Review
Nutrition & Dietetics
Radhouene Doggui, Hanin Al-Jawaldeh, Jalila El Ati, Rawhieh Barham, Lara Nasreddine, Nawal Alqaoud, Hassan Aguenaou, Laila El Ammari, Jana Jabbour, Ayoub Al-Jawaldeh
Summary: The Eastern Mediterranean Region is undergoing a nutrition transition, with both undernutrition and overnutrition issues. While overall nutrient energy intake was deemed satisfactory, high intake of fats and carbohydrates was noted, along with deficiencies in certain micronutrients.
Article
Agronomy
Qianan Yu, Yuanlai Cui, Huanhao Han, Bin Liao
Summary: The improved ORYZA model, which integrates an improved water-and-nitrogen balance module, performs well in simulating water consumption and nitrogen loss in paddy fields. The model was evaluated using observations from three rice planting areas in China, and the results showed good agreement between observed and simulated values in multiple indicators. The recommended water and nitrogen management mode based on the calibrated model significantly improves rainfall utilization efficiency, yield, and irrigation water productivity, while reducing irrigation frequency and nitrogen loss.
FIELD CROPS RESEARCH
(2023)
Article
Engineering, Environmental
Yong Wang, Yang Zhao, Yunyue Wang, Xuejiao Ma, He Bo, Jian Luo
Summary: Analyzing the water-energy-food (WEF) nexus through a Bayesian network (BN) model helps in understanding the risk factors and probabilities of resource shortages under various external influences in the Beijing-Tianjin-Hebei (BTH) region. The study found that the WEF supply-demand risk is influenced by both core and external factors, and the factors affecting the risk vary significantly over different development stages and scenarios, providing insights for early risk warning mechanisms.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Ecology
Xiaoyu Zhang, Duanyang Xu, Ziyu Wang, Yue Zhang
Summary: The study highlights the water shortage issue in arid regions and the need for balanced water use in the Alxa League. It predicts an increasing disparity between water supply and consumption in the region, with only water-saving-optimization scenarios able to provide excess water for ecological restoration. It emphasizes the importance of carefully choosing plantation sites, controlling the scale of ecological land, and implementing effective water-saving measures in industrial and agricultural production.
JOURNAL OF ARID ENVIRONMENTS
(2021)
Article
Environmental Sciences
Mohd Abul Hasan
Summary: This study assessed damage to the water distribution system in a metropolitan city after severe earthquakes and developed a priority strategy for rehabilitation, focusing on factors such as leakage damage, reliable water demand after earthquakes, and water distribution path length. System simulation based on Kameda's model was used to gather useful information on the behavior of the water supply system pre-and post-earthquake. Repair management was systematically applied to restore reliable water supply in the distribution path, with recommendations and priority repair established in a post-earthquake scenario based on a case study of Delhi, an important metropolitan city in Asia.
POLISH JOURNAL OF ENVIRONMENTAL STUDIES
(2021)
Article
Agronomy
Yin Zhao, Xiaomin Mao, Manoj K. Shukla, Sien Li, Zunqiu Xu, Liyuan Bo, Xi Huang, Yuting Bai, Xingchao Qi
Summary: The CropSMPAC model accurately simulates the dynamics of water, heat, and crop growth under plastic film mulching, making it a useful tool for irrigation water management and crop production.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Water Resources
Jamal H. Ougahi, Mark E. J. Cutler, Simon J. Cook
Summary: The study indicates that climate change will have significant impacts on water balance components in sub-basins of the Upper Indus Basin, particularly affecting seasonal river flows and having important implications for water supplies.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Geosciences, Multidisciplinary
Juan Camilo Gomez-Zapata, Nils Brinckmann, Sven Harig, Raquel Zafrir, Massimiliano Pittore, Fabrice Cotton, Andrey Babeyko
Summary: This study proposes the use of variable resolution boundaries based on central Voronoi tessellations (CVTs) to spatially aggregate building exposure models for risk assessment to various natural hazards. By analyzing earthquake and tsunami scenario-based risk estimates for Lima, it was found that earthquake loss models are insensitive to exposure resolution, while tsunami loss models depend on spatial correlations of hazard intensities and exposure model resolution. This research raises awareness about the uncertainties associated with the selection of fragility models and spatial aggregation entities for exposure modeling and loss mapping.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Matthew W. Hayward, Emily M. Lane, Colin N. Whittaker, Graham S. Leonard, William L. Power
Summary: Volcanogenic tsunami and wave hazard from subaqueous explosions are not well understood. This study simulates 20 scenarios of explosive eruptions under Lake Taupo, New Zealand, using a numerical method. It finds that significant waves require a minimum explosive size of 5.8x10(7) kg s(-1), or VEI 5 equivalent, and inundation is significant near the shore for the two largest sizes. The study also produces hydrographic output showing the impact of waves on the Waikato River inlet.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Review
Construction & Building Technology
Zixuan Chen, Ahmed W. A. Hammad
Summary: This paper provides a systematic literature review of mathematical and simulation modelling techniques applied to construction supply chain management. The findings suggest that mathematical modelling dominates current research in this field, and ten future research trends are proposed.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Operations Research & Management Science
Dmitry Ivanov
Summary: This study uses simulation analysis to examine the impacts of blackouts on supply chains, considering SC performance, resilience, and viability. The results reveal that blackouts are a special case of SC risks characterized by simultaneous shutdown of processes, disruption propagations, and the danger of viability losses. Simulation experiments show that factors such as power loss propagation, blackout duration, unavailability of supply and logistics, and unpredictable customer behavior determine the blackout impact and recovery strategies. The findings can aid decision-makers in predicting the operational and long-term impacts of blackouts on SCs and developing mitigation and recovery strategies.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Thermodynamics
Simon Li, Denering Berrio, Yanda Fang
Summary: The paper aims to develop a theoretical model for a non-mixing buffer tank system in hydronic heating applications. The non-mixing design, which includes a movable separation plate in the buffer tank, allows for separate storage of supply hot water and return cold water. Simulation results show that the non-mixing design achieves better system efficiency, boiler efficiency, and cycle period compared to the mixing design. Additionally, the non-mixing design offers better control of supply water temperature, supporting outdoor reset control of boilers.
Article
Engineering, Civil
Fahad Ejaz, Thomas Woehling, Marvin Hoege, Wolfgang Nowak
Summary: Excessive groundwater pumping poses a major threat to regions already suffering from overuse or climate change. Accurate predictions of long-term aquifer water balances are crucial for sustainable groundwater management. Lumped hydrological models, though mainly used for simulating river discharge, can be extended to include aquifer storage. In this study, a lumped geohydrological model (LGhM) is proposed and evaluated using groundwater storage and surface discharge data. The model shows promising predictive capabilities in long-term forecasts and extreme drought scenarios.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Jorge Espinha Marques, Lia Duarte, Miguel Queiros, Armindo Melo, Catarina Mansilha
Summary: Throughout history, the Drave mountain village in North Portugal has faced challenging hydrological conditions. This study examines the evolution of water demand and supply in Drave village from the 16th century to the present day, and proposes a possible solution for future water needs. The analysis reveals two historical periods in water demand and supply, with the current scenario relying on contaminated water resources to meet temporary residents' needs. A potential solution involves utilizing surface water during the wet season and exploiting stream alluvial deposits during the dry season.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Water Resources
Gebrekidan Worku Tefera, Yihun Taddele Dile, Raghavan Srinivasan, Tracy Baker, Ram L. Ray
Summary: This study investigates the water supply and demand situation in the capital city of Ethiopia, Addis Ababa, by integrating a hydrological model, socioeconomic data, and different water management scenarios. The results show a gap between water supply and demand, highlighting the need for additional water supply projects, effective water use, and the maintenance of critical hydrological ecosystem services.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Meteorology & Atmospheric Sciences
Katja Trachte, Jochen Seidel, Rafael Figueroa, Marco Otto, Joerg Bendix
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2018)
Article
Environmental Sciences
M. T. Bui, V. V. Kuzovlev, Y. N. Zhenikov, L. Fuereder, J. Seidel, M. Schletterer
RIVER RESEARCH AND APPLICATIONS
(2018)
Article
Engineering, Environmental
Manfred Schuetze, Maja Lange, Michael Pabst, Ulrich Haas
WATER SCIENCE AND TECHNOLOGY
(2018)
Article
Meteorology & Atmospheric Sciences
J. Bliefernicht, M. Waongo, S. Salack, J. Seidel, P. Laux, H. Kunstmann
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2019)
Review
Environmental Sciences
Larisa Tarasova, Ralf Merz, Andrea Kiss, Stefano Basso, Guenter Bloeschl, Bruno Merz, Alberto Viglione, Stefan Ploetner, Bjoern Guse, Andreas Schumann, Svenja Fischer, Bodo Ahrens, Faizan Anwar, Andras Bardossy, Philipp Buehler, Uwe Haberlandt, Heidi Kreibich, Amelie Krug, David Lun, Hannes Mueller-Thomy, Ross Pidoto, Cristina Primo, Jochen Seidel, Sergiy Vorogushyn, Luzie Wietzke
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2019)
Article
Engineering, Environmental
M. Schuetze, A. Wriege-Bechtold, T. Zinati, H. Soebke, I Wissmann, M. Schulz, S. Veser, J. Londong, M. Barjenbruch, J. Alex
WATER SCIENCE AND TECHNOLOGY
(2019)
Article
Environmental Sciences
Jochen Seidel, Katja Trachte, Johanna Orellana-Alvear, Rafael Figueroa, Rolando Celleri, Joerg Bendix, Ciro Fernandez, Christian Huggel
Article
Environmental Sciences
Andras Bardossy, Faizan Anwar, Jochen Seidel
Article
Water Resources
Maximilian Graf, Abbas El Hachem, Micha Eisele, Jochen Seidel, Christian Chwala, Harald Kunstmann, Andras Bardossy
Summary: The study focused on using opportunistic rainfall sensors in Germany, specifically in Rhineland-Palatinate and Reutlingen, to derive accurate rainfall maps through geostatistical interpolation. The results showed that datasets including information from opportunistic sensors performed the best, with interpolated rainfall maps matching reference rain gauges. While the daily country-wide scale showed good performance of the interpolated rainfall maps, the gauge-adjusted radar products were closer to the reference data.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Water Resources
Alina Motschmann, Claudia Teutsch, Christian Huggel, Jochen Seidel, Christian D. Leon, Randy Munoz, Jessica Sienel, Fabian Drenkhan, Wolfgang Weimer-Jehle
Summary: This study focuses on water resource changes in the Santa River basin in Peru. By developing an integrated model, the researchers analyze different trajectories of water availability in the future. The results show that mean annual water availability is projected to increase, but there will be a substantial decrease in dry season water availability. This highlights the importance of considering spatiotemporal scales in multi-scenario water balance models to support local decision-making, and emphasizes the need for improvements in water management and infrastructure.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Geosciences, Multidisciplinary
Abbas El Hachem, Jochen Seidel, Florian Imbery, Thomas Junghaenel, Andras Bardossy
Summary: Information about precipitation extremes is crucial for hydrological planning and design, but observed extremes may be inaccurate or false due to errors. This investigation presents a quality control method for observed extremes using space-time statistical methods, including a Box-Cox transformation and spatial variogram. Detected outliers are compared with radar and discharge observations to remove implausible extremes.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Andras Bardossy, Jochen Seidel, Abbas El Hachem
Summary: The study investigates the applicability of personal weather station data for spatial precipitation interpolation using indicator correlations and rank statistics. By selecting stations based on high precipitation indicators and examining their spatial pattern, the study achieves accurate interpolation of precipitation amounts.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Water Resources
Roni Penn, Manfred Schuetze, Alex Jens, Eran Friedler
URBAN WATER JOURNAL
(2018)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)