Improved K-RUSLE model and method for calculating soil erosion by using soil formation rate

A K-RUSLE, soil erosion technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as misjudgment of research results, verification and correction of research results, and inability to fully characterize the stress of soil erosion on the ecological environment, etc. Accurate results and improved accuracy

Active Publication Date: 2017-10-10
INST OF GEOCHEM CHINESE ACADEMY OF SCI
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Problems solved by technology

In the existing soil erosion research involving karst areas, although previous studies have recognized that karst is different from non-karst special geological backgrounds, effective solutions have not yet been proposed in the actual soil erosion research process. It is to borrow the research method of non-karst soil erosion to carry out the research on karst soil erosion. This calculation method will cause misjudgment and misjudgment of the research results. In view of the above problems, the present invention first improves the rainfall erosivity factor
[0005] Thirdly, when analyzing the results of soil erosion, most of the studies did not consider the tolerable threshold of soil erosion in the study area, that is, the soil formation rate, and did not test and correct the research results. It is difficult to determine the reliability of the research results. Therefore, The stress of soil erosion on the ecological environment cannot be fully characterized, especially the risk of soil erosion cannot be accurately and effectively assessed

Method used

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Embodiment Construction

[0031] The technical solutions of the present invention are further described below, but the claimed scope is not limited to the description.

[0032] The invention provides an improved K-RUSLE model and a method for calculating soil erosion by soil formation rate, comprising the following steps:

[0033] First, data acquisition and preprocessing. The data required to calculate soil erosion modulus are: daily precipitation data, soil texture and organic matter content, digital elevation model (DEM), normalized vegetation index (NDVI), land use type and lithology vector data. The data to be prepared for calculating the carbonate rock formation rate are the carbonate rock dissolution rate, the percentage of acid insoluble matter, the carbonate rock content percentage, the carbonate rock density, and the non-carbonate rock formation rate. After obtaining the relevant data, reproject the data to make it have a unified projection system and coordinates; perform initial operations ...

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Abstract

The invention provides an improved K-RUSLE model and a method for calculating soil erosion by using a soil formation rate. The method comprises the steps that 1, data is obtained; 2, rainfall erosional force is calculated; 3, an erosion modulus is calculated; 4, lithological characters are cut; 5, the karst soil formation rate is calculated; 6, the soil erosion modulus is checked out; 7, the soil erosion modulus is corrected. According to the method, the karst soil erosion amount and the non-karst soil erosion amount are processed respectively, a rainfall erosional force factor is subjected to karstification, and the rainfall with no erosion generated can be effectively removed, so that results of the rainfall erosional force are more precise; based on a threshold value of the soil formation rate, the theoretical soil erosion modulus is subjected to validity test, meanwhile, error correction is conducted, and the accuracy rate of the soil erosion results can be remarkably improved.

Description

technical field [0001] The invention relates to an improved K-RUSLE model and a soil formation rate calculation method for soil erosion, belonging to the fields of water and soil conservation and ecological environment monitoring. Background technique [0002] Accurately quantifying the time and space differentiation law of soil erosion, and clarifying its occurrence intensity and regional type have important scientific value for effectively implementing soil and water conservation work and preventing soil erosion. Especially in karst ecologically sensitive and fragile areas, accurate quantification of soil erosion is very lacking. [0003] First, based on the RULSE soil erosion model and GIS and RS technology, various factors of soil erosion are obtained, and the temporal and spatial evolution characteristics of soil erosion modulus, erosion amount, and erosion intensity are studied. It is a common research method for soil erosion. However, in the traditional RULSE model a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG06F2219/10G16Z99/00
Inventor 白晓永钱庆欢田义超吴璐华肖建勇
Owner INST OF GEOCHEM CHINESE ACADEMY OF SCI
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