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Quantitative detection and attribution of groundwater level variations in the Amu Darya Delta

  • In the past few decades, the shrinkage of the Aral Sea is one of the biggest ecological catastrophes caused by human activity. To quantify the joint impact of both human activities and climate change on groundwater, the spatiotemporal groundwater dynamic characteristics in the Amu Darya Delta of the Aral Sea from 1999 to 2017 were analyzed, using the groundwater level, climate conditions, remote sensing data, and irrigation information. Statistics analysis was adopted to analyze the trend of groundwater variation, including intensity, periodicity, spatial structure, while the Pearson correlation analysis and principal component analysis (PCA) were used to quantify the impact of climate change and human activities on the variabilities of the groundwater level. Results reveal that the local groundwater dynamic has varied considerably. From 1999 to 2002, the groundwater level dropped from -189 cm to -350 cm. Until 2017, the groundwater level rose back to -211 cm with fluctuation. Seasonally, the fluctuation period of groundwater levelIn the past few decades, the shrinkage of the Aral Sea is one of the biggest ecological catastrophes caused by human activity. To quantify the joint impact of both human activities and climate change on groundwater, the spatiotemporal groundwater dynamic characteristics in the Amu Darya Delta of the Aral Sea from 1999 to 2017 were analyzed, using the groundwater level, climate conditions, remote sensing data, and irrigation information. Statistics analysis was adopted to analyze the trend of groundwater variation, including intensity, periodicity, spatial structure, while the Pearson correlation analysis and principal component analysis (PCA) were used to quantify the impact of climate change and human activities on the variabilities of the groundwater level. Results reveal that the local groundwater dynamic has varied considerably. From 1999 to 2002, the groundwater level dropped from -189 cm to -350 cm. Until 2017, the groundwater level rose back to -211 cm with fluctuation. Seasonally, the fluctuation period of groundwater level and irrigation water was similar, both were about 18 months. Spatially, the groundwater level kept stable within the irrigation area and bare land but fluctuated drastically around the irrigation area. The Pearson correlation analysis reveals that the dynamic of the groundwater level is closely related to irrigation activity within the irrigation area (Nukus: -0.583), while for the place adjacent to the Aral Sea, the groundwater level is closely related to the Large Aral Sea water level (Muynak: 0.355). The results of PCA showed that the cumulative contribution rate of the first three components exceeds 85%. The study reveals that human activities have a great impact on groundwater, effective management, and the development of water resources in arid areas is an essential prerequisite for ecological protection.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Xiaohui Pan, Weishi WangORCiDGND, Tie LiuORCiD, Yue Huang, Philippe De Maeyer, Chenyu Guo, Yunan Ling, Shamshodbek AkmalovORCiD
DOI:https://doi.org/10.3390/w12102869
ISSN:2073-4441
Titel des übergeordneten Werks (Englisch):Water
Verlag:MDPI
Verlagsort:Basel
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:15.10.2020
Erscheinungsjahr:2020
Datum der Freischaltung:05.10.2022
Freies Schlagwort / Tag:Amu Darya Delta; climate change; groundwater level variation; human activities; statistical analysis
Band:12
Ausgabe:10
Aufsatznummer:2869
Seitenanzahl:20
Fördernde Institution:Strategic Priority Research Program of the Chinese Academy of; SciencesChinese Academy of Sciences; Pan-Third Pole Environment Study; for a Green Silk Road [XDA20060303]; State's Key Project of Research and; Development Plan [2017YFC0404501]; National Natural Science Foundation; of ChinaNational Natural Science Foundation of China (NSFC); [41761144079]; International Partnership Program of the Chinese Academy; of Sciences [131551KYS B20160002]; CAS Interdisplinary Innovation Team; [JCTD-2019-20]; CAS Research Center for Ecology and Environment of; Central Asia [Y934031]; Regional Collaborative Innovation Project of; Xinjiang Uygur Autonomous Regions [2020E01010]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer Review:Referiert
Publikationsweg:Open Access / Gold Open-Access
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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