CN111476450A - Water resource index data processing method - Google Patents
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 132
- 238000003672 processing method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000011161 development Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 9
- 238000004519 manufacturing process Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 3
- 239000008235 industrial water Substances 0.000 claims description 3
- 239000003403 water pollutant Substances 0.000 description 14
- 239000011159 matrix material Substances 0.000 description 12
- 239000003344 environmental pollutant Substances 0.000 description 6
- 231100000719 pollutant Toxicity 0.000 description 6
- 241000282414 Homo sapiens Species 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
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Abstract
The embodiment of the invention provides a water resource index data processing method, which comprises the following steps: determining the water resource development utilization rate of a target area; determining the GDP water consumption per ten thousand yuan of a target area; determining the area of the per-capita water area of a target area; and generating a water resource index data set. The scheme provides a water resource index data processing method, which can generate a water resource index data set aiming at a target region, thereby providing a reliable data set for determining the water environment bearing capacity data processing method of the target region and realizing the fine processing of water resources.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a water resource index data processing method.
Background
With the development of society, non-renewable natural resources consumed by human beings are more and more, so that the sustainable development of society is reduced. Clean drinking water and clean air are indispensable natural resources for human survival, but China is exactly a country with serious water shortage; the per capita water resource amount of China is only 2300 cubic meters, which is only 1/4 in the average level of the world, and is one of the most poor countries of the per capita water resource in the world; however, China is the country with the most water consumption in the world. Meanwhile, China also has the problem that water resources are not seriously uneven, although the state starts a south-to-north water transfer project, some large cities in the north are still affected by water resource shortage, and particularly, groundwater is excessively mined to cause a series of serious ecological problems. In order to make the society develop continuously, the water resource needs to be controlled and managed finely, and the current situation of extensive management is broken away; therefore, technologies for accurately analyzing and processing various data of water resources are urgently needed.
Disclosure of Invention
The invention provides a water resource index data processing method, which is used for carrying out fine analysis and processing on water resource data.
In order to solve the technical problems, the invention provides a water resource index data processing method, which avoids the problem of inaccurate water resource index caused by extensive data processing.
In order to solve the above problems, the present invention provides a method for processing water resource index data, which is characterized by comprising:
determining the water resource development utilization rate of a target area;
determining the GDP water consumption per ten thousand yuan of a target area;
determining the area of the per-capita water area of a target area;
and generating a water resource index data set.
In some embodiments, the determining the water resource development utilization rate of the target area comprises:
determining a water resource development utilization rate A1 according to the total water consumption of the drainage basin and the historical average water resource total amount of the drainage basin:
in some embodiments, the total basin water usage may include at least: total industrial water, agricultural water, domestic water and environmental consumption.
In some embodiments, the determining the GDP water consumption per ten thousand dollars for the target area comprises:
the ratio of the water resource consumption by unit GDP to the corresponding total value of ten thousand yuan national production; wherein the GDP water consumption A2 per ten thousand yuan of the target area comprises GDP water consumption A21 per ten thousand yuan of industry, GDP water consumption A22 per ten thousand yuan of agriculture and GDP water consumption A23 per ten thousand yuan of life;
in some embodiments, the determining the area of the human-water area comprises: determining the average water area A3 according to the water area and the total population number of the target area:
the scheme of the invention at least comprises the following beneficial effects:
the scheme of the invention provides a water resource index data processing method, which can generate a water resource index data set aiming at a target region, thereby providing a reliable data set for determining the water environment bearing capacity data processing method of the target region and realizing the fine processing of water resources.
Drawings
Fig. 1 is a schematic flow chart of a water resource index data processing method in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, the embodiment of the present invention provides a water resource index data processing method, which can accurately determine a water resource index of a local area, so as to provide a reliable data source for water environment bearing capacity data analysis and processing.
In an embodiment of the present invention, a method for processing water resource index data is provided, including:
step 1, determining the water resource development utilization rate of a target area; specifically, the water resource development utilization rate A1 is determined according to the total water consumption of the drainage basin and the historical average water resource total amount of the drainage basin:
in an embodiment of the present invention, the total amount of basin water may at least include: total industrial water, agricultural water, domestic water and environmental consumption.
Step 2, determining water consumption A2 of each ten thousand yuan GDP (national production total value) of a target area; specifically, the ratio of the water resource consumption by unit GDP to the corresponding total value of ten thousand yuan national production; wherein the GDP water consumption A2 per ten thousand yuan of the target area comprises GDP water consumption A21 per ten thousand yuan of industry, GDP water consumption A22 per ten thousand yuan of agriculture and GDP water consumption A23 per ten thousand yuan of life;
step 3, determining the area A3 of the human-average water area; specifically, the average water area a3 is determined from the water area and the total population number of the target area:
after the water resource index data is determined, the water environment bearing capacity data can be determined through the following scheme, which specifically comprises the following steps:
step 1, carrying out normalization processing on water environment indexes; wherein the water environment index may include the water resource index data;
step 2, determining the weight of the water environment index;
step 3, generating an evaluation model according to the determined water environment indexes and the corresponding weight values;
and 4, checking the bearing capacity of the water environment according to the standard exceeding index of the concentration of the water pollutants.
In some embodiments, the step 1 comprises:
processing the forward index by using the formula (1), wherein the larger the value of the forward index is, the larger the bearing capacity of the water environment is; the reverse index is processed by the formula (2), and the larger the value of the reverse index is, the smaller the bearing capacity of the water environment is;
the processing formula for the forward index is as follows:
the processing formula for the reverse index is as follows:
in the formula, VjFor normalized index value, Vj≤1；bjThe actual value of the j index; b isjmaxThe upper limit value of the standard value of the interval corresponding to the j-th index actual value; b isjminThe lower limit value of the standard value of the interval corresponding to the j-th index actual value; qjmaxThe upper limit value of the loading degree corresponding to the j index actual value is set; qjminThe lower limit value of the corresponding load degree of the j index actual value is set.
In some embodiments, the step 2 comprises:
step 21, establishing a hierarchical structure model: decomposing elements influencing the water environment into a plurality of layers from top to bottom according to attributes, wherein the elements in each layer belong to or influence the elements in the upper layer; the top layer of the hierarchical mechanism model is a target layer, and the bottom layer of the hierarchical mechanism model is an index layer;
step 22, constructing a pairwise comparison judgment matrix: determining the membership between elements of different layers in the hierarchical structure model, and comparing the elements pairwise according to the membership; comparing every two elements in the same layer; determining the relative importance among the elements and generating a judgment matrix B, which is marked as (B)ij)n×n：
Step 23, for the constructed judgment matrix B, finding the eigenvector corresponding to the maximum eigenvalue includes:
computing per-column normalization
Averaging canonical columns
Vector W ═ W1,w2,…,wn) Where W is the feature vector sought;
calculating the maximum eigenvalue of the judgment matrix B
In the formula (BW)iIs the ith element in the vector BW;
determining the maximum characteristic root lambda of the judgment matrixmaxAnd its corresponding eigenvector W; according to the consistency ratio CR pairJudging the matrix to carry out consistency check, if the matrix has satisfactory consistency, normalizing the eigenvector W to be used as a single-ordering ranking weight vector; otherwise, correcting the scale of the judgment matrix;
judging whether the matrix has satisfactory consistency by using a random consistency ratio CR, and if CR is generally considered to be less than 0.1, judging that the matrix has satisfactory consistency; the formula for CR is as follows:
in the formula, CR is a random consistency ratio; CI is a consistency index; RI is the average random consistency index, which can be found in Table 3; lambda [ alpha ]maxJudging the maximum eigenvalue of the matrix; n is the order of the decision matrix.
In some embodiments, the step 3 comprises:
obtaining a comprehensive index evaluation model S representing the relative size of the water environment bearing capacity of the region by adopting a weighted summation methodWECC：
In the formula, SWECCThe comprehensive evaluation index of the bearing capacity of the water environment is obtained; siThe fraction value of the ith index in the index layer is obtained; omegaiThe weight of the ith index in the index layer; m is the number of indexes.
In some embodiments, the method step 4 comprises: determining the over-standard index of the water pollutant concentration:
when i ═ 1, i.e. the water contaminant is DO:
Rwater ijk＝1/(Cijk/Sik)-1
When i is 2, …,6, i.e. the water pollutant is COD respectivelyMn、BOD5、CODCr、NH3N, TP time:
Rwater ijk＝Cijk/Sik-1
RWater jk＝max(RWater ijk)，i＝1,2,…,6
Wherein R isWater ijkI term water pollutant concentration standard exceeding index R of k section of area jWater ijIs the i-th water pollutant concentration standard exceeding index, R, of the area jWater jkIs the water pollutant concentration standard exceeding index, R, of the kth section of the area jWater jIs the region j water pollutant concentration standard exceeding index, CijkThe annual average concentration monitoring value S of the ith water pollutant of the kth section of the area jikIs the water quality standard limit of the ith water pollutant of the kth section. i is 1,2, …,6, corresponding to DO and COD respectivelyMn、BOD5、CODCr、NH3-N, TP; k is a control section, k is 1,2, …, Nj，NjThe number of control sections in the region j is shown.
When the pollutant concentration standard exceeding index is larger than 0, the water pollutant concentration is in a standard exceeding state; when the pollutant concentration standard exceeding index is between-0.2 and 0, the pollutant concentration is in a state close to standard exceeding; when the pollutant concentration overproof index is less than-0.2, the water pollutant concentration is in an overproof state.
In some embodiments, the method further comprises:
according to the bearing capacity S of the water environmentWECCDetermining the bearing capacity of the regional water environment in the value range;
wherein the bearing capacity S of the water environmentWECCWhen the value range of (1) is 0-0.25, the bearing capacity is low; bearing capacity S of water environmentWECCWhen the value range of (1) is 0.25-0.5, the bearing capacity is middle; bearing capacity S of water environmentWECCWhen the value range of (A) is 0.5-0.75, the bearing capacity is high(ii) a Bearing capacity S of water environmentWECCWhen the value range of (A) is 0.75-1, the bearing capacity is extremely high.
In some embodiments, the method further comprises:
according to the determined water pollutant concentration standard exceeding index calculation result, the bearing capacity S of the water environmentWECCCorrecting; the method specifically comprises the following steps:
when the pollutant concentration standard exceeding index is larger than 0, the water pollutant concentration is in a standard exceeding state, and the bearing capacity S of the water environmentWECCShould be less than 0.5; when the pollutant concentration standard exceeding index is less than-0.2, the water pollutant concentration is in a state of not standard exceeding, and the bearing capacity S of the water environmentWECCShould be greater than 0.75.
The scheme of the invention provides a water resource index data processing method, which can generate a water resource index data set aiming at a target region, thereby providing a reliable data set for determining the water environment bearing capacity data processing method of the target region and realizing the fine processing of water resources.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (5)
1. A water resource index data processing method is characterized by comprising the following steps:
determining the water resource development utilization rate of a target area;
determining the GDP water consumption per ten thousand yuan of a target area;
determining the area of the per-capita water area of a target area;
and generating a water resource index data set.
2. The method for processing water resource index data according to claim 1, wherein the determining the water resource development utilization rate of the target area comprises:
determining a water resource development utilization rate A1 according to the total water consumption of the drainage basin and the historical average water resource total amount of the drainage basin:
3. the method for processing water resource index data according to claim 2, wherein the total amount of basin water usage at least comprises: total industrial water, agricultural water, domestic water and environmental consumption.
4. The water resource index data processing method according to claim 1, wherein the determining the GDP water consumption per ten thousand yuan of the target area comprises:
the ratio of the water resource consumption by unit GDP to the corresponding total value of ten thousand yuan national production; wherein the GDP water consumption A2 per ten thousand yuan of the target area comprises GDP water consumption A21 per ten thousand yuan of industry, GDP water consumption A22 per ten thousand yuan of agriculture and GDP water consumption A23 per ten thousand yuan of life;
5. the water resource index data processing method of claim 1, wherein the determining the area of the shared water area comprises: determining the average water area A3 according to the water area and the total population number of the target area:
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663527A (en) * | 2012-04-28 | 2012-09-12 | 清华大学 | Water resource ecological sensitivity analysis method for urban and rural planning |
| CN105389742A (en) * | 2015-11-12 | 2016-03-09 | 中国科学院遥感与数字地球研究所 | Remote sensing identification method and system for water environment sensitive area and littoral zone construction method |
| US20170328878A1 (en) * | 2016-05-13 | 2017-11-16 | Chinese Research Academy Of Environmental Sciences | Rating evaluation method for groundwater pollution source intensity |
| CN110276556A (en) * | 2019-06-26 | 2019-09-24 | 中国环境科学研究院 | One kind being based on shifty environmental carrying capacity index weights calculation method and device |
| CN110310019A (en) * | 2019-06-17 | 2019-10-08 | 北京师范大学 | A kind of construction method of basin water systematic collaboration Bearing Capacity Evaluation model |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663527A (en) * | 2012-04-28 | 2012-09-12 | 清华大学 | Water resource ecological sensitivity analysis method for urban and rural planning |
| CN105389742A (en) * | 2015-11-12 | 2016-03-09 | 中国科学院遥感与数字地球研究所 | Remote sensing identification method and system for water environment sensitive area and littoral zone construction method |
| US20170328878A1 (en) * | 2016-05-13 | 2017-11-16 | Chinese Research Academy Of Environmental Sciences | Rating evaluation method for groundwater pollution source intensity |
| CN110310019A (en) * | 2019-06-17 | 2019-10-08 | 北京师范大学 | A kind of construction method of basin water systematic collaboration Bearing Capacity Evaluation model |
| CN110276556A (en) * | 2019-06-26 | 2019-09-24 | 中国环境科学研究院 | One kind being based on shifty environmental carrying capacity index weights calculation method and device |
Non-Patent Citations (1)
| Title |
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| 韩伟超: "《滇中城市群水资源承载力评估与优化调控》", 《中国优秀硕士学位论文全文数据库基础科学辑》 * |
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