干旱区生态环境知识资源中心(Arid): Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression

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DOI	10.2166/ws.2024.028
	Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression
	Mortezazadeh, Fezollah; Pourmohammadi, Mohammad Hossein; Khoshnavaz, Saeb; Nohani, Ebrahim; Eslami, Hossein
通讯作者	Pourmohammadi, MH
来源期刊	WATER SUPPLY
ISSN	1606-9749
EISSN	1607-0798
出版年	2024
卷号	24 期号:3 页码:665-672
英文摘要	Agricultural water resources carrying capacity has been considered an important problem in recent decades. A comparison of the evaluation indicators of water resources indicated the variation levels of the stability. Machine Learning-Support Vector Regression (ML-SVR) was implemented to formulate the agricultural footprints. The obtained statuses of the water resources have always been characterized by agricultural deficit in the Hendijan plain, Khuzestan province, Iran. Experiments performed outperformed the classical model on both fitted values and the validation value. The results showed that the agricultural footprints from 2010 to 2020 in Iran kept steady with higher levels, while from 2014 to 2016 witnessed a significant decline compared with previous years. The predicted agricultural footprint for the recent 10 years continues to decrease in the semi-arid regions. The predicted results via SVR showed that agricultural footprints from 2017 to 2020 will present a rising trend, meaning the situation of water crisis will be increasingly serious in the eastern parts of the central deserts.
英文关键词	ecosystem sustainability Hendijan plain Khuzestan province machine learning
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001172154900001
WOS类目	Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405940
推荐引用方式 GB/T 7714	Mortezazadeh, Fezollah,Pourmohammadi, Mohammad Hossein,Khoshnavaz, Saeb,et al. Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression[J],2024,24(3):665-672.
APA	Mortezazadeh, Fezollah,Pourmohammadi, Mohammad Hossein,Khoshnavaz, Saeb,Nohani, Ebrahim,&Eslami, Hossein.(2024).Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression.WATER SUPPLY,24(3),665-672.
MLA	Mortezazadeh, Fezollah,et al."Water resources carrying capacity to achieve a sustainable ecosystem using support vector regression".WATER SUPPLY 24.3(2024):665-672.