Effect of land use change on lake water quality in different buffer zones

Most previous studies are based on one year data, it is insignificant and not enough to demonstrate the correlation between land use change and water quality. Such studies have also focused on a single buffer zone, whose influence on water quality is minor compared with that of different buffer zones. According to the above-mentioned problems, we chose Meiliang Bay of Taihu Basin in China as the study area. Meiliang Bay was one of the Taihu lake divisions that faced with serious eutrophication problem, and algae blooms happened from 1987. Five buffer zones were established within 10km catchment along the lakeshore. The relationship between land use and water quality was identified with an exponential model based on 10 year data from 1995 to 2006(data of 1996, 1997 were missing). At last, we analyzed the difference among buffer zones. Finding that the effects of land use types on water quality mainly reflected in 2km and 4km buffer zones, and the effects of spatial patterns mainly reflected in 8km buffer zone. And we also found that the critical factors had a big difference in each buffer, constructed land and farm land were always the critical factors in buffer 2 and buffer 3, but it did not always happen in other buffers. Moreover, this study could also provide practical basis for the critical lake conservation region identification and recognition.

[1]  Patrick L Brezonik,et al.  Analysis and predictive models of stormwater runoff volumes, loads, and pollutant concentrations from watersheds in the Twin Cities metropolitan area, Minnesota, USA. , 2002, Water research.

[2]  K. He,et al.  Testing a Dynamic Complex Hypothesis in the Analysis of Land Use Impact on Lake Water Quality , 2010 .

[3]  Ü. Mander,et al.  Impact of climatic fluctuations and land use change on runoff and nutrient losses in rural landscapes , 1998 .

[4]  D. W. Owens,et al.  Sources of Pollutants in Wisconsin Stormwater , 1993 .

[5]  Lawrence D. Teeter,et al.  The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems , 2000 .

[6]  U. Seeboonruang A statistical assessment of the impact of land uses on surface water quality indexes. , 2012, Journal of environmental management.

[7]  Carolyn T. Hunsaker,et al.  Hierarchical Approaches to the Study of Water Quality in RiversSpatial scale and terrestrial processes are important in developing models to translate research results to management practices , 1995 .

[8]  Lawrence D. Teeter,et al.  Relationships Between Landscape Characteristics and Nonpoint Source Pollution Inputs to Coastal Estuaries , 1999, Environmental management.

[9]  J. Tu,et al.  Examining spatially varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation. , 2008, The Science of the total environment.

[10]  Susanna T. Y. Tong,et al.  Modeling the relationship between land use and surface water quality. , 2002, Journal of environmental management.

[11]  Hengpeng Li,et al.  Inferring land use and land cover impact on stream water quality using a Bayesian hierarchical modeling approach in the Xitiaoxi River Watershed, China. , 2014, Journal of environmental management.

[12]  L. Sliva,et al.  Buffer zone versus whole catchment approaches to studying land use impact on river water quality. , 2001, Water research.

[13]  B. Amiri,et al.  Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan , 2009 .

[14]  J. Tu Spatial Variations in the Relationships between Land Use and Water Quality across an Urbanization Gradient in the Watersheds of Northern Georgia, USA , 2011, Environmental Management.

[15]  William C. Sonzogni,et al.  Pollution from land runoff , 1980 .

[16]  Xinhao Wang,et al.  Integrating water-quality management and land-use planning in a watershed context. , 2001, Journal of environmental management.

[17]  J. Tu Spatially varying relationships between land use and water quality across an urbanization gradient explored by geographically weighted regression. , 2011 .

[18]  Ma Ronghua,et al.  Spatio-temporal distribution of cyanobacteria blooms based on satellite imageries in Lake Taihu, China , 2008 .

[19]  Shiliang Su,et al.  Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression , 2012 .

[20]  Heinz G. Stefan,et al.  Simulating Climate Change Effects in a Minnesota Agricultural Watershed , 1998 .

[21]  Thomas P. Simon,et al.  Influence of habitat, water quality, and land use on macro-invertebrate and fish assemblages of a southeastern coastal plain watershed, USA , 2004 .