Articles | Volume 20, issue 4
https://doi.org/10.5194/nhess-20-1045-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-20-1045-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Preface: Advances in flood risk assessment and management
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Department of Civil Engineering, Bristol University, Bristol, UK
Dhruvesh Patel
Department of Civil Engineering, School of Technology, Pandit Deendayal Petroleum University, Gujarat, India
Dawei Han
Department of Civil Engineering, Bristol University, Bristol, UK
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We proposed a theoretical framework and conducted a laboratory experiment to understand the relationship between wind and the rainfall–runoff process in urban high-rise building areas. The runoff coefficient (relating the amount of runoff to the amount of precipitation received) found in the theoretical framework was close to that found in the laboratory experiment.
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Rainfall is a driving force that accounts for a large proportion of soil loss around the world. Most previous studies used a fixed rainfall–energy relationship to estimate rainfall energy, ignoring the spatial and temporal changes of raindrop microphysical processes. This study proposes a novel method for large-scale and long-term rainfall energy and rainfall erosivity investigations based on rainfall microphysical parameterization schemes in the Weather Research and Forecasting (WRF) model.
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Input errors and parameter errors are two main sources of uncertainties in hydrological model calibration. We developed a new Bayesian framework for automatic calibration of the Storm Water Management Model (SWMM), simultaneously considering parameter and input uncertainties and verified the framework with a case study. The results shows that calibration considering both parameter and input uncertainties captures peak flow much better that only considering parameter uncertainty.
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Soil moisture plays an important role in hydrological modelling. However, most existing in situ observation networks rarely provide sufficient coverage to capture soil moisture variations. Clearly, there is a need to develop a systematic approach, so that with the minimal number of sensors the soil moisture information could be captured accurately. In this study, a simple and low-data requirement method is proposed (WRF, PCA, CA), which can provide very efficient soil moisture estimations.
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Urban flooding exposure is generally investigated with the assumption of stationary disasters and disaster-hit bodies during an event, and thus it cannot satisfy the increasingly elaborate modeling and management of urban floods. In this study, a comprehensive method was proposed to simulate dynamic exposure to urban flooding considering human mobility. Several scenarios, including diverse flooding types and various responses of residents to flooding, were considered.
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Qi Chu, Zongxue Xu, Yiheng Chen, and Dawei Han
Hydrol. Earth Syst. Sci., 22, 3391–3407, https://doi.org/10.5194/hess-22-3391-2018, https://doi.org/10.5194/hess-22-3391-2018, 2018
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The effects of WRF domain configurations and spin-up time on rainfall were evaluated at high temporal and spatial scales for simulating an extreme sub-daily heavy rainfall (SDHR) event. Both objective verification metrics and subjective verification were used to identify the likely best set of the configurations. Results show that re-evaluation of these WRF settings is of great importance in improving the accuracy and reliability of the rainfall simulations in the regional SDHR applications.
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-36, https://doi.org/10.5194/hess-2018-36, 2018
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Lu Zhuo and Dawei Han
Hydrol. Earth Syst. Sci., 21, 3267–3285, https://doi.org/10.5194/hess-21-3267-2017, https://doi.org/10.5194/hess-21-3267-2017, 2017
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We explore unit hydrograph (UH) affected by geomorphology that could be used in ungauged catchments. Virtual catchments approach (VCA) is used instead of gauged catchments in runoff modelling. Catchment shape is newly introduced and the agreement of the results with the hydrological principles verifies the reliability of VCA. With the robust VCA, a large amount of catchments can be created with desirable features to explore a more comprehensive equation that can be used in ungauged catchments.
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Jorge A. Ramirez, Umamaheshwaran Rajasekar, Dhruvesh P. Patel, Tom J. Coulthard, and Margreth Keiler
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Kue Bum Kim, Hyun-Han Kwon, and Dawei Han
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A primary advantage of using model ensembles for climate change impact studies is to represent the uncertainties associated with models through the ensemble spread. Currently, most of the conventional bias correction methods adjust all the ensemble members to one reference observation. As a result, the ensemble spread is degraded during bias correction. However the proposed method is able to correct the bias and conform to the ensemble spread so that the ensemble information can be better used.
S. Ceola, B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione, and T. Wagener
Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, https://doi.org/10.5194/hess-19-2101-2015, 2015
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We present the outcomes of a collaborative hydrological experiment undertaken by five different international research groups in a virtual laboratory. Moving from the definition of accurate protocols, a rainfall-runoff model was independently applied by the research groups, which then engaged in a comparative discussion. The results revealed that sharing protocols and running the experiment within a controlled environment is fundamental for ensuring experiment repeatability and reproducibility.
J. Liu and D. Han
Hydrol. Earth Syst. Sci., 17, 3639–3659, https://doi.org/10.5194/hess-17-3639-2013, https://doi.org/10.5194/hess-17-3639-2013, 2013
J. Liu, M. Bray, and D. Han
Hydrol. Earth Syst. Sci., 17, 3095–3110, https://doi.org/10.5194/hess-17-3095-2013, https://doi.org/10.5194/hess-17-3095-2013, 2013
C. Prieto Sierra, E. García Alonso, R. Mínguez Solana, and R. Medina Santamaría
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-9309-2013, https://doi.org/10.5194/hessd-10-9309-2013, 2013
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