The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model

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 o...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jing Wang, Lianqing Xue, Yuanhong Liu, Tao Ni, Yunbiao Wu, Mingjie Yang, Qiang Han, Qingyue Bai, Xinghan Li
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Natural and artificial oases The Tarim River Basin The Oases Integrated Analysis Model The multi-function choices The chemical environmental factors Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/19950f060dfa4a86ac374e3779930fa8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:19950f060dfa4a86ac374e3779930fa8
record_format	dspace
spelling	oai:doaj.org-article:19950f060dfa4a86ac374e3779930fa82021-12-01T04:53:01ZThe analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model1470-160X10.1016/j.ecolind.2021.107763https://doaj.org/article/19950f060dfa4a86ac374e3779930fa82021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004283https://doaj.org/toc/1470-160XUnderstanding 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.Jing WangLianqing XueYuanhong LiuTao NiYunbiao WuMingjie YangQiang HanQingyue BaiXinghan LiElsevierarticleNatural and artificial oasesThe Tarim River BasinThe Oases Integrated Analysis ModelThe multi-function choicesThe chemical environmental factorsEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107763- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Natural and artificial oases The Tarim River Basin The Oases Integrated Analysis Model The multi-function choices The chemical environmental factors Ecology QH540-549.5
spellingShingle	Natural and artificial oases The Tarim River Basin The Oases Integrated Analysis Model The multi-function choices The chemical environmental factors Ecology QH540-549.5 Jing Wang Lianqing Xue Yuanhong Liu Tao Ni Yunbiao Wu Mingjie Yang Qiang Han Qingyue Bai Xinghan Li The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
description	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.
format	article
author	Jing Wang Lianqing Xue Yuanhong Liu Tao Ni Yunbiao Wu Mingjie Yang Qiang Han Qingyue Bai Xinghan Li
author_facet	Jing Wang Lianqing Xue Yuanhong Liu Tao Ni Yunbiao Wu Mingjie Yang Qiang Han Qingyue Bai Xinghan Li
author_sort	Jing Wang
title	The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
title_short	The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
title_full	The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
title_fullStr	The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
title_full_unstemmed	The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model
title_sort	analytical indicators to explain the distribution of oases in arid zones using the oases integrated analysis model
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/19950f060dfa4a86ac374e3779930fa8
work_keys_str_mv	AT jingwang theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT lianqingxue theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT yuanhongliu theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT taoni theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT yunbiaowu theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT mingjieyang theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT qianghan theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT qingyuebai theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT xinghanli theanalyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT jingwang analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT lianqingxue analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT yuanhongliu analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT taoni analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT yunbiaowu analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT mingjieyang analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT qianghan analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT qingyuebai analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel AT xinghanli analyticalindicatorstoexplainthedistributionofoasesinaridzonesusingtheoasesintegratedanalysismodel
_version_	1718405711082291200

The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model

Ejemplares similares