The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
文献类型： 外文期刊
第一作者： Wang, Jing
作者： Wang, Jing;Xue, Lianqing;Liu, Yuanhong;Ni, Tao;Wu, Yunbiao;Yang, Mingjie;Han, Qiang;Bai, Qingyue;Li, Xinghan
作者机构：
关键词： Natural and artificial oases; The Tarim River Basin; The Oases Integrated Analysis Model; The multi-function choices; The chemical environmental factors
期刊名称：ECOLOGICAL INDICATORS （ 影响因子：4.958； 五年影响因子：5.846 ）
ISSN： 1470-160X
年卷期： 2021 年 127 卷
页码：
收录情况： SCI
摘要： Understanding the distribution of natural and artificial oases is essential for effective management of desert oases and water resources in arid regions. In order to explore characterization of Oases, we developed an ensemble method for the identification of factors influencing the distribution of oases in the upper reaches of the Tarim River Basin (TRB), China. To determine the affected elements of artificial and natural oases in arid lands through multi-function choices from 1990 to 2020, the Oases Integrated Analysis Model (OIAM) was used. The following input data was included in the OIAM: meteorological conditions, salinity, depth of groundwater, time sequence of Landsat images, and environmental chemicals such as calcium, bicarbonate, potassium, sodium, sulfate, and fluoride ions. Several functional methods were used to assess the efficiency of the OIAM. The results indicated that the OIAM consistently outperformed stable Wi (spatial contribution rate to Oases' indicators). Moreover, the results from OIAM indicated that salinity and meteorological indicators influenced the spatial distribution of artificial and natural oases. For environmental chemical, Na and Mg ions were strongly associated with the distribution of artificial and natural oases, respectively. This indicates that the OIAM model effectively identifies factors influencing the distribution of artificial and natural oases in arid regions, and thus can be applied to other similar regions.
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