Non-point source pollution risk assessment for surface drinking water catchments is an important basis and premise for the scientific management over water environment, while remote sensing technology may timely find the spatial distribution pattern and variation of risk. Coupling the Non-point source model and remote sensing data is a potential method for the water environment risk assessment. The dual Non-point source model independently developed by China is chosen to study its practical applicability in the experimental catchment area of Hebei Yuecheng Reservoir in combination with the remote sensing and GIS data, and to study the spatial distribution pattern of the Non-point source Phosphorus (P) pollution generated by the spatial landuse. The result shows that:(1) the coupled model is well adapted to the catchment area of Hebei Yuecheng Reservoir, and the simulated Non-point source P load is strongly related to the observation data of the hydrologic stations such as Liujiazhuang, Guantai and etc.; (2) The disorderly development of social economy is the main cause of Non-point source pollution, and the farmlands, urban and rural residential areas in the catchment area are the major risk sources of Non-point source pollution; (3) the two assessment units, catchment unit and administration unit, are employed in this study. They are complementary to each other, which is convenient for management because they can reflect not only the P risk distribution but also the specific location of the administration areas within the risk area.
Article navigation
1 June 2014
Research Article|
June 01 2014
Coupling remote sensing data and eco-hydrological model to evaluate Non-point source pollution risk for water resource management Available to Purchase
Shudong Wang;
Shudong Wang
1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100101, PR China
Search for other works by this author on:
Lifu Zhang;
Lifu Zhang
1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100101, PR China
Search for other works by this author on:
Xia Zhang;
Xia Zhang
1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100101, PR China
Search for other works by this author on:
Wanqing Li;
Wanqing Li
2
Hebei University of Engineering, Handan, Hebei, 056038, China
Search for other works by this author on:
Tong Shuai;
Tong Shuai
1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100101, PR China
Search for other works by this author on:
Haitao Zhu;
Haitao Zhu
1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100101, PR China
Search for other works by this author on:
Xiaoping Chen
Xiaoping Chen
1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100101, PR China
Search for other works by this author on:
Publisher: Emerald Publishing
Online ISSN: 2515-8082
Print ISSN: 1708-5284
World Journal of Engineering (2014) 11 (2): 157–162.
Citation
Wang S, Zhang L, Zhang X, Li W, Shuai T, Zhu H, Chen X (2014), "Coupling remote sensing data and eco-hydrological model to evaluate Non-point source pollution risk for water resource management". World Journal of Engineering, Vol. 11 No. 2 pp. 157–162, doi: https://doi.org/10.1260/1708-5284.11.2.157
Download citation file:
Suggested Reading
Free service for assessment of factory hazards
Pigment & Resin Technology (June,1998)
Mapping of synchronous activities through virtual management momentum simulation
Construction Innovation: Information Process Management (April,2011)
Salary survey: Asset and liability management: the prospects ahead
Balance Sheet (September,2003)
CIOB launches “Risk Assessor”
Structural Survey (December,2005)
Distributed database damage assessment paradigm
Information Management & Computer Security (March,2006)
Related Chapters
ISO/IEC 27001
Quality Management: Tools, Methods, and Standards
Reject, Delay, or Consent? Parents’ Internet Discussions of the HPV Vaccine for Children and Implications for HPV Vaccine Uptake
Technology, Communication, Disparities and Government Options in Health and Health Care Services
Chapter 14 Innovation, Risk, Precaution, and the Regulation of GM Crops
Genetically Modified Food and Global Welfare
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
