Method for controlling soil and water loss in wind-water complex erosion region

Patent metadata

Field	Value
Publication number	US-12399166-B1
Application number	US-202519215889-A
Country	US
Kind code	B1
Filing date	May 22, 2025
Priority date	Jun 27, 2024
Publication date	Aug 26, 2025
Grant date	Aug 26, 2025

Abstract

Disclosed is a method for controlling soil and water loss in a wind-water complex erosion region, which includes: randomly selecting a data acquisition reference point in a historical control area and acquiring a soil sample; detecting soil data of different soil layers on the soil sample, including soil viscosity, moisture content and organic matter content; selecting a plant sample, calculating a solid-binding coefficient of the plant sample and selecting an optimal soil-binding plant; fitting a relationship model; acquiring a control soil sample in a target control area of the wind-water complex erosion region, calculating a flatness and a soil and water loss coefficient u; setting a soil and water loss coefficient threshold u threshold ; and setting a planting density and optimal soil-binding plant type in the target control area. The present invention achieves the optimal soil and water loss control effect by considering soil-binding effects of different plants from multiple aspects.

First claim

What is claimed is:

1. A method for controlling soil and water loss in a wind-water complex erosion region, comprising the following steps:
S 1 : randomly selecting a data acquisition reference point in a historical control area, uniformly selecting a plurality of data acquisition points around the data acquisition reference point, and acquiring a soil sample of a set depth at each of the data acquisition points;
S 2 : detecting soil data of different soil layers on the soil sample, comprising soil viscosity, moisture content and organic matter content, and calculating average soil viscosity n , moisture content s and organic matter content y of the soil samples around the data acquisition reference point;
S 3 : selecting a nearest plant at each data acquisition point as a plant sample, acquiring the plant sample by directly uprooting the plant, calculating a solid-binding coefficient of the plant sample, and selecting an optimal soil-binding plant around the data acquisition reference point;
S 4 : establishing a relationship model between the soil-binding coefficient and the soil viscosity, moisture content and organic matter content, and fitting the relationship model;
S 5 : acquiring a control soil sample in a target control area of the wind-water complex erosion region, calculating a flatness of a soil layer of the target control area according to a depth of a soil layer on each control soil sample, and substituting soil viscosity, moisture content and organic matter content of the control soil samples into a fitted relationship model to obtain a soil-binding coefficient of the target control area; further calculating a soil and water loss coefficient u;
S 6 : setting a soil and water loss coefficient threshold u threshold ;
if u≥u threshold , planting optimal soil-binding plants in the target control area according to a planting density ρ, and controlling the soil and water loss in the wind-water complex erosion region; and
if u<u threshold , increasing a planting density to ρ+Δρ to enable u≥u threshold , planting optimal soil-binding plants in the target control area according to the planting density ρ+Δρ, and controlling the soil and water loss in the wind-water complex erosion region, wherein Δρ is an increased planting density;
the step S 3 specifically comprises:
S 31 : selecting a nearest plant at each data acquisition point as a plant sample, acquiring the plant sample by directly uprooting the plant, measuring a length L and a distribution radius r of a retained root system and a weight t of soil adhering to the root system in the plant sample, and calculating a soil-binding coefficient g e of each plant sample:
g e =exp (L+r+t) ;

S 32 : after calculating soil-binding coefficients (g 1 , g 2 , . . . , g e ) of all plant samples around the data acquisition reference point, selecting a maximum value g max in the soil-binding coefficients (g 1 , g 2 , . . . , g e ), and taking a plant sample corresponding to the maximum value g max as the optimal soil-binding plant around the data acquisition reference point, wherein e is a quantity of plant samples;
the step S 5 specifically comprises:
S 51 : uniformly selecting κ control reference points in the target control area of the wind-water complex erosion region, acquiring control soil samples on the control reference points, and measuring depths of soil layers sequentially descending from a surface soil layer to a highest point in the control soil samples by taking a highest point in the control reference points as a reference to obtain a soil layer depth data set:
{( d 1 1 ,d 2 1 , . . . ,d λ 1 ) 1 ,( d 1 2 ,d 2 2 , . . . ,d λ 2 ) 2 , . . . ,( d 1 κ ,d 2 κ , . . . ,d λ κ ) κ };

wherein d λ κ is a depth of a λ th soil layer of a control soil sample at a κ th control reference point, and λ a quantity of soil layers in the control soil sample;
S 52 : calculating a flatness p of the soil layer of the target control area by using the soil layer depth data set:

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wherein d i κ is a depth of an i th soil layer of the control soil sample at the control reference point, i is a number of the soil layer in the control soil sample, I is a number of the control reference point, and {circumflex over (d)} is a theoretical depth of the control soil layer;
S 53 : calculating average soil viscosity n′, moisture content s′ and organic matter content y′ of control soil samples at a κ th control reference point by using the method of the step S 2 , substituting the average soil viscosity n′, moisture content s′ and organic matter content y′ into the fitted relationship model, and calculating the soil-binding coefficient g′ of the target control area;
S 54 : matching an optimal soil-binding plant around data acquisition reference points in the historical control area according to the soil-binding coefficient g′, minimizing a difference between the soil-binding coefficient g max corresponding to the optimal soil-binding plant and the soil-binding coefficient g′, and obtaining a planting density ρ of the optimal soil-binding plants in the historical control area; and
S 55 : calculating the soil and water loss coefficient u under the current planting density ρ:
u=g max −μ 1 ·exp p +μ 2 ·exp ρ ;

wherein μ 1 is a weight coefficient of the flatness of the soil layer related to the soil and water loss, and μ 2 is a weight coefficient of the plant planting density related to the soil and water loss.

2. The method for controlling the soil and water loss in the wind-water complex erosion region according to claim 1 , wher

Assignees

• China Inst Water Resources & Hydropower Res

Inventors

• Liu Guangquan
• Tu Xiaoning
• Ai Ning
• Liu Liu
• Bai Yingfei
• Du Pengfei
• Zhang Zhimin
• Li Puhang
• Gao Yan
• Hou Jian

Classifications

• G01N33/246 Primary

  for water content · CPC title

• G01N33/0098 Primary

  Plants or trees (wood G01N33/46) · CPC title

• G06Q50/26

  Government or public services (business processes related to the transportation industry G06Q50/40) · CPC title

• G06Q10/0637 Primary

  Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals · CPC title