State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environmental, Beijing Normal University, NO.19 Xinjiekouwaida Street, Haidian District, Beijing, 100875, China.
Ecotoxicology. 2011 Jul;20(5):1131-40. doi: 10.1007/s10646-011-0618-0. Epub 2011 Mar 6.
A comprehensive indicator model for risk assessment and a multiple-level theoretical indicator system of the water quality-quantity-ecosystem (WQQE) for the Haihe River basin were constructed in this research. A fuzzy optimization model was used to assess risks for the four water systems of the Haihe River basin, and their risk order from high to lower risk was southern Haihe River system (SH), northern Haihe River system (NH), Tuhaimajiahe River system (TH) and Luanjiyanhai River system (LJ). The highest risk value (SH) was 0.8737. In terms of the WQQE, the secondary parameters for assessment of the four water system risks were 0.3579, 0.7226, 0.9547, and 0.5428 respectively. The results indicated that the main control factors for pollution for LJ, TH, SH and NH differed from each other and involved pollutant level, development of water resources, water flow and quality, ecosystem health and the hydrologic structure.
本研究构建了用于海河流域风险评估的综合指标模型和水质-水量-生态系统(WQQE)的多层次理论指标体系。利用模糊优化模型对海河四大水系的风险进行评估,风险由高到低的顺序为:海河南系(SH)、海河北系(NH)、徒骇马颊河系(TH)和滦河蓟运河系(LJ)。风险值最高的是海河南系(SH),为 0.8737。就 WQQE 而言,四大水系风险评估的二级参数分别为 0.3579、0.7226、0.9547 和 0.5428。结果表明,LJ、TH、SH 和 NH 的主要污染控制因素各不相同,涉及污染物水平、水资源开发、水流和水质、生态系统健康和水文结构。