CN105046394A - Refuse landfill underground water pollution process identifying and dividing method - Google Patents
Refuse landfill underground water pollution process identifying and dividing method Download PDFInfo
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- CN105046394A CN105046394A CN201510249757.9A CN201510249757A CN105046394A CN 105046394 A CN105046394 A CN 105046394A CN 201510249757 A CN201510249757 A CN 201510249757A CN 105046394 A CN105046394 A CN 105046394A
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- reduction zones
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Abstract
A refuse landfill underground water pollution process identifying and dividing method has the following steps of (1) selecting refuse landfill identifying and dividing indexes; (2) setting up a quantification method based on feature region characteristics; (3) determining the weight of each quantification index based on a combined weight method; (4) calculating and acquiring each feature region value; (5) and acquiring a landfill underground water pollution process identifying and dividing result. By means of the method, refuse landfill underground water pollution process can be comprehensively and objectively identified and divided. Technical supports are further provided for control and restoration of refuse landfill polluted underground water.
Description
Technical field
The invention belongs to groundwater pollution of refuse landfill evaluation areas, be specifically related to a kind of groundwater pollution of refuse landfill process identification division methods.
Background technology
Landfill is the effective ways of domestic waste of dissolving in a large number, is also one of final disposal method of all garbage treating process residues.And China to carry out municipal refuse sanitary landfill disposing task more late, garbage sanitary filling field ground is truly also seldom at present, and the existing large multipair surrounding environment of refuse landfill causes pollution in various degree.Refuse landfill has become one of underground water primary pollution source.Therefore, the Controlling research of refuse landfill underground water is extremely urgent.
After garbage loading embeading, the refuse generation eluviation of water and landfill, some components in refuse are present in percolate with dissolving or suspended state.The composition of percolate is very complicated, changeable, and can change with the landfill time, and thus the process of its polluted underground water is difficult to identify.Unclear to the identification of landfill yard groundwater contamination process, recovery technique can be caused to be difficult to specific aim and to implement.
Summary of the invention
The object of this invention is to provide a kind of groundwater pollution of refuse landfill process identification division methods, to improve the deficiencies in the prior art.
For achieving the above object, the method that groundwater pollution of refuse landfill process identification provided by the invention divides, step is:
1) refuse landfill identification Classification Index is chosen;
2) quantization method that feature based district characterizes is set up;
3) determine to quantize index weights based on combining weights method;
4) each feature zones values is calculated;
5) landfill yard groundwater contamination process identification division result is obtained.
In described method, choosing dissolved oxygen DO, nitrite, ferrous iron, sulfide and carbon dioxide in step 1 is sensitive factor.
In described method, step 2 is that groundwater contamination plumage downstream area is divided some cells, utilize each sensitive factor Monitoring Data in actual place, simulate each sensitive factor in the change of groundwater contamination plumage, calculate the methane phase zones values in each cell, sulfate reduction zones values, Fe3+ reduction zones values, nitrate reduction zones values, hydrogen reduction zones values to characterize each district pollution course.
In described method, calculate the methane phase zones values in each cell, sulfate reduction zones values, Fe3+ reduction zones values, nitrate reduction zones values, hydrogen reduction zones values formula as follows:
M＝A
m*P
am+B
m*P
bm+C
m*P
cm+D
m*P
dm+E
m*P
em
S＝A
s*P
as+B
s*P
bs+C
s*P
cs+D
s*P
ds+E
s*P
es
F＝A
f*P
af+B
f*P
bf+C
f*P
cf+D
f*P
df+E
f*P
ef
N＝A
n*P
an+B
n*P
bn+C
n*P
cn+D
n*P
dn+E
n*P
en
O＝A
o*P
ao+B
o*P
bo+C
o*P
co+D
o*P
do+E
o*P
eo
In formula:
M is methane phase zones values, S is sulfate reduction zones values, F is Fe3+ reduction zones values, N is nitrate reduction zones values, O is hydrogen reduction zones values;
A, B, C, D, E represent carbon dioxide, sulfide, ferrous iron, nitrite and dissolved oxygen DO shared weighted value in each characteristic area successively;
P is sensitive factor characteristic exponent, and the sensitive factor actual concentrations change calculating a certain feature zones values meets it when the objective law of this characteristic area, P=1, P=0 when not meeting.
In described method, step 3 comprises the steps:
A, calculate the subjective weights W of sensitive factor with analytical hierarchy process
1j, j=1 ~ m;
B, calculate the objective weight W of sensitive factor with VC Method
2j, j=1 ~ m;
The subjective weights W of C, overall target
1jwith objective weight W
2j, solve combining weights W by minimum relative information Entropy principle
j, j=1 ~ m.
In described method, in each cell that step 4 calculates in each feature zones values, get maximum zones values and be decided to be redox character district belonging to it, finally obtain the identification of landfill yard groundwater contamination process and divide each redox character district result.
Advantage of the present invention is:
1, groundwater pollution of refuse landfill process identification division methods of the present invention, by obtaining several analytical test indexs in underground water, can complete portraying groundwater pollution of refuse landfill Diffusion Law.
2, method of the present invention has simple, accurate, objective, practical feature, and the control and the reparation that can be refuse landfill polluted underground water provide technical support.
Accompanying drawing explanation
Fig. 1 is the process flow diagram based on a kind of new groundwater pollution of refuse landfill process identification division methods of the present invention.
Fig. 2 carries out identifying the result schematic diagram divided to certain groundwater pollution of refuse landfill process of the north based on the inventive method.
Embodiment
Groundwater pollution of refuse landfill process identification division methods of the present invention comprises the steps:
(1) refuse landfill identification Classification Index is chosen;
(2) quantization method that feature based district characterizes is set up;
(3) determine to quantize index weights based on combining weights method;
(4) each feature zones values is calculated;
(5) landfill yard groundwater contamination process identification division result is obtained.
Further, in described step (1), identify the sensitive factor dividing landfill yard groundwater contamination process, comprise dissolved oxygen DO, nitrite, ferrous iron, sulfide and carbon dioxide;
Further, in described step (2), the quantization method that feature based district characterizes refers to and groundwater contamination plumage downstream area is divided some cells, utilize each sensitive factor Monitoring Data in actual place, the each sensitive factor of software simulation is used to change at groundwater contamination plumage, by calculating methane phase zones values (M) in each cell, sulfate reduction zones values (S), Fe3+ reduction zones values (F), nitrate reduction zones values (N), hydrogen reduction zones values (O) characterize each district pollution course, and computing formula is as follows:
M＝A
m*P
am+B
m*P
bm+C
m*P
cm+D
m*P
dm+E
m*P
em
S＝A
s*P
as+B
s*P
bs+C
s*P
cs+D
s*P
ds+E
s*P
es
F＝A
f*P
af+B
f*P
bf+C
f*P
cf+D
f*P
df+E
f*P
ef
N＝A
n*P
an+B
n*P
bn+C
n*P
cn+D
n*P
dn+E
n*P
en
O＝A
o*P
ao+B
o*P
bo+C
o*P
co+D
o*P
do+E
o*P
eo
In formula:
M, S, F, N, O are each redox character zones values;
A, B, C, D, E represent carbon dioxide, sulfide, ferrous iron, nitrite and dissolved oxygen DO shared weighted value in each characteristic area successively;
P is the sensitive factor characteristic exponent in this method, and when calculating a certain feature zones values, the change of sensitive factor actual concentrations meets it when the objective law of this characteristic area, P=1, P=0 when not meeting.
Further, in described step (3), determine that each sensitive factor shared weighted value in each characteristic area comprises the steps: based on combining weights method
A, calculate the subjective weights W of sensitive factor with analytical hierarchy process
1j, j=1 ~ m;
B, calculate the objective weight W of sensitive factor with VC Method
2j, j=1 ~ m;
The subjective weights W of C, overall target
1jwith objective weight W
2j, solve combining weights W by minimum relative information Entropy principle
j, j=1 ~ m.
Further, in described step (4), by calculating each feature zones values in each cell, get maximum zones values and be decided to be redox character district belonging to it, finally obtain the identification of landfill yard groundwater contamination process and divide each redox character district result, provide landfill yard groundwater contamination process identification division methods.
Below in conjunction with accompanying drawing, embodiments of the present invention are described in further detail.
The process flow diagram of groundwater pollution of refuse landfill process identification division methods of the present invention as shown in Figure 1, comprises the steps:
(1) refuse landfill identification Classification Index is chosen:
The present invention considers to identify that the sensitivity material of each redox reaction of groundwater contamination process chooses dissolved oxygen DO, nitrite, ferrous iron, sulfide and carbon dioxide as sensitive factor.
(2) quantization method that feature based district characterizes is set up:
The quantitative formula that feature based district characterizes is as follows:
M＝A
m*P
am+B
m*P
bm+C
m*P
cm+D
m*P
dm+E
m*P
em
S＝A
s*P
as+B
s*P
bs+C
s*P
cs+D
s*P
ds+E
s*P
es
F＝A
f*P
af+B
f*P
bf+C
f*P
cf+D
f*P
df+E
f*P
ef
N＝A
n*P
an+B
n*P
bn+C
n*P
cn+D
n*P
dn+E
n*P
en
O＝A
o*P
ao+B
o*P
bo+C
o*P
co+D
o*P
do+E
o*P
eo
In formula:
M, S, F, N, O are each redox character zones values;
A, B, C, D, E represent carbon dioxide, sulfide, ferrous iron, nitrite and dissolved oxygen DO shared weighted value in each characteristic area successively;
P is the sensitive factor characteristic exponent in this method, and when calculating a certain feature zones values, the change of sensitive factor actual concentrations meets it when the objective law of this characteristic area, P=1, P=0 when not meeting.
Based on the quantitative formula of each characteristic area of above-mentioned sign, calculate each feature zones values in each cell.
(3) determine to quantize index weights based on combining weights method:
1) the subjective weight of sensitive factor is calculated based on analytical hierarchy process:
By judging the importance determination judgment matrix of each sensitive factor in each characteristic area, calculate the weight size that sensitive factor is shared in each characteristic area.
A. hierarchical structure is determined.The hierarchical structure that the present invention adopts is designed to two-layer, and upper strata is destination layer, and lower floor is indicator layer, namely sets up hierarchy Model for each redox character district, characterizes five sensitive factors to the impact of each characteristic area;
B. Judgement Matricies.Relation in analytic system between each factor, in secondary about last layer to each element of same level according to mechanistic features, the importance of a certain criterion (namely five sensitivity index factors are for each characteristic area) carries out multilevel iudge between two, Judgement Matricies.
C. judgment matrix is calculated.
D. consistency check is carried out to judgment matrix.
2) objective weight of sensitive factor is calculated based on VC Method:
Utilize the standard deviation of each sensitive factor divided by average, obtain the coefficient of variation of each sensitive factor, finally will obtain the weight of each sensitive factor after coefficient of variation standardization.The coefficient of variation is larger, and illustrate that this achievement data is more active, weight is larger.Calculating formula is as follows:
W
2jmeet
W in formula
2j---the objective weight of sensitive factor j;
δ
j---the amount of variability of a jth sensitive factor;
D
j---the standard deviation of sensitive factor j;
X
j---the mean value of a jth sensitive factor.
3) combining weights method:
The subjective weighted value of overall target and objective weight value, calculate and try to achieve each sensitive factor shared weighted value in each characteristic area.Obvious W
jwith W
1jand W
2jall should be close as far as possible, solve according to minimum relative information Entropy principle method of Lagrange multipliers:
(4) each feature zones values in each cell is calculated in conjunction with above-mentioned characteristic feature district quantitative formula and sensitive factor weighted value, compared by zones values and get maximum zones values, draw redox character district belonging to each cell, provide groundwater pollution of refuse landfill process identification division methods.
Embodiment
Technical scheme of the present invention mainly comprises two parts, namely sets up the quantization method of feature based district sign and determines that quantizing index weights provides the method identifying and divide groundwater pollution of refuse landfill process based on combining weights method.
The specific implementation process of the groundwater contamination process identification division methods carried is described below in conjunction with certain refuse landfill of the north.
Selected dissolved oxygen DO, nitrite, ferrous iron, sulfide and carbon dioxide are as identifying the sensitive factor dividing landfill yard groundwater contamination process;
Sensitive factor shared weight in each characteristic area is calculated based on combining weights method;
Select the Monitoring Data of certain refuse landfill periphery monitoring well of the north as shown in table 1, and calculate according to aforementioned sensitive factor weighing computation method, show that each sensitive factor shared weighted value in each redox character district is as shown in table 2:
Based on each sensitive factor of trying to achieve in the quantization formula in above-mentioned characteristic feature district and previous step shared weighted value in each characteristic area, solve landfill yard downstream and divide each feature zones values in each cell;
Add up each feature zones values in above-mentioned each cell by program means and automatically choose maximum zones values and be decided to be redox character district belonging to this cell, finally draw the groundwater contamination process identification division result of certain refuse landfill of the north as shown in Figure 2.
From landfill yard groundwater contamination process identification division result, there are these five redox character districts of methane phase district, sulfate reduction district, Fe3+ reduction district, nitrate reduction district and hydrogen reduction district in this place really.
The Monitoring Data of each sensitive factor of each well location of table 1 refuse landfill
* in table: L represents and do not detect.
Table 2 combining weights method calculates each sensitive factor weighted value shared by each characteristic area
| Carbon dioxide | Sulfide | Ferrous iron | Nitrite | Dissolved oxygen DO | |
| Methane phase district | 0.3496 | 0.2208 | 0.1325 | 0.1211 | 0.1742 |
| Sulfate reduction district | 0.2750 | 0.3905 | 0.1191 | 0.1308 | 0.1297 |
| Fe3+ reduction district | 0.1275 | 0.1371 | 0.4165 | 0.1829 | 0.1241 |
| Nitrate reduction district | 0.1116 | 0.1311 | 0.1824 | 0.3611 | 0.2013 |
| Hydrogen reduction district | 0.1364 | 0.1205 | 0.1494 | 0.2040 | 0.3706 |
Claims (6)
1. a method for groundwater pollution of refuse landfill process identification division, step is:
1) refuse landfill identification Classification Index is chosen;
2) quantization method that feature based district characterizes is set up;
3) determine to quantize index weights based on combining weights method;
4) each feature zones values is calculated;
5) landfill yard groundwater contamination process identification division result is obtained.
2. method according to claim 1, wherein, choosing dissolved oxygen DO, nitrite, ferrous iron, sulfide and carbon dioxide in step 1 is sensitive factor.
3. method according to claim 1, wherein, step 2 is that groundwater contamination plumage downstream area is divided some cells, utilize each sensitive factor Monitoring Data in actual place, simulate each sensitive factor in the change of groundwater contamination plumage, calculate the methane phase zones values in each cell, sulfate reduction zones values, Fe3+ reduction zones values, nitrate reduction zones values, hydrogen reduction zones values to characterize each district pollution course.
4. method according to claim 3, wherein, calculate the methane phase zones values in each cell, sulfate reduction zones values, Fe3+ reduction zones values, nitrate reduction zones values, hydrogen reduction zones values formula as follows:
M＝A
m*P
am+B
m*P
bm+C
m*P
cm+D
m*P
dm+E
m*P
em
S＝A
s*P
as+B
s*P
bs+C
s*P
cs+D
s*P
ds+E
s*P
es
F＝A
f*P
af+B
f*P
bf+C
f*P
cf+D
f*P
df+E
f*P
ef
N＝A
n*P
an+B
n*P
bn+C
n*P
cn+D
n*P
dn+E
n*P
en
O＝A
o*P
ao+B
o*P
bo+C
o*P
co+D
o*P
do+E
o*P
eo
In formula:
M is methane phase zones values, S is sulfate reduction zones values, F is Fe3+ reduction zones values, N is nitrate reduction zones values, O is hydrogen reduction zones values;
A, B, C, D, E represent carbon dioxide, sulfide, ferrous iron, nitrite and dissolved oxygen DO shared weighted value in each characteristic area successively;
P is sensitive factor characteristic exponent, and the sensitive factor actual concentrations change calculating a certain feature zones values meets it when the objective law of this characteristic area, P=1, P=0 when not meeting.
5. method according to claim 1, wherein, step 3 comprises the steps:
A, calculate the subjective weights W of sensitive factor with analytical hierarchy process
1j, j=1 ~ m;
B, calculate the objective weight W of sensitive factor with VC Method
2j, j=1 ~ m;
The subjective weights W of C, overall target
1jwith objective weight W
2j, solve combining weights W by minimum relative information Entropy principle
j, j=1 ~ m.
6. method according to claim 1, wherein, in each cell that step 4 calculates in each feature zones values, get maximum zones values and be decided to be redox character district belonging to it, finally obtain the identification of landfill yard groundwater contamination process and divide each redox character district result.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106529738A (en) * | 2016-11-28 | 2017-03-22 | 中国环境科学研究院 | Groundwater polluted site repair technology optimization method |
| CN112668943A (en) * | 2021-01-25 | 2021-04-16 | 国网山东省电力公司济宁供电公司 | Distribution line health state assessment method and system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799949A (en) * | 2012-06-25 | 2012-11-28 | 中国环境科学研究院 | Risk assessment method and system for refuse landfill polluted groundwater |
| CN102999709B (en) * | 2012-12-20 | 2016-04-06 | 中国环境科学研究院 | A kind of rural activity district underground water risk stratification assessing zonings method |
| CN104102825A (en) * | 2014-06-29 | 2014-10-15 | 吉林大学 | Groundwater environment quality evaluation method |
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2015
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106529738A (en) * | 2016-11-28 | 2017-03-22 | 中国环境科学研究院 | Groundwater polluted site repair technology optimization method |
| CN112668943A (en) * | 2021-01-25 | 2021-04-16 | 国网山东省电力公司济宁供电公司 | Distribution line health state assessment method and system |
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| CN105046394B (en) | 2018-07-17 |
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Inventor after: Jiang Yonghai Inventor after: Xia Fu Inventor after: Xi Beidou Inventor after: Yang Yu Inventor after: Li Mingxiao Inventor after: Lian Xinying Inventor after: Jia Yongfeng Inventor after: An Da Inventor after: Ma Zhifei Inventor after: Yang Zhou white Inventor before: Jiang Yonghai Inventor before: Xi Beidou Inventor before: Yang Yu Inventor before: Li Mingxiao Inventor before: Lian Xinying Inventor before: Ma Zhifei Inventor before: Yang Zhou white |
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