Article
Environmental Sciences
C. Sanchez-Garcia, C. Santin, J. Neris, G. Sigmund, X. L. Otero, J. Manley, G. Gonzalez-Rodriguez, C. M. Belcher, A. Cerda, A. L. Marcottej, S. F. Murphy, C. C. Rhoades, G. Sheridanm, T. Strydom, P. R. Robichaud, S. H. Doerr
Summary: The mobilisation of potentially harmful chemical constituents in wildfire ash can pose widespread societal risks. This study provides a comprehensive dataset on the chemical characteristics of wildfire ashes from across the globe and examines their potential societal and environmental implications. The findings can serve as a methodological standardisation for wildfire ash sampling and chemical analysis protocols.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Agronomy
Ahmad Mehrabi, Manouchehr Heidarpour, Hamid R. Safavi, Farshad Rezaei
Summary: This study effectively reduced groundwater drawdown in the western part of the Qazvin plain irrigation network in Iran by utilizing gravitational search algorithm and artificial neural network, while increasing agricultural net benefits and net benefits per unit water consumption.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agronomy
Muhammad Awais Ali Khan, Khalid Mahmood Ch., Ijaz Ashraf, Muhammad Tahir Siddiqui, Jerry W. Knox
Summary: This paper evaluates the water challenges faced by Pakistan's economy, particularly in the Punjab region, and identifies eight factors directly impacting farmer well-being. Statistical analysis using the Kruskal-Wallis test shows significant differences in demographic attributes and the identified factors, highlighting the importance of education and age in the adoption of efficient irrigation systems. The research underscores the need to introduce crops with lower water demand and support agricultural extension services to enhance crop productivity and on-farm water conservation.
IRRIGATION AND DRAINAGE
(2021)
Article
Geosciences, Multidisciplinary
Ji-Wan Lee, Eun-Mi Hong, Won-Jin Jang, Seong-Joon Kim
Summary: This study proposes a socio-economic drought information (SEDI) based on Internet news articles that can consider droughts in situ. The evaluation results showed that SEDI could realistically reflect the lack of precipitation and social impact on South Korea.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Biodiversity Conservation
Yadi Ai, Zhenzhen Ma, Xinmin Xie, Tao Huang, Hongguang Cheng
Summary: Ecological reservoir operation is a feasible approach to coordinate socio-economic water use and ecological water use in rivers. However, satisfying ecological water demand in water shortage areas remains a challenge. This study improved the reservoir operation rules and developed an optimization model based on dual-control management indexes. The results showed that the optimization model effectively balanced ecological and socio-economic water use, providing a scientific basis for water resources management.
ECOLOGICAL INDICATORS
(2022)
Article
Green & Sustainable Science & Technology
Cristina Cambeses Franco, Ricardo Rebolledo-Leiva, Sara Gonzalez-Garcia, Gumersindo Feijoo, Maria Teresa Moreira
Summary: The study found a correlation between the dietary environmental impacts and food insecurity of different socioeconomic subgroups in Chile, noting that higher income groups had higher environmental burdens and higher carbon and water footprints. Although current diets in Chile do not meet nutritional recommendations, diet quality increases with socioeconomic status.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Civil
Mulu Sewinet Kerebih, Ashok K. Keshari
Summary: This study developed a coupled simulation-optimization model for the conjunctive use of groundwater and surface water, contributing to the sustainable development of water resources. By applying the model in different scenarios, it was found that the total annual optimal pumping can be reduced when restricting stream flow depletion.
WATER RESOURCES MANAGEMENT
(2021)
Article
Economics
Ghulam Rasool Madni, Muhammad Awais Anwar, Nawaz Ahmad
Summary: This paper explores the impact of social, political, and economic activities on the environment in 116 developing economies from 1996 to 2019. The study finds that GDP growth, the financial sector, and energy consumption contribute to increased carbon dioxide emissions, while institutional quality, ethnic diversity, and political freedom play a crucial role in reducing environmental deterioration. Policy-makers are suggested to focus on promoting social connections among ethnic groups, ensuring high-quality institutions, guaranteeing political freedom for all, and fostering inclusive financial development for a less polluted environment in these economies.
JOURNAL OF THE KNOWLEDGE ECONOMY
(2022)
Article
Geosciences, Multidisciplinary
Ji-Wan Lee, Eun-Mi Hong, Jin-Uk Kim, Won-Jin Jang, Chung-Gil Jung, Seong-Joon Kim
Summary: This study aims to analyze the correlation between socioeconomic drought information (SEDI) based on Internet news articles and agricultural drought data, and to determine whether SEDI can provide reliable information regarding damage due to agricultural drought. The results show that SEDI has a significant correlation with agricultural statistical datasets, and it can detect drought one month earlier than the agricultural reservoir drought index (RDI). The findings suggest that our proposed method can contribute to the development of an impact-based early warning system for agricultural drought management.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Geosciences, Multidisciplinary
Asish Saha, Subodh Chandra Pal, Indrajit Chowdhuri, Paramita Roy, Rabin Chakrabortty, Manisa Shit
Summary: Drought is a complex natural disaster that causes significant global economic losses, especially in agricultural areas, posing a threat to global food security. This study successfully assessed drought vulnerability in India, considering meteorological, hydrological, agricultural, and socio-economic factors, using statistical and machine learning models. The findings indicate the effectiveness of the method and will aid in developing drought mitigation measures.
Article
Green & Sustainable Science & Technology
Sarah Namany, Rajesh Govindan, Marcello Di Martino, Efstratios N. Pistikopoulos, Patrick Linke, Styliani Avraamidou, Tareq Al-Ansari
Summary: This study proposes an Agent-based model that supports decision-making for the food system by simulating multiple scenarios. The model is applied to Qatar's food sector and evaluates its performance under economic, environmental, and social scenarios. The findings suggest that ensuring food supply requires significant investment and may result in substantial greenhouse gas emissions.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Environmental Sciences
Rizwan Rasheed, Asfra Rizwan, Hajra Javed, Faiza Sharif, Asghar Zaidi
Summary: The COVID-19 pandemic has significantly impacted the economy of Pakistan, leading to a rise in poverty levels due to social measures, while simultaneously improving urban air quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Abhishek Kumar, Xiangning He, Yan Deng, Arvind R. Singh, Bikash Sah, Praveen Kumar, R. C. Bansal, M. Bettayeb, Ramesh Rayudu
Summary: This study proposes a sustainable microgrid design framework that utilizes locally accessible energy sources for rural electrification. The framework combines social-political evaluation, techno-market analysis, feasibility analysis, and environmental-economic analysis to determine the optimal electrification solution.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Article
Economics
Chu Lin, Wei Sun
Summary: This paper examines the effectiveness of China's CEPI program in promoting local governments' enforcement of environmental regulations. The study finds that the program leads to a significant reduction in air pollution, but also has a negative impact on economic growth. The effect of the program on air quality and economic growth is temporary, and it is more significant when local officials have higher promotion potential. Cost-benefit analysis suggests that the program's cost outweighs its benefit.
Article
Environmental Sciences
Rajendra Khanal, Michael P. Brady, Claudio O. Stockle, Kirti Rajagopalan, Jonathan Yoder, Michael E. Barber
Summary: Balancing out-of-stream water demands and ecological instream flows is a challenging task in watershed management. Partial leasing of water rights through a deficit-irrigation strategy can benefit farmers economically while increasing water availability for other uses.
WATER RESOURCES RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
M. Heshmati, F. Daneshmand, Y. Amini
Summary: This paper investigates the influence of non-uniform flow velocity distribution on the dynamic behavior and instability of elliptical pipes made of functionally graded materials (FGMs) with non-conventional cross sections. The traditional equation of motion for a circular pipe is modified to consider the centrifugal and Coriolis forces, and the finite element method is used to discretize and solve the governing equations. The critical flow velocities, divergence, and re-stabilization behavior of the pipe are predicted using modal analysis. The effects of power index and aspect ratio on the stability of FGM elliptical pipes are also examined.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Civil
Nafiseh Bahrami, Mohammad Reza Nikoo, Ghazi Al-Rawas, Khalifa Al-Jabri, Amir H. Gandomi
Summary: The study integrates an agent-based model and a multi-objective optimization method to fairly distribute wastewater resources to different beneficiaries in Tehran Province, Iran. The results highlight that considering stakeholders' objectives and interactions can lead to a more equitable solution.
WATER RESOURCES MANAGEMENT
(2023)
Review
Environmental Sciences
Khadijeh Norouzi Khatiri, Banafsheh Nematollahi, Samira Hafeziyeh, Mohammad Hossein Niksokhan, Mohammad Reza Nikoo, Ghazi Al-Rawas
Summary: This study presents a review and bibliometric analysis of popular techniques in groundwater management and allocation models. The literature is categorized into four sectors: simulation and surrogate models, classic and smart optimization models, uncertainty analysis techniques, and decision-making models. The study concludes with a summary and goals for future research.
Article
Water Resources
Maziyar Bahrami, Nasser Talebbeydokhti, Gholamreza Rakhshandehroo, Mohammad Reza Nikoo, Jan Franklin Adamowski
Summary: A fusion-based framework was developed by coupling a particle filter Markov chain Monte Carlo (PFMCMC) data assimilation method with the hydrological Sacramento Soil Moisture Accounting Model (SAC-SMA) to improve one-day-ahead runoff prediction. Mean daily precipitation from multiple sources was used as forcing data, while ground station and multiple bias-corrected satellite-based precipitation datasets served as precipitation input datasets. The proposed framework improved SAC-SMA runoff prediction accuracy by incorporating precipitation datasets from multiple sources in the data assimilation procedure, leading to a 13.7% improvement in SAC-SMA model performance metrics (NSE, MAB, RMSE, RMSRE, RMRE).
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Water Resources
Mojgan Bordbar, Mohammad Reza Nikoo, Ahmad Sana, Banafsheh Nematollahi, Ghazi Al-Rawas, Amir H. Gandomi
Summary: This study proposes a new hybrid framework for assessing the vulnerability of the Al-Khoud coastal aquifer in Oman. The framework combines statistical-based, multi-attribute decision-making (MADM), and multi-objective optimization methods. The vulnerability index model GALDIT is modified by adding the parameter of bedrock topography (BT) and removing the aquifer type parameter. The GALDIT rates are further adjusted using the frequency ratio (FR) and stepwise weight assessment ratio analysis (SWARA) methods, and the weights are optimized with the non-dominated sorting genetic algorithm-II (NSGA-II). The resulting coastal aquifer vulnerability index (CAVI) model highlights areas of high vulnerability in the Northern aquifers and shows a strong correlation (0.78) with total dissolved solids (TDS) as an indicator of groundwater quality.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Environmental Sciences
Mostafa Shoorangiz, Mohammad Reza Nikoo, Jirka Simunek, Amir H. Gandomi, Jan Franklin Adamowski, Malik Al-Wardy
Summary: This study proposes a risk-based simulation-optimization framework combined with a decision support model to determine optimal locations for contaminant flushing hydrants. The framework reduces the risk of water contamination events and provides a robust plan with a 95% confidence level. The integrated model incorporates a conflict modeling technique and a novel contamination event grouping-parallel water quality simulation technique to reduce model runtime.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Engineering, Marine
M. Heshmati, F. Daneshmand, Y. Amini
Summary: The dynamic responses of corrugated clamped-clamped pipes conveying fluid are investigated in this study. The governing equations of the system are derived based on the Hamiltonian principle using the Euler-Bernoulli beam hypothesis. Non-uniformity of the flow velocity profile is considered and flow-profile-modification factor and space-dependent mean velocity are proposed. The finite element method is used for spatial discretization. The stability of the pipe system is examined with various parameters, showing significant effects of corrugation length and amplitude on system stability.
Article
Water Resources
Seyed Mehran Jafari, Mohammad Reza Nikoo, Omid Bozorg-Haddad, Nasrin Alamdari, Raziyeh Farmani, Amir H. Gandomi
Summary: This study aims to address the challenges of water distribution networks (WDNs), including high investment requirement for pipe maintenance, high performance, and uncertainties of input variables. A robust clustering multi-objective (RCMO) approach is developed, which combines five models to prepare and implement optimal instructions for pipe replacement with maximum hydraulic performance, minimum cost, and minimum uncertainty. The approach is applied to WDN in Gorgan, Iran, and the results show significant improvements in physical and hydraulic performance of the network, as well as a reduction in the annual deficit of nodes' demand. Additionally, the proposed methodology significantly reduces the optimization run time.
URBAN WATER JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Iman Rahimi, Amir H. Gandomi, Mohammad Reza Nikoo, Fang Chen
Summary: This paper uses and investigates nineteen state-of-the-art evolutionary multi-objective algorithms to compare their performance in solving the next release problem in the software industry. The problem aims to maximize customer satisfaction and minimize total cost. Three indicators, including hyper-volume, spread, and runtime, are examined to evaluate the algorithms. NSGA-II shows the best CPU run time and the results suggest that NNIA and SPEAR perform well within the reasonable range of hyper-volume and spread values. The conclusion and future research directions are also discussed.
APPLIED SOFT COMPUTING
(2023)
Article
Green & Sustainable Science & Technology
Mohammad G. Zamani, Mohammad Reza Nikoo, Fereshteh Niknazar, Ghazi Al-Rawas, Malik Al-Wardy, Amir H. Gandomi
Summary: Water quality is a major concern in reservoir management due to its negative impact on the environment and human life. The existing literature lacks exploration of the combination of different machine learning algorithms, which has the potential to greatly improve outcomes. This study evaluates the precision of various algorithms and finds that the BMEF model outperforms individual models, particularly in terms of oxidation-reduction potential.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Mohammad G. Zamani, Khashayar Saniei, Banafsheh Nematollahi, Zahra Zahmatkesh, Mohammad Moghadari Poor, Mohammad Reza Nikoo
Summary: Designing urban runoff drainage systems is crucial for managing floods in impermeable areas. This research proposes a method to analyze the impact of climate change on optimal low impact developments (LIDs) in urban drainage systems. The study uses a simulation-optimization model that combines a Storm Water Management Model and a genetic algorithm to minimize costs and improve flood control. The results show that the developed LIDs effectively reduce flooding and pollutant loads.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Masoumeh Zare, Mohammad Reza Nikoo, Banafsheh Nematollahi, Amir H. Gandomi, Raziyeh Farmani
Summary: Groundwater vulnerability mapping is crucial in environmental management due to increasing contamination caused by population growth. This study developed an innovative risk-based multi-objective optimization model using three different models. The results showed that the optimized SI and DRASTICA models improved the correlation for Nitrate and Sulfate contamination, with the highest correlation values of 0.6 and 0.7.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Mohammad G. Zamani, Mohammad Reza Nikoo, Dana Rastad, Banafsheh Nematollahi
Summary: Effective prediction of qualitative and quantitative indicators for runoff is crucial in water resources planning and management. This study compares data-driven techniques (ANN, LSTM, WANN, and WLSTM models) for runoff evaluation and demonstrates their superiority over model-driven approaches. The comparisons are based on statistical indices such as R-Squared, NSE, MAE, and RMSE, with wavelet function improving the accuracy of ANN and LSTM models. The proposed framework, successfully applied to ECW, Indiana, U.S., proves to be applicable and efficient.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Engineering, Marine
Mostafa Gandomi, Moharram Dolatshahi Pirooz, Banafsheh Nematollahi, Mohammad Reza Nikoo, Iman Varjavand, Talal Etri, Amir H. Gandomi
Summary: This study proposed a stochastic multi-criteria decision-making model to optimize the geometry of permeable breakwaters by using a combination of the non-dominated sorting genetic algorithm-II (NSGA-II) and the multi-layer perceptron neural network (MLP-NN). The risk-based model, considering the uncertainties in wave characteristics, determined the optimal trade-offs between wave transmission, wave reflection, and rockfill materials volume using the conditional value-at-risk (CVaR) method. The model was experimentally applied for risk analysis of a permeable breakwater under different wave heights and confidence levels. The study achieved a rating of 8 out of 10 in terms of importance.
Article
Green & Sustainable Science & Technology
Alireza Shadmani, Mohammad Reza Nikoo, Amir H. Gandomi
Summary: Due to the increasing global energy needs, renewable energy systems, such as wave energy converters (WECs), have become a feasible solution to meet the current energy demand. This study proposes a multiscenario model using a boundary element method (BEM) solver, NEMOH, integrated with evolutionary manyobjective algorithms to evaluate the performance of a multi-axis point absorber WEC with different geometries and dimensions. The results show that the cylindrical and octagonal geometries produce more annual energy, and the arrow layout with thirty buoys performs the best in terms of energy production, levelized cost of energy, and net present value.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
