Article
Engineering, Civil
Conrad Wasko, Yawen Shao, Elisabeth Vogel, Louise Wilson, Q. J. Wang, Andrew Frost, Chantal Donnelly
Summary: Changes in the hydrologic cycle have significant impacts on agricultural productivity, water resources availability, and environmental management in Australia. While northern parts of Australia have experienced increasing rainfall and water availability, the southwest and southeast coast have seen declines in rainfall, affecting runoff and soil moisture. Standardised runoff index indicates increasing streamflow droughts across large parts of Australia.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Felipe Quintero, Nicolas Velasquez
Summary: This paper introduces the HLM-Tetis model structure and its improvements over the previous HLM model structure. By adding modules to simulate snow processes, improving flexibility in simulating infiltration and percolation, and enhancing flexibility in deriving total runoff, the model has been applied to flood events in five basins in Iowa where previous model structures had limitations.
Article
Water Resources
James E. Ball
Summary: The management of flood risk is a major challenge in urban areas, with reliable estimation of design flood dependent on catchment model calibration. This study aims to assess the accuracy of event modeling for continuous simulation of data for flood frequency analysis, concluding that a peak flow error of less than 10% is necessary for reliable design flood quantile estimates.
URBAN WATER JOURNAL
(2022)
Article
Water Resources
Katie E. Schneider, Terri S. Hogue
Summary: This study focuses on Alaska and hydrologically connected portions of Canada. Due to the rugged terrain and harsh conditions, observational hydroclimatic data, especially runoff data, are limited in most areas of Alaska. The researchers develop a calibration framework for a water budget model using a combination of reanalysis and remote sensing data. The model shows better performance in the moderate to dry areas of Alaska without glaciation and continuous permafrost. The simulated runoff trends in recent decades indicate increased runoff at lower latitudes and slightly decreased runoff at higher latitudes within the Alaskan domain. This study highlights the viability of using non-runoff data for model calibration in cold regions and emphasizes the importance of improving the characterization of hydroclimatic data for modeling studies.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Environmental Sciences
Xiaomang Liu, Kun Yang, Vagner G. Ferreira, Peng Bai
Summary: The traditional calibration strategy of hydrologic models based on runoff observations has limitations. This study used remote sensing ET and TWSC products to design calibration schemes, and found that multi-objective calibration using the combination of ET and TWSC products achieved better accuracy in runoff simulation.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Xiaoqin Zhang, Weimin Bao, Yiqun Sun
Summary: The study introduces the HSDR method for improving flood predictions, showing that it can enhance performance by updating rainfall and that the approach with stepwise approximation outperforms the one without iteration. Additionally, HSDR_SDP performs better when updating with enough observation data.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Wade T. Crow, Jianzhi Dong, Rolf H. Reichle
Summary: This study demonstrates the importance of the rank correlation between surface soil moisture and storm-scale runoff in calibrating streamflow estimates in ungauged basins. A new calibration approach based on L4_SM has been successfully developed to identify LSM configurations with high rank correlation with observed runoff coefficients.
WATER RESOURCES RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Abdulnoor A. J. Ghanim, Salmia Beddu, Teh Sabariah Binti Abd Manan, Saleh H. Al Yami, Muhammad Irfan, Salim Nasar Faraj Mursal, Nur Liyana Mohd Kamal, Daud Mohamad, Affiani Machmudah, Saba Yavari, Wan Hanna Melini Wan Mohtar, Amirrudin Ahmad, Nadiah Wan Rasdi, Taimur Khan
Summary: This study develops a simple conceptual model to simulate hydrological processes in arid environments and successfully predicts peak flow rates. The model, which requires inputs such as hourly rainfall, potential evapotranspiration, and streamflow records, is calibrated and analyzed using data from an arid catchment in Jordan. The model shows good fit with both observed and simulated data, indicating its potential for peak discharge prediction.
Article
Environmental Sciences
Thomas Grangeon, Rosalie Vandromme, Olivier Cerdan, Maria De Girolamo Anna, Antonio Lo Porto
Summary: Forests provide ecological and hydrological services, but forest fires can have negative impacts, requiring appropriate mitigation strategies. A study used a model to analyze the effects of forest fires and firebreaks on sediment loads. More research is needed to understand the global impacts of forest growth, fires, and firebreaks on sediment transfers in similar environments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Civil
Yuanhao Xu, Kairong Lin, Caihong Hu, Shuli Wang, Qiang Wu, Li Zhang, Guang Ran
Summary: There is a significant disparity in the distribution of flood observations and basin characteristics data. Transferring hydrological knowledge from data-rich to data-sparse basins has always been a challenge. This study proposes a Transfer Learning Framework based on Transformer (TL-Transformer) that can accurately predict flooding in data-sparse basins using models from data-rich basins.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Prasanth Valayamkunnath, David J. Gochis, Fei Chen, Michael Barlage, Kristie J. Franz
Summary: Subsurface tile drainage (TD) is a common practice in improving crop production in poorly drained soils, but there is a lack of understanding about its regional impact on hydrology. This study incorporated a TD scheme into the National Water Model (NWM) and found that it improved the model's performance in heavily tile-drained areas. The TD scheme increased streamflow peaks, volume, and baseflow, while reducing surface runoff, groundwater recharge, evapotranspiration, and soil moisture content. These findings highlight the importance of considering TD in hydrological models.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Vinh Ngoc Tran, Valeriy Y. Ivanov, Donghui Xu, Jongho Kim
Summary: A novel modeling framework combining high-fidelity process-based models, surrogate models, and machine learning models is developed to improve predictions in the presence of uncertainties and computational burdens. By integrating these different models, the framework allows for efficient and accurate streamflow prediction for urbanized watersheds.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Engineering, Civil
Hao Wang, Hui Qin, Guanjun Liu, Shuai Liu, Yuhua Qu, Kang Wang, Jianzhong Zhou
Summary: In this study, a structural paradigm for hydrological time series, namely the feature attention mechanism, is introduced to handle the entire feature space based on deep learning methods. The attention module significantly improves the learning and generalization ability, enhances noise resistance, and strengthens the robustness of the model compared with the traditional method. The rationality of the method is corroborated in hydrological feature discovery and time-series dependence extraction in a practical study of the upper Yangtze River Basin.
JOURNAL OF HYDROLOGY
(2023)
Review
Engineering, Civil
Farzad Piadeh, Kourosh Behzadian, Amir M. Alani
Summary: This paper provides a comprehensive review of the current state and future trends of real-time flood forecasting models in urban drainage systems. It suggests that further investigation should be conducted on the combination of various real-time rainfall measurements and the inclusion of other real-time data, as well as the development of artificial intelligence techniques.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Saimy Davis, Likhitha Pentakota, Nikita Saptarishy, Pradeep. P. Mujumdar
Summary: This study explores the application of a model coupling framework in predicting urban floods in Bangalore, India. By simulating extreme events using the WRF model and capturing the urban catchment response using the PCSWMM model, successful flood forecasts were made, highlighting the crucial role of high-resolution rainfall forecasts from the WRF model.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Juliana Mendes, Rodrigo Maia
METEOROLOGY AND ATMOSPHERIC PHYSICS
(2020)
Article
Environmental Sciences
Rodrigo Maia, Miguel Costa, Juliana Mendes
Summary: Drought is a destructive natural hazard on the Iberian Peninsula. Portugal and Spain are at different stages in drought planning and management. This paper aims to develop a joint drought management plan for Portuguese river basins through collaboration with Spain and proposes similar indicator definitions.