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Classification of water quality in low-lying area in Vietnamese Mekong delta using set pair analysis method and Vietnamese water quality index

机译:越南湄公河三角洲低洼地区水质分类,采用套对分析方法和越南水质指数

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摘要

A rational water quality assessment program directly affects a success of a national socio-economic development strategy. This study was aimed to evaluate and classify surface water quality in Dong Thap province, Vietnam, using set pair analysis (SPA) and national water quality index (WQI_VN) methods. The water quality data was collected at 58 locations in 2019 by the Department of Natural Resources and Environment of Dong Thap province. Sixteen variables including temperature (degrees C), pH, turbidity (NTU), dissolved oxygen (DO, mg/L), biological oxygen demand (BOD, mg/L), chemical oxygen demand (COD, mg/L), total suspended solids (TSS, mg/L), ammonia (N-NH4+, mg/L), nitrite (N-NO2-), nitrate (N-NO3-, mg/L), total nitrogen (TN, mg/L), orthophosphate (P-PO43-, mg/L), chloride (Cl-, mg/L), sulfate (SO42-, mg/L), coliform (MPN/100 mL), and Escherichia coli (MPN/100 mL) were monitored four times a year (58 water samples x 16 parameters x 4 monitoring times). The findings presented that TSS, BOD, COD, N-NH4+, N-NO2-, P-PO43-, coliform, and E. coli were the main constraints on water quality. The results of the entropy weight calculation indicated that deteriorated water quality was in the order of microbiological nutrients organic matters. Surface water quality was evaluated at medium (level III) and poor (level IV) by SPA and WQI_VN, respectively; however, the combination of SPA and entropy weight was considered more efficient in this classification and a positive spatial autocorrelation was also found through Moran's I. The spatial distribution of water quality based on SPA classification revealed that better water quality was found in the inner parts of the study area. Due to its ease and effectiveness, set pair analysis should be considered for inclusion in the water quality assessment program of Vietnam.
机译:理性水质评估计划直接影响国家社会经济发展战略的成功。本研究旨在利用集对分析(SPA)和国家水质指数(WQI_VN)方法来评估和分类Dong Thap Province的地表水质。董THAP省的自然资源和环境部于2019年58个地点收集了水质数据。十六个变量,包括温度(℃),pH,浊度(NTU),溶解氧(DO,Mg / L),生物需氧量(BOD,Mg / L),化学需氧量(COD,MG / L),总悬挂固体(TSS,Mg / L),氨(N-NH4 +,Mg / L),亚硝酸盐(N-NO 2-),硝酸盐(N-NO 3 - ,Mg / L),总氮(TN,Mg / L),正磷酸盐(P-PO43-,Mg / L),氯化物(Cl-,Mg / L),硫酸盐(SO 42-,Mg / L),大肠菌株(MPN / 100mL)和大肠杆菌(MPN / 100mL)每年监测四次(58个水样x 16参数x 4监测时间)。结果表明,TSS,BOD,COD,N-NH 4 +,N-NO 2,P-PO43-,COLIMS和E.COLI是水质的主要限制。熵权的结果表明,水质劣化是微生物学和GT的顺序。营养素&有机问题。 SPA和WQI_VN分别在中等(III)和差(IV级)和差(IV级)和WQI_VN的差的表面水质;然而,SPA和熵权的组合被认为在这种分类中更有效,并且通过Moran的I,也发现了积极的空间自相关。基于SPA分类的水质的空间分布显示,在内部的内部发现了更好的水质研究区。由于其缓解和有效性,应考虑集对分析纳入越南水质评估计划。

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