Browsing by Author "Chu, Ronghao"

Now showing 1 - 3 of 3

A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
(Scopus, 2024) Alam, Md Mahfuz; Akter, Mst. Yeasmin; Reza, Abu; Islam, Md Towfiqul; Mallick, Javed; Kabir, Zobaidul; Chu, Ronghao; Arabameri, Alireza; Pal, Subodh Chandra; Masud, Md Abdullah Al; Costache, Romulus; Senapathi, Venkatramanan
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant impact on efficient water resource planning and long-term management. The Penman-Monteith (PM) equation method, developed by the Food and Agriculture Organization of the United Nations (FAO), represents an advancement over earlier approaches for estimating ETo. Eto though reliable, faces limitations due to the requirement for climatological data 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. This critical review aims to enhance understanding of cutting-edge SC frameworks for ETo estimation, highlighting advancements in evolutionary models, hybrid and ensemble approaches, and optimization strategies. Recent applications of SC in various climatic zones in Bangladesh are evaluated, with the order of preference being ANFIS > Bi-LSTM > RT > DENFIS > SVR-PSOGWO > PSO–HFS due to their consistently high accuracy (RMSE and ). This review introduces a benchmark for incorporating evolutionary computation algorithms (EC) into ETo modeling. Each subsection addresses the strengths and weaknesses of known SC models, offering valuable insights. 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.
Comparative Trend Variability Analysis of Reference Evapotranspiration in Bangladesh Using Multiple Trend Detection Approaches
(Scopus, 2024-06-10) Dia, Radia Biswas; Mallick, Javed; Aziz, Tarak; Fattah, Md Abdul; Ullah, Sami; Salam, Mohammed Abdus; Talukdar, Swapan; Chu, Ronghao; Islam, Abu Reza Md Towfiqul
The identification of trends in reference evapotranspiration (ETo) has an impact on regional and seasonal water resources, contributing to hydrological studies and effective water resource management. To that end, this study is intended to analyze the annual ETo variability and trend from eighteen meteorological stations in Bangladesh from 1975 to 2017 using the Mann-Kendall (MK) test, the Modified Mann-Kendall (MMK) test, the trend-free pre-whitening Mann-Kendall (TFPW MK) test, and the Innovative Trend Analysis (ITA). A comparative investigation of those trend detection methods was carried out using the Pearson and Spearman correlation coefficient matrices. The detrended fluctuation model (DFM) was also used to examine the future sustainability of the ETo trend. The MK and MMK test results show that fifteen and sixteen stations reported a negative trend, and of them, thirteen stations had significant negative trends (p < 0.01). The TFPW-MK test findings also reveal that thirteen stations had a significant negative trend (p < 0.01), while ITA identified seventeen stations as having significant negative trends (p < 0.01). Based on this study’s test results and performance, the MK test appeared to be the best-performing method within the MK test family because it outperformed the others (p < 0.01). DFM results depicted improved future ETo trends at seventeen locations, of which fourteen were significant. This study will be beneficial to climate-induced risks and provide a scientific base for rational guidelines for agricultural production in Bangladesh.
Comparative Trend Variability Analysis of Reference Evapotranspiration in Bangladesh Using Multiple Trend Detection Approaches
(Springer Nature, 2024-06-10) Dia, Radia Biswas; Mallick, Javed; Aziz, Tarak; Fattah, Md Abdul; Ullah, Sami; Salam, Mohammed Abdus; Talukdar, Swapan; Chu, Ronghao; Islam, Abu Reza Md Towfiqul
The identification of trends in reference evapotranspiration (ETo) has an impact on regional and seasonal water resources, contributing to hydrological studies and effective water resource management. To that end, this study is intended to analyze the annual ETo variability and trend from eighteen meteorological stations in Bangladesh from 1975 to 2017 using the Mann-Kendall (MK) test, the Modified Mann-Kendall (MMK) test, the trend-free pre-whitening Mann-Kendall (TFPW MK) test, and the Innovative Trend Analysis (ITA). A comparative investigation of those trend detection methods was carried out using the Pearson and Spearman correlation coefficient matrices. The detrended fluctuation model (DFM) was also used to examine the future sustainability of the ETo trend. The MK and MMK test results show that fifteen and sixteen stations reported a negative trend, and of them, thirteen stations had significant negative trends (p < 0.01). The TFPW-MK test findings also reveal that thirteen stations had a significant negative trend (p < 0.01), while ITA identified seventeen stations as having significant negative trends (p < 0.01). Based on this study’s test results and performance, the MK test appeared to be the best-performing method within the MK test family because it outperformed the others (p < 0.01). DFM results depicted improved future ETo trends at seventeen locations, of which fourteen were significant. This study will be beneficial to climate-induced risks and provide a scientific base for rational guidelines for agricultural production in Bangladesh.