Article
Engineering, Environmental
Sabina Rakhimbekova, Denis M. O'Carroll, Clare E. Robinson
Summary: This study evaluates the prevalence of pollutant sediment traps in nearshore aquifers adjacent to large lakes and focuses on the enrichment, transport, and release of arsenic. Field data from six sites along the Laurentian Great Lakes indicate widespread enrichment of arsenic in oxic nearshore aquifers, while arsenic is more mobile in reducing aquifers.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Review
Environmental Sciences
Deepali Marghade, Girish Mehta, Sagar Shelare, Ganesh Jadhav, Keval Chandrakant Nikam
Summary: The presence of arsenic in Indian groundwater poses a significant threat to both the ecosystem and public health. This comprehensive review paper addresses the underlying causes of arsenic contamination and explores potential solutions, including the use of water purifiers and rainwater collection systems to improve water quality.
Article
Environmental Sciences
Ritusmita Goswami, Chandrashekhar Bhagat, Igo Lollen, Nikita Neog, Umesh B. Barache, Ritu Thakur, Jurgen Mahlknecht, Manish Kumar
Summary: In recent times, multi-metal co-contamination in groundwater has become a challenging environmental health issue globally. This study reveals the co-contamination of arsenic, chromium, and lead in pristine aquifers with relatively lower anthropogenic activities. The leaching of chromium from natural sources into groundwater is found to be caused by rock-water interaction. This finding suggests the need for precautionary investigations in other regions to prevent similar situations from arising.
Article
Environmental Sciences
Yiwen Zhu, Qingchun Yang, Hao Wang, Junwei Yang, Xunyu Zhang, Zijun Li, Jordi Delgado Martin
Summary: This study investigates the arsenic contamination in groundwater in the central Yinchuan basin. The results show that high levels of arsenic were found mainly in the northern and eastern areas along the Yellow river. The main sources of arsenic were the dissolution of arsenic-bearing minerals in sediment, irrigation water infiltration, and aquifer recharge from the Yellow river. The study also highlights the high health risk, especially the carcinogenic risk, associated with arsenic pollution in groundwater.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Majed Alsubih, Rachida El Morabet, Roohul Abad Khan, Nadeem Ahmad Khan, Mansour Ul Haq Khan, Sirajuddin Ahmed, Abdul Qadir, Fazlollah Changani
Summary: This study assessed the groundwater quality in three industrial areas in Delhi, India, and found that arsenic and heavy metal contamination levels were significant, rendering the water unfit for human consumption. Further research is needed to explore control measures to mitigate pollution and achieve sustainable management.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Samira Sheikhi, Zahra Faraji, Hassan Aslani
Summary: The study revealed severe arsenic contamination in rural areas of Hashtroud, Iran, affecting 1329 individuals and posing health risks, with hazard quotient exceeding EPA guidelines for adults and adolescents. Urgent management strategies are recommended to ensure water supply and health safety for local residents.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Fei Chai, Rui Zhang, Xiaobo Min, Zhihui Yang, Liyuan Chai, Feiping Zhao
Summary: In this study, nZVI was successfully anchored onto mussel-inspired polydopamine-coated cellulose nanocrystals to form CNCs-PDA-nZVI. CNCs-PDA-nZVI exhibited higher arsenic adsorption capacity and superior arsenic removal efficiency compared to pristine cellulose nanocrystals. The arsenic removal mechanisms of CNCs-PDA-nZVI involved adsorption-oxidation, coprecipitation, and inner-sphere complexation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
MD. Rokonuzzaman, Zh Ye, C. Wu, Wc Li
Summary: The occurrence of arsenic in groundwater and its accumulation in rice grains is a global health concern. This study found that utilizing alternate wetting and drying (AWD) irrigation with temporarily stored groundwater (TSG) can effectively reduce arsenic content in rice grains. The research also highlights the importance of irrigation management and rice variety selection in minimizing arsenic accumulation in rice grains.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Feifei Cao, Dan B. Kleja, Charlotta Tiberg, Jerker Jarsjo
Summary: This study highlights the lack of attention given to the mobilization and transport of arsenic from anthropogenic sources, leading to poor performance of risk assessment models. The findings suggest that the inconsistent interpretations in arsenic transport could be attributed to the disregarded heterogeneity of subsurface properties and laboratory-to-field scaling effects. The research emphasizes the importance of considering factors such as solid-liquid partition and hydraulic conductivity when assessing arsenic contamination.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Fan Feng, Yonghai Jiang, Yongfeng Jia, Xinying Lian, Changjian Shang, Meng Zhao
Summary: This study evaluated the potential release capacity of arsenic from sediment under high levels of exogenous organic matter (EOM) containing bioreactive and chemically reactive organic matters (OMs). The OMs showed high biological activities and certain bacteria were identified to participate in metabolic transformation using EOM. The reducing condition promoted the release of arsenic, iron, and manganese, but secondary iron precipitation led to a decline in arsenic release. EOM infiltration enhanced the releases of arsenic and manganese in aqueous conditions, posing a risk of groundwater pollution in specific sites.
ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Jie Chen, Tao Gong, Qian Hou, Jun Li, Longcheng Zhang, Donglin Zhao, Yongsong Luo, Dongdong Zheng, Tingshuai Li, Shengjun Sun, Zhengwei Cai, Qian Liu, Lisi Xie, Min Wu, Abdulmohsen Ali Alshehri, Xuping Sun
Summary: This study reports a novel electrocatalyst, Co@NC, with the ability to efficiently synthesize NH3 and high selectivity for NO3- reduction. Under the experimental conditions, Co@NC exhibits a high NH3 yield and excellent electrochemical stability.
CHEMICAL COMMUNICATIONS
(2022)
Article
Engineering, Environmental
Nassim Sohrabi, Nasrollah Kalantari, Vahab Amiri, Narottam Saha, Ronny Berndtsson, Prosun Bhattacharya, Arslan Ahmad
Summary: This study evaluated human health risks related to groundwater contamination with toxic elements in the Urmia aquifer using multivariate statistics and probabilistic risk estimation approaches. It found that arsenic (As) posed the most significant health risk, with potential non-carcinogenic effects. Mitigation measures are necessary to safeguard public health from the impacts of toxic element contamination.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Review
Environmental Sciences
Wei Zhang, Yoora Cho, Meththika Vithanage, Sabry M. Shaheen, Joerg Rinklebe, Daniel S. Alessi, Chia-Hung Hou, Yohey Hashimoto, Piumi Amasha Withana, Yong Sik Ok
Summary: Arsenic is a harmful contaminant in the environment, and biochar has been widely used as an adsorbent for removing arsenic from water and soils. Modified biochars have shown promise for enhanced arsenic adsorption, but further research is needed for improving their performance and application.
Article
Environmental Sciences
Li Zhao, Liangtong Zhan, Haihua Zhang, Yihao Zhang, Linbo Wu, Runze Zhao, Liangfeng Zheng, Guibao Zhang
Summary: This study developed a method for tracking groundwater pollution plumes at landfill sites, which was successfully applied to a typical landfill site and its downstream area. The method can identify different types and scales of groundwater pollution plumes and reveal their pollution sources.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Hossein Norouzi, Asghar Asghari Moghaddam
Summary: This study utilized multivariate statistical methods to determine the origin of arsenic and trace element anomalies through the analysis of hydrochemical results. Arsenic is primarily derived from the dissolution of local rocks and sediments, with the presence of volcanic mountains and igneous rocks being major contributing factors to the arsenic anomaly. Additionally, certain samples with arsenic anomalies may be attributed to anthropogenic factors such as pesticide use.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Ali Mehrabi, Reza Derakhshani, Faramarz Nilfouroushan, Jafar Rahnamarad, Mohammad Azarafza
Summary: Environmental monitoring of mining regions is crucial in preventing geohazards and ensuring sustainable exploitation. This study used satellite imagery and persistent scatterer interferometry (PSI) to monitor surface deformation in the Pabdana mining area over three time periods. The results showed a clear relationship between coal extraction progress and subsidence, with the subsidence rate varying temporally and spatially. The approach used in this study can be applied to other similar coal mining zones.
Article
Biodiversity Conservation
Behnam Abbasnejad, Ahmad Abbasnejad, Reza Derakhshani
Summary: The investigation of groundwater quality in the north of Jazmourian (Roudbar plain) revealed that some samples exceeded the WHO permissible limits for nitrate and fluoride content, posing potential health risks. The water quality was affected by the type of sediment and recharge rate, leading to variations in dissolved salt concentration and ion content. Based on the assessment, certain samples showed poor water quality and higher restrictions for irrigation.
HUMAN AND ECOLOGICAL RISK ASSESSMENT
(2023)
Article
Chemistry, Multidisciplinary
Yaser A. Nanehkaran, Zhu Licai, Jin Chengyong, Junde Chen, Sheraz Anwar, Mohammad Azarafza, Reza Derakhshani
Summary: This study conducted a comparative analysis to assess/predict the safety factor (F.S) of earth slopes using MLP, SVM, DT, and RF learning methods. The results showed that MLP provides the most accurate F.S predictions, followed by the SVM algorithm.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Mohammad Moghadari Poor, Mohammad Azarafza, Reza Derakhshani
Summary: Pressuremeter Test (PMT), Cone Penetration Test (CPT), and Standard Penetration Test (SPT) are key in-situ experiments for estimating the modulus of deformation and strength parameters of soils in coastal alluvium. They are also useful for onshore regions. Regression analysis is used to predict engineering properties from these tests. This study proposes formulas based on regression analysis for South Pars phase 14 coastal alluvium, providing fast and reliable data for Southwest Iran near the Persian Gulf.
Article
Chemistry, Multidisciplinary
Ali Mohammadi Nia, Ahmad Rashidi, Mohammad Mahdi Khatib, Seyed Morteza Mousavi, Majid Nemati, Shahram Shafieibafti, Reza Derakhshani
Summary: This study investigates the seismic hazards in the Alborz mountain range in northern Iran. Contrary to previous findings, it suggests that the seismic risk in northern Tehran might have been overestimated and needs to be re-evaluated.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Ahmed Cemiloglu, Licai Zhu, Sibel Arslan, Jinxia Xu, Xiaofeng Yuan, Mohammad Azarafza, Reza Derakhshani
Summary: This study developed a model for predicting the uniaxial compression strength (UCS) of limestone using the support vector machine (SVM) algorithm. The model showed good agreement with actual data and had a higher accuracy compared to traditional fitting curves.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Zahra Kamali, Hamid Nazari, Ahmad Rashidi, Mahmoud Reza Heyhat, Mohammad Mahdi Khatib, Reza Derakhshani
Summary: This study investigates the active tectonics, paleoseismicity, and seismic hazards of the Doroud Fault using satellite imagery, field investigations, excavations, and dating methods. The Doroud Fault is an important segment of the Main Recent Fault in the Zagros mountain range, known for its high seismic activity. The research provides detailed observations of the fault's kinematics and recent activity, as well as its slip rate and recurrence interval, making it a significant seismogenic fault in the region.
APPLIED SCIENCES-BASEL
(2023)
Article
Geosciences, Multidisciplinary
Ahmad Rashidi, Shahram Shafieibafti, Majid Nemati, Maryam Ezati, Ebrahim Gholami, Seyed Morteza Mousavi, Reza Derakhshani
Summary: This study investigates the structural characteristics and tectonic evolution model of the Khousf splay in the East Iran orogen. It was found that the splay is formed by multiple buckling phases and flexural slip plays a significant role in its formation. The presence of multi-plunging anticlines and synclines suggests the importance of deep fault movement.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Studies
Reza Derakhshani, Mojtaba Zaresefat, Vahid Nikpeyman, Amin GhasemiNejad, Shahram Shafieibafti, Ahmad Rashidi, Majid Nemati, Amir Raoof
Summary: This study proposes an artificial intelligence approach to assess watershed morphometry in the Makran subduction zones of South Iran and Pakistan. The approach integrates machine learning algorithms, including artificial neural networks (ANN), support vector regression (SVR), and multivariate linear regression (MLR), on a single platform. The results demonstrate high accuracy and the potential for utilizing the ANN algorithm in similar investigations.
Article
Geosciences, Multidisciplinary
Ahmad Rashidi, Majid Nemati, Shahram Shafieibafti, Shahrokh Pourbeyranvand, Reza Derakhshani, Carla Braitenberg
Summary: Field evidence, seismicity, and geodetic data are combined to study the tectonic evolution in the northern domain of the Western and Central Alborz ranges. The geometric-kinematic characteristics of active fault planes are analyzed to assess seismic hazards. The study reveals the presence of three active segments with reverse mechanisms and left-lateral strike-slip components, acting as boundaries in the tectonic stress domains in the region. The spatial distribution of faulting supports the understanding of geodynamic processes.
JOURNAL OF ASIAN EARTH SCIENCES
(2023)
Review
Chemistry, Analytical
Behzad Mirzaei, Hossein Nezamabadi-pour, Amir Raoof, Reza Derakhshani
Summary: Object detection and tracking are crucial in computer vision and visual surveillance, but detecting and tracking small objects poses significant challenges due to their subtle appearance and limited distinguishing features. This review explores existing methods, datasets, evaluation metrics, and future trends in small object detection and tracking.
Article
Geosciences, Multidisciplinary
Anis Khalifeh-Soltani, Seyed Ahmad Alavi, Mohammad Reza Ghassemi, Reza Derakhshani
Summary: Fault-related folds are geological structures that develop in compressional and extensional regimes and are important for understanding the stress and strain evolution of hydrocarbon reservoirs. Research has found that the fault slip gradient is lower in the fault-bend fold model compared to the fault-propagation fold model. The internal friction angle affects the degree of uplift and stress in the folds.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Construction & Building Technology
Seyedsaeid Ekraminia, Masoud Hajialilue Bonab, Saba Ghassemi, Reza Derakhshani
Summary: This study investigates the seismic response of a tunnel and its surrounding soil through shaking table tests. The results show that the tunnel significantly affects the response of the surrounding soil, with decreased acceleration at the tunnel invert and increased acceleration at the tunnel crown. The applied frequency also affects the recorded acceleration amplitude at the tunnel invert, and the presence of piles results in tunnel-induced soil deformation and maximum shear strain concentration near the tunnel crown.
Article
Geosciences, Multidisciplinary
Anis Khalifeh-Soltani, Seyed Ahmad Alavi, Mohammad Reza Ghassemi, Mehdi Ganjiani, Reza Derakhshani
Summary: This study explores the interplay among sliding, buckling, and bending in the formation of fault-related folds, and finds that sliding parallel to layering and faults, in conjunction with buckling, are the predominant mechanisms in fault-related folding.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Yaser A. Nanehkaran, Mohammad Azarafza, Tolga Pusatli, Masoud Hajialilue Bonab, Arash Esmatkhah Irani, Mehdi Kouhdarag, Junde Chen, Reza Derakhshani
Summary: In this study, a highly accurate deep learning-based predictive model was proposed to investigate the compressive strength of lightweight concrete. Through experimentation and testing, it was found that several variables, such as water, cement, water-cement ratio, and aggregate properties, significantly influenced the compressive strength. The model outperformed other machine learning methods and demonstrated high accuracy and predictability.
COMPUTERS AND CONCRETE
(2023)
