Modeling the hydrological response of a snow-fed river in the Kashmir Himalayas through SWAT and Artificial Neural Network

IF 3 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

International Journal of Environmental Science and Technology Pub Date : 2023-08-30 DOI:10.1007/s13762-023-05170-7

M. S. Sofi, K. S. Rautela, M. Muslim, S. Bhat, I. Rashid, J. C. Kuniyal

引用次数: 1

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通过SWAT和人工神经网络模拟克什米尔喜马拉雅山脉一条雪流河流的水文响应

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Environmental Science and Technology 环境科学-环境科学

CiteScore

5.60

自引率

6.50%

发文量

806

审稿时长

10.8 months

期刊介绍： International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management. A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made. The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.