典型文献
Modeling groundwater nitrate concentrations using spatial and non-spatial regression models in a semi-arid environment
文献摘要：
Nitrate nitrogen(NO3-N)from agricultural activities and in industrial wastewater has become the main source of groundwater pollution,which has raised widespread concerns,particularly in arid and semi-arid river basins with little water that meets relevant standards.This study aimed to investigate the performance of spatial and non-spatial regression models in modeling nitrate pollution in a semi-intensive farming region of Iran.To perform the modeling of the groundwater's NO3-N concentration,both natural and anthropogenic factors affecting groundwater NO3-N were selected.The results of Moran's I test showed that groundwater nitrate concentration had a significant spatial dependence on the density of wells,distance from streams,total annual precipitation,and distance from roads in the study area.This study provided a way to estimate nitrate pollution using both natural and anthropogenic factors in arid and semi-arid areas where only a few factors are available.Spatial regression methods with spatial correlation structures are effective tools to support spatial decision-making in water pollution control.
文献关键词：
中图分类号：
作者姓名：
Azadeh Atabati;Hamed Adab;Ghasem Zolfaghari;Mahdi Nasrabadi
作者机构：
Department of Environmental Sciences and Engineering,Faculty of Geography and Environmental Sciences,Hakim Sabzevari University,Sabzevar Khorasan Razavi 9617976487,Iran;b Department of Remote Sensing and Geographic Information System,Faculty of Geography and Environmental Sciences,Hakim Sabzevari University,Sabzevar,Khorasan Razavi 9617976487,Iran
文献出处：
引用格式：
[1]Azadeh Atabati;Hamed Adab;Ghasem Zolfaghari;Mahdi Nasrabadi-.Modeling groundwater nitrate concentrations using spatial and non-spatial regression models in a semi-arid environment)[J].水科学与水工程,2022(03):218-227
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B类：
Modeling,groundwater,nitrate,concentrations,using,spatial,regression,models,semi,arid,environment,Nitrate,nitrogen,NO3,from,agricultural,activities,industrial,wastewater,has,become,main,source,pollution,which,raised,widespread,concerns,particularly,river,basins,little,that,meets,relevant,standards,This,study,aimed,investigate,performance,modeling,intensive,farming,region,Iran,To,both,natural,anthropogenic,factors,affecting,were,selected,results,Moran,test,showed,had,significant,dependence,density,wells,distance,streams,total,annual,precipitation,roads,provided,way,estimate,areas,where,only,few,available,Spatial,methods,correlation,structures,effective,tools,support,decision,making,control
AB值：
0.561247
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