CN107680148A - A kind of method for generating isogram in real time based on Monitoring Data - Google Patents
A kind of method for generating isogram in real time based on Monitoring Data Download PDFInfo
- Publication number
- CN107680148A CN107680148A CN201710901179.1A CN201710901179A CN107680148A CN 107680148 A CN107680148 A CN 107680148A CN 201710901179 A CN201710901179 A CN 201710901179A CN 107680148 A CN107680148 A CN 107680148A
- Authority
- CN
- China
- Prior art keywords
- isogram
- data
- monitoring data
- generating
- real time
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/203—Drawing of straight lines or curves
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a kind of method for generating isogram in real time based on Monitoring Data.Its framework realized includes data acquisition equipment, database, isogram automatic generating software, SuferAPI interfaces, Web server and Web platforms.The method of the present invention for generating isogram in real time based on Monitoring Data, a set of data acquisition, the automatic system for storing and generating isogram in real time can rapidly be built, realize the collection from data, storage, the generation of isopleth, export and isogram is shown by webpage, client, cell phone application end, whole flow process all automates, efficiently, fast, without manual intervention.
Description
Technical field
The invention belongs to the fields such as Web program development, backstage C/S program development, and in particular to one kind is based on Monitoring Data
The method of generation isogram in real time.
Background technology
Isogram (also known as counter map), is the number for being represented continuously distributed with the line of equal value point and being gradually changed
A kind of pattern of measure feature is the projection of the curve (i.e. isopleth) being unified into the equal each point of numerical value in the plane to represent shot
The profile of object and the figure (as shown in Figure 1) of size.
Isogram includes contour, thermoisopleth, isobar etc., can intuitively reflect the distribution feelings of each numerical value
Condition, and the influence of geographical position, topography and geomorphology to monitoring numerical value height.
The drafting of isogram is more complicated, also to combine actual map, and high to required precision.Now with a lot
Software can automatically generate isogram, such as Sufer, Matlab, but need manual operation software to carry out leading for data
Enter and the operation such as the generation of image and export.
This method is integrated to the generating process of isogram, realizes collection from data, storage, isopleth
Generation, export and isogram is shown by webpage, client, cell phone application end, whole flow process all automates, efficiently, soon
Victory, without manual intervention.
The content of the invention
(1) technical problems to be solved
In view of the shortcomings of the prior art, isopleth is generated based on Monitoring Data in real time it is an object of the invention to provide one kind
The method of figure.
(2) technical scheme
The purpose of the present invention is achieved through the following technical solutions.
The present invention provides a kind of method for generating isogram in real time based on Monitoring Data, the framework bag that methods described is realized
Include data acquisition equipment, database, isogram automatic generating software, Sufer api interfaces, Web server and Web platforms.
Preferably, the framework that methods described is realized also includes mobile APP ends or C/S clients.
Preferably, the data acquisition equipment is arranged on each monitoring site, to the monitoring of timing acquiring each point position
Data, and Web server is uploaded to, it is stored in database.
Preferably, the Monitoring Data includes the concentration value of temperature, air pressure, humidity or pollutant；The timing acquiring
Data type includes minute data, ten minute datas or hour data.
Preferably, methods described comprises the following steps：
(1) data acquisition equipment timing acquiring Monitoring Data, and Monitoring Data is uploaded onto the server, is saved in database
In；
(2) according to the distributing position of each monitoring site, the map of one monitored area of selection, the bottom as isogram
Figure, and record the scope of base map longitude and latitude；
(3) background program reads real time data from database automatically, and generates isogram.
Preferably, wherein step (3) includes following sub-step：
A. all data acquisition equipment information is read from database, and the parameter of certainty equivalents line chart and data are adopted
Collect the time；
B. background program regularly reads the Monitoring Data at the moment according to the information of data acquisition equipment from database,
Generate the data file that form is " longitude, latitude, numerical value "；
C. background program reads data file, the grid file of isogram is generated, by net by calling sufer API
Lattice file is combined with map, generates isogram；
D. after grid file generation, background program generates what sufer API were used according to the number range of data file
Level files；
E. background program imports base map, grid file and level files, generation and base map size by sufer API
Isogram of the same size, and covered on base map, generate an isogram based on map geographic position.
Preferably, the grid file for isogram being generated in sub-step c is the Ke Lijin provided by background program by API
Interpolation algorithm is realized.
Preferably, in sub-step d, the number of plies of the level document definitions isogram, each layer of number range and
Show Styles；Background program calculates the number range of each level, and incite somebody to action according to the maximum and minimum value of Monitoring Data
These information are saved in level files.
Preferably, also the isogram of generation is exported to assigned catalogue automatically including background program after sub-step e, and
Named according to data time, parameter ID, so that Web programs browse isogram according to catalogue and querying condition.
(3) beneficial effect
Compared with prior art, the present invention has following beneficial effects：
(1) whole flow process whole automatic business processing, operating personnel only need the information of pre-configured data acquisition equipment,
Necessary program is installed, system can self-timing gathered data, isogram is automatically generated and preserves, Web platforms end
Can browsing pictures.
(2) the isogram accuracy of generation is high, and the Kriging method provided by Sufer API carries out the life of image
Into, and combined with electronic map, it can accurately reflect the distribution situation of each number range.
(3) configuration is flexible, and user can select data acquisition equipment and the monitoring parameters specified, generation by platform end
Required isogram.
(4) scalability is good, and user can voluntarily increase parameter and monitoring station, and the isogram of system generation can also
Easily it is called and shows by C/S clients or mobile APP.
Brief description of the drawings
Isogram in Fig. 1 display background technologies；
Fig. 2 shows the Organization Chart that method is realized described in embodiment；
Fig. 3 shows embodiment medium value line chart product process figure；
Fig. 4, which is shown in embodiment, generates document format data.
Embodiment
For technical problem, technical scheme and beneficial effect solved by the invention is more clearly understood, below in conjunction with tool
Body embodiment, and referring to the drawings, the present invention is described in further detail.
The present invention provides a kind of method for generating isogram in real time based on Monitoring Data, its framework such as Fig. 2 institute realized
Show, as can be seen from Figure 2 its realize framework include data acquisition equipment, database, isogram automatic generating software,
Sufer api interfaces, Web server and Web platforms.
Wherein, the data acquisition equipment is arranged on each monitoring site, to the monitoring number of timing acquiring each point position
According to, and Web server is uploaded to, it is stored in database.
The Monitoring Data can be the conventional Various types of data in this area, such as include temperature, air pressure, humidity or pollution
Concentration value of thing etc.；The data type of the timing acquiring refers to the data of all kinds of timing acquirings, such as including minute data, very
Clock data or hour data etc..
In certain specific embodiments of the invention, framework that methods described is realized can also include mobile APP ends and/
Or C/S clients.
In certain specific embodiments of the invention, the framework that methods described is realized can be a set of characteristic contamination prison
Temperature and humidity monitoring system in examining system or a set of factory floor.
In the preferred embodiment of the present invention, isogram product process is as shown in figure 3, can from Fig. 3
Go out, methods described comprises the following steps：
(1) data acquisition equipment timing acquiring primary monitoring data, and data are uploaded onto the server, is saved in database
In；
(2) according to the distributing position of each monitoring site, the map of one monitored area of selection, the bottom as isogram
Figure, and record the scope of base map longitude and latitude；
(3) background program reads real time data from database automatically, and generates isogram.
Wherein, the step (3) includes following sub-step：
A. all data acquisition equipment information is read from database, and the parameter of certainty equivalents line chart and data are adopted
Collect the time；
B. background program regularly reads the Monitoring Data at the moment according to the information of data acquisition equipment from database,
Generate the data file of form " longitude, latitude, numerical value " as shown in Figure 4；
C. background program reads data file, the grid file of isogram is generated, by net by calling sufer API
Lattice file is combined with map, generates isogram；
D. after grid file generation, background program generates what sufer API were used according to the number range of data file
Level files；
E. background program imports base map, grid file and level files, generation and base map size by sufer API
Isogram of the same size, and covered on base map, generate an isogram based on map geographic position.
The grid file that isogram is generated in sub-step c is that the Kriging regression provided by background program by API is calculated
Method is realized.
The semivariable function model that Kriging regression algorithm (Kriging interpolation methods) provides has Gauss, linear, spherical, resistance
Buddhist nun's sine and exponential model etc., spherical simulation is relatively good when to meteorological element field interpolation.Both the random of reservoir parameter had been considered
Property, there is the correlation for considering reservoir parameter, under conditions of interpolation variance minimum is met, provide Best Linear Unbiased interpolation,
Give interpolation variance simultaneously；
Compared with traditional interpolation method (such as least square method, Triangulation Method, weighted distance average method), Kriging technique
Advantage include：
A. the space correlation property of description object is considered during data gridding, make interpolation result it is more scientific,
Closer to actual conditions；
B. the error (golden variance in gram) of interpolation can be provided, makes the degree of reliability of interpolation very clear
Interpolation variance：Just refer to the mathematic expectaion of both actual parameter value zv and estimate zv* deviation square：
And the zv* of interpolation point, obtained by N number of discrete point；
Wherein λ refers to weight coefficient with N number of discrete point；
There is certain relation in variogram and the distance h of stochastic variable, this relation can be represented with theoretical model.Often
Variogram theoretical model include spherical model, Gauss model and exponential model (in addition to：Tool base station value linear model,
Power function model, without base station value linear model)；
A. spherical model formula：
B. Gauss model formula：
In formula：A is not to become journey, the change Cheng Yuewei √ 3a of Gauss model；
C. exponential model formula
In formula：A is not to become journey, the change Cheng Yuewei 3a of exponential model；
D. a base station value linear model is had
In formula：γ (hi)=b0+b1X1, i is linearly turned to when k is straight slope 0
E. power function model
γ (h)=hα0 ＜ α ＜ 2
In formula：For power exponent；In the absence of base station value.Take the logarithm to obtain ln (γ (h))=α lnh on both sides, linearly turns to γ (hi)
=b1X1, i
F. without base station value linear model
In sub-step d, the number of plies, each layer of number range and the display sample of the level document definitions isogram
Formula；Background program calculates the number range of each level, and these are believed according to the maximum and minimum value of Monitoring Data
Breath is saved in level files.
Also the isogram of generation is exported to assigned catalogue automatically including background program after sub-step e, and according to number
Named according to time, parameter ID, so that Web programs browse isogram according to catalogue and querying condition.
Several specific embodiments are named, are better illustrated with the implementation to the present invention and application effect.
Embodiment 1
There is a set of characteristic contamination monitoring system, tens monitoring points are mounted with a city, predominantly detect air
In all kinds of pollutant concentrations, including sulfur dioxide, carbon monoxide, benzene homologues etc..
The system uses SqlServer database, carries out program development using ASP.net platforms, background service is by C# languages
Speech is write.
A server is built first, database is installed on server, Web platform programs and automatically generates isopleth
The background program of figure.
Then by all monitoring point Data Enter databases, and the GPS information of each monitoring point is recorded.Configuration is good every
The data acquisition equipment parameter to be gathered on individual monitoring point.
After configuration is completed, data acquisition equipment will monitor the concentration of each pollutant automatically, and timing uploads data
Be put in storage and preserve to server.
Background program on server, understand the data in timing reading database, and pass through sufer API and generate isopleth
Figure, is saved in the catalogue of Web platform programs.
When user needs to check isogram, it is only necessary to log in Web platforms, select specific monitoring point can to browse
Picture.
Embodiment 2
Temperature and humidity monitoring system in a set of factory floor.Each point position installation humiture in a workshop passes
Sensor, real-time temperature and humidity value is monitored, and pass through giant-screen real-time display.
The system uses SqlServer database, carries out program development using ASP.net platforms, background service is by C# languages
Speech is write.
A server is built first, database is installed on server, Web platform programs and automatically generates isopleth
The background program of figure.
By the positional information input database of each point position, Temperature Humidity Sensor automatically can determine the temperature and humidity value of each point position
When upload onto the server storage preserve.
Background program on server, data of the Temperature and Humidity module can be regularly read, with reference to room surface figure, passes through sufer API
Isogram is generated, is saved in the catalogue of Web platform programs.
Real-time humiture isogram is shown by giant-screen, producers is paid close attention at any time in workshop
The distribution situation of humiture, and influence situation of the production activity to humiture.
To sum up, according to the isogram generation method of the present invention, a set of data acquisition, automatic storage can rapidly be built
And the system for generating isogram in real time, the function of data monitoring platform can be made more rich, there is provided more professional data point
Analyse solution.
Particular embodiments described above, the purpose of the present invention, technical scheme and beneficial effect are carried out further in detail
Describe in detail bright, it should be understood that the foregoing is only the present invention specific embodiment, be not intended to limit the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvements done etc., the protection of the present invention should be included in
Within the scope of.
Claims (9)
- A kind of 1. method for generating isogram in real time based on Monitoring Data, it is characterised in that：The framework bag that methods described is realized Include data acquisition equipment, database, isogram automatic generating software, Sufer api interfaces, Web server and Web platforms.
- A kind of 2. method for generating isogram in real time based on Monitoring Data according to claim 1, it is characterised in that：Institute Stating the framework of method realization also includes mobile APP ends and/or C/S clients.
- A kind of 3. method for generating isogram in real time based on Monitoring Data according to claim 1, it is characterised in that：Institute Data acquisition equipment is stated on each monitoring site, to the Monitoring Data of timing acquiring each point position, and is uploaded to Web clothes Business device, is stored in database.
- A kind of 4. method for generating isogram in real time based on Monitoring Data according to claim 3, it is characterised in that：Institute Stating Monitoring Data includes the concentration value of temperature, air pressure, humidity or pollutant；The data type of the timing acquiring includes the number of minutes According to, ten minute datas or hour data.
- A kind of 5. method for generating isogram in real time based on Monitoring Data according to claim 1, it is characterised in that：Institute The method of stating comprises the following steps：(1) data acquisition equipment timing acquiring Monitoring Data, and Monitoring Data is uploaded onto the server, is saved in database；(2) according to the distributing position of each monitoring site, the map of a monitored area is chosen, as the base map of isogram, and Record the scope of base map longitude and latitude；(3) background program reads real time data from database automatically, and generates isogram.
- A kind of 6. method for generating isogram in real time based on Monitoring Data according to claim 5, it is characterised in that：Its Middle step (3) includes following sub-step：A. all data acquisition equipment information is read from database, and when the parameter of certainty equivalents line chart and data acquisition Between；B. background program regularly reads the Monitoring Data at the moment from database, generated according to the information of data acquisition equipment Form is the data file of " longitude, latitude, numerical value "；C. background program reads data file, generates the grid file of isogram, by grid text by calling sufer API Part is combined with map, generates isogram；D. after grid file generation, background program is according to the number range of data file, the level that generation sufer API are used File；E. background program imports base map, grid file and level files, generation and base map size by sufer API Consistent isogram, and covered on base map, generate an isogram based on map geographic position.
- A kind of 7. method for generating isogram in real time based on Monitoring Data according to claim 5, it is characterised in that：Son The grid file that isogram is generated in step c is that the Kriging regression algorithm provided by background program by API is realized.
- A kind of 8. method for generating isogram in real time based on Monitoring Data according to claim 5, it is characterised in that：Son In step d, the number of plies, each layer of number range and the Show Styles of the level document definitions isogram；Background program According to the maximum and minimum value of Monitoring Data, the number range of each level is calculated, and these information are saved in In level files.
- A kind of 9. method for generating isogram in real time based on Monitoring Data according to claim 5, it is characterised in that：Son Also the isogram of generation is exported to assigned catalogue automatically including background program after step e, and according to data time, parameter ID is named, so that Web programs browse isogram according to catalogue and querying condition.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110728173.5A CN113436296A (en) | 2017-09-28 | 2017-09-28 | Method for generating contour map in real time based on monitoring data |
| CN201710901179.1A CN107680148A (en) | 2017-09-28 | 2017-09-28 | A kind of method for generating isogram in real time based on Monitoring Data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710901179.1A CN107680148A (en) | 2017-09-28 | 2017-09-28 | A kind of method for generating isogram in real time based on Monitoring Data |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110728173.5A Division CN113436296A (en) | 2017-09-28 | 2017-09-28 | Method for generating contour map in real time based on monitoring data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107680148A true CN107680148A (en) | 2018-02-09 |
Family
ID=61138528
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710901179.1A Pending CN107680148A (en) | 2017-09-28 | 2017-09-28 | A kind of method for generating isogram in real time based on Monitoring Data |
| CN202110728173.5A Pending CN113436296A (en) | 2017-09-28 | 2017-09-28 | Method for generating contour map in real time based on monitoring data |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110728173.5A Pending CN113436296A (en) | 2017-09-28 | 2017-09-28 | Method for generating contour map in real time based on monitoring data |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN107680148A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109326200A (en) * | 2018-08-09 | 2019-02-12 | 深圳市法本信息技术股份有限公司 | Map rendering implementation method, server and the system of rainfall |
| CN109343830A (en) * | 2018-08-21 | 2019-02-15 | 河海大学 | A kind of precipitation isohyetal line service creation method easy of integration |
| CN111060177A (en) * | 2019-11-07 | 2020-04-24 | 武汉达梦数据库有限公司 | Underground water contour line auxiliary generation method and device |
| CN112559619A (en) * | 2020-12-07 | 2021-03-26 | 中科三清科技有限公司 | Method and device for drawing spatial distribution map, electronic equipment and readable storage medium |
| WO2023010856A1 (en) * | 2021-08-02 | 2023-02-09 | 上海派森诺生物科技有限公司 | Online drawing method and apparatus for combined density plot, and electronic device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104346512A (en) * | 2013-08-01 | 2015-02-11 | 安徽理工大学 | GIS (geographic information system)-based grid method coal resource/reserves estimation method |
| CN105956719A (en) * | 2016-06-01 | 2016-09-21 | 北京驭能者能源科技有限公司 | Photovoltaic resource assessment optimization method and system based on historical meteorological data |
| CN106204684A (en) * | 2016-07-13 | 2016-12-07 | 国家海洋信息中心 | A kind of marine thematic map automatization preparation method of task based access control stream |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706536A (en) * | 2009-11-03 | 2010-05-12 | 山东大学 | Electromagnetic wave automatic monitoring and analysis system based on GIS |
| CN103793581B (en) * | 2014-03-05 | 2015-02-25 | 中商商业发展规划院有限公司 | Refrigerator van temperature field actually-measured data visualization processing method and system |
| CN103914618B (en) * | 2014-03-28 | 2017-04-12 | 哈尔滨工程大学 | Electronic chart based seawater depth contour line generating method |
| CN104408094B (en) * | 2014-11-15 | 2018-08-14 | 中国科学院计算机网络信息中心 | A kind of thematic picture rapid generation of real time environment monitoring based on user location |
| CN106407714A (en) * | 2016-10-14 | 2017-02-15 | 珠海富鸿科技有限公司 | Air pollution assessment method and device based on CALPUFF system |
-
2017
- 2017-09-28 CN CN201710901179.1A patent/CN107680148A/en active Pending
- 2017-09-28 CN CN202110728173.5A patent/CN113436296A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104346512A (en) * | 2013-08-01 | 2015-02-11 | 安徽理工大学 | GIS (geographic information system)-based grid method coal resource/reserves estimation method |
| CN105956719A (en) * | 2016-06-01 | 2016-09-21 | 北京驭能者能源科技有限公司 | Photovoltaic resource assessment optimization method and system based on historical meteorological data |
| CN106204684A (en) * | 2016-07-13 | 2016-12-07 | 国家海洋信息中心 | A kind of marine thematic map automatization preparation method of task based access control stream |
Non-Patent Citations (3)
| Title |
|---|
| 周阳 等: "基于C#与surfer Automation完成大气污染扩散等值线自动化生成", 《环境科学与管理》 * |
| 王建 等: "《Surfer8地理信息制图》", 31 August 2004, 中国地图出版社 * |
| 黄梦龙: "基于Surfer自动化的等值线图实时绘制与网络发布方法", 《测绘与空间地理信息》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109326200A (en) * | 2018-08-09 | 2019-02-12 | 深圳市法本信息技术股份有限公司 | Map rendering implementation method, server and the system of rainfall |
| CN109343830A (en) * | 2018-08-21 | 2019-02-15 | 河海大学 | A kind of precipitation isohyetal line service creation method easy of integration |
| CN111060177A (en) * | 2019-11-07 | 2020-04-24 | 武汉达梦数据库有限公司 | Underground water contour line auxiliary generation method and device |
| CN111060177B (en) * | 2019-11-07 | 2021-05-28 | 武汉达梦数据库股份有限公司 | Underground water contour line auxiliary generation method and device |
| CN112559619A (en) * | 2020-12-07 | 2021-03-26 | 中科三清科技有限公司 | Method and device for drawing spatial distribution map, electronic equipment and readable storage medium |
| WO2023010856A1 (en) * | 2021-08-02 | 2023-02-09 | 上海派森诺生物科技有限公司 | Online drawing method and apparatus for combined density plot, and electronic device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113436296A (en) | 2021-09-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107680148A (en) | A kind of method for generating isogram in real time based on Monitoring Data | |
| US10509378B2 (en) | Systems and methods for soil modeling and automatic irrigation control | |
| CN112765808B (en) | Ecological drought monitoring and evaluating method | |
| CN116070080B (en) | Forest carbon reserve and carbon exchange value monitoring system and dynamic evaluation method | |
| Dragoni et al. | Evidence of increased net ecosystem productivity associated with a longer vegetated season in a deciduous forest in south‐central Indiana, USA | |
| Coppola et al. | An assessment of temperature and precipitation change projections over Italy from recent global and regional climate model simulations | |
| CN108446293A (en) | A method of based on urban multi-source isomeric data structure city portrait | |
| Crosswell et al. | Carbon budget of a shallow, lagoonal estuary: Transformations and source‐sink dynamics along the river‐estuary‐ocean continuum | |
| Liu et al. | Methane emissions reduce the radiative cooling effect of a subtropical estuarine mangrove wetland by half | |
| CN108711264A (en) | Geological disaster monitoring method and system based on big data | |
| CN114894254B (en) | Dynamic metering method for carbon sink of single-plant wood | |
| Mansouri Daneshvar et al. | Assessment of urban sprawl effects on regional climate change using a hybrid model of factor analysis and analytical network process in the Mashhad city, Iran | |
| Leuzinger et al. | A sink‐limited growth model improves biomass estimation along boreal and alpine tree lines | |
| WO2014073985A1 (en) | A method and system for automated differential irrigation | |
| Buechel et al. | Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios | |
| Chamran et al. | Spatially explicit treatment of soil‐water dynamics along a semiarid catena | |
| Das et al. | Studying land use dynamics using decadal satellite images and Dyna-CLUE model in the Mahanadi River basin, India | |
| Han et al. | Comparison of nighttime with daytime evapotranspiration responses to environmental controls across temporal scales along a climate gradient | |
| Ayeni et al. | Assessing the impact of global changes on the surface water resources of Southwestern Nigeria | |
| Aasa et al. | Spatial interpolation of mobile positioning data for population statistics | |
| CN116071419A (en) | Carbon sink dynamic metering method for carbon sink forestation and forest management carbon sink projects | |
| Zhang et al. | A dataset of microclimate and radiation and energy fluxes from the Lake Taihu eddy flux network | |
| Hobeichi et al. | Reconciling historical changes in the hydrological cycle over land | |
| Jones | " Apples and Oranges": On comparing simulated historic near‐surface temperature changes with observations | |
| Vreča et al. | Comparison of monthly and daily isotopic composition of precipitation in the coastal area of Slovenia |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: No.19, Kangfu Road, Nankai District, Tianjin 300191 Applicant after: TIANJIN ECO-ENVIRONMENTAL MONITORING CENTER Address before: 300191 No. 19, rehabilitation Road, Tianjin, Nankai District Applicant before: TIANJIN ENVIRONMENT MONITORING CENTER |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180209 |