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Method for evaluating GIS-based agricultural non-point pollution production potential index

A technology of non-point source pollution and evaluation method, which is applied in the field of GIS-based evaluation of agricultural non-point source pollution occurrence potential index, which can solve the problems of non-point source pollution control lack of pertinence and effective discount of control measures.

Inactive Publication Date: 2007-02-28
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since there is no suitable method for evaluating the potential of non-point source pollution and identifying priority control areas, the control of non-point source pollution is not very targeted, and the effectiveness of control measures is greatly reduced.

Method used

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  • Method for evaluating GIS-based agricultural non-point pollution production potential index
  • Method for evaluating GIS-based agricultural non-point pollution production potential index
  • Method for evaluating GIS-based agricultural non-point pollution production potential index

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Embodiment Construction

[0072] In order to implement the present invention better, the agricultural non-point source pollution occurrence potential index evaluation method based on GIS has been piloted in Dapu Town, Yixing City, Jiangsu Province,

[0073] Dapu Town has a population of 32,000 and a total land area of ​​46km 2 , of which the water area is nearly 1,000 hectares, the cultivated land area is 230 hectares, the population density is large, the proportion of land and water is large, and the land utilization rate is high.

[0074] 1 Preliminary data collection

[0075] The village boundary map, soil type map, soil use type map, Dapu elevation map, breeding situation of each village, population data, rainfall and other data of Dapu Town were collected through relevant local departments, some of which were obtained through field investigation.

[0076] 2 Establishment of GIS database

[0077] Use Mapinfo to carry out image registration (WGS84, 50 North) and vectorization on the collected pict...

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Abstract

The invention relates to an agriculture non-point pollution generating potentiality index evaluating method, based on GIS, wherein it uses Mapinfo as platform, building country boundary, soil type, soil utilization type, and superior layers; inputting character data; calculating out the year flux index (RI), soil loss index (SPI), fertilizer amount index (CUI), and human-animal discharge index (PAL) of each country; using model to calculate the non-point pollution generating potentiality index (APPI); then using said APPI to compare the pollution generating potentiality; and using classified method to display it on GIS picture. The invention can fix the first control area with serous pollution and main factor that affecting the non-point pollution generating potentiality, to improve the treatment.

Description

1. Technical field [0001] The invention relates to a method for evaluating and predicting agricultural environmental pollution, in particular to a method for evaluating the occurrence potential index of agricultural non-point source pollution based on GIS (Geographic Information System). 2. Background technology [0002] Non-point source pollution (NPS--Non-point source pollution, also known as surface source) refers to the pollutants entering the surface or groundwater in a wide-area, dispersed, and trace form. The trace amount refers to that the concentration of NPS pollutants is usually lower than that of point source pollution, but the total load of NPS pollution is very huge. [0003] Non-point source pollution is closely related to the precipitation process in the region. Its volume is large and wide, its formation is random, its impact is lagging, its impact factors are complex, and its monitoring and control are difficult. It mainly includes agricultural non-point so...

Claims

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Application Information

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IPC IPC(8): G01N33/00G06F19/00
Inventor 王晓蓉王宁郭红岩
Owner NANJING UNIV
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