Assessment and estimation of runoff and soil loss using novel machine learning techniques for conservation bench terraces.

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Tác giả: Bihari Lal Dhyani, Ambrish Kumar, Manish Kumar, Uday Mandal, Narinder Kumar Sharma

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Netherlands : The Science of the total environment , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 726622

Conservation of land and water resources, especially in terms of runoff and soil loss, has the utmost priority in enhancing agricultural production, especially in the foothills of the Himalayas. Many engineering measures have been applied to reduce runoff velocity and soil loss. The present study deals with the effectiveness of Conservation Bench Terraces (CBT) as engineering measures constructed in the outer foothills of the Himalayas (ICAR-IISWC, Dehradun, India) to reduce runoff and soil losses in the context of strom size. Further, the development of runoff and soil loss models using available climatic parameters and machine learning techniques. The parameters used were maximum temperature (T
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