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SWAT-based gray water footprint calculation method for cotton

A calculation method and gray water technology, applied in design optimization/simulation, special data processing applications, etc., can solve problems such as low accuracy, rough calculation results, and difficulty in obtaining detailed data, and achieve the effect of improving calculation accuracy

Inactive Publication Date: 2021-10-01
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the problem of rough calculation results and low accuracy caused by the existing gray water footprint calculation method, and propose a SWAT-based gray water footprint calculation method for cotton, which is used to solve the problems caused by crop types and planting management methods. Diversification, difficulty in obtaining detailed data and other issues lead to low accuracy of calculation results, and a more accurate calculation of the gray water footprint of cotton crops in the accounting area

Method used

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  • SWAT-based gray water footprint calculation method for cotton
  • SWAT-based gray water footprint calculation method for cotton
  • SWAT-based gray water footprint calculation method for cotton

Examples

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Effect test

Embodiment 1

[0030] According to the gray water footprint calculation method of cotton based on SWAT of the present invention, take the cotton area of ​​Yuli County, southern Xinjiang, as an example, calculate the cotton crop gray water footprint in TN, and the specific steps are as follows:

[0031] Step 1. Determine the scope of gray water footprint calculation in Yuli County, South Xinjiang by consulting the cotton planting distribution data in Yuli County, South Xinjiang;

[0032] Step 2, determine the appropriate modeling area within the scope of gray water footprint accounting;

[0033] Step 3: Analyze the water consumption process of cotton planting in the modeling area, including climate environment, soil, planting operations, etc., and calculate the gray water footprint components;

[0034] Step 4. According to the gray water footprint components, collect elevation data, soil type data, land use data, local meteorological and hydrological data, farmland management operation data, ...

Embodiment 2

[0038] According to the gray water footprint calculation method of cotton based on SWAT of the present invention, take the cotton area of ​​Yuli County, southern Xinjiang, as an example, calculate the cotton crop gray water footprint in TP, and the specific steps are as follows:

[0039] Step 1. Determine the scope of gray water footprint calculation in Yuli County, South Xinjiang by consulting the cotton planting distribution data in Yuli County, South Xinjiang;

[0040] Step 2, determine the appropriate modeling area within the scope of gray water footprint accounting;

[0041] Step 3: Analyze the water consumption process of cotton planting in the modeling area, including climate environment, soil, planting operations, etc., and calculate the gray water footprint components;

[0042] Step 4. According to the gray water footprint components, collect elevation data, soil type data, land use data, local meteorological and hydrological data, farmland management operation data, et...

Embodiment 3

[0046] According to the gray water footprint calculation method of cotton based on SWAT of the present invention, take the cotton area of ​​Yuli County, southern Xinjiang, as an example, calculate the gray water footprint of cotton crops in COD, and the specific steps are as follows:

[0047] Step 1. Determine the scope of gray water footprint calculation in Yuli County, South Xinjiang by consulting the cotton planting distribution data in Yuli County, South Xinjiang;

[0048] Step 2, determine the appropriate modeling area within the scope of gray water footprint accounting;

[0049] Step 3: Analyze the water consumption process of cotton planting in the modeling area, including climate environment, soil, planting operations, etc., and calculate the gray water footprint components;

[0050] Step 4. According to the gray water footprint components, collect elevation data, soil type data, land use data, local meteorological and hydrological data, farmland management operation d...

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Abstract

The invention discloses an SWAT-based gray water footprint calculation method for cotton. The method comprises the following steps of: determining a grey water footprint accounting range of a to-be-studied area by looking up cotton planting distribution data in the to-be-studied area; determining a proper modeling area within the grey water footprint accounting range; analyzing the water consumption process of cotton planting in the modeling area, and accounting gray water footprint components; collecting elevation data, soil type data, land utilization data, local meteorological and hydrological data and farmland management operation data of the modeling area according to grey water footprint components, inputting the data into SWAT, and dividing a hydrological response unit; and inputting meteorological data, crop management operation and other attributes into the hydrological response unit, constructing a grey water footprint quantitative model of cotton in the to-be-studied area by utilizing SWAT, calibrating and simulating for one year, and calculating the grey water footprint of cotton in the to-be-studied area by taking different substances as indexes. According to the method, the accurate grey water footprint of cotton in the to-be-studied area can be obtained.

Description

technical field [0001] The invention belongs to the technical field of water pollution evaluation methods, and more specifically relates to a SWAT-based cotton gray water footprint calculation method. Background technique [0002] The concept of gray water footprint was proposed by Hoekstra and Chapagain in 2008, which is defined as the amount of fresh water required to dilute a certain pollution load to the maximum concentration allowed by water quality standards. Internationally, there are relatively many studies on blue water footprints and green water footprints, and the research on gray water footprints is still in its infancy. The definition and research methods of gray water footprints need to be further improved. In recent years, many scholars have made relevant research on the gray water footprint from different spatial scales, including the global research scope, the national research scope, and different watersheds as the research scope. Taking the whole world as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 赵鹏王宇辰罗娜
Owner TIANJIN UNIV
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