Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0301-4797 |
EISSN | 1095-8630 |
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 |
推荐引用方式 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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