Article
Environmental Sciences
Soghra Andaryani, Vahid Nourani, Farnaz Ershadfath, Fatemeh Hashemi, Ali Torabi Haghighi, Saskia Keesstra
Summary: This study explores the use of a vegetation cover index as a pollution warning tool in gold mining areas in Northwest Iran. The study analyzed Landsat images to extract normalized difference vegetation index (NDVI) maps and calculate vegetation cover in different zones. The study also investigated trends in vegetation cover and assessed the correlation with climate parameters. Results show that vegetation cover has been significantly reduced in the mining activities areas, but an overall upward trend is observed in the downstream area with no chemical leakage. The study demonstrates the potential of using NDVI and statistical methods to quantify the effects of human activities on surface biophysical characteristics.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Environmental
Akshita Choudhary, Susanta Mahato, P. S. Roy, Deep Narayan Pandey, P. K. Joshi
Summary: Aridity is a climatic phenomenon characterized by water shortage, which affects ecosystems' carrying capacity. It is represented by Aridity Index (AI), calculated based on rainfall and temperature. Assessing aridity is crucial for understanding global climate change. In agrarian countries like India, even a slight increase in drylands area can have significant economic and social impact. AI helps in identifying different climatic classes by analyzing temperature and precipitation trends.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Zulfaqar Saadi, Zaher Mundher Yaseen, Aitazaz Ahsan Farooque, Nur Athirah Mohamad, Mohd Khairul Idlan Muhammad, Zafar Iqbal
Summary: This study aims to reveal the spatio-temporal trend in extreme rainfall and temperature in Sarawak peatland due to climate change. The Modified Mann-Kendall test was used to analyze trend and confirm the impact of large scale climate events. The study provides essential insights into the behavior of different extreme climate variables and their potential impact on the peatland area susceptible to flood and fire.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Meteorology & Atmospheric Sciences
Azfar Hussain, Jianhua Cao, Shaukat Ali, Sher Muhammad, Waheed Ullah, Ishtiaq Hussain, Mobeen Akhtar, Xiuqin Wu, Yinghui Guan, Jinxing Zhou
Summary: Long-term precipitation monitoring is important for water resource management and disaster prevention. This study assessed the trends in seasonal and annual precipitation in Pakistan from 1960 to 2016 and found that, overall, there was an increasing trend in precipitation. However, there were also regional and seasonal variations in the trends, with some areas experiencing a decrease in precipitation.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
A. Bharath, Ramesh Maddamsetty, M. Manjunatha, T. Reshma
Summary: The study aims to determine the variability and trend in rainfall in Karnataka state, India. The findings reveal increased annual and seasonal rainfall in the study area, except for a significant decline during the post-monsoon season.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Youssef Lebrini, Abdelghani Boudhar, Ahmed Laamrani, Abdelaziz Htitiou, Hayat Lionboui, Adil Salhi, Abdelghani Chehbouni, Tarik Benabdelouahab
Summary: Changing land use patterns is crucial in environmental studies and land use management in arid regions. Sparse ground data can lead to uncertainties in characterizing phenological changes, but remote sensing methods offer a solution. This study in Morocco analyzed farming systems using NDVI time-series data and found significant plant cover dynamics driven by farmers' cultivation behaviors, with variations linked to weather conditions and rainfall patterns.
Article
Agronomy
Lvyang Xiong, Yao Jiang, Xinyi Li, Dongyang Ren, Guanhua Huang
Summary: This study analyzed long-term regional groundwater responses and their ecological impacts under the long-term agricultural water saving strategy implemented in the Yellow River basin. The results showed that agricultural water saving caused a significant decrease in net water diversion and an increase in drainage, leading to groundwater reduction. Additionally, significant changes in groundwater depth and salinity were observed, and wetland loss was also found. Therefore, this study provides important information for agricultural water management in arid irrigation districts.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agronomy
Juan Herrero, Carmen Castaneda
Summary: This paper discusses an old soils report produced using an agronomical approach, focusing on parts of Spain's Huesca and Zaragoza provinces. Data was collected by the Spanish Ministry of Agriculture from 1975 to 1978 through the National Institute for Agrarian Reform and Development, in order to evaluate the potential of lands for irrigated agriculture. The document provides a unique snapshot of soils and agriculture in the 1970s, serving as a baseline for multitemporal comparisons.
Article
Environmental Sciences
Zhi-Qiang Yu, Kei Nakagawa, Ronny Berndtsson, Toru Hiraoka, Yoshihiro Suzuki
Summary: Different land-use types have different impacts on nitrogen content in groundwater, with forest recharge areas having the lowest nitrogen concentrations and urban areas and agricultural land having higher concentrations. Intensive agricultural land use and wastewater discharge from urban areas are major contributors to groundwater nitrogen contamination. The Nitrate Directive Plan has shown positive effects in mitigating groundwater nitrogen problems, but continued management is needed to improve groundwater conditions.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Environmental Sciences
Martina Zelenakova, Hany F. Abd-Elhamid, Katarina Krajnikova, Jana Smetankova, Pavol Purcz, Ibrahim Alkhalaf
Summary: This study analyzed rainfall trends in Syria and found that most stations showed a decreasing trend in rainfall. While there was a slight increase in rainfall during the fall period, significant decreases were observed in winter and spring. This will result in water scarcity in the country. These findings align with predictions from the Intergovernmental Panel on Climate Change (IPCC) regarding decreasing rainfall in the Mediterranean and southern Asia regions.
Article
Environmental Sciences
Xu Peng, Wang Zegen, Huang Zhuo, Yong Zhiwei, Lin Rui, Zhao Yang
Summary: Land degradation is a global issue that affects human sustainable development. The trend of land cover change is closely related to the quality of land resources and regional ecological environment. Sustainable management of land resources is essential for sustainable development.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Environmental Sciences
Arlinda Cakaj, Erjon Qorri, Fatimatou Coulibaly, Alessandra De Marco, Evgenios Agathokleous, Stefan Leca, Pierre Sicard
Summary: This study analyzed hourly ground-level ozone (O-3) data from 52 monitoring stations in Poland from 2010 to 2019. The results showed that O-3 levels were higher in rural areas than in cities, and they increased in both urban and rural areas during this period. The study also identified southeastern Poland as facing the highest risk of O-3. The findings provide new information on O-3 levels, exceedances, and trends in Poland, which can be used to develop effective policies to mitigate the effects of O-3.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Farshad Ahmadi, Mohammad Nazeri Tahroudi, Rasoul Mirabbasi, Rohitashw Kumar
Summary: This study examined the temperature and precipitation trends in Iran's largest agricultural products hub, Khuzestan Province, from 1988 to 2018. The results showed a direct relationship between increasing temperature and decreasing precipitation in the study area. The annual temperature has significantly increased, while the annual precipitation has significantly decreased. Sudden changes in temperature and precipitation were detected, indicating a changing climate in the study area.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Environmental Sciences
Ji He, Yu-Rong Wan, Hai-Tao Chen, Wen-Chuan Wang
Summary: This study used the SWAT and CA-Markov models to analyze the runoff variation trends in the Luojiang River basin, finding a decreasing trend in runoff in recent years and predicting an increase in runoff coefficient due to future land use changes.
Article
Green & Sustainable Science & Technology
Kumari Anjali, Thendiyath Roshni
Summary: This study examines the impact of forest cover change on rainfall and land surface temperature in the Western Ghats region of India from 2000 to 2019. The research indicates that forest cover loss could lead to an increase in land surface temperature and have implications for monsoon rainfall patterns.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Environmental Sciences
Mohammed Magdy Hamed, Obaidullah Salehie, Mohamed Salem Nashwan, Shamsuddin Shahid
Summary: Global warming has increased the frequency of temperature extremes, especially in hot dry countries like Egypt. This study projected changes in temperature extremes for different future scenarios and found that hot extremes are likely to increase, while cold extremes may decline. The findings emphasize the importance of long-term adaptation plans to build resilience to rising temperatures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Pennan Chinnasamy, Zeel Shah, Shamsuddin Shahid
Summary: This study quantifies the impact of the COVID-19 lockdown in India on air quality by analyzing the change in major air pollutants. The results show a significant decline in concentrations of SO2 and NO2, a slight decrease in O-3 and CO concentration, and varying reductions in PM2.5 and PM10 levels across different regions.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
Article
Engineering, Environmental
Mohammed Magdy Hamed, Saad Sh Sammen, Mohamed Salem Nashwan, Shamsuddin Shahid
Summary: This study examined the spatiotemporal variation of drought in Iraq using climate models. Northern Iraq was found to be the most vulnerable region to droughts. The projections suggest a decrease in drought frequency in the near future but a significant increase in the late period, especially under specific scenarios.
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
Green & Sustainable Science & Technology
Meysam Nouri, Parveen Sihag, Ozgur Kisi, Mohammad Hemmati, Shamsuddin Shahid, Rana Muhammad Adnan
Summary: This study evaluated the discharge coefficient of a combined compound rectangular broad-crested-weir (BCW) gate using the computational fluid dynamics (CFD) modeling approach and soft computing models. Six data-driven procedures were used to estimate the coefficient of discharge (C-dt) of the weir gates, and the SVM model showed the highest accuracy in prediction. The multimode ANN model was found to be the most suitable for predicting the C-dt of a BCW gate, with minimum root mean square error (RMSE) and maximum correlation.
Article
Engineering, Civil
Gyamfi Kwame Adutwum, Eun-Sung Chung, Mohammed Sanusi Shiru, Shamsuddin Shahid
Summary: Analysing and understanding the occurrence and development of droughts is crucial for mitigating drought impacts. This study investigated changes in the joint distribution of drought duration and severity in Accra and Yendi, Ghana. The best-fitted Copula models were used to analyze the drought return period, based on the duration and severity estimated using the Standardized Precipitation Index. The results showed the most suitable Copula models and marginal distributions for each city, and indicated a significant reduction in drought return periods in the future for Yendi.
KSCE JOURNAL OF CIVIL ENGINEERING
(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
Engineering, Environmental
Mohamad Rajab Houmsi, Zulhilmi Ismail, Ilya Khairanis Othman, Daeng Siti Maimunah Ishak, Mohammed Magdy Hamed, Zafar Iqbal, Deprizon Syamsunur, Shamsuddin Shahid
Summary: Global warming causes a rise in temperature and alteration of other meteorological variables, leading to direct or indirect impacts on human comfort. The wet bulb globe temperature (WBGT) integrates various meteorological variables to provide a reliable measure of human thermal stress. However, there is limited research on the characterization and trend assessment of WBGT in the tropical humid region like Peninsular Malaysia due to the lack of necessary meteorological data. This study utilized reanalysis meteorological data to evaluate the characteristics and changes in outdoor WBGT over Peninsular Malaysia from 1959 to 2021. The results showed an increasing trend in WBGT for all time scales, with the coastal and south regions experiencing the highest increase. The generated information and maps can be used for heat-related stress risk mitigation planning in Peninsular Malaysia, where temperature extremes have been rapidly increasing in recent years.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Environmental Sciences
Karam Alsafadi, Shuoben Bi, Bashar Bashir, Ehsan Sharifi, Abdullah Alsalman, Amit Kumar, Shamsuddin Shahid
Summary: This study proposed a new spatial mapping approach for precipitation that combines regression-kriging with cloud cover frequency data, improving the accuracy of precipitation interpolation. The findings showed that this hybrid model outperformed conventional multivariate regression models in modeling precipitation.
Article
Environmental Sciences
Ozgur Kisi, Kulwinder Singh Parmar, Amin Mahdavi-Meymand, Rana Muhammad Adnan, Shamsuddin Shahid, Mohammad Zounemat-Kermani
Summary: This study investigated the potential of four different neuro-fuzzy embedded meta-heuristic algorithms (particle swarm optimization, genetic algorithm, harmony search, and teaching-learning-based optimization algorithm) in estimating the water quality of the Yamuna River in Delhi, India. The performance of hybrid neuro-fuzzy models in predicting COD was compared with classical neuro-fuzzy and LSSVM methods, with higher accuracy achieved when certain water quality parameters were used as inputs. The results demonstrated that the neuro-fuzzy models optimized with harmony search provided the best accuracy, while the particle swarm optimization and teaching-learning-based optimization showed the highest computational speed.
Article
Engineering, Marine
Rana Muhammad Adnan Ikram, Xinyi Cao, Tayeb Sadeghifar, Alban Kuriqi, Ozgur Kisi, Shamsuddin Shahid
Summary: This study examines the performance of a new hybrid neuro-fuzzy model, which combines the neuro-fuzzy (ANFIS) approach with the marine predators' algorithm (MPA), in predicting short-term significant wave heights. The ANFIS-MPA model is compared with two other hybrid methods, ANFIS-GA and ANFIS-PSO, and shows better accuracy in predicting significant wave height for multiple lead times ranging from 1 h to 1 day. The investigation of the best input for the prediction models using multivariate adaptive regression spline further enhances the accuracy of the ANFIS-MPA model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Studies
Tze Huey Tam, Muhammad Zulkarnain Abdul Rahman, Sobri Harun, Shamsuddin Shahid, Sophal Try, Mohamad Hidayat Jamal, Zamri Ismail, Khamarrul Azahari Razak, Mohd Khairolden Ghani, Yusrin Faiz Abdul Wahab
Summary: The present study evaluates the impact of climate change on flood hazard potential in the Kelantan River Basin. The intensity-duration-frequency method is used to estimate current and future design rainfall, and the results show contrasting projections of flood hazard aggravation and reduction by different climate models. It is the first study of flood projections in the Kelantan River Basin and provides valuable information for local managers and authorities in flood risk mitigation decision-making.
INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT
(2023)
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.
Article
Mathematics
Rana Muhammad Adnan Ikram, Xinyi Cao, Kulwinder Singh Parmar, Ozgur Kisi, Shamsuddin Shahid, Mohammad Zounemat-Kermani
Summary: This study examines the suitability of six metaheuristic regression techniques for predicting short-term significant wave heights. Hourly data and historical values from two stations in Australia were used as inputs for the predictions. The Gaussian process regression (GPR) showed the highest accuracy in predicting single-time-step and multi-time-step significant wave heights.
