MUSLE 方法结果的预测与控制:地理统计模型

Q3 Earth and Planetary Sciences
Fatima Hara, A. Qarbous, L. Ouzzaouit, Abderrahim Jabar
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引用次数: 0

摘要

水土流失和径流造成的沉积物迁移是威胁世界农田的最大环境问题之一。它们的退化往往不可逆转,是造成脆弱地区社会经济失衡的主要原因。这些地区土壤流失的管理和控制主要基于侵蚀率模型,一般采用两种方法:修订通用土壤流失方程法和修正通用土壤流失方程法。与修订的通用土壤流失方程法相比,修正的通用土壤流失方程法得出的结果经常出现离群值。本文旨在基于全球 70 多个流域的修正通用土壤流失方程法数值数据库,预测和控制流域中的修正通用土壤流失方程法数值。为此,使用了地理统计分析(简单线性回归法),建立了一个判定系数 R2= 0.96(有效性为 96%)的模型,从而通过公式估算出修正的通用土壤流失方程法的可容忍不确定性:Y (V 修正通用土壤流失方程 LE) = 0.76 X (V_RUSLE) + 1.7。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction and Control of the MUSLE Method Results: Geo-Statistical Model
Soil erosion and sediment transport by runoff are among the largest environmental problems threatening agricultural lands in the world. Their often irreversible degradation is a major source of socio-economic imbalance in vulnerable areas. The management and control of soil loss in these areas are essentially based on erosion rate modeling generally using two methods: Revised Universal Soil Loss Equation and Modified Universal Soil Loss Equation. The Modified Universal Soil Loss Equation method results often present outliers' values compared to the Revised Universal Soil Loss Equation method. This paper aims to predict and control the MUSLE method values in watersheds based on a database of Revised Universal Soil Loss Equation method values in more than 70 watersheds around the world. For this purpose, Geo-statistical analysis (Simple Linear Regression method) was used to allow the development of a model with a coefficient of determination R2= 0.96 (validity of 96%) and thus the estimation of the tolerable uncertainties of the Modified Universal Soil Loss Equation method by the equation: Y (V Modified Universal Soil Loss Equation LE) = 0.76 X (V_RUSLE) + 1.7.
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来源期刊
Iraqi Geological Journal
Iraqi Geological Journal Earth and Planetary Sciences-Geology
CiteScore
1.80
自引率
0.00%
发文量
152
审稿时长
7 weeks
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