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农村黑臭水体综合评估方法

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农村黑臭水体的排查是美丽乡村建设的重要环节。以河南省周口市3个县的141个农村黑臭水体为评估对象,运用相关性分析、多元回归分析以及识别结果敏感性分析等方法,探索并建立了一种新的农村黑臭水体评估方法。结果表明,相较于传统的指南法,新方法在黑臭水体的判别上更为精确。指南法在一般水体的评估上适用,但在评价黑臭程度的水体时,各评价指标的分歧较大,真阳性率较低。新方法考虑了农村黑臭水体的形成原因,将指南法中的溶解氧(DO)替换为总磷(TP),并提出了一种"感官+NH3-N+TP"融合的综合评价方法,更符合农村黑臭水体的实际情况。新方法的黑臭水体评估准确率(AUC)为0。86,显著高于指南法的0。71。新方法快速、简洁且贴近实际,为我国广大农村地区黑臭水体的识别和下一步的治理提供了可靠的依据。
Research on the comprehensive assessment method for rural black and odorous water bodies
The investigation of black and odorous water bodies in rural areas is a crucial aspect of beautiful rural construction.Evaluating 141 black and odorous water bodies in three counties of Zhoukou City,Henan Province,a new assessment method for rural black and odorous water bodies was established using correlation analysis,multiple regression analysis,and sensitivity analysis methods.Compared to the traditional guideline-based method,this new method showed more precise performance in the judgment of black and odorous water bodies.Although the guideline-based method was more suitable for general water bodies,there was a larger divergence among the evaluation indicators in evaluating the water bodies with varying degrees of foul smell,resulting in a lower true positive rate.The new method took into account the causes of black and odorous water bodies in rural areas,replaced dissolved oxygen(DO)with total phosphorus(TP)compared to the guideline-based method,and proposed a comprehensive evaluation method considering sensory,NH3-N and TP,which was more in line with the actual situation of rural black and odorous water bodies.The accuracy rate(AUC)value by the new method for evaluating black and odorous water bodies was 0.86,which was significantly higher than the AUC values of 0.71 by the guideline-based method.The new method was fast,concise,and practical,which can provide a reliable basis for the identification and subsequent treatment of black and odorous water bodies in rural areas of China.

rural black and odorous water bodiescomprehensive evaluationmultiple regression analysissensitivityreceiver operating characteristic curve

彭佳华、鹿晓菲、史斌、蔡文倩、胡明、王军强

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沈阳建筑大学市政与环境工程学院,沈阳 110168

中国科学院生态环境研究中心,北京 100085

生态环境部土壤与农业农村生态环境监管技术中心,北京 100012

中国地质调查局自然资源综合调查指挥中心,北京 100055

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农村黑臭水体 综合评价 多元回归分析 灵敏度 受试者工作特征曲线

2024

环境工程学报
中国科学院生态环境研究中心

环境工程学报

CSTPCD北大核心
影响因子:0.804
ISSN:1673-9108
年,卷(期):2024.18(5)