diversion works facility when moisturizing position is also critically important, wherein the information of diversion works facility can lead to
Conventional engineering project material is crossed to obtain.
In the present embodiment, the gradient that target wetland can be obtained by downloading the digital elevation model figure of target wetland is believed
Breath, can be typically chosen relatively flat position and is more beneficial for wetland moisturizing in order to select the installation landform of moisturizing facility.
In the present embodiment, by downloading the satellite remote sensing figure of target wetland, and can be obtained by the way of remote Sensing Interpretation
Land-use map.The land-use map of acquisition is interpreted by satellite data and with reference to situation on the spot, than general soil profit
It is more accurate with figure, and can be used to determine underground properties, the few area of selection obstacle blocking water flow (such as concrete road surface) carries out wet
Ground moisturizing so that can moisturizing position determine accuracy, lifted moisturizing effect.
In the embodiment of the present invention, the above method can apply to GIS-Geographic Information System.
In the embodiment of the present invention, the moisturizing parameter information of target wetland is obtained；Institute is calculated according to the moisturizing parameter information
The suitability data set of target wetland is stated, wherein the moisturizing that the suitability data set is each coordinate position of target wetland is fitted
The set of suitable property data；According to the suitability data set of the target wetland, will meet default in the suitability data set
The suitability data of condition are defined as target suitability data, and coordinate position corresponding to the target suitability data is mesh
Mark moisturizing position.So by obtaining the moisturizing parameter of wetland, and calculated accordingly, obtained corresponding moisturizing suitability number
According to so as to realize accurately determining the moisturizing position of wetland, solving existing wetland moisturizing position and choose that accuracy rate is low to ask
Topic, and by lifting the accuracy of moisturizing position, the moisturizing effect of wetland can be lifted.
As shown in Fig. 2 the embodiment of the present invention provides another wetland moisturizing position choosing method, comprise the following steps：
Step 201, the moisturizing parameter information for obtaining target wetland.
In the step, the zoning map according to wetland delimit wetland needs the approximate range of moisturizing, so as to primarily determine that wetland
The region of moisturizing is needed, and the wetland of moisturizing will be needed to be defined as target wetland.Pass through field observation and reality in target wetland
Ground is investigated, and obtains related moisturizing parameter information, wherein moisturizing parameter information include underground water information, salt-soda soil distributed intelligence,
In species richness index information, diversion works facility range information, wetland grade information and Land-use at least one
Kind, and underground water information includes the water replenishment information and catchment information of underground water.
Step 202, the moisturizing parameter information is carried out into calculation system.
In the step, calculation system is carried out by by the moisturizing parameter information, obtain underground water data set, salt-soda soil
Distributed data collection, species richness index data set, diversion works facility range data collection, wetland Gradient collection and soil profit
With at least one in data set, it is possible to which the data set to each moisturizing parameter assigns corresponding weight coefficient.
If step 203, the moisturizing parameter information include the underground water information, by the underground water data set with it is pre-
If the first weight coefficient product, as the first weighted data collection of the suitability data set.
In the step, when moisturizing parameter information includes underground water information, then underground water information is carried out into calculation system,
And obtain corresponding underground water data set, by by the product of underground water data set and default first weight coefficient, as suitable
First weighted data collection of suitable property data set.
If step 204, the moisturizing parameter information include the salt-soda soil distributed intelligence, by the salt-soda soil distribution number
According to the product collected with default second weight coefficient, as the second weighted data collection of the suitability data set.
In the step, when moisturizing parameter information includes salt-soda soil distributed intelligence, then line number is entered into salt-soda soil distributed intelligence
Processed according to change, and obtain corresponding salt-soda soil distributed data collection, by by salt-soda soil distributed data collection and default second weight
The product of coefficient, as the second weighted data collection of suitability data set.
If step 205, the moisturizing parameter information include the species richness index information, the species are enriched
The product of exponent data collection and default 3rd weight coefficient is spent, as the 3rd weighted data collection of the suitability data set.
In the step, when moisturizing parameter information includes species richness index information, then species richness index is believed
Breath carries out calculation system, and obtains corresponding species richness index data set, by by species richness index data set
With the product of default 3rd weight coefficient, as the 3rd weighted data collection of suitability data set.
If step 206, the moisturizing parameter information include the diversion works facility range information, by the diversion work
The product of journey facility range data collection and default 4th weight coefficient, as the 4th weighted data of the suitability data set
Collection.
In the step, when moisturizing parameter information include diversion works facility range information when, then by diversion works facility away from
Carry out calculation system from information, and obtain corresponding diversion works facility range data collection, by by diversion works facility away from
From the product of data set and default 4th weight coefficient, as the 4th weighted data collection of suitability data set.
If step 207, the moisturizing parameter information include the wetland grade information, by the wetland Gradient collection
With the product of default 5th weight coefficient, as the 5th weighted data collection of the suitability data set.
In the step, when moisturizing parameter information includes wetland grade information, then wetland grade information is carried out into digitization
Treatment, and obtains corresponding wetland Gradient collection, by multiplying wetland Gradient collection and default 5th weight coefficient
Product, as the 5th weighted data collection of suitability data set.
If step 208, the moisturizing parameter information include the Land-use, by the land use data collection
With the product of default 6th weight coefficient, as the 6th weighted data collection of the suitability data set.
In the step, when moisturizing parameter information includes Land-use, then Land-use is carried out into digitization
Treatment, and obtains corresponding land use data collection, by multiplying land use data collection and default 6th weight coefficient
Product, as the 6th weighted data collection of suitability data set.
Step 209, the suitability data set for calculating the target wetland.
In the step, according to the first weighted data collection obtained by step 203-209, the second weighted data collection, the 3rd power
Weight data set, the 4th weighted data collection, the 5th weighted data collection and the 6th weighted data collection, and by the first weighted data collection,
What two weighted data collection, the 3rd weighted data collection, the 4th weighted data collection, the 5th weighted data collection and the 6th weighted data were concentrated
At least one sum as target wetland suitability data set.
Step 210, meeting in the suitability data set pre-conditioned suitability data, to be defined as target suitable
Property data, and coordinate position corresponding to the target suitability data is target moisturizing position.
In the step, in suitability data set, numerical value coordinate position higher represents that moisturizing suitability is higher, i.e., more suitable
Conjunction carries out wetland moisturizing in the coordinate position.Suitability data set according to target wetland, will meet in suitability data set
Pre-conditioned suitability data are defined as target suitability data, and coordinate position corresponding to target suitability data is mesh
Mark moisturizing position.And according to target moisturizing position, moisturizing is carried out to wetland.
Optionally, the underground water information detects locus, structure, the form of default underground medium by GPR
Obtained with least one in buried depth.
In the embodiment of the present invention, the locus of default underground medium, structure, form are detected by GPR and is buried
At least one in depth obtains underground water information, and wherein underground water information includes water replenishment information and the draining of underground water
Area's information.And this detection method is a kind of lossless detection method, and can with the ground bottom structure of quick detection large area, and
Determine blowby area area.By determining the water replenishment information and catchment information of underground water, and underground water is chosen to target wetland
Carrying out moisturizing can reduce lower milliosmolarity, improve moisturizing efficiency, saving water resource.
In the embodiment of the present invention, by obtaining the moisturizing parameter of wetland, and calculated accordingly, obtained corresponding moisturizing
Suitability data, so as to realize accurately determining the moisturizing position of wetland, solve existing wetland moisturizing position and choose accurate
The low problem of rate, and by lifting the accuracy of moisturizing position, the moisturizing effect of wetland can be lifted.
As shown in figure 3, the embodiment of the present invention provides another wetland moisturizing position choosing method, comprise the following steps：
Step 301, the moisturizing parameter information for obtaining target wetland.
In the step, the zoning map according to wetland delimit wetland needs the approximate range of moisturizing, so as to primarily determine that wetland
The region of moisturizing is needed, and the wetland of moisturizing will be needed to be defined as target wetland.Pass through field observation and reality in target wetland
Ground is investigated, and obtains related moisturizing parameter information, wherein moisturizing parameter information include underground water information, salt-soda soil distributed intelligence,
In species richness index information, diversion works facility range information, wetland grade information and Land-use at least one
Kind, and underground water information includes the water replenishment information and catchment information of underground water.
Step 302, the suitability data set that the target wetland is calculated according to the moisturizing parameter information.
In the step, calculation system is carried out by by moisturizing parameter information, be converted into raster file, and use grid meter
Calculate device and the moisturizing parameter information after calculation system is merged into calculating, obtain the suitability data set of target wetland, wherein
Suitability data set is the set of the moisturizing suitability data of each coordinate position of target wetland.Calculating the suitability of target wetland
, it is necessary to the data set changed to moisturizing parameter information assigns corresponding weight coefficient when data set, such as to underground water
The underground water data set that information is converted into assigns the first weight coefficient, the salt-soda soil distribution number being converted into salt-soda soil distributed intelligence
Second weight coefficient, etc. is assigned according to collection.
Step 303, the classification treatment suitability data set, and determine moisturizing suitability threshold value.
In the step, classification treatment is carried out by the suitability data set to target wetland, so that it is determined that moisturizing suitability
Threshold value.
Step 304, the suitability by suitability data in the suitability data set more than the moisturizing suitability threshold value
Data are defined as target suitability data.
In the step, in suitability data set, numerical value coordinate position higher represents that moisturizing suitability is higher, i.e., more suitable
Conjunction carries out wetland moisturizing in the coordinate position.It is more than moisturizing suitability threshold value by by suitability data in suitability data set
Suitability data are defined as target suitability data, and the wherein coordinate position corresponding to target suitability data is target moisturizing position
Put.And according to target moisturizing position, moisturizing is carried out to wetland.
In the embodiment of the present invention, by obtaining the moisturizing parameter of wetland, and calculated accordingly, obtained corresponding moisturizing
Suitability data, so as to realize accurately determining the moisturizing position of wetland, solve existing wetland moisturizing position and choose accurate
The low problem of rate, and by lifting the accuracy of moisturizing position, the moisturizing effect of wetland can be lifted.
As shown in figure 4, the embodiment of the present invention provides a kind of wetland moisturizing position selecting device, described device 40 includes：
Acquisition module 41, the moisturizing parameter information for obtaining target wetland；
Computing module 42, the suitability data set for calculating the target wetland according to the moisturizing parameter information, its
Described in suitability data set be each coordinate position of target wetland moisturizing suitability data set；
First determining module 43, for the suitability data set according to the target wetland, in the suitability data set
It is middle to meet pre-conditioned suitability data and be defined as target suitability data, and corresponding to the target suitability data
Coordinate position is target moisturizing position.
Optionally, the moisturizing parameter information includes underground water information, salt-soda soil distributed intelligence, species richness index letter
At least one in breath, diversion works facility range information, wetland grade information and Land-use, wherein the underground water
Information includes the water replenishment information and catchment information of underground water.
Optionally, as shown in figure 5, the computing module 42 includes：
Digitization unit 421, for the moisturizing parameter information to be carried out into calculation system, and obtains underground water data
Collection, salt-soda soil distributed data collection, species richness index data set, diversion works facility range data collection, wetland Gradient
At least one that collection and land use data are concentrated；
First computing unit 422, if including the underground water information for the moisturizing parameter information, by the underground
The product of water data set and default first weight coefficient, as the first weighted data collection of the suitability data set；
Second computing unit 423, if including the salt-soda soil distributed intelligence for the moisturizing parameter information, will be described
The product of salt-soda soil distributed data collection and default second weight coefficient, as the second weighted data of the suitability data set
Collection；
3rd computing unit 424, if including the species richness index information for the moisturizing parameter information, will
The product of the species richness index data set and default 3rd weight coefficient, as the 3rd of the suitability data set the
Weighted data collection；
4th computing unit 425, if including the diversion works facility range information for the moisturizing parameter information,
By the product of the diversion works facility range data collection and default 4th weight coefficient, as the suitability data set
4th weighted data collection；
5th computing unit 426, if including the wetland grade information for the moisturizing parameter information, will be described wet
The product of ground Gradient collection and default 5th weight coefficient, as the 5th weighted data collection of the suitability data set；
6th computing unit 427, if including the Land-use for the moisturizing parameter information, by the soil
Ground utilizes the product of data set and default 6th weight coefficient, used as the 6th weighted data collection of the suitability data set；
7th computing unit 428, the suitability data set for calculating the target wetland, the suitability data set is
The first weighted data collection, the second weighted data collection, the 3rd weighted data collection, the 4th weighted data collection,
At least one sum that the 5th weighted data collection is concentrated with the 6th weighted data.
Optionally, as shown in fig. 6, described device 40 also includes：
Second determining module 44, for the treatment suitability data set of classifying, and determines moisturizing suitability threshold value；
First determining module 43 is used for suitability data in the suitability data set are suitable more than the moisturizing
The suitability data of property threshold value are defined as target suitability data.
Optionally, the underground water information detects locus, structure, the form of default underground medium by GPR
Obtained with least one in buried depth.
In the embodiment of the present invention, the method that device 40 can realize Fig. 1 to offer in embodiment illustrated in fig. 3, i.e. Fig. 1 to figure
The method provided in 3 embodiments can be realized by device 40, and can reach identical beneficial effect, to avoid repeating,
This is repeated no more.
In embodiment provided herein, it should be understood that disclosed apparatus and method, can be by other
Mode is realized.For example, device embodiment described above is only schematical, for example, the division of the unit, is only
A kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be the INDIRECT COUPLING or communication link of device or unit by some interfaces
Connect, can be electrical, mechanical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be according to the actual needs selected to realize embodiment of the present invention scheme
Purpose.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.
If the function is to realize in the form of SFU software functional unit and as independent production marketing or when using, can be with
Storage is in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used to so that a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, ROM, RAM, magnetic disc or CD etc. are various can be with store program codes
Medium.
The above, specific embodiment only of the invention, but protection scope of the present invention is not limited thereto, and it is any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all contain
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Claims (10)
1. a kind of wetland moisturizing position choosing method, it is characterised in that including：
Obtain the moisturizing parameter information of target wetland；
The suitability data of the target wetland are calculated according to the moisturizing parameter information, wherein the suitability data set is institute
State the set of the moisturizing suitability data of each coordinate position of target wetland；
According to the suitability data set of the target wetland, pre-conditioned suitability will be met in the suitability data set
Data are defined as target suitability data, and coordinate position corresponding to the target suitability data is target moisturizing position.
2. method according to claim 1, it is characterised in that the moisturizing parameter information includes underground water information, saline and alkaline
Ground distributed intelligence, species richness index information, diversion works facility range information, wetland grade information and Land-use
In at least one, wherein the water replenishment information and catchment information of the underground water information including underground water.
3. method according to claim 2, it is characterised in that described that the target is calculated according to the moisturizing parameter information
The suitability data set of wetland, including：
The moisturizing parameter information is carried out into calculation system, and obtains underground water data set, salt-soda soil distributed data collection, species
Diversity index data set, diversion works facility range data collection, wetland Gradient collection and land use data are concentrated extremely
Few one kind；
If the moisturizing parameter information includes the underground water information, by the underground water data set and default first weight
The product of coefficient, as the first weighted data collection of the suitability data set；
If the moisturizing parameter information include the salt-soda soil distributed intelligence, by the salt-soda soil distributed data collection with it is default
The product of the second weight coefficient, as the second weighted data collection of the suitability data set；
If the moisturizing parameter information includes the species richness index information, by the species richness index data set
With the product of default 3rd weight coefficient, as the 3rd weighted data collection of the suitability data set；
If the moisturizing parameter information includes the diversion works facility range information, by the diversion works facility apart from number
According to the product collected with default 4th weight coefficient, as the 4th weighted data collection of the suitability data set；
If the moisturizing parameter information includes the wetland grade information, by the wetland Gradient collection and the default 5th
The product of weight coefficient, as the 5th weighted data collection of the suitability data set；
If the moisturizing parameter information includes the Land-use, by the land use data collection and the default 6th
The product of weight coefficient, as the 6th weighted data collection of the suitability data set；
Calculate the suitability data set of the target wetland, the suitability data set is the first weighted data collection, described
Second weighted data collection, the 3rd weighted data collection, the 4th weighted data collection, the 5th weighted data collection with it is described
At least one sum that 6th weighted data is concentrated.
4. the method according to any one of claim 1-3, it is characterised in that described according to the suitable of the target wetland
Suitable property data set, pre-conditioned suitability data will be met in the suitability data set and is defined as target suitability data
Before, methods described also includes：
The classification treatment suitability data set, and determine moisturizing suitability threshold value；
The suitability data set according to the target wetland, will meet pre-conditioned fitting in the suitability data set
Suitable property data are defined as target suitability data, including：
Suitability data in the suitability data set are defined as mesh more than the suitability data of the moisturizing suitability threshold value
Mark suitability data.
5. according to the method in claim 2 or 3, it is characterised in that the underground water information detects pre- by GPR
If at least one in the locus of underground medium, structure, form and buried depth is obtained.
6. a kind of wetland moisturizing position selecting device, it is characterised in that including：
Acquisition module, the moisturizing parameter information for obtaining target wetland；
Computing module, the suitability data set for calculating the target wetland according to the moisturizing parameter information, wherein described
Suitability data set is the set of the moisturizing suitability data of each coordinate position of target wetland；
First determining module, for the suitability data set according to the target wetland, will be full in the suitability data set
The pre-conditioned suitability data of foot are defined as target suitability data, and the coordinate bit corresponding to the target suitability data
It is set to target moisturizing position.
7. device according to claim 6, it is characterised in that the moisturizing parameter information includes underground water information, saline and alkaline
Ground distributed intelligence, species richness index information, diversion works facility range information, wetland grade information and Land-use
In at least one, wherein the water replenishment information and catchment information of the underground water information including underground water.
8. device according to claim 7, it is characterised in that the computing module includes：
Digitization unit, for the moisturizing parameter information to be carried out into calculation system, and obtains underground water data set, salt-soda soil
Distributed data collection, species richness index data set, diversion works facility range data collection, wetland Gradient collection and soil profit
With at least one in data set；
First computing unit, if including the underground water information for the moisturizing parameter information, by the underground water data
Collect the product with default first weight coefficient, as the first weighted data collection of the suitability data set；
Second computing unit, if including the salt-soda soil distributed intelligence for the moisturizing parameter information, by the salt-soda soil
The product of distributed data collection and default second weight coefficient, as the second weighted data collection of the suitability data set；
3rd computing unit, if including the species richness index information for the moisturizing parameter information, by the thing
The product of Species richness exponent data collection and default 3rd weight coefficient, as the 3rd weight number of the suitability data set
According to collection；
4th computing unit, if including the diversion works facility range information for the moisturizing parameter information, will be described
Diversion works facility range data collection and the product of default 4th weight coefficient, weigh as the 4th of the suitability data set the
Weight data set；
5th computing unit, if including the wetland grade information for the moisturizing parameter information, by the wetland gradient
The product of data set and default 5th weight coefficient, as the 5th weighted data collection of the suitability data set；
6th computing unit, if including the Land-use for the moisturizing parameter information, by the Land_use change
The product of data set and default 6th weight coefficient, as the 6th weighted data collection of the suitability data set；
7th computing unit, the suitability data set for calculating the target wetland, the suitability data set is described the
One weighted data collection, the second weighted data collection, the 3rd weighted data collection, the 4th weighted data collection, described
At least one sum that five weighted data collection are concentrated with the 6th weighted data.
9. the device according to any one of claim 6-8, it is characterised in that described device also includes：
Second determining module, for the treatment suitability data set of classifying, and determines moisturizing suitability threshold value；
First determining module is used to for suitability data in the suitability data set to be more than the moisturizing suitability threshold value
Suitability data be defined as target suitability data.
10. the device according to claim 7 or 8, it is characterised in that the underground water information detects pre- by GPR
If at least one in the locus of underground medium, structure, form and buried depth is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710025530.5A CN106855891A (en) | 2017-01-13 | 2017-01-13 | A kind of wetland moisturizing position choosing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710025530.5A CN106855891A (en) | 2017-01-13 | 2017-01-13 | A kind of wetland moisturizing position choosing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106855891A true CN106855891A (en) | 2017-06-16 |
Family
ID=59126489
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710025530.5A Pending CN106855891A (en) | 2017-01-13 | 2017-01-13 | A kind of wetland moisturizing position choosing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106855891A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111695530A (en) * | 2020-06-16 | 2020-09-22 | 中国水利水电科学研究院 | River water replenishing effect intelligent monitoring and evaluation method based on high-resolution remote sensing |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682202A (en) * | 2012-04-28 | 2012-09-19 | 清华大学 | Green space system community planning method for urban and rural ecological planning |
| CN106096253A (en) * | 2016-06-07 | 2016-11-09 | 中国环境科学研究院 | A kind of method delimiting lake buffer strip scope |
| CN106228610A (en) * | 2016-07-25 | 2016-12-14 | 环境保护部南京环境科学研究所 | Restoration of the ecosystem partition method in conjunction with dominant eco-function Yu ecological degradation degree |
-
2017
- 2017-01-13 CN CN201710025530.5A patent/CN106855891A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682202A (en) * | 2012-04-28 | 2012-09-19 | 清华大学 | Green space system community planning method for urban and rural ecological planning |
| CN106096253A (en) * | 2016-06-07 | 2016-11-09 | 中国环境科学研究院 | A kind of method delimiting lake buffer strip scope |
| CN106228610A (en) * | 2016-07-25 | 2016-12-14 | 环境保护部南京环境科学研究所 | Restoration of the ecosystem partition method in conjunction with dominant eco-function Yu ecological degradation degree |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111695530A (en) * | 2020-06-16 | 2020-09-22 | 中国水利水电科学研究院 | River water replenishing effect intelligent monitoring and evaluation method based on high-resolution remote sensing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108416686B (en) | Ecological geological environment type division method based on coal resource development | |
| Kumar et al. | Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques | |
| Sahoo et al. | Index-based groundwater vulnerability mapping using quantitative parameters | |
| Jiang et al. | Quantifying driving forces of urban wetlands change in Beijing City | |
| Voudouris et al. | Assessment of intrinsic vulnerability using DRASTIC model and GIS in Kiti aquifer, Cyprus | |
| Zhao et al. | Urban watershed ecosystem health assessment and ecological management zoning based on landscape pattern and SWMM simulation: A case study of Yangmei River Basin | |
| Uribelarrea et al. | Geo-archaeological and geometrically corrected reconstruction of the 1.84 Ma FLK Zinj paleolandscape at Olduvai Gorge, Tanzania | |
| CN110297876A (en) | A kind of karst collapse geological disaster vulnerability assessment method of multi dimensional space data | |
| CN109034656A (en) | A kind of Groundwater Vulnerability Assessment Method | |
| Zandi et al. | Mapping of regional potential groundwater springs using logistic regression statistical method | |
| Ibrakhimov | Spatial and temporal dynamics of groundwater table and salinity in Khorezm (Aral Sea Basin), Uzbekistan | |
| CN105787289A (en) | River feature data classifying system and method | |
| CN104200387A (en) | Land use zoning method giving consideration to geographic entity semantic similarity | |
| Zhang et al. | Integrated hydrological modelling of small-and medium-sized water storages with application to the upper Fengman Reservoir Basin of China | |
| CN105005649A (en) | Potential underground water distribution mapping method | |
| Bah et al. | Landfill site selection by integrating geographical information systems and multi-criteria decision analysis: a case study of Freetown, Sierra Leone | |
| CN106855891A (en) | A kind of wetland moisturizing position choosing method and device | |
| Escobar‐Arias et al. | Differences in river ecological functions due to rapid channel alteration processes in two California rivers using the functional flows model, part 2—model applications | |
| Yanhua et al. | Simulation of the spatial and temporal changes of complex non-point source loads in a lake watershed of central China | |
| Artugyan et al. | Using Digital Elevation Model DEM in karst terrain analysis. Study case: Anina mining area Banat Mountains Romania | |
| Hrissanthou et al. | Simulation modeling of runoff, groundwater flow and sediment transport into Kastoria Lake, Greece | |
| Patil et al. | Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques | |
| Zende et al. | Identification of rainwater harvesting structure for yerala river using remote sensing and GIS | |
| Brandyk et al. | Modeling of hydrological conditions for the restoration of Przemkowsko-Przecławskie Wetlands | |
| Schwartz et al. | Use of River2D hydrodynamic model for stream restoration assessment and design |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170616 |