摘要
大汶河流域地表水环境质量对当地经济、环境影响至关重要,通过对"十三五"期间大汶河干流地表水环境监测数据进行分析,运用地表水综合污染指数法进行评价,并用Spearman秩相关系数法检验污染变化可信度,来全面展示大汶河干流地表水环境质量,掌握其污染变化发展趋势,为"十四五"时期水生态环境管理提供有效依据。结果表明,大汶河干流地表水环境质量现状良好,"十三五"末水环境质量达到地表水环境Ⅲ类标准;"十三五"期间各监测点位监测指标超标率明显降低,地表水环境质量稳定好转,其中化学需氧量和五日生化需氧量指标改善较大,水质实现质的提升。分析其改善原因主要是政府监管力度的加大、基础设施的建设和生态保护修复工程的实施等人为因素的积极影响。
The surface water environmental quality of Dawen River Basin is very important to the local economy and environment.This paper analyzes the surface water environmental monitoring data of the main stream of Dawen River during the "13th five year plan "period,uses the surface water comprehensive pollution index method to evaluate,and uses the Spearman rank correlation coefficient method to test the reliability of pollution change,To comprehensively display the surface water environmental quality of the main stream of Dawen River,grasp its pollution change and development trend,and provide an effective basis for water ecological environment management during the 14th Five Year Plan period.The results show that the current situation of surface water environmental quality in the main stream of Dawen River is good,and the water environmental quality reaches the class III standard of surface water environment at the end of the "13th five year plan" During the "13th Five Year Plan" period,the over standard rate of monitoring indicators at all monitoring points was significantly reduced,and the surface water environmental quality was steadily improved.Among them,the indicators of chemical oxygen demand and five-day biochemical oxygen demand were greatly improved,and the quality of water quality was improved.It is analyzed that the improvement reasons are mainly the positive influence of human factors such as the increase of government supervision,the construction of infrastructure and the implementation of ecological protection and restoration projects.
出处
《化工设计通讯》
CAS
2021年第11期162-163,共2页
Chemical Engineering Design Communications
关键词
大汶河
地表水
环境质量
趋势分析
秩相关系数
dawen river
surface water
environmental quality
trend analysis
rank correlation coefficient
