Article
Meteorology & Atmospheric Sciences
Li Liu, Huimin Bai, Guolin Feng, Zhiqiang Gong, Botao Zhou
Summary: Assessing the capability of sub-seasonal rainfall forecast of dynamic model and proposing correction method is an important topic in climate research. The sub-seasonal forecast ability of ECMWF model for the main rainy-season rainfall in eastern China is evaluated, and a rainy day-based correction (RDC) method is proposed to reduce the forecast biases. The RDC method shows good performance in improving the sub-seasonal forecast of rainy days and maximum continuous rainy days, and can be applied to correct forecast errors in other models.
Article
Geosciences, Multidisciplinary
Yunji Zhang, Huizhen Yu, Murong Zhang, Yawen Yang, Zhiyong Meng
Summary: This study explores the controlling factors of uncertainties and error growth in forecasting extreme heavy rainfall events in Zhengzhou, China. The results show that the strength of atmospheric systems, such as low-pressure systems and jet streams, determines the amount of rainfall. The study also finds that the predictability of these events is limited and that convective activities play a critical role in error growth.
SCIENCE CHINA-EARTH SCIENCES
(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
Environmental Sciences
Xue Li, Yangbo Chen, Xincui Deng, Yueyuan Zhang, Lingfang Chen
Summary: This study compares the hydrological utility of the Global Precipitation Measurement Integrated Multisatellite Retrieval products in a mountainous region in southern China through two scenarios, showing the potential of the final run product for hydrological modeling in areas with scarce information.
Article
Engineering, Civil
Suiling Wang, Zhiqiang Jiang, Hairong Zhang
Summary: In this study, three models, namely long and short-term memory neural network model (LSTM), gaussian process regression model (GPR), and support vector machine regression model (SVR), are used to forecast the relative errors of runoff forecast under different scenarios. A multi-model coupled runoff forecast correction method considering forecast error and forecast scenario is proposed. The results show that the application effect of SVR and LSTM is better than GPR in the forecast scenarios. The LSTM model has the highest accuracy of forecast correction in the scenario set of 24 forecast scenarios.
WATER RESOURCES MANAGEMENT
(2022)
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
Miranti Indri Hastuti, Ki-Hong Min
Summary: This study introduces a look-up-table observation error inflation method for assimilating all-sky radiance data from the GEO-KOMPSAT-2A geostationary satellite. The impact of this method is compared with the linear function approach and demonstrated to improve the data assimilation results.
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
Environmental Sciences
Pakorn Ditthakit, Sirimon Pinthong, Nureehan Salaeh, Fadilah Binnui, Laksanara Khwanchum, Alban Kuriqi, Khaled Mohamed Khedher, Quoc Bao Pham
Summary: This study evaluates the performance of the GR2M model in simulating monthly hydrological rainfall-runoff in the southern basins of Thailand. The model calibration and verification results show its reliability for estimating monthly runoff variations in the region using data from 37 runoff stations. The spatial distribution of production store and groundwater exchange rate values using the IDW method indicates the model's sensitivity to certain parameter values, influencing its overall performance.
Article
Environmental Sciences
Sanghyup Lee, Yeonjeong Seong, Younghun Jung
Summary: Recently, abnormal natural phenomena caused by climate change have been observed. Inadequate water resource management, which is related to human activities, can also be a contributing factor. Accurate rainfall estimation and prediction are crucial to prevent and mitigate damages caused by flooding. However, uncertainties often hinder accurate rainfall forecasting. This study aims to enhance reliability and improve prediction by investigating the uncertainty of Korean rainfall ensemble prediction data and runoff analysis model.
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
Green & Sustainable Science & Technology
Yan Zhou, Zhongmin Liang, Binquan Li, Yixin Huang, Kai Wang, Yiming Hu
Summary: This study introduces a new statistical rainfall-runoff model (SRR) that combines exponential difference distribution (EDD) and stochastic differential equation to deal with rainfall spatial variability and flow routing. The results suggest that the SRR model outperforms traditional models in describing rainfall spatial variability and simulation accuracy.
Article
Geosciences, Multidisciplinary
Jian Rao, Chaim I. I. Garfinkel, Tongwen Wu, Jing-Jia Luo, Yixiong Lu, Min Chu, Qian Lu
Summary: The prediction of regional precipitation anomalies in East Asia is more difficult for seasonal forecasting models than for the large-scale drivers of these anomalies. These large-scale drivers include sea surface temperature anomalies and conditions in the polar stratosphere. A maximum covariance analysis is used to identify the patterns of sea surface temperature and stratospheric circulation that are most associated with abnormal precipitation in East Asia, and these patterns are used to correct seasonal forecasts. The correction of seasonal forecasts using the observed linkage between stratosphere-tropical ocean modes and East Asian rainfall improves the nonuniform predictability of rainfall in East Asia.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Mathematics
Lloyd Ling, Zulkifli Yusop, Joan Lucille Ling
Summary: This article reassesses the effectiveness of the SCS Curve Number (CN0.2) runoff model and performs model calibration using inferential statistics. Results show that the uncalibrated SCS model underestimates runoff amounts for rainfall depths less than 70 mm, while overpredicting in larger storm events. The study highlights the importance of validating the SCS model with rainfall-runoff datasets before its application for runoff prediction.
Article
Engineering, Civil
R. W. Dudley, R. M. Hirsch, S. A. Archfield, A. G. Blum, B. Renard
JOURNAL OF HYDROLOGY
(2020)
Editorial Material
Water Resources
Kolbjorn Engeland, Knut Alfredsen
HYDROLOGY RESEARCH
(2020)
Article
Meteorology & Atmospheric Sciences
Trine J. Hegdahl, Kolbjorn Engeland, Malte Mueller, Jana Sillmann
JOURNAL OF HYDROMETEOROLOGY
(2020)
Article
Geosciences, Multidisciplinary
Jorge Sicacha-Parada, Ingelin Steinsland, Benjamin Cretois, Jan Borgelt
Summary: This paper proposes a modeling approach to account for the impact of accessibility on varying sampling effort, using a case study of moose occurrence in Hedmark, Norway from citizen science data. The study reveals considerable biases in estimates for the effect of radiation on moose occurrence when accessibility is not considered in the model.
SPATIAL STATISTICS
(2021)
Article
Geosciences, Multidisciplinary
Fanny Ekblom Johansson, Jostein Bakke, Eivind Nagel Storen, Oyvind Paasche, Kolbjorn Engeland, Fabien Arnaud
FRONTIERS IN EARTH SCIENCE
(2020)
Article
Environmental Sciences
E. Perret, B. Renard, J. Le Coz
Summary: A model accounting for transient changes due to vegetation was developed to manage stage-discharge relations at hydrometric stations affected by seasonal aquatic vegetation. The model estimates parameters and uncertainty through Bayesian inference and allows the use of qualitative observations on the plant growth state for validation. The case study showed significant improvements in predicting water discharge compared to a standard model with no vegetation module.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Jerome Le Coz, Benjamin Renard, Vincent Vansuyt, Magali Jodeau, Alexandre Hauet
Summary: The development of video-based hydrometry requires orthorectification of images to ensure each pixel has the same physical size. Implicit and explicit calibration methods are commonly used to compute the coefficients of the transformation, which are beneficial in obtaining precise estimates.
HYDROLOGICAL PROCESSES
(2021)
Article
Statistics & Probability
Thea Roksvag, Ingelin Steinsland, Kolbjorn Engeland
Summary: Using a Bayesian geostatistical model, runoff can be estimated by interpolating hydrological data with different spatial support. This approach quantifies spatial variability caused by long-term weather patterns and processes. Combining point and areal data yields better results than using only one data type, and climatic effects dominating over annual effects can lead to systematic under- or overestimation of runoff over time.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
(2021)
Article
Environmental Sciences
M. Darienzo, B. Renard, J. Le Coz, M. Lang
Summary: The method proposed in the study utilizes a Bayesian framework and recursive segmentation to estimate shift times in stage-discharge rating curves, effectively separating observational changes from rating curve uncertainties.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Ivan Horner, Jerome Le Coz, Benjamin Renard, Flora Branger, Mickael Lagouy
Summary: Streamflow data measured at hydrometric stations are influenced by uncertainty in water level measurements, which increases as the sensitivity of the stage-discharge controls decreases. The study demonstrates the importance of control sensitivity in reducing the uncertainty of streamflow, especially for low flows. Quantifying this uncertainty component is crucial for optimizing hydrometric station design.
HYDROLOGICAL PROCESSES
(2022)
Article
Water Resources
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This paper presents a simplified sensitivity analysis approach using the Taguchi design and ANOVA technique in 2D hydrodynamic flood simulations. The results suggest that this method is effective in ranking influencing parameters, quantifying their contribution to output variability, and exploring possible interactions between input parameters. Precipitation intensity was identified as the dominant parameter, highlighting the importance of this factor in flood simulations.
HYDROLOGY RESEARCH
(2021)
Article
Environmental Sciences
B. Renard, M. Thyer, D. McInerney, D. Kavetski, M. Leonard, S. Westra
Summary: This paper presents a Bayesian hierarchical framework for risk assessment of climate-sensitive systems. It models the joint distribution of multiple spatially distributed variables and their temporal variability by using hidden climate indices (HCIs) and Gaussian processes. The flexibility of the framework is demonstrated in a case study in Southeast Australia, which accurately reproduces intervariable and intersite dependencies.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Emeline Perret, Benoit Camenen, Celine Berni, Kamal El Kadi Abderrezzak, Benjamin Renard
Summary: Our data indicates significant variation in the critical Shields stress values for initial sediment motion. The dispersal is mainly caused by differences in the methodological procedures for determining the onset of movement and the estimation of bed shear stress. The threshold for sediment motion is influenced by factors such as grain size, bed composition, arrangement, and slope. New models are proposed to estimate the critical Shields number, incorporating grain size, bed slope, or both. The best results are obtained with a four-parameter model based on grain size and bed slope, but there is still considerable model uncertainty, suggesting the need for additional input parameters.
JOURNAL OF HYDRAULIC ENGINEERING
(2023)
Article
Water Resources
Michel Lang, Matteo Darienzo, Jerome Le Coz, Benjamin Renard
Summary: A diagnosis of the safety of dikes from floods along the River Rhine downstream of Strasbourg was conducted by INRAE on behalf of DREAL Grand-Est. The flood discharge uncertainties of two long series in Basel and Maxau were analyzed using the BaRatin model. Statistical tests revealed heterogeneities in both series, which were partly caused by hydraulic developments on the Rhine in the past two centuries. The corrected series showed better quality, but there was still a step-change around 1966-1976 in Basel and Maxau, possibly due to a change in the climate circulation regime in Central Europe since the 1970s.
LHB-HYDROSCIENCE JOURNAL
(2022)
Article
Geosciences, Multidisciplinary
Kolbjorn Engeland, Anna Aano, Ida Steffensen, Eivind Storen, Oyvind Paasche
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2020)
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)