摘要
为分析昆明市水代谢系统内水质代谢状况,采用基于灰水足迹的城市水质代谢生态网络分析方法,通过量化参与水质代谢的各过程及构建参与水质代谢过程中各组分之间的网络关系模型,评估了影响昆明市水质代谢的主要因素与2017年的水质代谢效果。结果表明:在目前治理措施下,城市生活污染源仍是影响其水质代谢的主要因素,污染贡献占比达到35.33%,其次是城市降雨径流非点源污染(占23.12%);昆明市水质代谢过程是紊乱的。
In order to analyze the water quality metabolism in the water metabolism system of Kunming,the major factors affecting water metabolism in Kunming and the 2017 water metabolism effect were assessed by adopting the urban water quality metabolism ecological network analysis method based on grey water footprint and by quantifying each process of water metabolism and constructing the network relation model of each component in the process of water metabolism.The results showed that under the current control measures,the pollution source of life in the city was still the main factor affecting the water metabolism,and the contribution of pollution was 35.33%,followed by the non-point source of urban rainfall runoff(23.12%).The overall water metabolism in Kunming is disordered.
作者
吴波
赵越
陈岩
曾维华
赵琰鑫
白辉
秦顺兴
李中华
WU Bo;ZHAO Yue;CHEN Yan;ZENG Weihua;ZHAO Yanxin;BAI Hui;QIN Shunxing;LI Zhonghua(Chinese Academy for Environmental Planning,Beijing 100012,China;United Center for Eco-Environment in Yangtze River Economic Belt,Beijing 100012,China;School of Environment,Beijing Normal University,Beijing 100875,China)
出处
《水资源保护》
CAS
CSCD
北大核心
2020年第3期40-45,75,共7页
Water Resources Protection
基金
国家重大水体科技专项(2012ZX07102)。
关键词
水代谢系统
水质代谢
生态网络分析
灰水足迹
昆明市
water metabolism system
water quality metabolism
ecological network analysis
grey water footprint
Kunming City