Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions
The importance of evaporation estimation in water resources and agricultural studies is undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of lakes and reservoirs around the world due to the ease of interpreting its data. The purpose of this study is to evaluate...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2023-03-01
|
| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | https://www.jsoftcivil.com/article_168924_e72329148fe08c78d8b5c0b703ea3227.pdf |
| _version_ | 1827919102735286272 |
|---|---|
| author | Amirhossein Samii Hojat Karami Hamidreza Ghazvinian Amirsaeed Safari Yashar Dadrasajirlou |
| author_facet | Amirhossein Samii Hojat Karami Hamidreza Ghazvinian Amirsaeed Safari Yashar Dadrasajirlou |
| author_sort | Amirhossein Samii |
| collection | DOAJ |
| description | The importance of evaporation estimation in water resources and agricultural studies is undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of lakes and reservoirs around the world due to the ease of interpreting its data. The purpose of this study is to evaluate the efficiency of the Long- Short Term Memory (LSTM) model to estimate evaporation from a pan and compare it with the Multilayer Perceptron (MLP) model in Semnan and Garmsar. For this purpose, daily meteorological data recorded between 2000 and 2018 (19 consecutive years) in Semnan and Garmsar synoptic stations were used. Minimum and maximum air temperature (Tmax, Tmin), wind speed (WS), sunshine hours (SH), air pressure (PA), relative humidity (RH) were selected as input data and evaporation data from the pan (EP) was considered as the output of the case. Also, in modeling both networks in the input section, 4 different scenarios were used. The two studied models were evaluated by the evaluation criteria of coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE). The results showed that among the studied scenarios, the fourth scenario (considering all input parameters) had the highest R2 and the lowest RMSE and MAE. In general, the two models performed well in predicting the rate of evaporation. Also, in both stations, the LSTM model had more R2 and less RMSE and MAE than the MLP model. The values of R2, RMSE and MAE for the best DEEP-LSTM model (LSTM4) for Semnan city were 0.9451, 1.8345 and 0.5437 and for Garmsar city 0.9204, 1.8323 and 1.3531 respectively. |
| first_indexed | 2024-03-13T03:53:04Z |
| format | Article |
| id | doaj.art-9dfe9e7de4854451bec0bd794edbc20e |
| institution | Directory Open Access Journal |
| issn | 2588-2872 |
| language | English |
| last_indexed | 2024-03-13T03:53:04Z |
| publishDate | 2023-03-01 |
| publisher | Pouyan Press |
| record_format | Article |
| series | Journal of Soft Computing in Civil Engineering |
| spelling | doaj.art-9dfe9e7de4854451bec0bd794edbc20e2023-06-22T09:24:25ZengPouyan PressJournal of Soft Computing in Civil Engineering2588-28722023-03-017215517510.22115/scce.2023.367948.1550168924Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid RegionsAmirhossein Samii0Hojat Karami1Hamidreza Ghazvinian2Amirsaeed Safari3Yashar Dadrasajirlou4Advanced Robotics and Automated Systems (ARAS), Faculty of Electrical Engineering. K. N. Toosi University of Technology, Tehran, IranDepartment of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, IranDepartment of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, IranPh.D. Student, Department of Mechanical Engineering, University of Kentucky, Lexington, KY, United StatesDepartment of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, IranThe importance of evaporation estimation in water resources and agricultural studies is undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of lakes and reservoirs around the world due to the ease of interpreting its data. The purpose of this study is to evaluate the efficiency of the Long- Short Term Memory (LSTM) model to estimate evaporation from a pan and compare it with the Multilayer Perceptron (MLP) model in Semnan and Garmsar. For this purpose, daily meteorological data recorded between 2000 and 2018 (19 consecutive years) in Semnan and Garmsar synoptic stations were used. Minimum and maximum air temperature (Tmax, Tmin), wind speed (WS), sunshine hours (SH), air pressure (PA), relative humidity (RH) were selected as input data and evaporation data from the pan (EP) was considered as the output of the case. Also, in modeling both networks in the input section, 4 different scenarios were used. The two studied models were evaluated by the evaluation criteria of coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE). The results showed that among the studied scenarios, the fourth scenario (considering all input parameters) had the highest R2 and the lowest RMSE and MAE. In general, the two models performed well in predicting the rate of evaporation. Also, in both stations, the LSTM model had more R2 and less RMSE and MAE than the MLP model. The values of R2, RMSE and MAE for the best DEEP-LSTM model (LSTM4) for Semnan city were 0.9451, 1.8345 and 0.5437 and for Garmsar city 0.9204, 1.8323 and 1.3531 respectively.https://www.jsoftcivil.com/article_168924_e72329148fe08c78d8b5c0b703ea3227.pdfevaporation pandeep-lstmmlpmeteorological datasemnangarmsar |
| spellingShingle | Amirhossein Samii Hojat Karami Hamidreza Ghazvinian Amirsaeed Safari Yashar Dadrasajirlou Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions Journal of Soft Computing in Civil Engineering evaporation pan deep-lstm mlp meteorological data semnan garmsar |
| title | Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions |
| title_full | Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions |
| title_fullStr | Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions |
| title_full_unstemmed | Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions |
| title_short | Comparison of DEEP-LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions |
| title_sort | comparison of deep lstm and mlp models in estimation of evaporation pan for arid regions |
| topic | evaporation pan deep-lstm mlp meteorological data semnan garmsar |
| url | https://www.jsoftcivil.com/article_168924_e72329148fe08c78d8b5c0b703ea3227.pdf |
| work_keys_str_mv | AT amirhosseinsamii comparisonofdeeplstmandmlpmodelsinestimationofevaporationpanforaridregions AT hojatkarami comparisonofdeeplstmandmlpmodelsinestimationofevaporationpanforaridregions AT hamidrezaghazvinian comparisonofdeeplstmandmlpmodelsinestimationofevaporationpanforaridregions AT amirsaeedsafari comparisonofdeeplstmandmlpmodelsinestimationofevaporationpanforaridregions AT yashardadrasajirlou comparisonofdeeplstmandmlpmodelsinestimationofevaporationpanforaridregions |