Article
Engineering, Civil
Thien Huy Truong Nguyen, Bree Bennett, Michael Leonard
Summary: Stochastic rainfall models are important for evaluating hydrological risks, but there are discrepancies between rainfall metrics and flow metrics. The performance of different models varies depending on the strictness of the flow-based comparison and the region analyzed.
JOURNAL OF HYDROLOGY
(2023)
Article
Construction & Building Technology
Tameem Mohammed Hashim, Mohammed Zuhear Al-Mulali, Fatimah Fahem Al-Khafaji, Ali Abdul Ameer Alwash, Yasar Ameer Ali
Summary: In this study, the behavior of different concrete block patterns under different rainfall intensities was investigated using an artificial rainfall simulator. The results showed that the stretcher bond pattern was effective in reducing surface runoff, while the herringbone patterns were effective in increasing the durability of roads.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Engineering, Civil
Gerhard Schoener, Mark C. Stone, Charles Thomas
Summary: In dryland watersheds, infiltration excess overland flow is the dominant mechanism for runoff generation. Rainfall-runoff models partition precipitation into loss and excess precipitation components, with many using simple loss models due to the complexity and uncertainty of more sophisticated models at larger spatial scales.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Icen Yoosefdoost, Abbas Khashei-Siuki, Hossein Tabari, Omolbani Mohammadrezapour
Summary: This study simulated input runoff to a dam reservoir in an arid region under changing climatic conditions using three data-mining algorithms and a conceptual model. The SVM model showed remarkable performance in runoff simulations compared to other models. The study also predicted a decrease in mean runoff input for the future period, highlighting the need for sustainable adaptation strategies.
WATER RESOURCES MANAGEMENT
(2022)
Article
Water Resources
A. L. Kay, M. J. Brown
Summary: In this study, a hydrological model is driven by observation-based hourly data and high-resolution climate model data to simulate river flows. The results show that the use of observation-based hourly data improves the accuracy of high flows and peak flow bias, but has little effect on low flows. The future changes in peak flows are slightly larger when driven by hourly climate model precipitation compared to equally-disaggregated daily data.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Engineering, Civil
Jianbo Liu, Yue Liang, Guangyao Gao, David Dunkerley, Bojie Fu
Summary: This study found that natural rainfall events exhibit strong intensity fluctuations, with most rainfall amount occurring in only about 27% of rainfall duration. The proposed rainfall intensity fluctuation indicators were significantly correlated with runoff, sediment concentration, and soil loss. Models considering rainfall intensity fluctuations performed better in predicting runoff, sediment concentration, and soil loss compared to models only considering general rainfall characteristics.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Mun-Ju Shin, Chung-Soo Kim
Summary: The study compared the performance of new models with original models and found that the IHACRES model's routing component is suitable for high-flow simulation in wet catchments, while the GR4J model's production and routing components are suitable for low-flow simulation in dry catchments. The routing component of the GR4J model improved both the low- and high-flow simulations of dry and wet catchments, respectively, while the effective rainfall production component enhanced the simulations of the intermediate catchment.
Article
Engineering, Civil
Chulsang Yoo, Eunsaem Cho, Wooyoung Na, Minseok Kang, Munseok Lee
Summary: This study proposes a method to consider high-rise buildings in rainfall-runoff analysis of urban basins. The research uses a model based on shot noise process to evaluate the roles of building rooftops and walls in runoff. Results show that building walls contribute significantly to increased runoff volume and peak flow compared to rooftops. Experimental and simulation results demonstrate the importance of building walls, especially in high wind speed conditions.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Jinkui Wu, Hongyuan Li, Jiaxin Zhou, Shuya Tai, Xueliang Wang
Summary: Research has shown that total runoff in the Upper Shule River in Northwest China has continued to increase due to increasing rainfall and glacier melting, with baseflow making the largest contribution. However, glacier and snow runoff contributions to total runoff are decreasing as glacier area decreases and temperatures rise.
Article
Environmental Sciences
Dapeng Feng, Jiangtao Liu, Kathryn Lawson, Chaopeng Shen
Summary: This paper introduces a differentiable and learnable process-based model (delta model) that approaches the performance level of purely data-driven deep learning models (such as LSTM) in predicting hydrologic variables. Experimental results show that the delta model performs similarly to LSTM in simulating variables like streamflow and can also output other untrained variables, such as soil and groundwater storage.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Peifeng Li, Jin Zhang, Peter Krebs
Summary: In this study, a rainfall-runoff model based on deep learning algorithms (CNN-LSTM) was proposed to directly compute runoff in watersheds. The model showed high efficiency in predicting runoff during both high-water and low-water periods, making it valuable for estimating water availability and flood alerts.
Article
Engineering, Civil
Koichi Unami, Rasha M. Fadhil, Osama Mohawesh
Summary: A new concept was developed to mathematically understand the dynamics of rainfall-runoff events in a barren catchment of the Jordan Rift Valley. The researchers used linear ARX models and fractional differential equations to model and analyze the relationship between rainfall and runoff.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Ishak Abdi, Mohamed Meddi
Summary: This study aimed to propose an event-based flood prediction model adapted to the northeastern region of Algeria, which found that the coupling of MMS models and the Nash model gave the best performance in reproducing flood hydrographs.
JOURNAL OF FLOOD RISK MANAGEMENT
(2021)
Article
Engineering, Civil
Keirnan J. A. Fowler, Gemma Coxon, Jim E. Freer, Wouter J. M. Knoben, Murray C. Peel, Thorsten Wagener, Andrew W. Western, Ross A. Woods, Lu Zhang
Summary: Removing the upper limit on simulated soil moisture deficit can improve the realism of rainfall-runoff models. The altered model shows better performance in tracking the decline in soil moisture at the end of dry periods, although further improvements may be needed to match long-term trends observed in data.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Najibullah Zafari, Ashok Sharma, Dimuth Navaratna, Varuni M. Jayasooriya, Craig McTaggart, Shobha Muthukumaran
Summary: Hydrological modelling was conducted to investigate the impact of climate change and land-use change at a catchment scale in the Painkalac catchment. The performance of three inbuilt conceptual models within eWater Source was compared. The results showed that the GR4J model was more suitable for predicting streamflow in this catchment. The study also revealed that climate change and land-use change would lead to a decrease in streamflow.
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)