Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment

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Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment

機譯：評估靜態(tài)和動態(tài)造成因素對使用SWAT，EBF的侵蝕潛力的重要性，在潛水環(huán)境中具有不確定性和合理性，邏輯回歸和新的集合模型

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The sub-tropical countries like India experience large-scale land degradation due to erosion of the surface soil. So, there is a direct impact of monsoon climate in this region; large-scale water-induced erosion has gradually increased due to an extreme precipitation event. There is an unbalanced situation that happens between regolith formation and rate of surface soil erosion. The amount of agricultural production is decreasing day by day due to the degradation of topsoil. The gap between demand for the crops and the rate of production is thus rapidly increasing. Evaluation of possible erosion zones is needed to identify vulnerable areas for the implementation of suitable remedies. Estimating the morphotectonic parameters and their effect on potential for erosion is important for determining the most possible erosion zones. Here, most of the morphometric and tectonic parameters are considered as static and dynamic causative factors. Due to the diversified hydro-geomorphic association, in recent times the rate of soil erosion in the Kangsabati River Basin is very high. Here, the SWAT modelling tool was considered for the estimation of the morphometric parameters in a systematic way. The evidential belief function (EBF) with uncertainty and plausibility, logistic regression (LR) and ensemble EBF-LR were then used to estimate this region's erosion potentiality. For estimating the erosion potentiality, the location of gully and non-gully points is considered and that is randomly divided into 70/30 ratio. It can be said from this analysis that most of the watershed of this river basin, the erosion potentiality rate, is moderate to very high. Thus, these watersheds need to be carefully analysed by implementing certain structural and non-structural measures to reduce the potential for erosion.

機譯：由于表面土壤的侵蝕，印度等亞熱帶國家經(jīng)歷了大規(guī)模的土地退化。因此，在該地區(qū)的季風氣候存在直接影響;由于極端的降水事件，大規(guī)模的水致腐蝕逐漸增加。有一個不平衡的情況，在易氧性形成和表面土壤侵蝕率之間發(fā)生。由于表土的降解，農(nóng)業(yè)生產(chǎn)的數(shù)量正在減少。因此，對作物的需求與生產(chǎn)率之間的差距迅速增加。需要評估可能的侵蝕區(qū)域，以確定實施合適的補救措施的脆弱區(qū)域。估計Morphotection參數(shù)及其對侵蝕潛力的影響對于確定最可能的侵蝕區(qū)域很重要。這里，大多數(shù)形態(tài)測量和構(gòu)造參數(shù)被認為是靜態(tài)和動態(tài)的致病因子。由于多元化的水性地貌協(xié)會，近次康薩迪河流域土壤腐蝕速度非常高。這里，考慮以系統(tǒng)方式估計SWAT建模工具。隨后使用具有不確定性和合理性的證據(jù)信念功能（EBF），邏輯回歸（LR）和集合EBF-LR來估計該地區(qū)的侵蝕潛力。為了估計侵蝕潛力，考慮了溝壑和非溝壑點的位置，并且隨機分為70/30的比例。從這個分析中可以說，大多數(shù)流域都是這種河流流域，侵蝕潛力率，中等至非常高。因此，需要通過實施某些結(jié)構(gòu)和非結(jié)構(gòu)措施來仔細分析這些流域，以減少侵蝕潛力。

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《Journal of the Indian Society of Remote Sensing》 |2020年第5期|共25頁
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正文語種 eng
中圖分類遙感技術(shù);
關(guān)鍵詞
Land degradation; Soil erosion; GIS; SWAT; EBF; Ensemble model;

機譯：土地退化;土壤侵蝕;GIS;SWAT;EBF;合奏模型;

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外文文獻

1. Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment [J] . Journal of the Indian Society of Remote Sensing . 2020,第5期

機譯：評估靜態(tài)和動態(tài)造成因素對使用SWAT，EBF的侵蝕潛力的重要性，在潛水環(huán)境中具有不確定性和合理性，邏輯回歸和新的集合模型
2. Multivariate Logistic Regression Model for Soil Erosion Susceptibility Assessment under Static and Dynamic Causative Factors [J] . Sholagberu Abdulkadir Taofeeq, Ul Mustafa Muhammad Raza, Yusof Khamaruzaman Wan, Polish Journal of Environmental Studies . 2019,第5期

機譯：靜態(tài)和動態(tài)因果關(guān)系下土壤侵蝕敏感性評估的多元Logistic回歸模型
3. Multivariate Logistic Regression Model for Soil Erosion Susceptibility Assessment under Static and Dynamic Causative Factors [J] . Sholagberu Abdulkadir Taofeeq, Ul Mustafa Muhammad Raza, Yusof Khamaruzaman Wan, Polish Journal of Environmental Studies . 2019,第5期

機譯：靜態(tài)和動態(tài)造成因子下土壤腐蝕易感性評估多變量邏輯回歸模型
4. Analysis of risk factors for carotid intima-media thickness in patients with type 2 diabetes mellitus in Western China assessed by logistic regression combined with a decision tree model [O] . Yuan-Yuan Zhou, Hong-Mei Qiu, Ying Yang, 2020

機譯：邏輯回歸結(jié)合決策樹模型評估中國西部2型糖尿病患者頸動脈內(nèi)中膜厚度的危險因素
5. Multivariate Logistic Regression Model for Soil Erosion Susceptibility Assessment under Static and Dynamic Causative Factors [O] . Abdulkadir Sholagberu, Muhammad Ul Mustafa, Khamaruzaman Yusof, 2019

機譯：靜態(tài)和動態(tài)造成因子下土壤腐蝕易感性評估多變量邏輯回歸模型

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Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment

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