整合多源遥感技术改进鄱阳湖水资源管理方法

Xinye Chen, Pengcheng Feng, Weijun Feng, Zhuozhuo Shao
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引用次数: 0

摘要

随着科学技术的进步,人类社会的物质生活日趋完善。然而,这也导致人类的生存环境越来越恶劣。水资源受到不同程度的污染,影响了生态环境的可持续发展。基于新兴技术的水资源管理迫在眉睫。本文旨在基于多源遥感数据,通过有色可溶性有机物污染、水体富营养化、重金属盐污染等污染指标,分析评价鄱阳湖水体污染物及污染类型。本文认为,鄱阳湖面临丰水期有机物污染严重、水体富营养化程度中等、重金属镉锰盐超标等问题。本文认为,建立相对不同的污染指标体系,更有利于分析和评价不同地域的水资源污染状况。随着遥感科学的进步,越来越多的遥感技术被应用到水资源污染的治理和管理过程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Multi-source Remote Sensing Technology to Improve Water Resource Management Methods at Poyang Lake
With the progress of science and technology, the material life of human society is becoming more and more perfect. Still, it also causes the human living environment to become more and more harsh. Water resources are polluted to different degrees, affecting the sustainable development of ecology. Water resource management based on emerging technologies is urgent. The purpose of this paper is to analyze and evaluate the pollutants and types of pollution in the water body of Poyang Lake based on multi-source remote sensing data through the pollution indicators of colored soluble organic matter pollution, water body eutrophication, and heavy metal salt pollution. This paper concludes that Poyang Lake faces problems such as high organic pollution during the abundant water period, medium eutrophication of the water body, and excessive cadmium and manganese heavy metal salts. This paper finds that establishing relatively different pollution indicator systems is more conducive to analyzing and evaluating water resource pollution in different geographical areas. With the progress of remote sensing science, more and more remote sensing technology is applied to the governance and management process of water resource pollution.
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