Advances in Large Scale Flood Monitoring and Detection

Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In parti...

Full description

Saved in:
Bibliographic Details
HerausgeberIn:
Sonstige:
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (198 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 03734nam-a2201093z--4500
001 993545751404498
005 20231214133430.0
006 m o d
007 cr|mn|---annan
008 202105s2020 xx |||||o ||| 0|eng d
035 |a (CKB)5400000000041076 
035 |a (oapen)https://directory.doabooks.org/handle/20.500.12854/69277 
035 |a (EXLCZ)995400000000041076 
041 0 |a eng 
100 1 |a Manfreda, Salvatore  |4 edt 
245 1 0 |a Advances in Large Scale Flood Monitoring and Detection 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (198 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In particular, the growing computational power is offering new strategies for a more detailed description of the flooding over large scales. This book offers an overview of the most recent outcomes of the research on this argument. 
546 |a English 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a climate change 
653 |a flood hazards 
653 |a high-resolution AGCM 
653 |a inundation analysis 
653 |a Lower Mekong river basin 
653 |a data assimilation 
653 |a ensemble Kalman filter 
653 |a flood inundation maps 
653 |a National Water Model (NWM) 
653 |a countermeasures 
653 |a flood impacts 
653 |a Metro Colombo canal system 
653 |a Colombo city, Sri Lanka 
653 |a urban floods 
653 |a near real-time 
653 |a Mekong Basin 
653 |a hydro-economic 
653 |a socioeconomic 
653 |a damage assessment 
653 |a hydroinformatics 
653 |a EU Floods Directive 
653 |a flood risk management 
653 |a extreme rainfall 
653 |a SCS-CN 
653 |a 2D hydraulic modelling 
653 |a HEC-RAS 
653 |a building representation 
653 |a ungauged streams 
653 |a uncertainty 
653 |a IDF curves 
653 |a Bayesian analysis 
653 |a Non-Stationary process 
653 |a open-access remotely sensed data 
653 |a flood mapping and modelling 
653 |a altimetry 
653 |a synthetic aperture radar 
653 |a optical satellite 
653 |a Digital Elevation Model (DEM) 
653 |a and transboundary floods 
653 |a flood 
653 |a remote sensing 
653 |a data integration 
653 |a RST-FLOOD 
653 |a MODIS 
653 |a VIIRS 
653 |a optical data 
653 |a flood mapping 
653 |a flood monitoring 
653 |a floodplains 
653 |a rivers dynamics 
653 |a DEM-based methods 
653 |a geomorphology 
653 |a data scarce environments 
653 |a DTM 
653 |a terrain analysis 
653 |a hydraulic geometry 
653 |a large scale 
653 |a 2D hydraulic modeling 
653 |a scaling in hydrology 
776 |z 3-03943-525-6 
776 |z 3-03943-526-4 
700 1 |a Samela, Caterina  |4 edt 
700 1 |a Refice, Alberto  |4 edt 
700 1 |a Tramutoli, Valerio  |4 edt 
700 1 |a Nardi, Fernando  |4 edt 
700 1 |a Manfreda, Salvatore  |4 oth 
700 1 |a Samela, Caterina  |4 oth 
700 1 |a Refice, Alberto  |4 oth 
700 1 |a Tramutoli, Valerio  |4 oth 
700 1 |a Nardi, Fernando  |4 oth 
906 |a BOOK 
ADM |b 2023-12-15 05:53:50 Europe/Vienna  |f system  |c marc21  |a 2022-04-04 09:22:53 Europe/Vienna  |g false 
AVE |i DOAB Directory of Open Access Books  |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338028010004498&Force_direct=true  |Z 5338028010004498  |b Available  |8 5338028010004498