Study on the Risk Pattern of Non-Point Source Pollution Using GIS Technology in the Dianchi Lake Watershed

Article Preview

Abstract:

A rapid quantitative risk evaluation system of non-point source pollution (NPSP), based on comprehensive consideration of various factors such as topographic features, land use construction, annual mean precipitation, soil erosion characteristics and pollutant removal cost, was constructed using an Spatial Analysis Module of GIS on watershed scale. We investigated the risk pattern of NPSP in the Dianchi Lake Watershed using the rapid risk assessment system. The results indicated that NPSP risk pattern showed the arc or normal distribution trend in the Dianchi Lake Basin, namely the medium risk area of NPSP is the largest (about 1311 km2). Moreover, the spatial difference of high risk NPSP pattern is remarkable: the high risk region for NPSP was primarily in the 10 km range of the southern and eastern parts and the 5 km range of western part around the Dianchi Lake.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 356-360)

Pages:

771-776

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] K.X. Xing, H.C. Guo, Y.F. Sun, H Bin and Y.T. Huang, Simulation of non-point source pollution in watershed scale: the case of application in Dianchi Lake Basin, Geogr. Res. (In Chinese), 24 (2005) 549-558.

Google Scholar

[2] X.W. Ding, The simulation research on agricultural non-point source pollution in Yongding River in Hebei Province, Procedia Environ. Sci. 2(2010) 1770-1774.

DOI: 10.1016/j.proenv.2010.10.189

Google Scholar

[3] J.H. Zhang, T. Shen, M.H. Liu, Y. Wan, J.B. Liu and J. Li, Research on non-point source pollution spatial distribution of Qingdao based on L-THIA model, Math. Comput. Modell. 54(2011) 1151-1159.

DOI: 10.1016/j.mcm.2010.11.048

Google Scholar

[4] M. Straškraba, Ecotechnological methods for managing non-point source pollution in watersheds, Water Sci. Technol. 33 (1996) 73-80.

DOI: 10.2166/wst.1996.0490

Google Scholar

[5] ZY. Shen, Q. Hong, H. Yu and J.F. Niu, Parameter uncertainty analysis of non-point source pollution from different land use types, Sci. Total. Environ. 408(2010) 1971-1978.

DOI: 10.1016/j.scitotenv.2009.12.007

Google Scholar

[6] D. Edwin, X.L. Zhang and T. Yu, Current status of agricultural and rural non-point source Pollution assessment in China, Environ. Pollut. 158(2010) 1159-1168.

DOI: 10.1016/j.envpol.2009.10.047

Google Scholar

[7] Z.X. Xue, Hydrographical Models, Science Press, Beijing, 2006.

Google Scholar

[8] S.M. Huang, X.K. Ou, S.H Yang and C.X. Yu, Assessment of Sustainable Development, Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg, 2001.

Google Scholar

[9] J.N. Chen, G.H. Li, H.T. Wang, X. Huang, W.L. Zhang, Y.N. L, P.F. Du, Nonpoint Source Pollution Control: Case Studies in Dianchi Lake Catchments, China Environmental Science Press, Beijing, 2009.

Google Scholar

[10] Information on http://www.kmepb.gov.cn/

Google Scholar

[11] G.B. Song, Y. Chen, M.R. Tian, S.H. Lv, S.S. Zhang, S.L. Liu, The Ecological Vulnerability Evaluation in Southwestern Mountain Region of China Based on GIS and AHP Method, Procedia Environ. Sci. 2 (2010) 465-475.

DOI: 10.1016/j.proenv.2010.10.051

Google Scholar

[12] G.A. Tang, X Yang, GIS Spatial Analysis Experimental Course, Science Press, Beijing, 2006.

Google Scholar

[13] H. Zhen, Y.G. Li, Evaluation on Ecological Sensitivity of Dianchi Lake Basin based on GIS, Forest Inventory Plann. (In Chinese), 34 (2009) 12-16.

Google Scholar

[14] S.H. Yang, B. He, Landscape Pattern and Area-Source Pollution Control in Dianchi Basin, Yunnan Science & Technology Press, Kunming, China, 1998.

Google Scholar