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Journal articles on the topic 'LISFLOOD'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Wachter, Karl. "Das Niederschlags-Abfluss-Modell LISFLOOD." WASSERWIRTSCHAFT 97, no. 11 (2007): 27–30. http://dx.doi.org/10.1007/bf03241438.

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2

Shaw, James, Georges Kesserwani, Jeffrey Neal, Paul Bates, and Mohammad Kazem Sharifian. "LISFLOOD-FP 8.0: the new discontinuous Galerkin shallow-water solver for multi-core CPUs and GPUs." Geoscientific Model Development 14, no. 6 (2021): 3577–602. http://dx.doi.org/10.5194/gmd-14-3577-2021.

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Abstract. LISFLOOD-FP 8.0 includes second-order discontinuous Galerkin (DG2) and first-order finite-volume (FV1) solvers of the two-dimensional shallow-water equations for modelling a wide range of flows, including rapidly propagating, supercritical flows, shock waves or flows over very smooth surfaces. The solvers are parallelised on multi-core CPU and Nvidia GPU architectures and run existing LISFLOOD-FP modelling scenarios without modification. These new, fully two-dimensional solvers are available alongside the existing local inertia solver (called ACC), which is optimised for multi-core C

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3

Choi, Cheon-Kyu, Yun-Seok Choi, and Kyung-Tak Kim. "Analysis of Flood Inundation Using LiDAR and LISFLOOD Model." Journal of the Korean Association of Geographic Information Studies 16, no. 4 (2013): 1–15. http://dx.doi.org/10.11108/kagis.2013.16.4.001.

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4

Wu, Xushu, Zhaoli Wang, Shenglian Guo, Chengguang Lai, and Xiaohong Chen. "A simplified approach for flood modeling in urban environments." Hydrology Research 49, no. 6 (2018): 1804–16. http://dx.doi.org/10.2166/nh.2018.149.

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Abstract A rapid increase in the risk of urban flooding in recent years has urged the research community to enrich approaches to deal with urban flooding problems. The state-of-the-art approach consists of coupling one-dimensional (1D) and two-dimensional (2D) hydrodynamic models. However, at present such coupled 1D/2D models are mostly commercial and complex to build and run. The present study has proposed a new simple approach for modeling urban flooding by coupling Storm Water Management Model (SWMM) and LISFLOOD-FP, two widely used freewares with relatively simple components. The coupled m

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5

Choi, Cheon Kyu, Yun Seok Choi, and Kyung Tak Kim. "Comparison and Evaluation of the Inundation Areas by Levee Breaching using LISFLOOD." Journal of Wetlands Research 16, no. 3 (2014): 383–92. http://dx.doi.org/10.17663/jwr.2014.16.3.383.

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6

Chaabani, Chayma, Marco Chini, Riadh Abdelfattah, Renaud Hostache, and Karem Chokmani. "Flood Mapping in a Complex Environment Using Bistatic TanDEM-X/TerraSAR-X InSAR Coherence." Remote Sensing 10, no. 12 (2018): 1873. http://dx.doi.org/10.3390/rs10121873.

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In this paper, we assess the flood mapping capabilities of the X-band Synthetic Aperture Radar (SAR) imagery acquired by the bistatic pair TanDEM-X/TerraSAR-X (TDX/TSX). The main objective is to investigate the added value of the bistatic TDX/TSX Interferometric Synthetic Aperture Radar (InSAR) coherence in addition to the SAR backscatter in the context of inundation mapping. As a classifier, we consider a Random Forest (RF) classification scheme using TDX/TSX SAR intensities and their bistatic InSAR coherence to extract the flood extent map. To evaluate the classification results and as no “g

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7

Shustikova, Iuliia, Jeffrey C. Neal, Alessio Domeneghetti, Paul D. Bates, Sergiy Vorogushyn, and Attilio Castellarin. "Levee Breaching: A New Extension to the LISFLOOD-FP Model." Water 12, no. 4 (2020): 942. http://dx.doi.org/10.3390/w12040942.

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Levee failures due to floods often cause considerable economic damage and life losses in inundated dike-protected areas, and significantly change flood hazard upstream and downstream the breach location during the event. We present a new extension for the LISFLOOD-FP hydrodynamic model which allows levee breaching along embankments in fully two-dimensional (2D) mode. Our extension allows for breach simulations in 2D structured grid hydrodynamic models at different scales and for different hydraulic loads in a computationally efficient manner. A series of tests performed on synthetic and histor

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8

De Roo, A. P. J., C. G. Wesseling, and W. P. A. Van Deursen. "Physically based river basin modelling within a GIS: the LISFLOOD model." Hydrological Processes 14, no. 11-12 (2000): 1981–92. http://dx.doi.org/10.1002/1099-1085(20000815/30)14:11/12<1981::aid-hyp49>3.0.co;2-f.

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9

Jeon, Ho-Seong, Ji-sung Kim, Kyu-ho Kim, and il Hong. "Application of the LISFLOOD-FP model for flood stage prediction on the lower mankyung river." Journal of Korea Water Resources Association 49, no. 6 (2016): 459–67. http://dx.doi.org/10.3741/jkwra.2016.49.6.459.

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10

Sosa, Jeison, Christopher Sampson, Andrew Smith, Jeffrey Neal, and Paul Bates. "A toolbox to quickly prepare flood inundation models for LISFLOOD-FP simulations." Environmental Modelling & Software 123 (January 2020): 104561. http://dx.doi.org/10.1016/j.envsoft.2019.104561.

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11

MO, XINGGUO, FLORIAN PAPPENBERGER, KEITH BEVEN, SUXIA LIU, AD DE ROO, and ZHONGHUI LIN. "Parameter conditioning and prediction uncertainties of the LISFLOOD-WB distributed hydrological model." Hydrological Sciences Journal 51, no. 1 (2006): 45–65. http://dx.doi.org/10.1623/hysj.51.1.45.

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12

Shustikova, Iuliia, Alessio Domeneghetti, Jeffrey C. Neal, Paul Bates, and Attilio Castellarin. "Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography." Hydrological Sciences Journal 64, no. 14 (2019): 1769–82. http://dx.doi.org/10.1080/02626667.2019.1671982.

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13

Ramirez, Jorge Alberto, Andreas Paul Zischg, Stefan Schürmann, et al. "Modeling the geomorphic response to early river engineering works using CAESAR-Lisflood." Anthropocene 32 (December 2020): 100266. http://dx.doi.org/10.1016/j.ancene.2020.100266.

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14

O'Loughlin, F. E., J. Neal, G. J. P. Schumann, E. Beighley, and P. D. Bates. "A LISFLOOD-FP hydraulic model of the middle reach of the Congo." Journal of Hydrology 580 (January 2020): 124203. http://dx.doi.org/10.1016/j.jhydrol.2019.124203.

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15

Fernandez, Paulo, Sandra Mourato, and Madalena Moreira. "Comparação dos modelos HEC-RAS e LISFLOOD-FP na delimitação de zonas inundáveis." Revista Recursos Hídricos 34, no. 1 (2013): 63–73. http://dx.doi.org/10.5894/rh34n1-5.

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16

Pappenberger, F., K. J. Beven, N. M. Hunter, et al. "Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS)." Hydrology and Earth System Sciences 9, no. 4 (2005): 381–93. http://dx.doi.org/10.5194/hess-9-381-2005.

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Abstract. The political pressure on the scientific community to provide medium to long term flood forecasts has increased in the light of recent flooding events in Europe. Such demands can be met by a system consisting of three different model components (weather forecast, rainfall-runoff forecast and flood inundation forecast) which are all liable to considerable uncertainty in the input, output and model parameters. Thus, an understanding of cascaded uncertainties is a necessary requirement to provide robust predictions. In this paper, 10-day ahead rainfall forecasts, consisting of one deter

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17

Feyen, Luc, Jasper A. Vrugt, Breanndán Ó. Nualláin, Johan van der Knijff, and Ad De Roo. "Parameter optimisation and uncertainty assessment for large-scale streamflow simulation with the LISFLOOD model." Journal of Hydrology 332, no. 3-4 (2007): 276–89. http://dx.doi.org/10.1016/j.jhydrol.2006.07.004.

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18

Parkes, B. L., F. Wetterhall, F. Pappenberger, Y. He, B. D. Malamud, and H. L. Cloke. "Assessment of a 1-hour gridded precipitation dataset to drive a hydrological model: a case study of the summer 2007 floods in the Upper Severn, UK." Hydrology Research 44, no. 1 (2012): 89–105. http://dx.doi.org/10.2166/nh.2011.025.

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In this study a gridded hourly 1-km precipitation dataset for a meso-scale catchment (4,062 km2) of the Upper Severn River, UK was constructed using rainfall radar data to disaggregate a daily precipitation (rain gauge) dataset. The dataset was compared to an hourly precipitation dataset created entirely from rainfall radar data. Results found that when assessed against gauge readings and as input to the Lisflood-RR hydrological model, the rain gauge/radar disaggregated dataset performed the best suggesting that this simple method of combining rainfall radar data with rain gauge readings can p

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19

Emmanuel, Lawin, Yèkambèssoun N’Tcha M’Po, Chabi Biaou, et al. "Mid-Century Daily Discharge Scenarios Based on Climate and Land Use Change in Ouémé River Basin at Bétérou Outlet." Hydrology 5, no. 4 (2018): 69. http://dx.doi.org/10.3390/hydrology5040069.

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This study evaluates the impacts of land use and climate changes on daily discharge in Ouémé river basin at Bétérou outlet. Observed rainfall and temperature over 2002–2008 and land use data of 2003 and 2007 were used. Corrected rainfall and temperature data, under RCP4.5 and RCP8.5 scenarios from regional climate model REMO were considered. Two land use scenarios from RIVERTWIN project were used. The first one, Land Use A (LUA), is characterized by stronger economic development, controlled urbanization, implementation of large-scale irrigation schemes, and 3.2% population growth per year. The

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20

Laguardia, G., and S. Niemeyer. "On the comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture estimates." Hydrology and Earth System Sciences 12, no. 6 (2008): 1339–51. http://dx.doi.org/10.5194/hess-12-1339-2008.

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Abstract. In order to evaluate the reliability of the soil moisture product obtained by means of the LISFLOOD hydrological model (De Roo et al., 2000), we compare it to soil moisture estimates derived from ERS scatterometer data (Wagner et al., 1999b). Once evaluated the effect of scale mismatch, we calculate the root mean square error and the correlation between the two soil moisture time series on a pixel basis and we assess the fraction of variance that can be explained by a set of input parameter fields that vary from elevation and soil depth to rainfall statistics and missing or snow cove

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21

Laguardia, G., and S. Niemeyer. "On the comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture estimates." Hydrology and Earth System Sciences Discussions 5, no. 3 (2008): 1227–65. http://dx.doi.org/10.5194/hessd-5-1227-2008.

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Abstract. In order to evaluate the reliability of the soil moisture product obtained by means of the LISFLOOD hydrological model (De Roo et al., 2000), we compare it to soil moisture estimates derived from ERS scatterometer data (Wagner et al., 1999). Once calculated the root mean square error and the correlation between the two soil moisture time series on a pixel basis, we assess the fraction of variance that can be explained by a set of input parameter fields that vary from elevation and soil depth to rainfall statistics and missing or snow covered ERS images. The two datasets show good agr

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22

Van Der Knijff, J. M., J. Younis, and A. P. J. De Roo. "LISFLOOD: a GIS‐based distributed model for river basin scale water balance and flood simulation." International Journal of Geographical Information Science 24, no. 2 (2010): 189–212. http://dx.doi.org/10.1080/13658810802549154.

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23

Pappenberger, Florian, Keith Beven, Ad De Roo, Jutta Thielen, and Ben Gouweleeuw. "Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE)." International Journal of River Basin Management 2, no. 2 (2004): 123–33. http://dx.doi.org/10.1080/15715124.2004.9635227.

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24

Rajib, Adnan, Zhu Liu, Venkatesh Merwade, Ahmad A. Tavakoly, and Michael L. Follum. "Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP." Journal of Hydrology 581 (February 2020): 124406. http://dx.doi.org/10.1016/j.jhydrol.2019.124406.

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25

Arnal, Louise, Hannah L. Cloke, Elisabeth Stephens, et al. "Skilful seasonal forecasts of streamflow over Europe?" Hydrology and Earth System Sciences 22, no. 4 (2018): 2057–72. http://dx.doi.org/10.5194/hess-22-2057-2018.

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Abstract. This paper considers whether there is any added value in using seasonal climate forecasts instead of historical meteorological observations for forecasting streamflow on seasonal timescales over Europe. A Europe-wide analysis of the skill of the newly operational EFAS (European Flood Awareness System) seasonal streamflow forecasts (produced by forcing the Lisflood model with the ECMWF System 4 seasonal climate forecasts), benchmarked against the ensemble streamflow prediction (ESP) forecasting approach (produced by forcing the Lisflood model with historical meteorological observation

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26

Dankers, R., L. Feyen, and O. B. Christensen. "On the benefit of high-resolution climate simulations in impact studies of hydrological extremes." Hydrology and Earth System Sciences Discussions 6, no. 2 (2009): 2573–97. http://dx.doi.org/10.5194/hessd-6-2573-2009.

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Abstract. We investigated the effect of changing the horizontal resolution of a regional climate model (RCM) on the simulation of hydrological extremes. We employed the results of three experiments of the RCM HIRHAM using a grid size of approximately 12, 25 and 50 km. These simulations were used to drive the hydrological model LISFLOOD, developed for flood forecasting at European scale. The discharge simulations of LISFLOOD were compared with statistics of observed river runoff at 209 gauging stations across Europe. The largest discrepancies in peak flow occurred in climates with a seasonal sn

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27

Hoch, Jannis M., Dirk Eilander, Hiroaki Ikeuchi, Fedor Baart, and Hessel C. Winsemius. "Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework." Natural Hazards and Earth System Sciences 19, no. 8 (2019): 1723–35. http://dx.doi.org/10.5194/nhess-19-1723-2019.

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Abstract. Fluvial flood events are a major threat to people and infrastructure. Typically, flood hazard is driven by hydrologic or river routing and floodplain flow processes. Since they are often simulated by different models, coupling these models may be a viable way to increase the integration of different physical drivers of simulated inundation estimates. To facilitate coupling different models and integrating across flood hazard processes, we here present GLOFRIM 2.0, a globally applicable framework for integrated hydrologic–hydrodynamic modelling. We then tested the hypothesis that smar

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28

Neal, J., G. Schumann, T. Fewtrell, M. Budimir, P. Bates, and D. Mason. "Evaluating a new LISFLOOD-FP formulation with data from the summer 2007 floods in Tewkesbury, UK." Journal of Flood Risk Management 4, no. 2 (2011): 88–95. http://dx.doi.org/10.1111/j.1753-318x.2011.01093.x.

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29

Feeney, Christopher J., Richard C. Chiverrell, Hugh G. Smith, Janet M. Hooke, and James R. Cooper. "Modelling the decadal dynamics of reach‐scale river channel evolution and floodplain turnover in CAESAR‐Lisflood." Earth Surface Processes and Landforms 45, no. 5 (2020): 1273–91. http://dx.doi.org/10.1002/esp.4804.

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30

Coulthard, Tom J., Jeff C. Neal, Paul D. Bates, Jorge Ramirez, Gustavo A. M. de Almeida, and Greg R. Hancock. "Integrating the LISFLOOD-FP 2D hydrodynamic model with the CAESAR model: implications for modelling landscape evolution." Earth Surface Processes and Landforms 38, no. 15 (2013): 1897–906. http://dx.doi.org/10.1002/esp.3478.

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31

Pappenberger, F., K. Frodsham, K. Beven, R. Romanowicz, and P. Matgen. "Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations." Hydrology and Earth System Sciences 11, no. 2 (2007): 739–52. http://dx.doi.org/10.5194/hess-11-739-2007.

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Abstract. The paper presents a methodology for the estimation of uncertainty of inundation extent, which takes account of the uncertainty in the observed spatially distributed information and implements a fuzzy evaluation methodology. The Generalised Likelihood Uncertainty Estimation (GLUE) technique and the 2-D LISFLOOD-FP model were applied to derive the set of uncertain inundation realisations and resulting flood inundation maps. Conditioning of the inundation maps on fuzzified Synthetic Aperture Radar (SAR) images results in much more realistic inundation risk maps which can better depict

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32

Pappenberger, F., K. Frodsham, K. Beven, R. Romanowicz, and P. Matgen. "Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations." Hydrology and Earth System Sciences Discussions 3, no. 4 (2006): 2243–77. http://dx.doi.org/10.5194/hessd-3-2243-2006.

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Abstract. The paper presents a methodology for the estimation of uncertainty of inundation extent, which takes account of the uncertainty in the observed spatially distributed information and implements a fuzzy evaluation methodology. The Generalised Likelihood Uncertainty Estimation (GLUE) technique and the 2-D LISFLOOD-FP model were applied to derive the set of uncertain inundation realisations and resulting flood inundation maps. Conditioning of the inundation maps on fuzzified Synthetic Aperture Radar (SAR) images results in much more realistic inundation risk maps which can better depict

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33

Fieman, Dina M., Mikaël Attal, and Stephen Addy. "Geomorphic response of a mountain gravel-bed river to an extreme flood in Aberdeenshire, Scotland." Scottish Journal of Geology 56, no. 2 (2020): 101–16. http://dx.doi.org/10.1144/sjg2019-005.

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This study uses the 2015 ‘Storm Frank’ flood on the River Dee, Aberdeenshire, to assess the impact of extreme events on river dynamics. The Storm Frank flood (>200 year recurrence interval) caused significant local morphological change that was concentrated in the middle portion of the 140 km long river and overall net degradation that primarily occurred through lateral adjustment processes. Although the flood did not cause widespread change in channel planform, morphological change at the reach scale (<1 km) was significant. Bank scour resulted in channel expansion and lateral migration

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34

Romanov, A. V., and M. V. Yachmenova. "Feedback structure and EFAS flood warning verification for the rivers in the northwestern Russian Federation." Hydrometeorological research and forecasting 4 (December 2020): 96–109. http://dx.doi.org/10.37162/2618-9631-2020-4-96-109.

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Based on the example of flood warning data provided by EFAS for the territory of Northwestern Administration for Hydrometeorology and Environmental Monitoring in 2018-2020, the structure of the systematized issues of the EFAS portal is analyzed. The issues determine a feedback for the year-round monitoring of the accuracy of flood forecasting using the LISFLOOD base model, as well as its calibration. Several most important feedback sections are highlighted, that allow improving significantly a procedure for the quantitative and qualitative differentiated assessment of short- and medium-range f

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35

Mo, X., K. J. Beven, S. Liu, L. M. Leslie, and A. P. J. De Roo. "Long-term water budget estimation with the modified distributed model – LISFLOOD-WB over the Lushi basin, China." Meteorology and Atmospheric Physics 90, no. 1-2 (2004): 1–16. http://dx.doi.org/10.1007/s00703-004-0084-9.

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36

Wanders, N., D. Karssenberg, A. de Roo, S. M. de Jong, and M. F. P. Bierkens. "The suitability of remotely sensed soil moisture for improving operational flood forecasting." Hydrology and Earth System Sciences 18, no. 6 (2014): 2343–57. http://dx.doi.org/10.5194/hess-18-2343-2014.

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Abstract. We evaluate the added value of assimilated remotely sensed soil moisture for the European Flood Awareness System (EFAS) and its potential to improve the prediction of the timing and height of the flood peak and low flows. EFAS is an operational flood forecasting system for Europe and uses a distributed hydrological model (LISFLOOD) for flood predictions with lead times of up to 10 days. For this study, satellite-derived soil moisture from ASCAT (Advanced SCATterometer), AMSR-E (Advanced Microwave Scanning Radiometer - Earth Observing System) and SMOS (Soil Moisture and Ocean Salinity

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37

Gioia and Lazzari. "Testing the Prediction Ability of LEM-Derived Sedimentary Budget in an Upland Catchment of the Southern Apennines, Italy: A Source to Sink Approach." Water 11, no. 5 (2019): 911. http://dx.doi.org/10.3390/w11050911.

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Landscape evolution models (LEMs) represent one of the most promising approaches to evaluate sedimentary budget, although factors such as the high number of parameters or the difficulty evaluating the robustness of the results can represent a limitation in their application in natural landscapes. In this paper, the Caesar–Lisflood LEM has been applied in a small catchment (i.e., about 9 km2) of southern Italy draining an artificial reservoir in order to test its ability to predict sediment flux and erosion rate. Short-term (i.e., about 20 years) estimation of the sediment volumes accumulated i

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38

Lyddon, Charlotte E., Jennifer M. Brown, Nicoletta Leonardi, and Andrew J. Plater. "Sensitivity of Flood Hazard and Damage to Modelling Approaches." Journal of Marine Science and Engineering 8, no. 9 (2020): 724. http://dx.doi.org/10.3390/jmse8090724.

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Combination of uncertainties in water level and wave height predictions for extreme storms can result in unacceptable levels of error, rendering flood hazard assessment frameworks less useful. A 2D inundation model, LISFLOOD-FP, was used to quantify sensitivity of flooding to uncertainty in coastal hazard conditions and method used to force the coastal boundary of the model. It is shown that flood inundation is more sensitive to small changes in coastal hazard conditions due to the setup of the regional model, than the approach used to apply these conditions as boundary forcing. Once the thres

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39

Walsh, Peter, Anthony Jakeman, and Chris Thompson. "Modelling headwater channel response and suspended sediment yield to in-channel large wood using the Caesar-Lisflood landscape evolution model." Geomorphology 363 (August 2020): 107209. http://dx.doi.org/10.1016/j.geomorph.2020.107209.

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40

di Baldassarre, G., K. Yan, MD R. Ferdous, and L. Brandimarte. "The interplay between human population dynamics and flooding in Bangladesh: a spatial analysis." Proceedings of the International Association of Hydrological Sciences 364 (September 16, 2014): 188–91. http://dx.doi.org/10.5194/piahs-364-188-2014.

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Abstract. In Bangladesh, socio-economic and hydrological processes are both extremely dynamic and inter-related. Human population patterns are often explained as a response, or adaptation strategy, to physical events, e.g. flooding, salt-water intrusion, and erosion. Meanwhile, these physical processes are exacerbated, or mitigated, by diverse human interventions, e.g. river diversion, levees and polders. In this context, this paper describes an attempt to explore the complex interplay between floods and societies in Bangladeshi floodplains. In particular, we performed a spatially-distributed

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41

Gioia, Dario, and Marcello Schiattarella. "Modeling Short-Term Landscape Modification and Sedimentary Budget Induced by Dam Removal: Insights from LEM Application." Applied Sciences 10, no. 21 (2020): 7697. http://dx.doi.org/10.3390/app10217697.

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Simulation scenarios of sediment flux variation and topographic changes due to dam removal have been investigated in a reservoir catchment of the axial zone of southern Italy through the application of a landscape evolution model (i.e.,: the Caesar–Lisflood landscape evolution models, LEM). LEM simulation highlights that the abrupt change in base level due to dam removal induces a significant increase in erosion ability of main channels and a strong incision of the reservoir infill. Analysis of the sediment dynamics resulting from the dam removal highlights a significant increase of the total

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42

Gouweleeuw, B. T., J. Thielen, G. Franchello, A. P. J. De Roo, and R. Buizza. "Flood forecasting using medium-range probabilistic weather prediction." Hydrology and Earth System Sciences 9, no. 4 (2005): 365–80. http://dx.doi.org/10.5194/hess-9-365-2005.

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Abstract. Following the developments in short- and medium-range weather forecasting over the last decade, operational flood forecasting also appears to show a shift from a so-called single solution or 'best guess' deterministic approach towards a probabilistic approach based on ensemble techniques. While this probabilistic approach is now more or less common practice and well established in the meteorological community, operational flood forecasters have only started to look for ways to interpret and mitigate for end-users the prediction products obtained by combining so-called Ensemble Predic

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43

Sutanto, Samuel J., and Henny A. J. Van Lanen. "Streamflow drought: implication of drought definitions and its application for drought forecasting." Hydrology and Earth System Sciences 25, no. 7 (2021): 3991–4023. http://dx.doi.org/10.5194/hess-25-3991-2021.

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Abstract. Streamflow drought forecasting is a key element of contemporary drought early warning systems (DEWS). The term streamflow drought forecasting (not streamflow forecasting), however, has created confusion within the scientific hydrometeorological community as well as in operational weather and water management services. Streamflow drought forecasting requires an additional step, which is the application of a drought identification method to the forecasted streamflow time series. The way streamflow drought is identified is the main reason for this misperception. The purpose of this stud

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44

Amarnath, G., Y. M. Umer, N. Alahacoon, and Y. Inada. "Modelling the flood-risk extent using LISFLOOD-FP in a complex watershed: case study of Mundeni Aru River Basin, Sri Lanka." Proceedings of the International Association of Hydrological Sciences 370 (June 11, 2015): 131–38. http://dx.doi.org/10.5194/piahs-370-131-2015.

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Abstract. Flood management is adopting a more risk-based approach, whereby flood risk is the product of the probability and consequences of flooding. Two-dimensional flood inundation modeling is a widely used tool to aid flood-risk management. The aim of this study is to develop a flood inundation model that uses historical flow data to produce flood-risk maps, which will help to identify flood protection measures in the rural areas of Sri Lanka. The LISFLOOD-FP model was developed at the basin scale using available historical data, and also through coupling with a hydrological modelling syste

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Wood, Melissa, Renaud Hostache, Jeffrey Neal, et al. "Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques." Hydrology and Earth System Sciences 20, no. 12 (2016): 4983–97. http://dx.doi.org/10.5194/hess-20-4983-2016.

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Abstract. Single satellite synthetic aperture radar (SAR) data are now regularly used to estimate hydraulic model parameters such as channel roughness, depth and water slope. However, despite channel geometry being critical to the application of hydraulic models and poorly known a priori, it is not frequently the object of calibration. This paper presents a unique method to simultaneously calibrate the bankfull channel depth and channel roughness parameters within a 2-D LISFLOOD-FP hydraulic model using an archive of moderate-resolution (150 m) ENVISAT satellite SAR-derived flood extent maps a

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Yang, Quntao, Shuliang Zhang, Qiang Dai, and Rui Yao. "Improved Framework for Assessing Vulnerability to Different Types of Urban Floods." Sustainability 12, no. 18 (2020): 7668. http://dx.doi.org/10.3390/su12187668.

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Vulnerability assessment is an essential tool in mitigating the impact of urban flooding. To date, most flood vulnerability research has focused on one type of flood, such as a pluvial or fluvial flood. However, cities can suffer from urban flooding for several reasons, such as precipitation and river levee overtopping. Therefore, a vulnerability assessment considering different types of floods (pluvial floods, fluvial floods, and compound flooding induced by both rainfall and river overtopping) was conducted in this study. First, a coupled urban flood model, considering both overland and sewe

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Gai, Lingtong, João P. Nunes, Jantiene E. M. Baartman, et al. "Assessing the impact of human interventions on floods and low flows in the Wei River Basin in China using the LISFLOOD model." Science of The Total Environment 653 (February 2019): 1077–94. http://dx.doi.org/10.1016/j.scitotenv.2018.10.379.

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Skinner, Christopher J., Tom J. Coulthard, Wolfgang Schwanghart, Marco J. Van De Wiel, and Greg Hancock. "Global sensitivity analysis of parameter uncertainty in landscape evolution models." Geoscientific Model Development 11, no. 12 (2018): 4873–88. http://dx.doi.org/10.5194/gmd-11-4873-2018.

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Abstract. The evaluation and verification of landscape evolution models (LEMs) has long been limited by a lack of suitable observational data and statistical measures which can fully capture the complexity of landscape changes. This lack of data limits the use of objective function based evaluation prolific in other modelling fields, and restricts the application of sensitivity analyses in the models and the consequent assessment of model uncertainties. To overcome this deficiency, a novel model function approach has been developed, with each model function representing an aspect of model beha

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Wetterhall, F., Y. He, H. Cloke, and F. Pappenberger. "Effects of temporal resolution of input precipitation on the performance of hydrological forecasting." Advances in Geosciences 29 (February 25, 2011): 21–25. http://dx.doi.org/10.5194/adgeo-29-21-2011.

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Abstract. Flood prediction systems rely on good quality precipitation input data and forecasts to drive hydrological models. Most precipitation data comes from daily stations with a good spatial coverage. However, some flood events occur on sub-daily time scales and flood prediction systems could benefit from using models calibrated on the same time scale. This study compares precipitation data aggregated from hourly stations (HP) and data disaggregated from daily stations (DP) with 6-hourly forecasts from ECMWF over the time period 1 October 2006–31 December 2009. The HP and DP data sets were

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Zhu, Shaonan, Qiang Dai, Binru Zhao, and Jiaqi Shao. "Assessment of Population Exposure to Urban Flood at the Building Scale." Water 12, no. 11 (2020): 3253. http://dx.doi.org/10.3390/w12113253.

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The assessment of populations affected by urban flooding is crucial for flood prevention and mitigation but is highly influenced by the accuracy of population datasets. The population distribution is related to buildings during the urban floods, so assessing the population at the building scale is more rational for the urban floods, which is possible due to the abundance of multi-source data and advances in GIS technology. Therefore, this study assesses the populations affected by urban floods through population mapping at the building scale using highly correlated point of interest (POI) data

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