CN110175371A - A kind of greening residue theoretical amount statistical calculation method - Google Patents
A kind of greening residue theoretical amount statistical calculation method Download PDFInfo
- Publication number
- CN110175371A CN110175371A CN201910381337.4A CN201910381337A CN110175371A CN 110175371 A CN110175371 A CN 110175371A CN 201910381337 A CN201910381337 A CN 201910381337A CN 110175371 A CN110175371 A CN 110175371A
- Authority
- CN
- China
- Prior art keywords
- residue
- biomass
- shrub
- forest
- arbor
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Operations Research (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of greening residue theoretical amount statistical calculation method, step 1, by sources type divide mountain area greening residue, and mountain area residue is divided into arbor class residue and shrub residue two major classes；Step 2, forest land investigation；Step 3, biomass measuring and calculating；Step 4 calculates greening remaining object amount in mountain area according to residue biomass conversion coefficient；Step 5, by sources type divide urban afforestation residue, and city residue is divided into arbor class, shrub and lawn class residue three categories；Step 6, Green land in town investigation；Step 7, biomass measuring and calculating；Step 8 calculates urban afforestation residue object amount according to residue biomass conversion coefficient.The present invention provides data basis and decision-making foundation to carry out Regional Urban Greening residue management as resource.
Description
Technical field
The invention belongs to field of environment engineering technology, are related to a kind of greening residue theoretical amount statistical calculation method.
Background technique
As the fast development and people of Chinese Urbanization's are to the quality requirement of living environment, urban green space area is just not
Disconnected to increase, consequent afforests remaining object amount and also rises year by year, and the second largest city solid become after house refuse is useless
Gurry.Since greening residue constituent is mainly organic matter, it is important biomass resource, greening residue recycling benefit
With with great potential, thus the recycling for promoting greening residue by establishing and developing Linear model, Ke Yishi
The management as resource of existing urban afforestation residue, so that the sustainable development of urban environment is ensured, therefore, for convenience of city management
Person makes overall planning with policymaker, establishes science applicable urban afforestation residue system for statistical indices and statistical calculation method
Just seem increasingly important, only management decision-maker does not provide theoretical foundation and method is supported, while can also effectively fill up for city
City afforests the blank in residue statistical research field, has certain research significance.
Summary of the invention
The object of the present invention is to provide a kind of greening residue theoretical amount statistical calculation methods.
Its technical solution is as follows:
A kind of greening residue theoretical amount statistical calculation method, comprising the following steps:
Step 1, by sources type divide mountain area greening residue, and it is remaining that mountain area residue is divided into arbor class
Object and shrub residue two major classes, arbor class include high forest, opening, scattered wood, four side trees, economic forest, and shrub is
Spinney, wherein high forest is divided by real advantage tree species.According to forest resource inventory data for management information feature, herein
The information of arbor class is counted by accumulation, and the information of shrub is counted by area.According to different residue types, to mountain
Area afforests the classified calculating that remaining object amount carries out next step.
Step 2, forest land investigation.Using representative method of sampling, by the origin (natural, artificial) in forest land, Forest Types (needle
Woods, broad-leaf forest, theropencedrymion, spinney) and the age of stand (children, in, it is close, at, overmature forest) and dominant tree etc. choose 3 or more
Sample investigated, enquiry procedure are as follows: 1) sample with sample prescription be arranged；2) arborous layer investigation or shrub layer (woods) investigation；3)
Selection standard wood；4) normal wood is investigated.Specific forest land investigation method is referring to the forest land 1.1.3 investigation method.
Step 3, biomass measuring and calculating.1) arborous layer ground biomass in mountain area is calculated.It is chosen in sample-plot survey by dominant tree
Each diameter rank normal wood, investigation, which obtains, cuts down high the normal wood diameter of a cross-section of a tree trunk 1.3 meters above the ground, tree, trunk portion and branch partial data, is fitted each advantage
Arbor species biomass allometry model (being shown in Table 2), and each normal wood unit volume of timber Aboveground Biomass of Young is calculated, according to gloomy
Each arbor species accumulation in woods resource forestry resource survey data calculates mountain area arborous layer ground biomass.2) mountain area shrub layer
The measuring and calculating of (woods) ground biomass.The shrub layer ground biomass of forest land of mountain area is analyzed using sample harvest method, is fitted each filling
Timber layer Biomass Models (are shown in Table 3), calculate and obtain unit area shrub layer ground biomass data.Region shrub layer biomass is
The sum of all Forest Types shrub layer Aboveground Biomass of Young in region.
Step 4 calculates greening remaining object amount in mountain area according to residue biomass conversion coefficient.Mountain area arborous layer residue object amount
For the product of arborous layer ground biomass and its residue biomass conversion coefficient, mountain area shrub layer residue object amount is for shrub layer
The product of upper biomass and its residue biomass conversion coefficient.Wherein, high forest residue biomass conversion coefficient is 0.13,
Spinney conversion coefficient is 0.20, and opening conversion coefficient is 0.10, and scattered wood conversion coefficient is 0.14, and conversion coefficient is set on four sides
It is 0.11, economic forest conversion coefficient is 0.11.
Step 5, by sources type divide urban afforestation residue, and city residue is divided into arbor class, is filled
The wooden class and lawn class residue three categories, wherein arbor class is divided into aiphyllium class and deciduous tree class, shrub be divided into shrub,
Hedgerow and color lump.According to Urban Green Land Resources census data information feature, the information of arbor class is counted by strain number herein, is filled
The information of the wooden class is counted by area or strain number, and lawn is counted by area.It is green to city according to different residue types
Change the classified calculating that remaining object amount carries out next step.
Step 6, Green land in town investigation.According to Green land in town investigation method (see 2.1.1), generally investigated in conjunction with urban landscaping
Data carry out greenery patches arbor investigation, the investigation of greenery patches shrub and lawn investigation respectively.
Step 7, biomass measuring and calculating.1) acquisition of city arbor single plant ground biomass average value.It is raw according to dominant tree
Object amount model (is shown in Table 2), carries out investigation acquisition by selection standard wood.2) city shrub single plant ground biomass average value
It obtains.Selection standard strain carries out investigation acquisition, or by consulting literatures, visit investigation relevant departments and obtain empirical data.3)
The acquisition of lawn unit area ground biomass average value.It is obtained according to typical plot road test settlement and consulting grass cultivation expert
It takes.The results show that the average value of aiphyllium biomass of individual tree is 187.83kg, the average value of deciduous tree biomass of individual tree is
100.61kg, the average value of shrub biomass of individual tree are 10kg, and the average value of lawn biomass in unit area is 16.5kg.
Step 8 calculates urban afforestation residue object amount according to residue biomass conversion coefficient.City arbor residue object amount is
The product of biomass of arbor species and its residue biomass conversion coefficient, city shrub residue object amount is Bush biomass and it is remaining
The product of object biomass conversion coefficient, lawn residue object amount are multiplying for lawn biomass and its residue biomass conversion coefficient
Product.Wherein, aiphyllium residue biomass conversion coefficient is 0.0774, and deciduous tree residue biomass conversion coefficient is
0.0544, shrub residue biomass conversion coefficient is 0.25, and lawn residue biomass conversion coefficient is 0.9879.
Beneficial effects of the present invention:
This programme proposes the statistical calculation method of greening residue theoretical amount, the resource investigation body in this method and industry
System combines, can be directly general according to forest resource survey data, urban green space by the residue biomass conversion coefficient of proposition
It looks into data and carries out greening residue measurement calculation, be a kind of remaining object amount statistical method being mutually connected with resource investigation system, to open
It opens up Regional Urban Greening residue management as resource and data basis and decision-making foundation is provided.
Detailed description of the invention
Fig. 1 is forest land enquiry procedure figure；
Fig. 2 be sample with sample prescription setting figure；
Fig. 3 is mountain area arborous layer residue Resources calculation flow chart；
Fig. 4 is to lead calculation single entry volume table method to accumulate flow chart with seeking sample；
Fig. 5 is that average cross method and central cross-section method accumulate flow chart with seeking sample.
Specific embodiment
Technical solution of the present invention is described in more detail With reference to embodiment.
.1 the mountain area residue object amount estimation based on forest survey data
Residue is afforested in mountain area, mainly fosters and accordingly fell the residue that task generates by forest land of mountain area, and because certainly
Right factor and the organic residues such as dry branches and fallen leaves for generating are formed, be subdivided into arbor class residue and shrub residue.Mountain
Area afforests residue according to different residue types and Forest Resource in Mountain Areas investigation factor system, according to forest inventory investigation
The principle that data are mutually connected afforests remaining object amount to mountain area and carries out classified calculating, and the resource statistics information in each residue source is such as
Shown in table 1.According to the statistical information for the mountain area greening residue source resource that following table determines, as followed by mountain area residue
The basis of object amount estimation.
The resource statistics situation table of table 1 mountain area residue type and residue source
1.1 research method
1.1.1 Biomass Models
Greening residue is a part of vegetation biomass, therefore is afforest residue measuring and calculating one to the estimation of biomass
Kind effective way.Friction speed Biomass Models are the common methods that forest biomass is estimated in biomass, can accurately be estimated
Forest biomass is widely used in the ecological research with environmental science.Huang Xingzhao is vertical by comparing what is established both at home and abroad
The parameter of the wooden allometry model analyzes the friction speed Biomass Models modeling effect (Huang Xing of classical statistics and Bayesian statistics
It calls together, 2014).Domestic and international many researchers estimate single tree biomass using a variety of models, mainly there is following three form:
Linear model (additive errors):
yi=a+bxi+ei (1)
Nonlinear model (additive errors):
Nonlinear model (multiplying property error):
yiFor i-th plant of single wood and the biomass of each component, xiFor the model variable of i-th plant of Dan Mu, common variable format
Have: the diameter of a cross-section of a tree trunk 1.3 meters above the ground (D) sets high (H), D2H, the model also having added the variables such as the age of stand.A, b is the estimation parameter in model.
1.1.2 evaluation index
Parresol indicates a large amount of statistical indicators evaluated model of fit in the general introduction of Biomass Models, this
A little statistical indicators can carry out goodness comparison (Parresol, 1999) to different models.This section research proposed adoption country is common
6 statistical indicators (Zeng Weisheng, 2011) to various kinds tree species biomass prediction model is selected and is evaluated.Models fitting knot
The coefficient of determination (R is respectively adopted in fruit2), total relative error (TRE), average opposite absolute error (RAM), average relative error
(MSE), standard deviation (SEE) and estimate accuracy P (Xu Hui, 2001).Calculation formula is respectively as follows:
In formula: yiFor actual observed value,For model predication value,For sample average, n is sample size, and p is in model
Number of parameters, tαT value when for confidence level α value 0.05.
1.1.3 forest land investigation method
Forest land enquiry procedure figure is as shown in Figure 1.
(1) it samples and is arranged to sample
1. the methods of sampling
Using representative method of sampling to the origin (natural, artificial) in forest governmance forest land, Forest Types (needle
Woods, broad-leaf forest, theropencedrymion, spinney) and the age of stand (children, in, it is close, at, overmature forest) and the types such as dominant tree choose 3
Above sample.It, can be further according to needing to increase if cannot fully meet to sampling afforestation residue statistical calculation requirement
Sample equipped with typical representative ground type.
2. being arranged with sample prescription to sample
According to investigation actual conditions selection square sample plot or round sample.Square sample plot is positioned using GPS, will be positioned
Sampling point as sample southwest corner and unified marker number, sample specification be 25.82m × 25.82m, using southwest corner as starting point, compass
Instrument angle measurement, tape measure span is from mis-tie misclosure is less than 1/200.Choose to round sample sample tree location, positioning sample carpentery workshop for sample center,
Sample radius be 7.98m (oblique distance can be carried out according to the actual situation and change calculation).
Shrub layer uses sample investigation.Shrub layer sample prescription specification 3m × 3m, according to Shrub Density (by it is close, in, dredge, extremely dredge
Four grades) 4 are arranged altogether.Sample and sample prescription set-up mode see Fig. 2.
(2) arborous layer is investigated
With the recording sample arbor factor, comprising: tree species, the diameter of a cross-section of a tree trunk 1.3 meters above the ground, tree height, upgrowth situation, mean DBH increment, mean stand height etc..It is right
All arbors (including live standing tree and dry wood) in sample ground, calibrate rank by certain rising (is usually in prime of life woods or near-mature forest
4cm is 6cm in Over stand wood) carry out every wooden dipping.
(3) normal wood is investigated
The stand average breast diameter and mean stand height that sample ground is calculated according to every wooden dipping result, press this average value in each diameter rank
(error is within 10%) chooses 1 plant of normal wood, carries out cuting down investigation.Tree height, the ground diameter, the diameter of a cross-section of a tree trunk 1.3 meters above the ground, 1/ of normal wood are cuted down in actual measurement
4,1/2,3/4, per whole rice at diameter and distinguish section weight, measure and record the position for cuting down normal wood side shoots at different levels, side
To, base diameter, branch is long, weight, fills in annex normal wood information table.Choose branch, leaf sample takes back its moisture content of experimental determination.Sample
Product Unified number, labelling with indicating the sample of sample acquisition number, sample type and acquisition date and fill in annex sampling record
Table.
(4) shrub layer (woods) is investigated
It is high to investigate shrub type, ground diameter, bushes number, every clump of strain number, thing hat width, north and south hat width, clump in sample prescription, and
Fill in Appendix B shrub investigation records table.Complete stool harvest method is used to survey its ground respectively shrubs all in sample prescription dry, branch, leaf
Fresh weight chooses dry, branch, leaf sample and takes back its moisture content of experimental determination.Sample Unified number, labelling indicate that sample acquires
Sample number, sample type and acquisition date, and fill in annex sampling record table.
1.1.4 mountain area residue method for measuring and calculating
(1) mountain area residue total resources
Mountain area residue total resources is arborous layer residue object amount, shrub layer residue object amount, economic forest residue object amount three
The sum of, formula (11) are shown in calculating:
RWMountain area=RWMountain is tall+RWMountain tank+RWEconomic forest (11)
In formula:
RWMountain area--- forest land of mountain area residue total resources；
RWMountain is tall--- forest land of mountain area arborous layer residue stock number (including scattered wood and four side trees)；
RWMountain tank--- forest land of mountain area shrub layer residue stock number；
RWEconomic forest--- economic forest residue stock number.
(2) mountain area arborous layer residue stock number
Mountain area arborous layer residue Resources calculation process is as shown in Figure 3.
The arborous layer residue stock number of forest land of mountain area is that each tree species ground biomass of arborous layer and its residue account for biology
The product of specific gravity is measured, formula (12) are shown in calculating:
In formula:
RWMountain is tall--- forest land of mountain area arborous layer residue stock number (including scattered wood and four side trees)；
WOn i--- the ground biomass of arborous layer i tree species；
N --- arborous layer tree species number；
RFi--- i tree species residue object amount takes up an area the specific gravity of upper biomass.
Each arbor species residue object amount takes up an area upper biomass specific gravity according to DB11/T 290-2005, DB11/T 793-
2011 regulation and on-site inspection obtain.
1. mountain area arborous layer ground biomass
Forest land sample-plot survey chooses each diameter rank normal wood by dominant tree, and it is high, main that the normal wood diameter of a cross-section of a tree trunk 1.3 meters above the ground, tree are cuted down in investigation acquisition
Stem portion and branch partial data are fitted each advantage arbor species biomass allometry model (see annex), and calculate each
It is tall to calculate mountain area according to each arbor species accumulation of forest governmance for normal wood unit volume of timber Aboveground Biomass of Young
Formula (13)~(18) are shown in timber layer ground biomass, calculating:
The total ground biomass of mountain area arborous layer:
I-th Forest Types arborous layer ground biomass:
I-th Forest Types sample ground arborous layer ground biomass:
Single plant arbor ground biomass in i-th Forest Types sample ground:
Wj=WIt is dry+WBranch, leaf (16)
Wherein:
Trunk biomass:
WIt is dry=a (D2H)b (17)
Branch, Leaf biomass:
WBranch, leaf=aDb (18)
In formula:
D --- the diameter of a cross-section of a tree trunk 1.3 meters above the ground；
H --- tree is high；
V --- accumulation；
The sum of m --- Forest Types；
N --- arbor strain number in sample ground；
A, b --- constant.
Scattered wood, four side trees, greenery patches arbor also can be used the method and carry out analogizing calculating.
2. sample arborous layer accumulation
I) it leads and calculates single entry volume table method (see Fig. 4)
Formula (10)~(11) are shown in calculating:
Tree Height Models:
H=c0+c1D+c2D2 (19)
Binary formula:
V=a0+a1D2H (20)
In formula:
D --- the diameter of a cross-section of a tree trunk 1.3 meters above the ground；
H --- tree is high；
V --- accumulation；
a0、a1、c0、c1、c2--- constant.
Ii) average section area method and central cross-section area method accumulate average value with seeking sample (see Fig. 5)
Formula (21)~(26) are shown in calculating:
The normal wood volume of timber:
Average section area method:
Central cross-section area method:
Artificial form factor:
Figurate number seeks volume equation:
V=f1.3g1.3H (25)
Accumulate to sample:
In formula:
f1.3--- artificial form factor；
g1.3--- trees breastheight area of section；
H --- tree is high；
Vj--- the volume of timber of jth strain arbor in sample ground；
Vi--- the i-th segment body of normal wood product；
N --- normal wood trunk number of segment；
N --- arbor strain number in sample ground；
D --- distinguish section mid-diameter；
d1--- distinguish section upper diameter；
d2--- distinguish pars infrasegmentalis diameter；
L --- trunk length.
(3) mountain area shrub layer (woods) residue stock number
The shrub layer ground biomass of forest land of mountain area is analyzed using sample harvest method, is fitted each shrub layer biomass mould
Type (see annex) calculates and obtains unit area shrub layer ground biomass data.Region shrub layer biomass is that own in region
The sum of Forest Types shrub layer Aboveground Biomass of Young, mountain area shrub layer residue stock number are shrub layer ground biomass and its
Residue accounts for the product of biomass specific gravity.Formula (27) are shown in calculating:
In formula:
RWMountain tank--- forest land of mountain area shrub layer residue stock number；
N --- Forest Types number；
Ai--- the area of the i-th Forest Types；
--- the average value of the i-th Forest Types unit area shrub layer ground biomass；
RFMountain tank i--- the i-th Forest Types shrub layer residue object amount takes up an area the specific gravity of upper biomass.
Residue accounts for biomass specific gravity and is obtained according to the on-site inspection that forest land shrub fosters.The method is also suitable for filling
Shrub in the wooden woods and urban green space.
(4) economic forest residue stock number
It is investigated by choosing each nonwood forest trees normal wood, calculates the single plant ground biomass number for obtaining each tree species
According to.Economic forest residue stock number is the product that economic forest ground biomass and its residue account for biomass specific gravity, and public affairs are shown in calculating
Formula (28):
In formula:
RWEconomic forest--- economic forest residue stock number；
M --- nonwood forest trees (group) number；
Ni--- the i-th nonwood forest trees (group) strain number；
--- the average value of the i-th nonwood forest trees (group) single plant ground biomass；
RFEconomic forest i--- the i-th nonwood forest trees (group) residue object amount takes up an area the specific gravity of upper biomass.
The remaining object amount that economic forest trimming generates take up an area upper biomass specific gravity according to on-site inspection and typical orchard worker visit into
Row obtains.
1.2 mountain area residue amount results of measuring
By taking the forest resource survey data of Beijing 2009 the 7th time as an example, Beijing Mountain Area residue object amount is calculated.
1.2.1 dominant tree Biomass Models parameter Estimation and selection
By the comparison of the metrics evaluation value to each Biomass Models of dominant tree, W=a (D is selected2H)bAnd W=aDbPoint
Not as the model equation for estimating Beijing's dominant tree trunk biomass and crown biomass, using sample normal wood data pair
Model carries out the estimation of parameter a and b, obtains the biomass prediction model expression formula (table 2) of each dominant tree, and table 3 is part woods
Lower Bush biomass model.
Table 2 Beijing part dominant tree (group) Biomass Models
3 Beijing part understory shrub Biomass Models of table
| Serial number | Understory shrub | Model |
| 1 | Acer truncatum understory shrub | W=0.231-0.048 (D2H)+0.09(D2H)2-0.003(D2H)3 |
| 2 | Chinese pine understory shrub | W=-0.156+1.105 (D2H)-0.080(D2H)2+0.004(D2H)3 |
| 3 | Cork oak understory shrub | W=0.32+4.244 (D2H)-9.578(D2H)2+6.867(D2H)3 |
| 4 | Arbor-vitae understory shrub | W=0.008+0.225 (D2H)-0.080(D2H)2+0.17(D2H)3 |
| 5 | Smoke tree understory shrub | W=0.060+0.340 (D2H)-0.124(D2H)2+0.044(D2H)3 |
| 6 | Live oak understory shrub | W=0.181+0.675 (D2H)-0.195(D2H)2+0.018(D2H)3 |
| 7 | Aspen understory shrub | W=-0.050+1.238 (D2H)-2.633(D2H)2+1.664(D2H)3 |
| 8 | Larch understory shrub | W=0.003+0.294 (D2H)-0.248(D2H)2+0.086(D2H)3 |
| 9 | Toothed oak tree understory shrub | W=-0.003+0.421 (D2H)-0.052(D2H)2+0.002(D2H)3 |
| 10 | White birch understory shrub | W=0.018+0.178 (D2H)+0.121(D2H)2-0.034(D2H)3 |
| 11 | Chinese catalpa understory shrub | W=0.008+0.252 (D2H)-0.180(D2H)2+0.053(D2H)3 |
1.2.2 the conversion coefficient of remaining object amount and biomass is afforested in mountain area
Through inspection information and investigation on the spot is the results show that standing forest arbor residue annual output accounts for about trees biomass
13%, opening residue annual output accounts for about the 10% of biomass, and scattered wood, four side tree residue annual outputs account for about biomass
14%, economic forest residue annual output accounts for about the 11% of biomass.Economic forest single plant residue annual output is 8.8kg.
Mountain area shrub residue amount calculates.By using sample directly harvesting method, the life of unit of account area shrub
Object amount, through investigating, the Tending of forest zone shrub is all to have cut once, according to Beijing forest reserves reconnaissance information for 5 years
The shrub land area of offer calculates Beijing Mountain Area shrub residue annual output.Results of measuring shows, mountain area spinney unit
Area residue annual output is 0.16kg/m2.Table 4 is that residue amount calculating parametric data table is afforested in Beijing Mountain Area, it is shown that mountain
Area afforests each conversion coefficient of remaining object amount and biomass.
4 Beijing of table afforests residue theoretical amount calculating parameter tables of data
1.2.3 results of measuring
Accumulation data, economic forest strain are set in arbor forest land, opening, scattered wood, four sides obtained according to forest forestry resource survey
Several or area, shrub land area data calculate mountain area residue object amount according to the method described above.
Results of measuring shows that 459.21 ten thousand tons of residue stock number fresh weight is afforested in whole city mountain area, converts into dry weight 225.00 ten thousand
Ton.Wherein 99.32 ten thousand tons of high forest residue stock number (dry weight) accounts for mountain area greening residue total resources (dry weight)
44.14%, 24.39 ten thousand tons of spinney residue stock number, the 10.84% of Zhan Shanqu residue total resources, economic forest is remaining
51.31 ten thousand tons of object stock number, the 22.80% of Zhan Shanqu residue total resources, 0.39 ten thousand tons of opening residue stock number accounts for
The 0.17% of mountain area residue total resources, four 35.43 ten thousand tons of residue stock number of side trees, Zhan Shanqu residue total resources
15.75%, scattered 14.16 ten thousand tons of stock number of residue of wood, the 8.23% of Zhan Shanqu residue total resources.
Greatly, wherein high forest residue is mountain for mountain area greening residue stock number (dry weight) it can be seen from results of measuring
Area's residue stock number largest portion.In each dominant tree of high forest, 18.51 ten thousand tons of Chinese pine residue stock number, Zhan Shanqu
The 8.23% of residue total resources, 3.77 ten thousand tons of larch residue stock number, Zhan Shanqu residue total resources
1.68%, 5.80 ten thousand tons of arbor-vitae residue stock number, the 58% of Zhan Shanqu residue total resources, toothed oak tree residue stock number
18.62 ten thousand tons, the 8.28% of Zhan Shanqu residue total resources, 33.40 ten thousand tons of poplar residue stock number, Zhan Shanqu residue
The 14.84% of total resources.It is as shown in Table 5 below that residue stock number situation is afforested in whole city mountain area.
Residue stock number situation is afforested in 5 whole city mountain area of table
The 2 city residue object amount estimations based on urban green space census data
Urban afforestation residue, mainly city afforestation beautify in work, generated limb, rhizome, fallen leaves, grass
Bits, flower lose and other organic residues, and it is surplus to be subdivided into aiphyllium residue, deciduous tree residue, shrub residue, lawn
Excess, hedgerow residue, color lump residue.Urban afforestation residue is divided into arbor class residue, shrub residue by type
And lawn class residue three categories, the vegetation resources in all types of residue sources are obtained according to Urban Green Land Resources census data
Statistical information, mainly including aiphyllium, deciduous tree, shrub, hedgerow, color lump, the plant strain number on lawn and area (6, table
According to the statistical information for the urban afforestation residue source resource that the following table 6 determines, estimated as followed by city residue object amount
Basic data.
The resource statistics situation table of table 6 city residue type and residue source
2.1 research method
2.1.1 Green land in town investigation method
(1) arbor is investigated
Carry out the investigation of greenery patches arbor in conjunction with urban landscaping census data, by every kind of arbor species by diameter rank or age grade point
Not Xuan Ze 3~5 plants of normal wood, number is listed, calibration specific location, and surveys the normal wood diameter of a cross-section of a tree trunk 1.3 meters above the ground, the high factor of tree.
(2) shrub is investigated
Carry out the investigation of greenery patches shrub, every kind of shrub type observation unit area strain in conjunction with urban landscaping census data
Number chooses 3~5 plants of type strain with typical representative, and ground diameter, the tree for investigating type strain are high, gathers in whole strain type strain, weighs
Aerial part fresh weight chooses dry, branch, leaf sample, takes back its moisture content of experimental determination.Hedgerow, color lump class shrub press same sample prescription
Method investigation.
(3) lawn is investigated
Typical plot is selected, setting 1m × 1m sample prescription is investigated, and is gathered in the aerial part of careless class in sample prescription, is weighed fresh
Weight, then certain sample is chosen, take back its moisture content of experimental determination.
2.1.2 city residue method for measuring and calculating
(1) city residue total resources
City residue total resources is city arbor class residue object amount, shrub residue object amount, lawn residue object amount three
The sum of person, wherein arbor class can be divided into aiphyllium and deciduous tree, and shrub can be divided into shrub, hedgerow and color lump.Calculating is shown in
Formula (29):
RWCity=RWArbor class+RWTank wood class+RWLawn (29)
In formula:
RWCity--- Green land in town residue total resources；
RWArbor class--- city arbor class residue stock number；
RWShrub--- city shrub residue stock number；
RWLawn--- city lawn residue stock number.
(2) city arbor class residue stock number
City arbor class residue stock number is the sum of city aiphyllium and the remaining object amount of deciduous tree.Public affairs are shown in calculating
Formula (30)~(31):
City aiphyllium residue stock number:
City deciduous tree residue stock number:
In formula:
NChang Qiao--- city aiphyllium strain number；
NFall Qiao--- city deciduous tree strain number；
--- the average value of city aiphyllium single plant ground biomass；
--- the average value of city deciduous tree single plant ground biomass；
RFChang Qiao--- city aiphyllium single plant residue object amount takes up an area the specific gravity of upper biomass；
RFFall Qiao--- city deciduous tree single plant residue object amount takes up an area the specific gravity of upper biomass.
Wherein, the average value of city arbor single plant ground biomass can pass through choosing according to dominant tree Biomass Models
Normal wood is taken to carry out investigation acquisition；City arbor single plant residue object amount account for biomass specific gravity according to DB11/T 213-2003,
The regulation of DB11/T 839-2011 and on-site inspection are obtained.
(3) city shrub residue stock number
City shrub residue stock number is the sum of city shrub, hedgerow and remaining object amount of color lump, and formula is shown in calculating
(32)~(34):
City shrub residue stock number:
City hedgerow residue stock number:
City color lump residue stock number:
In formula:
NShrub--- city shrub strain number；
NHedgerow--- city hedgerow strain number；
NColor lump--- city color lump strain number；
--- the average value of city shrub single plant ground biomass；
RFShrub--- city shrub single plant residue object amount takes up an area the specific gravity of upper biomass.
The average value of city shrub single plant ground biomass can carry out investigation acquisition with selection standard strain, or by looking into
It reads document, visit investigation relevant departments acquisition empirical data；Shrub single plant residue object amount accounts for biomass than repeated root DB11/T 213-
2003 maintenance management standard is obtained with investigation relevant departments are visited.
(4) city lawn residue stock number
City lawn residue Resources calculation is shown in formula (35):
RWLawn=ALawnwSingle grassRFLawn (35)
In formula:
ALawn--- lawn area；
wSingle grass--- lawn unit area ground biomass；
RFLawn--- lawn unit area residue object amount takes up an area the specific gravity of upper biomass.
The specific gravity that the ground biomass of lawn unit area and its remaining object amount take up an area upper biomass can be according to typically
Block road test settlement and consulting grass cultivation expert obtain.
2.2 city residue amount results of measuring
According to Beijing's urban green space census data in 2009, remaining object amount is afforested to Beijing City and is calculated.
According to sample, sample trees survey data is fitted each dominant tree Biomass Models, in Beijing city trees data information
On the basis of, calculate the average single tree biomass of city aiphyllium and deciduous tree, and regulation (warp is fostered according to urban afforestation
Investigation, that mainly takes " three main six troubles 12 " fosters trim mode, and the trimming period is annual) and residue generation side
Formula calculates city arbor residue object amount.Through Investigation, the remaining object amount of aiphyllium year accounts for about the 13% of crown biomass, falls
The remaining object amount of leaf arbor year accounts for about the 15% of crown biomass, and aiphyllium single plant residue annual output is 14.54kg, and fallen leaves are tall
The wooden single plant residue annual output is 5.47kg.Table 7 is that residue amount calculating parametric data table is afforested in Beijing City.
7 Beijing of table afforests residue theoretical amount calculating parameter tables of data
In conjunction with forest inventory investigation regulation and expert opinion, estimation city shrub single plant residue annual output is 2.5kg, green
Hedge, color lump single plant residue annual output are 2kg.Access Practaculture Science aspect expert is taken to obtain required data, it can through consulting
Know that 6~9kg of remaining object amount is produced on every square metre of lawn per year, value is 7kg in this research.Measuring lawn moisture content through test is
57.06%.
Results of measuring is shown, 228.56 ten thousand tons of fresh weight of whole city's urban afforestation residue stock number, converts into dry weight 99.61 ten thousand
Ton.Whole city city residue stock number details is shown in Table 8.
8 whole city's urban afforestation residue stock number situation of table
The foregoing is only a preferred embodiment of the present invention, the scope of protection of the present invention is not limited to this, it is any ripe
Know those skilled in the art within the technical scope of the present disclosure, the letter for the technical solution that can be become apparent to
Altered or equivalence replacement are fallen within the protection scope of the present invention.
Claims (2)
1. a kind of greening residue theoretical amount statistical calculation method, which comprises the following steps:
Step 1, by sources type to mountain area greening residue divide, by mountain area residue be divided into arbor class residue and
Shrub residue two major classes, arbor class include high forest, opening, scattered wood, four side trees, economic forest, and shrub is shrub
Woods, wherein high forest is divided by real advantage tree species；According to forest resource inventory data for management information feature, arbor herein
The information of class is counted by accumulation, and the information of shrub is counted by area；It is green to mountain area according to different residue types
Change the classified calculating that remaining object amount carries out next step；
Step 2, forest land investigation；Using representative method of sampling, 3 are chosen by the origin in forest land, Forest Types and the age of stand and dominant tree
Investigated to a above sample；
Step 3, biomass measuring and calculating；1) arborous layer ground biomass in mountain area is calculated；Each diameter is chosen by dominant tree in sample-plot survey
Rank normal wood, investigation, which obtains, cuts down high the normal wood diameter of a cross-section of a tree trunk 1.3 meters above the ground, tree, trunk portion and branch partial data, is fitted each advantage arbor
Tree species biomass allometry model, and each normal wood unit volume of timber Aboveground Biomass of Young is calculated, according to two class of the forest reserves
Each arbor species accumulation in survey data calculates mountain area arborous layer ground biomass；2) mountain area shrub layer ground biomass
Measuring and calculating；The shrub layer ground biomass of forest land of mountain area is analyzed using sample harvest method, is fitted each shrub layer Biomass Models,
It calculates and obtains unit area shrub layer ground biomass data；Region shrub layer biomass is all Forest Types shrubs in region
The sum of layer Aboveground Biomass of Young；
Step 4 calculates greening remaining object amount in mountain area according to residue biomass conversion coefficient；Mountain area arborous layer residue object amount is Qiao
The product of timber layer ground biomass and its residue biomass conversion coefficient, mountain area shrub layer residue object amount are that shrub layer is raw on the ground
The product of object amount and its residue biomass conversion coefficient；Wherein, high forest residue biomass conversion coefficient is 0.13, shrub
Woods conversion coefficient is 0.20, and opening conversion coefficient is 0.10, and scattered wood conversion coefficient is 0.14, and four side tree conversion coefficients are
0.11, economic forest conversion coefficient is 0.11；
Step 5, by sources type divide urban afforestation residue, and city residue is divided into arbor class, shrub
With lawn class residue three categories, wherein arbor class is divided into aiphyllium class and deciduous tree class, and shrub is divided into shrub, hedgerow
And color lump；According to Urban Green Land Resources census data information feature, the information of arbor class is counted by strain number herein, shrub
Information counted by area or strain number, lawn is counted by area；It is surplus to urban afforestation according to different residue types
The classified calculating of excess amount progress next step；
Step 6, Green land in town investigation；According to Green land in town investigation method, carried out respectively in conjunction with urban landscaping census data
The investigation of greenery patches arbor, the investigation of greenery patches shrub and lawn investigation；
Step 7, biomass measuring and calculating；1) acquisition of city arbor single plant ground biomass average value；According to dominant tree biomass
Model carries out investigation acquisition by selection standard wood；2) acquisition of city shrub single plant ground biomass average value；Choose mark
Quasi- strain carries out investigation acquisition, or by consulting literatures, visit investigation relevant departments and obtain empirical data；3) lawn unit area
The acquisition of ground biomass average value；It is obtained according to typical plot road test settlement and consulting grass cultivation expert；The results show that often
The average value of green arbor biomass of individual tree is 187.83kg, and the average value of deciduous tree biomass of individual tree is 100.61kg, shrub
The average value of biomass of individual tree is 10kg, and the average value of lawn biomass in unit area is 16.5kg；
Step 8 calculates urban afforestation residue object amount according to residue biomass conversion coefficient；City arbor residue object amount is arbor
The product of biomass and its residue biomass conversion coefficient, city shrub residue object amount are that Bush biomass and its residue are raw
The product of object amount conversion coefficient, lawn residue object amount are the product of lawn biomass and its residue biomass conversion coefficient；Its
In, aiphyllium residue biomass conversion coefficient is 0.0774, and deciduous tree residue biomass conversion coefficient is 0.0544,
Shrub residue biomass conversion coefficient is 0.25, and lawn residue biomass conversion coefficient is 0.9879.
2. greening residue theoretical amount statistical calculation method according to claim 1, which is characterized in that the tune in step 2
Look into program are as follows: 1) be arranged with sample prescription to sample；2) arborous layer investigation or shrub layer investigation；3) selection standard wood；4) normal wood is investigated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910381337.4A CN110175371A (en) | 2019-05-08 | 2019-05-08 | A kind of greening residue theoretical amount statistical calculation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910381337.4A CN110175371A (en) | 2019-05-08 | 2019-05-08 | A kind of greening residue theoretical amount statistical calculation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110175371A true CN110175371A (en) | 2019-08-27 |
Family
ID=67690657
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910381337.4A Pending CN110175371A (en) | 2019-05-08 | 2019-05-08 | A kind of greening residue theoretical amount statistical calculation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110175371A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111260264A (en) * | 2020-05-06 | 2020-06-09 | 成都四方伟业软件股份有限公司 | Resource type city ecological safety early warning method and device |
| CN112747728A (en) * | 2021-02-05 | 2021-05-04 | 山西农业大学 | Sample square laying device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279686A (en) * | 2013-06-20 | 2013-09-04 | 四川省林业调查规划院 | Forestry carbon measuring method based on forest resources |
| CN107657396A (en) * | 2017-11-08 | 2018-02-02 | 海南省林业科学研究所 | A kind of artificial forest biomass modeling method |
-
2019
- 2019-05-08 CN CN201910381337.4A patent/CN110175371A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279686A (en) * | 2013-06-20 | 2013-09-04 | 四川省林业调查规划院 | Forestry carbon measuring method based on forest resources |
| CN107657396A (en) * | 2017-11-08 | 2018-02-02 | 海南省林业科学研究所 | A kind of artificial forest biomass modeling method |
Non-Patent Citations (3)
| Title |
|---|
| 汪少华: "北京绿化剩余物统计指标体系与统计方法研究", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 王迪生: "北京城区园林植物生物量的计测研究", 《林业资源管理》 * |
| 马哲等: "基于生物量转换因子的林业剩余物理论资源潜力评估方法与应用", 《林业调查规划》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111260264A (en) * | 2020-05-06 | 2020-06-09 | 成都四方伟业软件股份有限公司 | Resource type city ecological safety early warning method and device |
| CN111260264B (en) * | 2020-05-06 | 2020-10-30 | 成都四方伟业软件股份有限公司 | Resource type city ecological safety early warning method and device |
| CN112747728A (en) * | 2021-02-05 | 2021-05-04 | 山西农业大学 | Sample square laying device |
| CN112747728B (en) * | 2021-02-05 | 2022-09-20 | 山西农业大学 | Sample square laying device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Van Noordwijk et al. | Carbon stock assessment for a forest-to-coffee conversion landscape in Sumber-Jaya (Lampung, Indonesia): from allometric equations to land use change analysis | |
| CN101398317B (en) | Method for testing conifer forest community situation | |
| CN110909933B (en) | Agricultural drought rapid diagnosis and evaluation method coupling crop model and machine learning language | |
| Pretzsch | Application and evaluation of the growth simulator SILVA 2.2 for forest stands, forest estates and large regions | |
| Swenson et al. | Predicting site index with a physiologically based growth model across Oregon, USA | |
| Soares et al. | Biomass expansion factors for Eucalyptus globulus stands in Portugal | |
| CN104820065B (en) | A kind of carbon remittance measuring method of city individual plant arbor | |
| CN110162872B (en) | Biomass estimation method fusing sample plot data and forest resource clearing data | |
| González‐García et al. | Application of a process‐based model for predicting the productivity of Eucalyptus nitens bioenergy plantations in Spain | |
| CN103279686A (en) | Forestry carbon measuring method based on forest resources | |
| CN110245420A (en) | The method of coast protection forest biomass and organic C storage monitoring and metering | |
| CN110175371A (en) | A kind of greening residue theoretical amount statistical calculation method | |
| Kantavichai et al. | Modeling effects of soil, climate, and silviculture on growth ring specific gravity of Douglas-fir on a drought-prone site in Western Washington | |
| Villani et al. | Soil water balance model CRITERIA-ID in SWAMP project: proof of concept | |
| Schippers et al. | Sapwood allocation in tropical trees: a test of hypotheses | |
| Hauk et al. | Nondestructive estimation of biomass yield for short-rotation woody crops is reliable and shows high yields for commercial stands in Bavaria | |
| Miina et al. | Lessons learned from assessing the cover and yield of bilberry and lingonberry using the national forest inventories in Finland and Sweden | |
| Gomes et al. | Relationships between spacing, productivity and profitability of eucalypt plantations in a small rural property in south-eastern Brazil | |
| Li et al. | Compatible taper and volume systems for Larix olgensis and Larix kaempferi in northeast China | |
| Lee | Modelling growth and yield of Douglas-fir using different interval lengths in the South Island of New Zealand | |
| MORRIS et al. | Using a process-based forest model to estimate the potential productivity of Eucalyptus plantations in southern China | |
| Marziliano et al. | Balancing stand productivity and wood quality in chestnut coppices using chronosequence approach and productivity model | |
| Schelhaas et al. | Converging estimates of the forest carbon sink; a comparison of the carbon sink of Scots pine forest in The Netherlands as presented by the eddy covariance and the forest inventory method | |
| Ruzol | Water use of an intensively managed loblolly pine plantation: implications of rapid tree growth on stand evapotranspiration and its components | |
| Hua et al. | Predicting Eucalyptus production in southern China using the 3-PG model |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190827 |
|
| WD01 | Invention patent application deemed withdrawn after publication |