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Modeling monthly pa...
Modeling monthly pan evaporation process over the Indian central Himalayas : application of multiple learning artificial intelligence model
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- Malik, Anurag (author)
- Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
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- Kumar, Anil (author)
- Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
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- Kim, Sungwon (author)
- Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju, Republic of Korea
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- Kashani, Mahsa H. (author)
- Department of Water Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran
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- Karim, Vahid (author)
- Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
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- Sharafati, Ahmad (author)
- Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
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- Ghorban, Mohammad Ali (author)
- Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
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- Al-Ansari, Nadhir, 1947- (author)
- Luleå tekniska universitet,Geoteknologi
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- Salih, Sinan Q. (author)
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
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- Yaseen, Zaher Mundher (author)
- Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
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- Chau, Kwok-Wing (author)
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China
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Department of Soil and Water Conservation Engineering, College of Technology, GB. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju, Republic of Korea (creator_code:org_t)
- 2020-01-27
- 2020
- English.
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In: Engineering Applications of Computational Fluid Mechanics. - UK : Taylor & Francis. - 1994-2060 .- 1997-003X. ; 14:1, s. 323-338
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Abstract
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- The potential of several predictive models including multiple model-artificial neural network (MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM), multi-gene genetic programming (MGGP), and ‘M5Tree’ were assessed to simulate the pan evaporation in monthly scale (EPm) at two stations (e.g. Ranichauri and Pantnagar) in India. Monthly climatological information were used for simulating the pan evaporation. The utmost effective input-variables for the MM-ANN, MGGP, MARS, SVM, and M5Tree were determined using the Gamma test (GT). The predictive models were compared to each other using several statistical criteria (e.g. mean absolute percentage error (MAPE), Willmott's Index of agreement (WI), root mean squared error (RMSE), Nash-Sutcliffe efficiency (NSE), and Legate and McCabe’s Index (LM)) and visual inspection. The results showed that the MM-ANN-1 and MGGP-1 models (NSE, WI, LM, RMSE, MAPE are 0.954, 0.988, 0.801, 0.536 mm/month, 9.988% at Pantnagar station, and 0.911, 0.975, 0.724, and 0.364 mm/month, 12.297% at Ranichauri station, respectively) with input variables equal to six were more successful than the other techniques during testing period to simulate the monthly pan evaporation at both Ranichauri and Pantnagar stations. Thus, the results of proposed MM-ANN-1 and MGGP-1 models will help to the local stakeholders in terms of water resources management.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Geotechnical Engineering (hsv//eng)
Keyword
- Pan evaporation
- multiple model strategy
- gamma test
- Indian central Himalayas
- meteorological variables
- Soil Mechanics
- Geoteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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Malik, Anurag
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Kumar, Anil
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Kim, Sungwon
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Kashani, Mahsa H ...
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Karim, Vahid
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Sharafati, Ahmad
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Ghorban, Mohamma ...
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Al-Ansari, Nadhi ...
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Salih, Sinan Q.
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Yaseen, Zaher Mu ...
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Chau, Kwok-Wing
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Luleå University of Technology