Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/su142013554 |
Crop Water Requirements with Changing Climate in an Arid Region of Saudi Arabia | |
Haq, Mohd Anul; Khan, Mohd Yawar Ali | |
通讯作者 | Haq, MA |
来源期刊 | SUSTAINABILITY
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EISSN | 2071-1050 |
出版年 | 2022 |
卷号 | 14期号:20 |
英文摘要 | Agriculture is critical for a country's population growth and economic expansion. In Saudi Arabia (SA), agriculture relies on groundwater, seasonal water, desalinated water, and recycled water due to a lack of surface water resources, a dry environment, and scanty rainfall. Estimating water consumption to plan crop water requirements (CWR) in changing environments is difficult due to a lack of micro-level data on water consumption, particularly in agricultural systems. High-resolution satellite data combined with environmental data provides a valuable tool for computing the CWR. This study aimed to estimate the CWR with a greater spatial and temporal resolution and localized field data and environmental variables. Obtaining this at the field level is appropriate, but geospatial technology can produce repeatable, time-series phenomena and align with environmental data for wider coverage regions. The CWR in the study area has been investigated through two methods: firstly, based on the high-resolution PlanetScope (PS) data, and secondly, using the FAO CROPWAT model v8.0. The analysis revealed that evapotranspiration (ETo) showed a minimum response of 2.22 mm/day in January to a maximum of 6.13 mm/day in July, with high temperatures (42.8). The humidity reaches a peak of 51%, falling to a minimum in June of 15%. Annual CWR values (in mm) for seven crops studied in the present investigation, including date palm, wheat, citrus, maize, barley, clover, and vegetables, were 1377, 296, 964, 275, 259, 1077, 214, respectively. The monthly averaged CWR derived using PS showed a higher correlation (r = 0.83) with CROPWAT model results. The study was promising and highlighted that such analysis is decisive and can be implemented in any region by using Machine Learning and Deep Learning for in-depth insights. |
英文关键词 | agriculture Saudi Arabia CWR evapotranspiration |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000875196500001 |
WOS关键词 | IRRIGATION |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/394665 |
推荐引用方式 GB/T 7714 | Haq, Mohd Anul,Khan, Mohd Yawar Ali. Crop Water Requirements with Changing Climate in an Arid Region of Saudi Arabia[J],2022,14(20). |
APA | Haq, Mohd Anul,&Khan, Mohd Yawar Ali.(2022).Crop Water Requirements with Changing Climate in an Arid Region of Saudi Arabia.SUSTAINABILITY,14(20). |
MLA | Haq, Mohd Anul,et al."Crop Water Requirements with Changing Climate in an Arid Region of Saudi Arabia".SUSTAINABILITY 14.20(2022). |
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