Arid
DOI10.1016/j.jenvman.2024.120450
Lake evaporation in arid zones: Leveraging Landsat 8's water temperature retrieval and key meteorological drivers
Maleki, Saeid; Mohajeri, Seyed Hossein; Mehraein, Mojtaba; Sharafati, Ahmad
通讯作者Mohajeri, SH
来源期刊JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN0301-4797
EISSN1095-8630
出版年2024
卷号355
英文摘要This study assessed the accuracy of various methods for estimating lake evaporation in arid, high-wind environments, leveraging water temperature data from Landsat 8. The evaluation involved four estimation techniques: the FAO 56 radiation-based equation, the Schendel temperature-based equation, the Brockamp & Wenner mass transfer-based equation, and the VUV regression-based equation. The study focused on the Chah Nimeh Reservoirs (CNRs) in the arid region of Iran due to its distinctive wind patterns and dry climate. Our analysis revealed that the Split-window algorithm was the most precise for satellite-based water surface temperature measurement, with an R-2 value of 0.86 and an RMSE of 1.61 degrees C. Among evaporation estimation methods, the FAO 56 stood out, demonstrating an R-2 value of 0.76 and an RMSE of 4.36 mm/day in comparison to pan evaporation measurements. A subsequent sensitivity analysis using an artificial neural network (ANN) identified net radiation as the predominant factor influencing lake evaporation, especially during both wind and no-wind conditions. This research underscores the importance of incorporating net radiation, water surface temperature, and wind speed parameters in evaporation evaluations, providing pivotal insights for effective water management in arid, windy regions.
英文关键词Lake evaporation Arid region Landsat 8 Chah nimeh reservoirs Intense wind Artificial neural network (ANN)
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:001204401300001
WOS关键词SPLIT-WINDOW ALGORITHM ; SURFACE TEMPERATURE ; NEURAL-NETWORKS ; CHAH NIMEH ; MODELS ; RESERVOIR ; CALIBRATION ; MANAGEMENT ; SEDIMENTS ; IMAGES
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/404461
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GB/T 7714
Maleki, Saeid,Mohajeri, Seyed Hossein,Mehraein, Mojtaba,et al. Lake evaporation in arid zones: Leveraging Landsat 8's water temperature retrieval and key meteorological drivers[J],2024,355.
APA Maleki, Saeid,Mohajeri, Seyed Hossein,Mehraein, Mojtaba,&Sharafati, Ahmad.(2024).Lake evaporation in arid zones: Leveraging Landsat 8's water temperature retrieval and key meteorological drivers.JOURNAL OF ENVIRONMENTAL MANAGEMENT,355.
MLA Maleki, Saeid,et al."Lake evaporation in arid zones: Leveraging Landsat 8's water temperature retrieval and key meteorological drivers".JOURNAL OF ENVIRONMENTAL MANAGEMENT 355(2024).
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