Hydrologic Modeling of Extreme Floods Using Remote Sensing Observations - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hydrologic Modeling of Extreme Floods Using Remote Sensing Observations write by . This book was released on 1999. Hydrologic Modeling of Extreme Floods Using Remote Sensing Observations available in PDF, EPUB and Kindle. The objectives of this research are to develop a comprehensive understanding of extreme floods and to dramatically improve the capability to model these events. Paired diagnostic and modeling studies play a central role in this project. Hydrologic and hydrometeorological studies of extreme floods in the Great Plains, central Appalachians, The Milwaukee metropolitan area, Charlotte, NC metropolitan area and, high-gradient rainforest west of Puerto Rico have been completed. For the large flood events examined in this study, the spatial (1 km) and temporal (15 minutes) resolution of rainfall estimates provided by the WSR-88D was crucial to accurate modeling of extreme flood response. Coupled hydraulic and hydrologic modeling studies using RMA-2V and the Network Model have been carried out to characterize the dependence of flood response on floodwave attenuation and altered runoff processes associated with impervious cover and elaboration of the drainage network.
Using Remote Sensing Observations and Model Simulations for the Analysis of Hydrological Extremes
Using Remote Sensing Observations and Model Simulations for the Analysis of Hydrological Extremes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Using Remote Sensing Observations and Model Simulations for the Analysis of Hydrological Extremes write by Lanxin Hu. This book was released on 2021. Using Remote Sensing Observations and Model Simulations for the Analysis of Hydrological Extremes available in PDF, EPUB and Kindle. Hydrological extremes can harm society and ecosystems. However, many parts of the world lack in situ observations for quantifying hydrological extremes. Physically-based distributed hydrological model simulations driven by atmospheric simulations and remote sensing precipitation observations can be used to alleviate the issue of data scarcity in estimating return periods of hydrological extremes, but the short data record length associated with these datasets limits the application of traditional statistical methods (GEV/LP3/GPD) that rely on extreme value theory. Also, the errors in these indirect measurements or model simulations may lead to large biases in the quantification of extremes. The novel Metastatistical Extreme Value Distribution (MEVD) framework is proposed in this research as a mean of overcoming the limitations imposed by the short record length and obtaining more reliable assessment of high quantiles. The error estimates of MEVD applied on the data generated from satellite-based precipitation products and hydrological model simulations are thoroughly evaluated across different regions and hydroclimatic conditions. It is shown that MEVD is able to address the fundamental issue of data record limitations in deriving robust estimation of hydrological extremes, and alleviate the biases in hydrological model simulations of flood peaks. The application of the MEVD framework in conjunction with simulated streamflows and high-resolution precipitation products from remote sensing observations bring new opportunities for estimating hydrological extremes at global scale, including areas with limited or no in situ records.
Remote Sensing of Hydrological Extremes
Remote Sensing of Hydrological Extremes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing of Hydrological Extremes write by Venkat Lakshmi. This book was released on 2016-11-03. Remote Sensing of Hydrological Extremes available in PDF, EPUB and Kindle. This volume provides in-depth coverage of the latest in remote sensing of hydrological extremes: both floods and droughts. The book is divided into two distinct sections – floods and droughts – and offers a variety of techniques for monitoring each. With rapid advances in computer modelling and observing systems, floods and droughts are studied with greater precision today than ever before. Land surface models, especially over the entire Continental United States, can map the hydrological cycle at kilometre and sub-kilometre scales. In the case of smaller areas there is even higher spatial resolution and the only limiting factor is the resolution of input data. In-situ sensors are automated and the data is directly relayed to the world wide web for many hydrological variables such as precipitation, soil moisture, surface temperature and heat fluxes. In addition, satellite remote sensing has advanced to providing twice a day repeat observations at kilometre to ten-kilometre spatial scales. We are at a critical juncture in the study of hydrological extremes, and the GPM and SMAP missions as well as the MODIS and GRACE sensors give us more tools and data than were ever available before. A global variety of chapter authors provides wide-ranging perspectives and case studies that will make this book an indispensable resource for researchers, engineers, and even emergency management and insurance professionals who study and/or manage hydrological extremes.
Floods in a Changing Climate
Floods in a Changing Climate - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Floods in a Changing Climate write by P. P. Mujumdar. This book was released on 2012-11-22. Floods in a Changing Climate available in PDF, EPUB and Kindle. Various modeling methodologies are available to aid planning and operational decision making: this book synthesises these, with an emphasis on methodologies applicable in data scarce regions, such as developing countries. Problems included in each chapter, and supported by links to available online data sets and modeling tools, engage the reader with practical applications of the models. Academic researchers in the fields of hydrology, climate change, and environmental science and hazards, and professionals and policy-makers working in hazard mitigation, remote sensing and hydrological engineering will find this an invaluable resource. This volume is the second in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Extreme Precipitation by Ramesh Teegavarapu, Floods in a Changing Climate: Inundation Modelling by Giuliano Di Baldassarre and Floods in a Changing Climate: Risk Management by Slodoban P. Simonović.
Hydrologic Remote Sensing
Hydrologic Remote Sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hydrologic Remote Sensing write by Yang Hong. This book was released on 2016-11-15. Hydrologic Remote Sensing available in PDF, EPUB and Kindle. Environmental remote sensing plays a critical role in observing key hydrological components such as precipitation, soil moisture, evapotranspiration and total water storage on a global scale. As water security is one of the most critical issues in the world, satellite remote sensing techniques are of particular importance for emerging regions which have inadequate in-situ gauge observations. This book reviews multiple remote sensing observations, the application of remote sensing in hydrological modeling, data assimilation and hydrological capacity building in emerging regions. •Presents an overview of the past, current and future remote sensing observations of the precipitation, soil moisture, evapotranspiration and total water storage •Reviews the various applications of remote sensing in hydrological/land surface/climate modeling and Ensemble Square Root Filter (EnSRF) data assimilation •Demonstrates techniques to help reduce devastating disasters triggered by hydrological hazards such as floods and landslides •Explains how remote sensing, modeling and data assimilation can be utilized to improve societal resilience and environmental sustainability •Shows how to create real-time flood and drought monitoring systems
