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Updated: Jul 23, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
[The accuracy analysis on Kriging estimation of the water quality parameters of lakes]
1Depart. of Urban and Environmental Sciences, Peking Uni., Beijing 100871, China. rm-liu@263.net
Abstract:
The spatial distribution of pollutants in lakes is required in the study of lakes. The key issue is the spatial optimal estimation. This paper elaborated the characteristics of Kriging variance and analyzed systematically the accuracy of Kriging estimation on water quality parameters of lakes in the light of a practical example of Taihu Lake. The accuracy of estimation was determined by many factors such as variogram, distribution of sampling sites and so on, and was not related to the values of sampling data.
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