Enterprise water risk assessment system in Taihu Lake basin
TANG Deng-yong1,2, ZHANG Cong1,2, YANG Ai-hui3, HU Jie-li1,2, XU Rui-chen1,2, ZHENG Ning-jie1,2
1. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Jiangsu Nanjing 210044, China;
2. School of Environment Science and Engineering, Nanjing University of Information Science & Technology, Jiangsu Nanjing 210044, China;
3. World Wide Fund For Nature(Switzerland) Beijing Representative Office-Shanghai Project Office, Shanghai 200083, China
Based on enterprise water risk assessment system developed by WWF and DEG, a localization of enterprise water risk assessment system in Taihu Lake basin was researched. According to the water environment situation, management mode of enterprises, relevant standards and regulations, some indexes were modified and enterprise water risk assessment system in Taihu Lake basin was established, which includes 9 physical risk indexes, 4 regulatory risk indexes and 9 reputation risk indexes. Analytic hierarchy process (AHP) was employed to calculate the weights of indexes. The indexes were graded by five-grade and five-score scale, which referred to the original assessment system. The weighted comprehensive index summation process was adopted to calculate the comprehensive assessment value. A case study was conducted at a chemical enterprise. The results showed that the comprehensive water risk assessment value of the enterprise was 2.61 in 2015, and its risk grade was Ⅲ, belonging to medium risk. After it implemented seven water risk reduction projects, its comprehensive water risk assessment value was 1.94 in 2016, and its risk grade was Ⅱ, belonging to low risk. The assessment system can provide reference for assessment and reduction of enterprise water risk in Taihu Lake basin.
Stuart M, Lapworth D, Crane E, et al. Review of risk from potential emerging contaminants in UK groundwater[J]. Science of the Total Environment, 2012,416(2):1-21.
[5]
Nikolaow I E, Nikolaidou M K, Tsagarakis K P. The response of small and medium-sized enterprises to potential water risks:an eco-cluster approach[J]. Journal of Cleaner Production, 2015,11(2):4550-4557.
Nevidimova O G, Yankovich P E, Yankovich K S. Functional-analytical capabilities of GIS technology in the study of water use risks[J]. IOP Conference Series:Earth and Environmental Science, 2015,24(1):12-20.
[8]
Norén V, Hedelin B, Bishop K. Drinking water risk assessment in practice:the case of Swedish drinking water producers at risk from floods[J]. Environment Systems and Decisions, 2016,36(3):239-252.
Liu M, Wei J, Wang G, et al. Water resources stress assessment and risk early warning-a case of Hebei Province China[J]. Ecological Indicators, 2017,73:358-368.
[12]
Symeon E C. Water resources conservancy and risk reduction under climatic instability[J]. Water Resources Management, 2011, 25(4):1059-1062.
Azarnivand A, Hashemi-Madani F S, Banihabib M E. Extended fuzzy analytic hierarchy process approach in water and environmental management (case study:Lake Urmia Basin, Iran)[J]. Environmental Earth Sciences, 2015,73(1):13-26.
[26]
Chen X, Gao H, Yao X, et al. Ecosystem-based assessment indices of restoration for Daya Bay near a nuclear power plant in South China[J]. Environmental Science & Technology, 2010, 44(19):7589-7595.
[27]
Huang P H, Tsai J S, Lin W T. Using multiple-criteria decision-making techniques for eco-environmental vulnerability assessment:a case study on the Chi-Jia-Wan Stream watershed, Taiwan[J]. Environmental Monitoring & Assessment, 2010,168:141-158
[28]
Sun H, Wang S, Hao X. An improved analytic hierarchy process method for the evaluation of agricultural water management in irrigation districts of north China[J]. Agricultural Water Management, 2017,179:324-337.
[29]
Shabbir R, Ahmad S S. Water resource vulnerability assessment in Rawalpindi and Islamabad, Pakistan using analytic hierarchy process (AHP)[J]. Journal of King Saud University-Science, 2015,28(4):293-299.
[30]
Sutadian A D, Muttil N, Yilmaz A G, et al. Using the analytic hierarchy process to identify parameter weights for developing a water quality index[J]. Ecological Indicators, 2017,75:220-233.
