Article
Water Resources
Goh Ee Hang, Jing Lin Ng, Yuk Feng Huang, Stephen Luo Sheng Yong
Summary: This study compared the performances of different PET models at seven meteorological stations in Peninsular Malaysia, with the Turc model being recommended as the best model for estimating PET.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Engineering, Civil
Zongjun Wu, Xi Chen, Ningbo Cui, Bin Zhu, Daozhi Gong, Le Han, Liwen Xing, Shunsheng Zhen, Qiling Li, Quanshan Liu, Pei Fang
Summary: This study evaluated the ET0 simulation results of 84 stations in four climate regions of China and identified the optimal models for each region. By using the Whale Optimization Algorithm (WOA) to optimize the models, the prediction accuracy was improved.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Environmental
Jing Lin Ng, Yuk Feng Huang, Stephen Luo Sheng Yong, Jia Wen Tan
Summary: Sensitivity analysis of reference crop evapotranspiration (ET0) is crucial in assessing the impacts of climate change on water resources and crop production. This study compared different ET0 estimation models in Peninsular Malaysia and determined the sensitivity of ET0 to various climatic factors. The Turc method was found to be the most accurate in ET0 estimation, and solar radiation was identified as the most influential variable on ET0.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Geography, Physical
Fuxiao Jiang, Xianhong Xie, Yibing Wang, Arken Tursun, Yao Liu
Summary: This study used GLASS products to detect changes in shortwave radiation and albedo over China from 2003 to 2018, and quantified their contributions to potential evapotranspiration (PET). The results showed that decreased shortwave radiation led to a decrease in PET, particularly in the agricultural production region of the north China plain. This highlights the importance of considering shortwave radiation balance when evaluating the reliability of climate change impacts on the hydrological cycle and ecosystem response.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Environmental Sciences
Mohd Khairul Idlan Muhammad, Shamsuddin Shahid, Mohammed Magdy Hamed, Sobri Harun, Tarmizi Ismail, Xiaojun Wang
Summary: This study developed temperature-based empirical ET models using Gene Expression Programming (GEP) to estimate and project evapotranspiration in peninsular Malaysia. The GEP models showed improved performance compared to existing methods. The projections indicated an increase in temperatures and evapotranspiration levels in peninsular Malaysia, with a potentially higher rise in the northern peninsula.
Article
Engineering, Civil
Pei Leng, Zhao-Liang Li, Qian-Yu Liao, Jianwei Ma, Yayong Sun, Qian Song, Xia Zhang, Guo-Fei Shang
Summary: The development of the pixel-to-pixel scheme aims to decrease the subjective requirements of trapezoid-based surface soil moisture (SSM) retrieval. In this study, a unique virtual trapezoid was created for each pixel over the North China Plain, and a daily/5-km SSM dataset was produced using satellite-derived atmospheric variables. The preliminary evaluation shows a high accuracy of the estimated SSM.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
En Lin, Rangjian Qiu, Mengting Chen, Hua Xie, Bushra Khurshid, Xinjuan Ma, Suolang Quzhen, Shizong Zheng, Yuanlai Cui, Yufeng Luo
Summary: Accurate forecasting of ET0 is crucial for water resource management and irrigation scheduling. This study compared temperature-based and sunshine duration-based models for predicting Rs and used these predictions to forecast ET0 with the PM model. The results showed that the PMTM3 model had the highest accuracy across different climate zones in China.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Xiongwei Ma, Qingzhi Zhao, Yibin Yao, Wanqiang Yao
Summary: Terrestrial evaporation is crucial for climate change, water cycle research and drought monitoring. This paper proposed a novel method to retrieve ETP using PWV and temperature in China, establishing a high spatial resolution C-RTH model for drought prevention and control.
JOURNAL OF HYDROLOGY
(2021)
Article
Agronomy
Qiong Su, Vijay P. Singh, Raghupathy Karthikeyan
Summary: This study evaluated the performance of temperature and radiation-based methods for estimating reference evapotranspiration (ETo) and improved their accuracy through calibration. The radiative component was found to be the major driving factor of ETo. In the cool season, vapor pressure deficit and wind speed had significant impacts on ETo. The adjusted HS_T and PT_R methods can enhance the efficiency and accuracy of predicting regional or global irrigation water demand.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Talyana Kadja de Melo, Jose Espinola Sobrinho, Jose Franscimar de Medeiros, Vladimir Batista Figueiredo, Edmilson Gomes Cavalcante Junior, Tayd Dayvison Custodio Peixoto, Francisco Vanies da Silva Sa
Summary: This study investigated the future impact of climate change on melon phenology and water demand in a semi-arid region in Brazil. The results showed that increased air temperature and relative humidity will affect the growth cycle and water demand of melon cultivars. The study also found that different melon varieties have different sensitivities to climate change.
Article
Environmental Sciences
Jianghai Peng, Bo Jiang, Hongkai Chen, Shunlin Liang, Hui Liang, Shaopeng Li, Jiakun Han, Qiang Liu, Jie Cheng, Yunjun Yao, Kun Jia, Xiaotong Zhang
Summary: A new empirical scheme for estimating ocean surface net radiation (R-n) was developed based on data from 66 moored buoys, showing good performance overall but limitations in coastal and high-latitude regions and when daytime length ratios are too small. The scheme includes two conditional models utilizing either downward shortwave radiation or downward longwave radiation depending on the daytime length ratio.
Article
Computer Science, Information Systems
Olakunle Elijah, Sharul Kamal Abdul Rahim, Vitawat Sittakul, Ahmed M. Al-Samman, Michael Cheffena, Jafri Bin Din, Abdul Rahman Tharek
Summary: An experimental study in a tropical region (Malaysia) analyzed the impact of weather conditions on Long Range (LoRa) communication, finding a positive correlation between RSSI values and atmospheric temperature, onboard temperature, and solar radiation during the day. No correlation was observed between RSSI signals and relative humidity.
Article
Engineering, Civil
Guo Yu Qiu, Bei Wang, Tong Li, Xiaonan Zhang, Zhendong Zou, Chunhua Yan
Summary: This study extended a three-dimensional model to estimate the transpiration rate of typical urban shrubs and validated the reliability of the modified model. Results showed that urban shrubs have high transpiration rates, with significant variations in different directions. The improved model provides meaningful information for urban evapotranspiration measurement and urban planning.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Zuraidah Sulaiman, Hanis Syuhada Ahmad Sugiran, Nornajihah Nadia Hasbullah, Adaviah Mas'od, Suhairul Hashim, David Andrew Bradley
Summary: This study examines how psychological factors influence consumer decisions when purchasing products containing radioactive materials. The results show that promotion-focused advertisements have a positive effect on consumers' radiation safety knowledge and product knowledge, leading to risk perception. However, prevention-focused advertisements do not moderate the relationship between knowledge and risk perception. These findings provide guidelines for manufacturers, sellers, marketers, and the government in designing effective social marketing advertisements for products containing radioactive materials.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Zhaofei Liu
Summary: Accurate simulation of evapotranspiration is crucial for hydrology, ecology, agriculture, and water resources management. This study developed a non-linear function to simulate daily evapotranspiration constrained by soil water. Evaluation results showed that the non-linear function had higher accuracy compared to linear relations and complementary relationship methods. The accuracy of the simulation varied globally, with some regions achieving high accuracy while others performing poorly.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Mohammed Magdy Hamed, Mohamed Salem Nashwan, Shamsuddin Shahid
Summary: This study assesses the potential changes in thermal bioclimate in the Middle East and North Africa region, indicating significant impact even with minor temperature changes.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Environmental Sciences
AbdulRazaq Salaudeen, Shamsuddin Shahid, Abubakar Ismail, Babatunde K. Adeogun, Morufu A. Ajibike, Al -Amin Danladi Bello, Olugbenga B. E. Salau
Summary: Recently, there has been an increase in flood emergencies in Nigeria, with the frequencies and impacts expected to worsen in the future due to land-use/land cover and climate change stressors. This study uses a process-based watershed modelling approach to understand the current and future hydrological fluxes of the Gongola river basin and evaluate the effectiveness of different management options as adaptation measures. The results show that climate stressors have a greater impact than land-use/land cover, with a potential increase of peak discharge by 48% compared to historical levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Environmental
Abul Kashem Faruki Fahim, A. S. M. Maksud Kamal, Shamsuddin Shahid
Summary: This study assessed the spatiotemporal changes in groundwater availability and sustainability in Bangladesh. The results showed that the groundwater level is declining in most areas, particularly in the northwest and central regions. The major cause of declining groundwater sustainability in the central region is high abstractions for irrigation and domestic supply, while increased rainfall contributes to increased sustainability in the northwest region.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Obaidullah Salehie, Mohammed Magdy Hamed, Tarmizi bin Ismail, Tze Huey Tam, Shamsuddin Shahid
Summary: This research evaluates the ability of 19 global climate models (GCMs) to simulate precipitation and temperature in the Amu Darya river basin and ranks their performance using a multi-criteria decision-making approach. The findings indicate that certain models perform well in reproducing observed data and predict an increase in precipitation and temperature in the future, particularly under higher socioeconomic scenarios.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Mohammed Magdy Hamed, Mohamed Salem Nashwan, Shamsuddin Shahid, Xiao-Jun Wang, Tarmizi Bin Ismail, Ashraf Dewan, Md Asaduzzaman
Summary: This study evaluates the potential climate zone shifts in Southeast Asia (SEA) under different shared socioeconomic pathways (SSPs). The analysis uses 19 Coupled Model Intercomparison Project (CMIP6) global climate models (GCMs) to reconstruct the climate zones in SEA and assesses their skill in classifying observed climate. The selected best-performing models are used to project future climate zone shifts for different SSP scenarios. The results indicate that climatic shifting is influenced by factors such as minimum temperature increase and rainfall change, with a higher occurrence under high emission scenarios. The generated maps of future climate zones can help identify ecologically vulnerable areas in SEA due to climate change.
ATMOSPHERIC RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Zulfiqar Ali, Mohammad Magdy Hamed, Mohd Khairul Idlan Muhammad, Zafar Iqbal, Shamsuddin Shahid
Summary: Extreme weather events are more detrimental to human culture and ecosystems than typical weather patterns. A multimodel ensemble (MME) of the top-performing global climate models (GCMs) was used to simulate and project changes in precipitation extremes in Pakistan. The results showed that selected GCMs performed better in simulating and projecting precipitation extremes compared to using all GCMs.
Article
Environmental Sciences
Hai Tao, Ali H. Jawad, A. H. Shather, Zainab Al-Khafaji, Tarik A. Rashid, Mumtaz Ali, Nadhir Al-Ansari, Haydar Abdulameer Marhoon, Shamsuddin Shahid, Zaher Mundher Yaseen
Summary: This study used machine learning models to predict high-resolution PM2.5 concentration based on meteorological and soil data. Three advanced ML models were used to simulate the air PM2.5 concentration in Iraq during the most polluted months, and the LSTM model achieved the best performance.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Environmental Sciences
Ahmed Mohamed Gebaly, Mohamed Salem Nashwan, Wael Mohamed Hamdy Khadr, Shamsuddin Shahid
Summary: This study used eight global climate models to project the changes in wind energy production in Egypt. The results showed that wind power density would increase in most of Egypt, except in the far southeast. The study's findings can be beneficial for energy policymakers and planners in managing wind energy production under climate change scenarios.
REGIONAL ENVIRONMENTAL CHANGE
(2023)
Article
Construction & Building Technology
Aung Kyaw Kyaw, Mohammed Magdy Hamed, Mohammad Kamruzzaman, Shamsuddin Shahid
Summary: Rising temperatures and altered meteorological parameters in South Asia have exposed billions of people to extreme heat. This study analyzed high resolution reanalysis data for the period 1979-2021 and found an increase in average daily mean WBGT by 0.1-0.5 degrees C/decade and an increase in areas exposed to extreme heat by 56% and 66% during monsoon and pre-monsoon, respectively. The study also revealed an increase in extremely hot days by more than six days/decade in a major part of the region.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Geosciences, Multidisciplinary
Abu Reza Md. Towfiqul Islam, Mst. Yeasmin Akter, Sumaia Amanat, Edris Alam, Mst. Laila Sultana, Shamsuddin Shahid, Arnob Das, Susmita Datta Peu, Javed Mallick
Summary: This study employed the Guttenberg-Richter relationship and the spectral models to assess and analyze the earthquake conditions in Bangladesh. The results revealed a strain release from 1992 to 2017 and magnitude and strain release anomalies, indicating the probable precursor of an upcoming earthquake.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Environmental Sciences
Tao Zhang, Xiaojun Wang, Zhifeng Jin, Shamsuddin Shahid, Bo Bi
Summary: This paper used the Empirical Mode Decomposition (EMD) time-series analysis method to analyze the quantitative effects of climatic factor changes on irrigation water use in Jiangsu Province from 2004 to 2020. The results showed that climate factors have a significant impact on irrigation water use, with precipitation being the most influential factor.
Article
Green & Sustainable Science & Technology
Mohamad Rajab Houmsi, Zulhilmi bin Ismail, Ghaith Falah Ziarh, Mohammed Magdy Hamed, Daeng Siti binti Maimunah Ishak, Mohd Khairul Idlan Muhammad, Muhamad Zulhasif bin Mokhtar, Zulfaqar Sa'adi, Shamsuddin Shahid
Summary: Climate change has increased human thermal stress, especially in tropical regions. This study assesses the impact of various meteorological variables on Wet Bulb Globe Temperature (WBGT) in Peninsular Malaysia and reveals that air temperature is the primary driver of WBGT change. The study also finds a significant annual increase in temperature and WBGT, particularly in coastal regions.
Article
Green & Sustainable Science & Technology
Bijay Halder, Subhadip Barman, Papiya Banik, Puja Das, Jatisankar Bandyopadhyay, Fredolin Tangang, Shamsuddin Shahid, Chaitanya B. Pande, Baqer Al-Ramadan, Zaher Mundher Yaseen
Summary: Currently, natural hazards, such as floods, landslides, droughts, and deforestation, are amplified by climate change and human activities, leading to increased vulnerability, environmental degradation, and loss of life. This study used the Google Earth Engine platform and satellite data to analyze the extent of flood inundation and deforestation in Assam state, India in 2022. The findings revealed significant vegetation loss and flood inundation in several districts, emphasizing the importance of satellite-based information for effective hazard and disaster management strategies.
Article
Multidisciplinary Sciences
Young Hoon Song, Eun-Sung Chung, Shamsuddin Shahid, Yeonjoo Kim, Dongkyun Kim
Summary: The study generated a global dataset of monthly climate variables to estimate potential evapotranspiration (PET), which is crucial for sustainable water management in agriculture in the face of climate change. The dataset has a spatial resolution of 0.5 degrees x 0.5 degrees and covers the period from 1950 to 2100. It can be used to estimate historical and future PET using the Penman Monteith method, and can also be applied to various PET estimation methods based on climate variables.
