E3S Web Conf.
Volume 199, 20202020 The 2nd International Conference on Water Resources and Environmental Engineering (ICWREE2020)
|Number of page(s)
|22 October 2020
A farmland immersion evaluation method based on grey clustering
College of Water Resources, Shenyang Agricultural University, Shenyang, China
2 Drainage and Irrigation Management Station of Wuqing District Water Bureau, Tianjin, China
3 Water Bureau of Chaoyang County, Chaoyang, China
* Corresponding author: firstname.lastname@example.org
As we all know, the degree of farmland immersion is affected by many factors such as soil moisture content, natural pore ratio, saturation, soil lithology and so on. However, the conventional submergence assessment method only uses the relative relationship between the depth of phreatic water and the rising height of capillary water to judge the degree of submergence, which is obviously unreasonable. Therefore, in this paper, a method of farmland immersion evaluation based on trigonometric whiteness weight function grey clustering is proposed. The physical properties of soil, surface soil lithology of vadose zone and groundwater level elevation are included in the evaluation index system, and the degree of submergence is classified, and then the weight function is constructed to determine the degree of submergence hazard of each observation point in the immersion area. Case study shows that the method is reasonable and feasible for farmland immersion evaluation.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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