Journal
HYDROLOGY RESEARCH
Volume 43, Issue 6, Pages 798-807Publisher
IWA PUBLISHING
DOI: 10.2166/nh.2012.095
Keywords
dynamic risk assessment; fuzzy analytic hierarchy process; hydrological model; projection pursuit cluster; water quality
Categories
Funding
- Major Special Technological Program of Water Pollution Control and Management [2009ZX07106-001]
- National Natural Science Funds of China [51079037]
Ask authors/readers for more resources
With the aim of reducing the losses from water pollution, a dynamic risk assessment model for water quality is studied in this paper. This model is built on the projection pursuit cluster principle and risk indexes in the complex system, proceeding from the whole structure and its component parts. In this paper, the fuzzy analytic hierarchy process is used to screen out index system and determine index weight, while the further value of an index is simulated by hydrological model. The proposed model adopts the comprehensive dynamic evaluation method to analyze the time dimension data, and evaluates the development tendency by combining qualitative analysis with quantitative analysis. The projection pursuit theory is also employed for clustering the spatial dimension data, the optimal projection vector for calculating risk cluster type to compartmentalize risk, and then local conditions for proposing the regulation scheme. The applicational results show that the model has the strong logic superiority and regional adaptability with strict theoretical system, flexible methods, correct and reasonable results and simple implementation to provide a new way for research on risk assessment models of water quality.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available