基于WQImin和APCS-MLR的河流水环境质量管控方案研究OA

Aiming at the high monitoring cost and difficult pollution source tracing in surface water quality management,63 transboundary sections in the Haihe River Basin were selected as the research objects.Based on monthly water quality monitoring data from 2020 to 2023,the WQImin model optimization and APCS-MLR source apportionment technique were a-dopted to systematically reveal the spatiotemporal evolution of water quality and pollution driving mechanisms of transboundary rivers,with the purpose of establishing an efficient and accurate surface water environmental quality control scheme.The results showed that:1)Water quality exhibited prominent spatiotemporal heterogeneity.Affected by the superposition of urban and agricultural non-point sources during the flood season(June-September),the proportion of good-quality water bodies was 20%～40%lower than that in the non-flood season;2)All monitoring sections were classified into three types via cluster analysis:Urban non-point source type,urban-rural domestic pollution type and compound pollution type.Seasonal WQImin models were established for flood and non-flood periods(R2≥0.789),which reduced monitoring indicators to 6～9 items and greatly cut monitoring cos ts;3)The APCS-MLR model was applied to identify primary factors affecting surface water environ-ment and quantify their contributions to each water quality parameter;4)Two monitoring modes("classified models with unified parameters")and a dynamic traceable management strategy provided scientific support for transboundary river regulation.