首页|A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models

A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models

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  • NETL
  • NSTL
  • Elsevier
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant impact on efficientwater resource planning and long-term management. The Penman-Monteith (PM) equation method, developedby the Food and Agriculture Organization of the United Nations (FAO), represents an advancement over earlierapproaches for estimating ETo. Eto though reliable, faces limitations due to the requirement for climatologicaldata not always available at specific locations. To address this, researchers have explored soft computing (SC)models as alternatives to conventional methods, known for their exceptional accuracy across disciplines. Thiscritical review aims to enhance understanding of cutting-edge SC frameworks for ETo estimation, highlightingadvancements in evolutionary models, hybrid and ensemble approaches, and optimization strategies. Recentapplications of SC in various climatic zones in Bangladesh are evaluated, with the order of preference beingANFIS > Bi-LSTM > RT > DENFIS > SVR-PSOGWO > PSO–HFS due to their consistently high accuracy (RMSEand R~2). This review introduces a benchmark for incorporating evolutionary computation algorithms (EC) intoETo modeling. Each subsection addresses the strengths and weaknesses of known SC models, offering valuableinsights. The review serves as a valuable resource for experienced water resource engineers and hydrologists,both domestically and internationally, providing comprehensive SC modeling studies for ETo forecasting.Furthermore, it provides an improved water resources monitoring and management plans.

Evapotranspiration predictionMachine learning modelsANSIFClimate variabilityBangladesh

Md Mahfuz Alam、Mst. Yeasmin Akter、Abu Reza Md Towfiqul Islam、Javed Mallick、Zobaidul Kabir、Ronghao Chu、Alireza Arabameri、Subodh Chandra Pal、Abdullah Al Masud、Romulus Costache、Venkatramanan Senapathi

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Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh

Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh,Department of Development Studies, Daffodil International University, Dhaka, 1216, Bangladesh

Department of Civil Engineering, King Khalid University, Abha, 62529, Saudi Arabia

University of Newcastle, School of Environmental and Life Sciences, Newcastle, 2258, Australia

China Meteorological Administration⋅Henan Key Laboratory of Agrometeorological Support and Applied Technique, Zhengzhou, 450003, China,Henan Institute of Meteorological Sciences, Henan Meteorological Bureau, Zhengzhou, 450003, China

Department of Geomorphology, Tarbiat Modares University, Tehran, 14115-111, Iran

Department of Geography, The University of Burdwan, Bardhaman, West Bengal, 713104, India

School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea

Department of Civil Engineering, Transilvania University of Brasov, 5, Turnului Str, 500152, Brasov, Romania,Danube Delta National Institute for Research and Development, 165 Babadag Street, 820112, Tulcea, Romania,National Institute of Hydrology and Water Management, București-Ploiești Road, 97E, 1st District, 013686, Bucharest, Romania,Research Institute of the University of Bucharest, 36-46 Bd. M. Kogalniceanu, 5th District, 050107, Bucharest, Romania

Department of Geology, Alagappa University, Karaikudi, Tamilnadu, India

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2024

10.1016/j.jenvman.2023.119714

Journal of environmental management

Journal of environmental management

EISCI
ISSN：0301-4797
年,卷(期)：2024.351(Feb.1)
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