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Review
Engineering, Civil
Hanane Rhomad et al.
Summary: This article provides a bibliometric review of water quality modeling applications in the Atlantic region. A total of 1952 publications were analyzed, revealing that semi-empirical modeling frameworks, particularly SWAT, dominate the field. Most of the studies focused on watershed systems, with the United States being the primary region of interest. The article also discusses the characteristics, applications, and limitations of the models, and provides recommendations for future development.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Qingyu Li et al.
Summary: Oil shale can be heated to produce oil and shale gas, changing the physical and mechanical properties of rocks and increasing permeability. Experiments at different temperatures show that higher temperatures promote the release of anions and cations in aqueous solutions, changing the water quality. This research is important for understanding the impact of in situ oil shale exploitation on groundwater environments.
Article
Remote Sensing
Guoqing Zhou et al.
Summary: In order to understand the impact of storms on underwater topography, the morphological and structural changes of underwater terrain in Culebrita Island were analyzed. Three-dimensional terrain models were created using airborne bathymetry LiDAR data from NOAA at different time intervals. Four types of terrain feature attributes were analyzed to investigate terrestrial structure changes caused by storms. The variations in underwater topography at each time interval were discussed and dynamic changes in topography structure and topographic erosion deposition were observed. The deposition and erosion rates were analyzed, and it was found that deposition exceeded erosion from 2016 to 2018, while erosion exceeded deposition from 2018 to 2019, with a net volume change of +48794m(3) and a net volume change rate of +0.042m(3)(M-2)(-1). The investigation also revealed that the significant changes in deposition were mainly due to sediment carried by the storms.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Engineering, Geological
Shuyue Ma et al.
Summary: Underground coal mining causes significant damage to the ecological environment. Studying the ecological vulnerability of mining areas and the development characteristics of surface multi-hazards is crucial. Using D-InSAR technology, the deformation area of a coal mine was identified, showing that mining sequence controls the spatial evolution of the deformation areas. Historical images characterized surface fissures and landslides. Particle flow numerical simulation analysis revealed three stages in the subsidence-fissure-landslide hazard chain, with fissures playing a crucial role.
Article
Engineering, Environmental
Hossein Moayedi et al.
Summary: In recent decades, efficient and accurate optimization approaches have been used to evaluate groundwater quality. Hybrid models, such as the combination of Artificial Neural Networks (ANN) and optimization meta-heuristic approaches like Grey Wolf Optimizer (GWO), Harris Hawks Optimization (HHO), and Artificial Bee Colony (ABC), have shown to be effective in modeling water resource management processes. These models provide more accurate outcomes compared to conventional methods.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Engineering, Environmental
Sunil Saha et al.
Summary: Drought is a major barrier to socio-economic development, and drought vulnerability modelling is important to manage and reduce its impact. This study proposed the use of ensemble machine learning techniques to assess drought vulnerability maps for Odisha in India. The results showed that approximately 37.9% of the region exhibited high vulnerability to drought.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Green & Sustainable Science & Technology
Rana Muhammad Adnan Ikram et al.
Summary: Landslide susceptibility is an essential tool for managing and planning human settlements in order to mitigate/prevent the risks of landslides. In this paper, the SCE and VSA algorithms were used to optimize the artificial neural network (ANN) model for generating landslide susceptibility maps in the Kurdistan province of Iran. The results showed that the VSA-ANN model had better predictive capability and optimization of the ANN model structure and computational parameters compared to the SCE-ANN model.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Geography, Physical
Suhua Gong et al.
Summary: This study established a dataset to study the major dissolved ions and their total fluxes in riverine transport at a global scale from 1980 to 2020. The results showed an increase in the total amount of riverine transport during this period, with alkalinity, Ca2+, and SO42- being the major components. In addition, the transport increased significantly in certain areas, especially between 30° N and 30° S.
GLOBAL AND PLANETARY CHANGE
(2023)
Article
Engineering, Civil
Dongdong Qiu et al.
Summary: Excessive water use in arid inland river basins leads to drying up of lower reaches. Water allocation and ecological water delivery are widely used management strategies in arid regions. This study investigates the impact of artificial water delivery on water use strategies of dominant species in the terminal lake area. Results show that ecological water delivery and soil water formed by water delivery are the main water sources for plants, and water use strategies vary with distance from the water source. Understanding these adaptation mechanisms can help guide rational water resource use and ecological construction.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Ocean
Shengjie Rui et al.
Summary: To reduce risks in mooring systems, it is necessary to predict the shape of three-dimensional seabed trenches. This study proposes a three-dimensional mooring line-seabed dynamics model to consider lateral movement of the mooring line in the soil, and develops a seabed trenching model based on field data to simplify three-dimensional trench profiles. By combining these models, a novel method for predicting three-dimensional trench profiles is established, reducing risks in the operation of mooring systems.
APPLIED OCEAN RESEARCH
(2023)
Article
Engineering, Environmental
Vida Atashi et al.
Summary: Due to advancements in optimization technology, numerous variable-parameter Muskingum models have been proposed aiming at enhancing the effectiveness of the Muskingum model. However, a knowledge gap exists in understanding the implications of incorporating spatial variations and lateral inflow considerations into the Muskingum model, as well as the performance and applicability of different sub-reach configurations, calling for further research in river flood routing. The proposed novel approach using a spatial variable exponent parameter nonlinear Muskingum model with lateral inflow considerations achieves better performance than previous methods in case studies, suggesting the importance of considering spatial variations and lateral inflow in river flood routing.
ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL
(2023)
Article
Environmental Studies
Lirong Yin et al.
Summary: In this study, a lake boundary change prediction model combining U-Net and LSTM is proposed to improve the accuracy and robustness of the model by capturing spatial and temporal nuances. Experimental results show that the model achieves a prediction accuracy of 89.43% for lake boundary changes, and outperforms existing models in terms of accuracy and mean square error.
Article
Environmental Sciences
Hossein Moayedi et al.
Summary: This research optimized an artificial neural network (ANN) using the backtracking search algorithm (BSA) and the Cuckoo optimization algorithm (COA) to predict landslide susceptibility mapping (LSM). The BSA-ANN model performed better in optimizing the structure and computational parameters of the ANN model compared to the COA-ANN model. The collected landslide susceptibility maps are significant for understanding the level of landslide hazard in the studied area.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Engineering, Multidisciplinary
Karim Sherif Mostafa Hassan Ibrahim et al.
Summary: Artificial Intelligence has been widely applied and researched in the field of hydrology, leading to the development of hybrid models with optimization techniques. This review paper categorizes and studies AI models and optimization techniques, summarizing their advantages and disadvantages. The focus of the research is the forecasting of streamflows, and future recommendations and conclusions are provided.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Ecology
Xiaoyi Wang et al.
Summary: The realized range limit of trees in the Himalaya varies due to temperature and anthropogenic factors. While trees have reached their thermal treeline in the eastern region, they are absent in the western and central regions. Predictions indicate that trees will migrate upslope by the end of the twenty-first century, leading to a loss of habitats for the endemic flora.
NATURE ECOLOGY & EVOLUTION
(2022)
Article
Geosciences, Multidisciplinary
Jing Luo et al.
Summary: This study investigated the changes in thermokarst lakes on the Qinghai-Tibet Plateau using high spatial resolution images. The results showed a significant increase in the number and surface area of thermokarst lakes over the last fifty years, with variations in change among different landform types. The increase in small lakes and expansion of large lakes were the main changes observed, while lake drainage occurred in some gentle slope areas. Climate warming and increased precipitation were identified as the most likely factors driving these changes.
Article
Engineering, Civil
Hossein Moayedi et al.
Summary: This study proposes and evaluates four optimized artificial neural networks (ICA, IWO, PSO, and LCA) to determine the bearing capacity of driven piles deployed in cohesionless soils. The IWO-MLP model shows high reliability and can be considered as an innovative model in deep foundation engineering.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Geosciences, Multidisciplinary
Guofeng Zhu et al.
Summary: The stable isotope hydrology observation system in the Shiyang River basin provides important data for studying environmental change and the water cycle in arid areas, contributing to the utilization of water resources and the restoration of the ecological environment.
EARTH SYSTEM SCIENCE DATA
(2022)
Review
Environmental Sciences
Yuhan Guo et al.
Summary: This study critically reviews the decadal progress in the regionalization of hydrological modeling related to PUB from 2000 to 2019, finding an increase in journal publications and expansion of research countries. Regionalization methods are grouped into similarity-based, regression-based, and hydrological signature-based categories, with detailed research focusing on interdisciplinary improvements.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2021)
Article
Geochemistry & Geophysics
Mao-Yong He et al.
Summary: The study investigated the Li contents and delta Li-7 values in loess deposits to understand pedogenic processes, showing that variations in [Li](leachate) and delta Li-7(leachate) can trace soil water migration processes and the magnitude of pedogenic processes in loess-paleosol sediment at different periods.
GEOCHIMICA ET COSMOCHIMICA ACTA
(2021)
Article
Environmental Sciences
Cheng Gao et al.
Summary: The study established a joint distribution function of rainfall and tide levels using copula functions, constructed a risk probability model to evaluate flood and tidal risks, and found that the probability of simultaneous occurrence was significantly lower when design criteria were similar.
Article
Geosciences, Multidisciplinary
Binh Thai Pham et al.
Summary: Enhancing accuracy in flood prediction and mapping is essential for minimizing flood damage. This study introduced and validated three ensemble models utilizing BFT, with the Decorate-BFT model showing superior performance in predicting flood susceptibility.
GEOSCIENCE FRONTIERS
(2021)
Article
Ecology
Tran Thi Tuyen et al.
Summary: Ensemble models combining LWL algorithm with CG, Bagging, Decorate, and Dagging techniques were used to predict forest fire susceptibility in Pu Mat National Park, Vietnam, with CG-LWL and Bagging-LWL models showing the highest training performance. These models enhance researchers' understanding of model building processes and can be applied to predict other natural hazards by considering local geo-environmental factors.
ECOLOGICAL INFORMATICS
(2021)
Article
Green & Sustainable Science & Technology
Rana Muhammad Adnan et al.
Summary: The study developed advanced computational models for streamflow forecasting, combining LWL algorithm with ensemble techniques. Incorporating periodicity and cross-validation techniques improved model performance, with dataset M3 providing the most accurate results. The ensemble LWL-AR model outperformed other models, highlighting the robustness of ensemble modeling approach for streamflow forecasting.
Article
Engineering, Civil
Lingling Ni et al.
JOURNAL OF HYDROLOGY
(2020)
Article
Meteorology & Atmospheric Sciences
Jun Li et al.
JOURNAL OF HYDROMETEOROLOGY
(2020)
Article
Chemistry, Multidisciplinary
Viet-Ha Nhu et al.
APPLIED SCIENCES-BASEL
(2020)
Article
Chemistry, Multidisciplinary
Quoc Cuong Tran et al.
APPLIED SCIENCES-BASEL
(2020)
Article
Geosciences, Multidisciplinary
Binh Thai Pham et al.
Article
Engineering, Civil
Zaher Mundher Yaseen et al.
JOURNAL OF HYDROLOGY
(2019)
Article
Multidisciplinary Sciences
Guenter Bloeschl et al.
Article
Engineering, Civil
Janaki Ballav Swain et al.
JOURNAL OF HYDROLOGY
(2017)
Article
Engineering, Civil
Zaher Mundher Yaseen et al.
JOURNAL OF HYDROLOGY
(2017)
Article
Meteorology & Atmospheric Sciences
KE Taylor
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2001)
Article
Engineering, Civil
T Moramarco et al.
JOURNAL OF HYDROLOGIC ENGINEERING
(2001)
