Huaicheng Guo

TL;DR: An environmental system dynamics model, named ErhaiSD, is developed for supporting this planning task of effective planning for the Lake Erhai Basin, China, and the results are directly useful for simulating and evaluating a variety of decision actions and their dynamic consequences.

TL;DR: It is demonstrated that the multivariate statistical methods are useful for interpreting complex data sets in the analysis of temporal and spatial variations in water quality and the optimization of regional water quality monitoring network.

TL;DR: GIS-based spatial analysis facilitated chemometric methods and indicated that Cu, Cr, and Zn were derived from human impacts while Al, Ba, Mn, V and Fe originated from rock weathering.

TL;DR: The comprehensive application of different multivariate methods and geographic information systems was used to evaluate the spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong, revealing that most of the variables were primarily influenced by soil weathering and organic pollution, nutrient pollution (or agricultural runoff), and mineral pollution.

TL;DR: For Lake Dianchi, it would not be possible to recover solely by reducing the external watershed nutrient load; the mechanisms of internal cycling should also be considered as an approach to inhibit the release of sediments and to enhance denitrification.