A Brief review of flood forecasting techniques and their applications
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Vijay P. Singh | A. P. Dimri | Desiree Tullos | Sanjay K. Jain | Sanjay Kumar | Sharad K. Jain | D. Tullos | S. Jain | S. Jain | S. Kumar | S. Agarwal | Vijay Singh | P. Mani | Pankaj Mani | Pavithra Prakash | Sumita Agarwal | A. Dimri | P. Prakash
[1] R. K. Kachroo. River flow forecasting. Part 1. A discussion of the principles , 1992 .
[2] Kieran M. O'Connor,et al. Real-time flow forecasting in the absence of quantitative precipitation forecasts: A multi-model approach , 2007 .
[3] D. Seo,et al. Ensemble prediction and data assimilation for operational hydrology , 2014 .
[4] Stefano Manetti,et al. A real time hydrological forecasting system using a fuzzy clustering approach , 2003 .
[5] Desiree Tullos,et al. Assessing the influence of Environmental Impact Assessments on science and policy: an analysis of the Three Gorges Project. , 2009, Journal of environmental management.
[6] Günter Blöschl,et al. Flood forecast errors and ensemble spread—A case study , 2012 .
[7] Ezio Todini,et al. Recent developments in predictive uncertainty assessment based on the model conditional processor approach , 2010 .
[8] Massimiliano Zappa,et al. A ‘Peak‐Box’ approach for supporting interpretation and verification of operational ensemble peak‐flow forecasts , 2013 .
[9] M. Kelsch. Hydrometeorological Characteristics of Flash Floods , 2001 .
[10] Ashutosh Bhardwaj,et al. Estimation of structural vulnerability for flooding using geospatial tools in the rural area of Orissa, India , 2012, Natural Hazards.
[11] Peter J. Webster,et al. A 1–10-Day Ensemble Forecasting Scheme for the Major River Basins of Bangladesh: Forecasting Severe Floods of 2003–07* , 2010 .
[12] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[13] James D. Brown,et al. The Science of NOAA's Operational Hydrologic Ensemble Forecast Service , 2014 .
[14] Bernard D. Goldstein,et al. Environmental Health: From Global to Local , 2006, Environmental Health Perspectives.
[15] Asaad Y. Shamseldin,et al. NEARLY TWO DECADES OF NEURAL NETWORK HYDROLOGIC MODELING , 2009 .
[16] Andrew W. Western,et al. Assimilation of stream discharge for flood forecasting: Updating a semidistributed model with an integrated data assimilation scheme , 2015 .
[17] François Anctil,et al. A Comparison of the Canadian Global and Regional Meteorological Ensemble Prediction Systems for Short-Term Hydrological Forecasting , 2013 .
[18] Shie-Yui Liong,et al. Advance flood forecasting for flood stricken Bangladesh with a fuzzy reasoning method (Copies of English Papers by the Center Staff Published in the Fiscal Year of 1999) , 2000 .
[19] Micha H Werner,et al. Developing Flood Forecasting Systems : Examples from the Uk , Europe , and Pakistan , 2006 .
[20] Xing Ma,et al. Response of hydrological processes to land‐cover and climate changes in Kejie watershed, south‐west China , 2009 .
[21] Hannah L. Cloke,et al. Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures , 2008 .
[22] Mohamed Nasr Allam,et al. Rainfall‐runoff modelling using artificial neural networks technique: a Blue Nile catchment case study , 2006 .
[23] E. Todini,et al. Recent advances in flood forecasting and flood risk assessment , 2005 .
[24] Sang-Hyeok Gang,et al. Report Card for America's Infrastructure , 2012 .
[25] Konstantine P. Georgakakos,et al. Flood Forecasting in Regulated Basins Using the Ensemble Extended Kalman Filter with the Storage Function Method , 2010 .
[26] Florian Pappenberger,et al. Ensemble flood forecasting: a review. , 2009 .
[27] L. See,et al. Towards defining evaluation measures for neural network forecasting models , 2001 .
[28] Florian Pappenberger,et al. Challenges in communicating and using ensembles in operational flood forecasting , 2010 .
[29] Barry Smyth,et al. Remote asynchronous collaborative web search : a community-based approach , 2008 .
[30] Dawei Han,et al. Practical hydroinformatics: Computational intelligence and technological developments in water applications , 2008 .
[31] A. D. Roo,et al. Physically-Based River Basin Modelling within a GIS: the LISFLOOD Model. , 2000 .
[32] T. Rientjes,et al. Constraints of artificial neural networks for rainfall-runoff modelling: trade-offs in hydrological state representation and model evaluation , 2005 .
[33] Soroosh Sorooshian,et al. Real-time flow forecasting. , 2007 .
[34] Thomas A. Hennig,et al. The Shuttle Radar Topography Mission , 2001, Digital Earth Moving.
[35] C. Doswell,et al. Flash Flood Forecasting: An Ingredients-Based Methodology , 1996 .
[36] Shenglian Guo,et al. Comparison of three updating schemes using artificial neural network in flow forecasting , 2004 .
[37] Quan J. Wang,et al. A review of advances in flash flood forecasting , 2011 .
[38] A. Shamseldin,et al. River basin modelling for flood risk mitigation , 2005 .
[39] J. Thielen,et al. The European Flood Alert System – Part 1: Concept and development , 2008 .
[40] D. Tullos,et al. Impacts and Biases of Storm Regime and Sampling Networks on Extreme Precipitation Measurements across the Western Himalayas , 2016 .
[41] R. Marty,et al. Sensitivity of hydrological ensemble forecasts to different sources and temporal resolutions of probabilistic quantitative precipitation forecasts: flash flood case studies in the Cévennes‐Vivarais region (Southern France) , 2013 .
[42] Alfredo Mahar Francisco A Lagmay,et al. Disseminating near-real-time hazards information and flood maps in the Philippines through Web-GIS. , 2017, Journal of environmental sciences.
[43] E. J. Plate,et al. HESS Opinions "Classification of hydrological models for flood management" , 2009 .
[44] Dong-Jun Seo,et al. Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models , 2014 .
[45] R. Buizza,et al. A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems , 2005 .
[46] F. Pappenberger,et al. A pan-African medium-range ensemble flood forecast system , 2015 .
[47] Desiree Tullos,et al. Flexibility in Water Resources Management: Review of Concepts and Development of Assessment Measures for Flood Management Systems , 2014 .
[48] R. Moore,et al. Forecasting for flood warning , 2005 .
[49] R. Abrahart,et al. Flood estimation at ungauged sites using artificial neural networks , 2006 .
[50] G. Thirel,et al. A past discharge assimilation system for ensemble streamflow forecasts over France - Part 2: Impact on the ensemble streamflow forecasts , 2010 .
[51] Todini,et al. Coupling meteorological and hydrological models for flood forecasting , 2005 .
[52] Roman Krzysztofowicz,et al. Bayesian theory of probabilistic forecasting via deterministic hydrologic model , 1999 .
[53] Konstantine P. Georgakakos,et al. Intercomparison of lumped versus distributed hydrologic model ensemble simulations on operational forecast scales , 2006 .
[54] A FLOOD OF BENEFITS USING GREEN INFRASTRUCTURE TO REDUCE FLOOD RISKS , 2014 .
[55] K. P. Sudheer,et al. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions , 2010, Environ. Model. Softw..
[56] Robert LIN,et al. NOTE ON FUZZY SETS , 2014 .
[57] R. Wallace. Is this a practical approach? , 2001, Journal of the American College of Surgeons.
[58] C. Collier. Flash flood forecasting: What are the limits of predictability? , 2007 .
[59] Guillaume Thirel,et al. Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting , 2014 .
[60] F. Pappenberger,et al. Communicating uncertainty in hydro‐meteorological forecasts: mission impossible? , 2010 .
[61] N. Null. Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .
[62] Deg-Hyo Bae,et al. Monthly dam inflow forecasts using weather forecasting information and neuro-fuzzy technique , 2007 .
[63] Armando Brath,et al. Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models , 2002 .
[64] D. Nychka. Data Assimilation” , 2006 .
[65] Vinay Kumar Dadhwal,et al. A distributed model for real-time flood forecasting in the Godavari Basin using space inputs , 2011 .
[66] S. Di Francesco,et al. CFD modelling approach for dam break flow studies , 2009 .
[67] Updating algorithms in flood forecasting , 2006 .
[68] A. S. Rajawat,et al. Mapping and monitoring of land use and land cover changes using Remote Sensing and GIS techniques , 2013 .
[69] John Handmer,et al. Coping with Flash Floods , 2001 .
[70] E. Ebert. Ability of a Poor Man's Ensemble to Predict the Probability and Distribution of Precipitation , 2001 .
[71] L. D. Marcos,et al. Improving probabilistic flood forecasting through a data assimilation scheme based on genetic programming , 2012 .
[72] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[73] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[74] Soroosh Sorooshian,et al. Challenges of operational river forecasting , 2014 .
[75] R Govindaraju,et al. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS , 2000 .
[76] Wouter Dorigo,et al. Using remotely sensed soil moisture for land-atmosphere coupling diagnostics: the role of surface vs. root-zone soil moisture variability. , 2014 .
[77] Kevin Sene,et al. Flood Warning, Forecasting and Emergency Response , 2008 .
[78] Lucien Duckstein,et al. Fuzzy Rule-Based Modeling of Reservoir Operation , 1996 .
[79] V. T. Chow. Handbook of applied hydrology , 2017 .
[80] D. Kavetski,et al. Confronting Input Uncertainty in Environmental Modelling , 2013 .
[81] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[82] S A Sun,et al. Decision making in flood risk based storm sewer network design. , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.
[83] Jutta Thielen,et al. The european flood alert system EFAS - Part 2: statistical skill assessment of probabilistic and deterministic operational forecasts. , 2008 .
[84] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[85] R. DeFries,et al. Land‐use change and hydrologic processes: a major focus for the future , 2004 .
[86] Sabu Joseph,et al. Sensitivity of digital elevation models: The scenario from two tropical mountain river basins of the Western Ghats, India , 2014 .
[87] Pao-Shan Yu,et al. Updating Real-Time Flood Forecasting Using a Fuzzy Rule-Based Model/Mise à Jour de Prévision de Crue en Temps Réel Grâce à un Modèle à Base de Règles Floues , 2005 .
[88] Sara Liguori,et al. A practical approach to the assessment of probabilistic flow predictions , 2013 .
[89] Peter C Young,et al. Advances in real–time flood forecasting , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[90] Brian F. Thomas,et al. River basin flood potential inferred using GRACE gravity observations at several months lead time , 2014 .
[91] Xavier Litrico,et al. A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states , 2016, Environ. Model. Softw..
[92] Assessing flash flood hazard in an arid mountainous region , 2013, Arabian Journal of Geosciences.
[93] K. Beven,et al. Development of a European flood forecasting system , 2003 .
[94] J. M. STAGG. The International Union of Geodesy and Geophysics , 1947, Nature.
[95] K. Sudheer,et al. Improved higher lead time river flow forecasts using sequential neural network with error updating , 2014 .
[96] Andreas Schmitt,et al. MONITORING OF WET SNOW AND ACCUMULATIONS AT HIGH ALPINE GLACIERS USING RADAR TECHNOLOGIES , 2015 .
[97] A. Haile,et al. Effects of LIDAR DEM resolution in flood modelling : a model sensitivity study for the city of Tegucigalpa, Honduras , 2005 .
[98] P. Young,et al. Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom , 2006 .
[99] Richard M. Vogel,et al. Nonstationarity: Flood Magnification and Recurrence Reduction Factors in the United States 1 , 2011 .
[100] Jeanne M. Jones,et al. Community clusters of tsunami vulnerability in the US Pacific Northwest , 2015, Proceedings of the National Academy of Sciences.
[101] Efi Foufoula-Georgiou,et al. A new metric for comparing precipitation patterns with an application to ensemble forecasts , 2005 .
[102] G. Thirel,et al. Impact of streamflow data assimilation and length of the verification period on the quality of short-term ensemble hydrologic forecasts , 2014 .
[103] J. Schaake,et al. Precipitation and temperature ensemble forecasts from single-value forecasts , 2007 .
[104] F. Pappenberger,et al. The European Flood Alert System and the communication, perception, and use of ensemble predictions for operational flood risk management , 2013 .
[105] Günter Blöschl,et al. A spatially distributed flash flood forecasting model , 2008, Environ. Model. Softw..
[106] Yu,et al. 52. Updating Real-Time Flood Forecasting Using a Fuzzy Rule-Based Model , 2005 .
[107] Janice M. Fulford,et al. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling--A pilot study for the Snoqualmie River, Washington , 2002 .
[108] Florian Pappenberger,et al. Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level , 2016, Environ. Model. Softw..
[109] L. García,et al. Earth observation for water resources management : current use and future opportunities for the water sector , 2016 .
[110] D. Gautam,et al. Community Based Approach to Flood Early Warning in West Rapti River Basin of Nepal , 2013 .
[111] J. R. Scotti,et al. Available From , 1973 .
[112] P. Gleick. Global Freshwater Resources: Soft-Path Solutions for the 21st Century , 2003, Science.
[113] L. Alfieri,et al. GloFAS – global ensemble streamflow forecasting and flood early warning , 2012 .
[114] E. Plate. Classification of hydrological models for flood management , 2009 .
[115] H. Gupta,et al. Real-Time Data Assimilation for Operational Ensemble Streamflow Forecasting , 2006 .
[116] null null,et al. Artificial Neural Networks in Hydrology. II: Hydrologic Applications , 2000 .
[117] S. Lonergan. Making the Most of the Water We Have: The Soft Path Approach to Water Management , 2010 .
[118] Henrik Madsen,et al. Cyclone induced storm surge and flood forecasting in the northern Bay of Bengal , 2004 .
[119] Ari Jolma,et al. Fuzzy Model for Real-Time Reservoir Operation , 2002 .
[120] Ronny Berndtsson,et al. Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting , 2010 .
[121] Sébastien Nobert,et al. Using Ensemble Predictions for Operational Flood Forecasting: Lessons from Sweden , 2009 .
[122] P. Bates,et al. Utility of different data types for calibrating flood inundation models within a GLUE framework , 2005 .
[123] Dimitri P. Solomatine,et al. Data-Driven Modelling: Concepts, Approaches and Experiences , 2009 .