The Effect of Water Network Connection Project on Water Quality in Lakes Based on Remote Sensing

Abstract:

Spatial distributions of chlorophyll-a (Chl-a), secchi disc transparency (SD), and total nitrogen (TN) were estimated using Landset7 ETM+ SLC-OFF data before and after the connection project of Donghu Lake and Shahu Lake in Wuhan, China. Results show that water quality in the two lakes is improved in most area, especially in the joint connection. There are 23%, 19%, 18% in average improvement for Chl-a, SD, and TN respectively. This study suggests that besides controlling of point and non-point sources pollution, water network connection project is effective on water quality in lakes.

• Periodical: Applied Mechanics and Materials (Volumes 409-410)
• Pages: 242-245
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.409-410.242
• Online since: September 2013
• Authors: Na Zhao, Xiao Fan Zeng, Sheng Bi, Yue Zhao, Jian Zhong Zhou
• Keywords: Lake, Remote Sensing, Water Network Connection Project, Water Quality

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