摘要
为了有效促进洨河水质的持续改善,采用水质指数法评价2016—2021年石家庄市洨河水质污染特征,对氨氮、总磷(TP)、五日生化需氧量(BOD_(5))等主要污染物的时间和空间分布特征及污染现状进行评价。结果表明,洨河接纳的沿岸生活污水和农田地表径流是主要污染源。近六年来,经过综合治理,氨氮、TP和BOD_(5)等主要污染物下降幅度分别为86.1%,69.5%,76.0%,水质虽有明显提升,但仍处于污染状态,主要污染物下降幅度呈逐年收窄趋势,因此,现行治污措施存在局限性,洨河水质仍需进一步精准治理。建议“十四五”期间水利、环保部门在水质监测及数据收集上加大投入力度,更为准确地分析水质变化趋势,持续做好污染源精准管控治理,同时开展好农业生产模式调整和生活污水综合治理等工作。
In order to promote the continuous improvement of the water quality of Xiaohe River effectively,the water pollution data of Xiaohe River in Shijiazhuang from 2016 to 2021 were analyzed with the method of Water Quality Index.The characteristics of temporal and spatial distribution of ammonia nitrogen,total phosphorus(TP),five days′biochemical oxygen demand(BOD_(5))as the main pollutants were evaluated.The results show that domestic sewage and farmland surface runoff discharged into Xiaohe River are the main source of pollutants.The recent six years sees 86.1%,69.5%,76.0%drop of the ammonia nitrogen,TP and BOD_(5) with the help of the combined environmental protection measures.The water quality of the river has improved significantly,but it is still in a status of being polluted.A much smaller pollutants drop year by year shows the limitations of current protection measures,and the water quality of Xiaohe River still need to be further refined.During the"Fourteenth Five Year Plan"period,to get more progress,more water quality monitoring and data collecting are urgently needed,and more accurate measures and suggestions about the control of the pollutant sources need to be taken to improve and regulate of the water quality of Xiaohe River,while agricultural model adjustments and domestic sewage treatments along the river are also strongly recommended.
作者
罗毅
李秋芳
路娜
李治国
宋利娜
徐娜
LUO Yi;LI Qiufang;LU Na;LI Zhiguo;SONG Lina;XU Na(Shijiazhuang Environmental Monitoring Center,Shijiazhuang,Hebei 050022,China;Hebei Eco-Environmental Monitoring Center,Shijiazhuang,Hebei 050000,China)
出处
《河北工业科技》
CAS
2022年第5期404-410,共7页
Hebei Journal of Industrial Science and Technology
基金
河北省“三三三人才工程”资助项目(A202102006)。
关键词
水污染防治工程
洨河
水质指数法
氨氮
总磷
五日生化需氧量
趋势分析
water pollution prevention engineering
Xiaohe River
Water Quality Index method
ammonia nitrogen
total phosphorus
BOD 5
trend analysis
