Assessing the land use type and environment factors affecting groundwater nitrogen in an arid oasis in northwestern China

被引:0
作者
Lisha Wang
Zhibin He
Jing Li
机构
[1] Chinese Academy of Sciences,Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Key Laboratory of Eco
[2] University of Chinese Academy of Sciences,hydrology of Inland River Basin, Northwest Institute of Eco
来源
Environmental Science and Pollution Research | 2020年 / 27卷
关键词
Environmental factors; Nitrogen pollution; Redundancy analysis; Temporal–spatial variations; Zhangye Oasis;
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学科分类号
摘要
Identifying the magnitude and seasonal variability of groundwater nitrogen (N) under various land use types and quantifying the contribution of their environmental factors are of great importance when attempting to implement prioritizing effective strategies for mitigating groundwater N pollution. In this study, hydrochemical investigation was used to assess the magnitude and temporal variability of groundwater N in arid regions. Spatial distributions of N species (total N (TN), nitrate-N (NO3––N), ammonium-N (NH4+–N), and nitrous-N (NO2––N)) were mapped using geostatistical techniques. Redundancy analysis (RDA) was conducted to determine environmental factors controlling hydrochemistry. The results showed that residential areas (town and village) and cropland had higher groundwater N concentrations than natural (forest and grassland) and unused land. And the concentrations of N species in rain season (August) were greater than those in the dry season (March) and normal season (November). The N species spatial patterns showed that there is a risk of TN and NO3––N pollution in groundwater of town and surrounding developed cropland, and that NH4+–N and NO2––N pollution were negligible. Selected environmental factors explained a total of 77.4% of data variance in N concentrations. These factors indicated that water environmental factors (dissolved oxygen (DO), oxidation–reduction potential (ORP), water temperature (WT), and pH) affect groundwater concentrations and forms of N by influencing the process of nitrification and denitrification, which explained about 60% of the variance of the data. Approximately 10.8 and 8.3% of the variability was explained by shallow groundwater depth and soil texture, indicating that N concentrations in groundwater had heterogeneous influence. The high N excessive pollution ratio was observed in towns and cropland indicating that artificial N input is the main reason for groundwater N pollution in the study area. Hence, ameliorating anthropogenic agricultural practices and reducing N input in urban areas are critical to alleviating groundwater N pollution in the research area.
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页码:40061 / 40074
页数:13
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