江苏省水环境质量监测现状与对策分析
|
摘要
简述了近40年来江苏省水环境质量监测工作正朝着监测对象不断完善、监测频次渐趋合理、监测指标全面覆盖的方向发展。指出,监测能力建设滞后于管理需求、重复监测影响管理决策、冗余监测增加工作负荷、监测点位设置缺乏针对性是当前江苏省水环境质量监测存在的主要问题。提出,加强监测系统能力建设、建立水质监测权威性、提高水质监测效能、提升数据研判能力的水环境质量监测建议,为环境管理、污染防治提供科学决策支撑。
In the past 40 years,the monitoring work of water environmental quality in Jiangsu Province is developing towards the direction of continuous improvement of monitoring objects,rational monitoring frequency and comprehensive coverage of monitoring indicators. It is pointed out that monitoring capacity construction lags behind management needs,repeated monitoring affects management decision-making,redundant monitoring increases workload,and lack of targeting of monitoring points is the main problem in current Jiangsu water environment quality monitoring. Some suggestions are put forward,such as strengthening the monitoring system capacity building,establishing the authority of water quality monitoring,improving the water quality monitoring efficiency,and enhancing the ability of data research and judgment,so as to provide scientific data support for accurate pollution control.
In the past 40 years,the monitoring work of water environmental quality in Jiangsu Province is developing towards the direction of continuous improvement of monitoring objects,rational monitoring frequency and comprehensive coverage of monitoring indicators. It is pointed out that monitoring capacity construction lags behind management needs,repeated monitoring affects management decision-making,redundant monitoring increases workload,and lack of targeting of monitoring points is the main problem in current Jiangsu water environment quality monitoring. Some suggestions are put forward,such as strengthening the monitoring system capacity building,establishing the authority of water quality monitoring,improving the water quality monitoring efficiency,and enhancing the ability of data research and judgment,so as to provide scientific data support for accurate pollution control.
引文
[1]国务院办公厅.国务院办公厅关于印发生态环境监测网络建设方案的通知(国办发[2015]56号)[EB/OL].(2015-08-12)[2018-01-08].http://www.gov.cn/zhengce/content/2015-08/12/content_10078.htm.
[2]程炜,王经顺,范清华.关于江苏省环境监测垂直管理制度改革的思考[J].环境监控与预警,2018,10(1):1-5.
[3]ZHAI Xiaoyan,XIA Jun,ZHANG Yongyong.Water quality variation in the highly disturbed Huai River Basin,China from 1994 to2005 by multi-statistical analyses[J].Science of the Total Environment,2014,(496):594-606.
[4]WAN Rongrong,CAI Shanshan,LI Hengpeng,et al.Inferring land use and land cover impact on stream water quality using a Bayesian hierarchical modeling approach in the Xitiaoxi River Watershed,China[J].Journal of Environmental Management,2014,(133):1-11.
[5]ZOU Rui,ZHANG Xiaoling,LIU Yong,et al.Uncertaintybased analysis on water quality response to water diversions for Lake Chenghai:a multiple-pattern inverse modeling approach[J].Journal of Hydrology,2014,(514):1-14.
[6]杨员,张新民,徐立荣,等.美国水质监测发展历程及其对中国的启示[J].环境污染与防治,2015,37(10):86-91.
[7]RICE E W,BARD R D,EATON A D,et al.Standard methods for the examination of water and wastewater[M].15th ed.Washington,D.C.:American Public Health Association,1985.
[2]程炜,王经顺,范清华.关于江苏省环境监测垂直管理制度改革的思考[J].环境监控与预警,2018,10(1):1-5.
[3]ZHAI Xiaoyan,XIA Jun,ZHANG Yongyong.Water quality variation in the highly disturbed Huai River Basin,China from 1994 to2005 by multi-statistical analyses[J].Science of the Total Environment,2014,(496):594-606.
[4]WAN Rongrong,CAI Shanshan,LI Hengpeng,et al.Inferring land use and land cover impact on stream water quality using a Bayesian hierarchical modeling approach in the Xitiaoxi River Watershed,China[J].Journal of Environmental Management,2014,(133):1-11.
[5]ZOU Rui,ZHANG Xiaoling,LIU Yong,et al.Uncertaintybased analysis on water quality response to water diversions for Lake Chenghai:a multiple-pattern inverse modeling approach[J].Journal of Hydrology,2014,(514):1-14.
[6]杨员,张新民,徐立荣,等.美国水质监测发展历程及其对中国的启示[J].环境污染与防治,2015,37(10):86-91.
[7]RICE E W,BARD R D,EATON A D,et al.Standard methods for the examination of water and wastewater[M].15th ed.Washington,D.C.:American Public Health Association,1985.