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文章摘要
MSA水质评价模型及其应用
MSA Water Quality Evaluation Model and Its Application
  
DOI:
中文关键词: 浅层地下水  MSA模型  水质评价  南水北调中线干渠
英文关键词: Shallow groundwater  MSA model  Water quality assessment  Middle route of the South to North Water Diversion Project
基金项目:国家自然科学重点支持基金资助项目(U22A20566)
作者单位
李建林 河南理工大学资源环境学院煤炭安全生产与清洁高效利用省部共建协同创新中心 
张钰锋 河南理工大学资源环境学院中国煤炭地质总局第三水文地质队 
胡兴文 河南理工大学资源环境学院 
王路扬 河南理工大学资源环境学院 
孟亚周 永城煤电控股集团登封煤业有限公司丰阳煤矿 
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中文摘要:
      针对传统评价方法对长序列且样本分布在不同功能分区的水质评价的不足,提出MSA(Markov-SFI-AHP)水质评价模型,并结合混匀浓度法(Well mixed model calculation)在南水北调中线焦作段地下水水质评价中加以应用。首先,利用马尔科夫动态评价法(M)对干渠周边浅层地下水水质作评价,确定水质变差时段;然后,利用单因子指数法(S)和层次分析法(A)对该时段水质进行分析,确定水质变差的主控因素;最后,利用混匀浓度法(W)评价干渠周边浅层地下水对干渠水质的影响。结果显示:虽然2015—2022年浅层地下水水质整体变好,但各时段内水质变差的情况时有发生,2019年和2021年水质变差,主要污染指标为总硬度、TDS、Cl-和NO-3;水质变差的浅层地下水进入干渠后,干渠各项水质指标评价等级并未下降。MSA模型为长序列水质监测数据的评价提供了新的方法。
英文摘要:
      Regarding the shortcomings of traditional evaluation methods for water quality evaluation in long time series and samples distributed across different functional zones, the MSA(Markov SFI AHP) water quality evaluation model was proposed and applied, in conjunction with the well mixed model calculation to evaluate the groundwater quality in the Jiaozuo section of the South to North Water Diversion Middle Route. First, the Markow dynamic evaluation method(M) was used to evaluate the quality of shallow groundwater around the main canal and to identify the period of water quality deterioration. Then, the water quality during this period was analyzed by using the single factor index method(S) and the analytic hierarchy method(A) to identify the main controlling factors responsible for its deterioration. Finally, the influence of shallow groundwater around the main canal on the water quality of the main canal was evaluated by using the well mixed method(W). The results showed that although the overall quality of shallow groundwater improved from 2015 to 2022, periods of water quality deterioration still occurred intermittently. The water quality deteriorated in 2019 and 2021, with total hardness, TDS, Cl- and NO-3 identified as the primary pollution indicators. Even after the degraded shallow groundwater entered the main canal, 〖HK〗the evaluation grades for all water quality indicators in the main canal showed no decline. The MSA model provided a new approach for the evaluation of long time series water quality monitoring data.
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