Agricultural non-point source phosphorus pollution estimation method based on soil property space distribution

Abstract

An agricultural non-point source phosphorus pollution estimation method based on soil property space distribution comprises the three steps: (1) building a response relation between the soil property space distribution and non-point source pollution load, wherein the step (1) comprises model small study region selection, soil property space distribution, typical area non-point source pollution soil and water assessment tool (SWAT) model simulation and relation building between soil property and the non-point source pollution load space distribution; (2) collecting and detecting a to-be-estimated region soil sample; and (3) estimating agricultural non-point source pollution load. According to the agricultural non-point source phosphorus pollution estimation method based on the soil property space distribution, the agricultural non-point source load of a research area can be rapidly and effectively forecast and estimated only the regional soil property space distribution needs to be obtained on the basis that the response relation between the soil property space distribution and the model simulated non-point source pollution load is built. The agricultural non-point source phosphorus pollution estimation method based on the soil property space distribution has a good application prospect in the technical field of non-point source pollution management.

Description

technical field [0001] The invention belongs to the technical field of non-point source pollution management, and relates to a simple and quick method for estimating agricultural non-point source pollution, in particular to a method for estimating agricultural non-point source phosphorus pollution based on the spatial distribution of soil attributes. Background technique [0002] Agricultural non-point source pollution refers to the chemical fertilizers, pesticides, soil loss and agricultural wastes in agricultural production activities such as farmland farming. In the process of precipitation (irrigation), along with hydrological processes such as surface runoff and underground seepage, pollutants are carried into water bodies, causing pollution. The temporal and spatial differences of our water resources and high-intensity agricultural production have exacerbated the degree of agricultural non-point source pollution. Under the effective control of industrial point sources ...

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Problems solved by technology

Compared with field monitoring, model simulation has the advantages of small workload, easy access to basic data, and intuitive and credible results. However, model simulation also has its own defects: First, each model simulation still requires detailed meteorological and land use information. , hydrological data as support, in the simulation of non-point source pollution in areas without data, the data is the bottleneck restricting the simulation of the model; 2. The model is an approximate simulation of reality, due to the design and mechanism defects of the model itself and various uncertain factors The impact on the simulation accuracy of the model, the simulation of the model cannot achieve a 100% simulation of the real situation

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