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Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017

Estimating water requirements and water balance for irrigated agricultural areas are important and will facilitate the efficient allocation of water resources for agriculture while minimizing the impact on natural ecosystems in arid regions. Based on the Penman-Monteith formula and GIS technology, t...

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Autores principales: Li, Yinbo, Wang, Hongwei, Chen, Yun, Deng, Mingjiang, Li, Qian, Wufu, Adiliai, Wang, Dan, Ma, Ligang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944122/
https://www.ncbi.nlm.nih.gov/pubmed/31915574
http://dx.doi.org/10.7717/peerj.8243
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author Li, Yinbo
Wang, Hongwei
Chen, Yun
Deng, Mingjiang
Li, Qian
Wufu, Adiliai
Wang, Dan
Ma, Ligang
author_facet Li, Yinbo
Wang, Hongwei
Chen, Yun
Deng, Mingjiang
Li, Qian
Wufu, Adiliai
Wang, Dan
Ma, Ligang
author_sort Li, Yinbo
collection PubMed
description Estimating water requirements and water balance for irrigated agricultural areas are important and will facilitate the efficient allocation of water resources for agriculture while minimizing the impact on natural ecosystems in arid regions. Based on the Penman-Monteith formula and GIS technology, the irrigation water requirements (IWR) of three main crops (cotton, corn and wheat) during the growing season were estimated and their spatio-temporal changes over the past 23 years (1995–2017) were analyzed in Xinjiang province, China. Our results indicated a dramatic increase in IWR from 14.12 billion m(3) in 1995 to 38.99 billion m(3) in 2017 due to the rapid cropland expansion of approximately 2.58 × 10(4) km(2) in this period. Monthly IWR usually peaked in summer from May to July and varied in different basins. From the perspective of crops, cotton was identified to have consumed the largest amount of water, reaching 26.39 billion m(3) in 2017, accounting for 67.68% of total water consumption. Spatially, the fastest increasing rate of IWR was Tarim Basin, which was attributable to the increase in water requirement of cotton. By comparing IWR and actual irrigation of Xinjiang in 2014, the amount of water scarcity had reached −15.01 billion m(3) (−9.80 billion m(3) in Tarim Basin and −6.58 billion m(3) in Junggar Basin). The planting areas of three main crops (wheat, corn and cotton) were more sensitive to IWR than rising temperature indicated by our model. This study is of great significance for the scientific allocation of water resources in the irrigated areas of the different prefectures of Xinjiang.
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spelling pubmed-69441222020-01-08 Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017 Li, Yinbo Wang, Hongwei Chen, Yun Deng, Mingjiang Li, Qian Wufu, Adiliai Wang, Dan Ma, Ligang PeerJ Natural Resource Management Estimating water requirements and water balance for irrigated agricultural areas are important and will facilitate the efficient allocation of water resources for agriculture while minimizing the impact on natural ecosystems in arid regions. Based on the Penman-Monteith formula and GIS technology, the irrigation water requirements (IWR) of three main crops (cotton, corn and wheat) during the growing season were estimated and their spatio-temporal changes over the past 23 years (1995–2017) were analyzed in Xinjiang province, China. Our results indicated a dramatic increase in IWR from 14.12 billion m(3) in 1995 to 38.99 billion m(3) in 2017 due to the rapid cropland expansion of approximately 2.58 × 10(4) km(2) in this period. Monthly IWR usually peaked in summer from May to July and varied in different basins. From the perspective of crops, cotton was identified to have consumed the largest amount of water, reaching 26.39 billion m(3) in 2017, accounting for 67.68% of total water consumption. Spatially, the fastest increasing rate of IWR was Tarim Basin, which was attributable to the increase in water requirement of cotton. By comparing IWR and actual irrigation of Xinjiang in 2014, the amount of water scarcity had reached −15.01 billion m(3) (−9.80 billion m(3) in Tarim Basin and −6.58 billion m(3) in Junggar Basin). The planting areas of three main crops (wheat, corn and cotton) were more sensitive to IWR than rising temperature indicated by our model. This study is of great significance for the scientific allocation of water resources in the irrigated areas of the different prefectures of Xinjiang. PeerJ Inc. 2020-01-03 /pmc/articles/PMC6944122/ /pubmed/31915574 http://dx.doi.org/10.7717/peerj.8243 Text en ©2020 Li et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Natural Resource Management
Li, Yinbo
Wang, Hongwei
Chen, Yun
Deng, Mingjiang
Li, Qian
Wufu, Adiliai
Wang, Dan
Ma, Ligang
Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017
title Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017
title_full Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017
title_fullStr Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017
title_full_unstemmed Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017
title_short Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017
title_sort estimation of regional irrigation water requirements and water balance in xinjiang, china during 1995–2017
topic Natural Resource Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944122/
https://www.ncbi.nlm.nih.gov/pubmed/31915574
http://dx.doi.org/10.7717/peerj.8243
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