Philippe Gourbesville

ORCID: 0000-0002-1377-6575
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Hydrology and Drought Analysis
  • Water resources management and optimization
  • Water Quality Monitoring Technologies
  • Environmental Monitoring and Data Management
  • Disaster Management and Resilience
  • Groundwater flow and contamination studies
  • Meteorological Phenomena and Simulations
  • Urban Stormwater Management Solutions
  • Hydrology and Sediment Transport Processes
  • Soil erosion and sediment transport
  • Water Systems and Optimization
  • Hydraulic flow and structures
  • Climate variability and models
  • Tropical and Extratropical Cyclones Research
  • Remote Sensing and LiDAR Applications
  • Coastal and Marine Dynamics
  • Landslides and related hazards
  • Precipitation Measurement and Analysis
  • Groundwater and Isotope Geochemistry
  • Infrastructure Resilience and Vulnerability Analysis
  • French Urban and Social Studies
  • Context-Aware Activity Recognition Systems

Université Côte d'Azur
2015-2024

Polytech Nice Sophia
2013-2024

China Institute of Water Resources and Hydropower Research
2022-2024

Polytech Lille
2014-2023

Fondation Sophia Antipolis
2022

Observatoire de la Côte d’Azur
2022

Institut de Biologie Valrose
2022

University of Da Nang
2022

Laboratoire d’Océanologie et de Géosciences
2022

Polis University
2015

All urban drainage networks are designed to manage a maximum rainfall. This situation implies an accepted flood risk for any greater rainfall event. is often underestimated as factors such city growth and climate change ignored. But even major structural changes cannot guarantee that would cope with all future rain events. Thus, being able forecast flooding in real time one of the main issues integrated management. Runoff hydraulic models can be essential elements systems, active part system...

10.2166/hydro.2013.132 article EN Journal of Hydroinformatics 2013-02-11

Global flood management is a major issue for most cities which have to deal with worsening factors such as climate change and fast urban growth. Computer models been used model understand flooding on local scale in (25–50 km2). It has practically impossible bigger one go sufficiently high resolution due the heavy computations involved.The present paper describes new modelling approach allows large city (1000 km2) while keeping sufficient resolution, e.g. 5 m or 10 grid. The multicell applied...

10.1080/1573062x.2013.851710 article EN Urban Water Journal 2013-11-13

Natural hazards, floods especially nowadays stand as the most frequent one posing huge damages to urban environment and communities. The need reshape existing systems make them able accept a certain level of disturbance becomes important. Knowing that have dynamic characteristic changes are visible on daily regarding new technologies brings different light evaluation flood vulnerability resilience. New trends more sophisticated assets not designed natural at least all them. This puts...

10.1016/j.proeng.2016.07.411 article EN Procedia Engineering 2016-01-01

10.1016/j.pce.2008.02.002 article EN Physics and Chemistry of the Earth Parts A/B/C 2008-01-01

To better understand the impacts of flooding such that authorities can plan for adapting measures to cope with future scenarios, we have developed a modified Drivers-Pressures-State-Impact-Response (DPSIR) framework allow policy makers evaluate strategies improving flood resilience in cities. We showed this proved an effective approach assessing and urban resilience, albeit some limitations. This has difficulties capturing all important relationships cities, especially regards feedbacks....

10.1080/1573062x.2018.1508598 article EN Urban Water Journal 2018-05-28

Digital elevation models (DEMs) are crucial in flood modeling as DEM data reflects the actual topographic characteristics where water can flow model. However, a high-quality is very difficult to acquire it time consuming, costly, and, often restricted. from publicly accessible satellite, Shuttle Radar Topography Mission (SRTM), and Sentinel 2 multispectral imagery selected used train artificial neural network (ANN) improve quality of SRTM’s DEM. High-quality target training ANN. The trained...

10.3390/w12030816 article EN Water 2020-03-14

Abstract The rating curve is the most frequently used methodology for continuous river flow measurement. However, to establish a reliable difficult, takes time, and often impossible when measurement cross-section unstable. To overcome this difficulty, use of modified form Manning equation suggested express rate as function hydraulic radius longitudinal water surface slope rather than level alone, case with classical stage-discharge relationship. This formulation permits one integrate...

10.1080/02626660009492374 article FR Hydrological Sciences Journal 2000-10-01

Many problems that are encountered in regards to water balance and resources management related challenges of economic development under limited tough competition among various uses. The major infrastructure like airports remote areas have is becoming a common problem. In order overcome these difficulties, has articulate combine several respond demands while preserving the ecological quality environment. paper discusses interest implementing Smart Water Grid concept on Yeongjongdo Island,...

10.3390/su7044240 article EN Sustainability 2015-04-10

Abstract Many urban cities in Southeast Asia are vulnerable to climate change. However, these unable take effective countermeasures address vulnerabilities and adaptation due insufficient data for flood analysis. Two important inputs required analysis high accuracy Digital Elevation Model (DEM), long term rainfall record. This paper presents an innovative cost-effective hazard assessment using remote sensing technology Artificial Neural Network (ANN) overcome such lack of data. Shuttle Radar...

10.1186/s40713-018-0014-5 article EN cc-by Smart Water 2019-01-09

Hydro-meteorological drought was assessed with respect to climate change over an estuary catchment Vu Gia-Thu Bon in Central Vietnam, which economy is dependent on agriculture. The fully-distributed hydrological model MIKE SHE used simulate river flow the study region for period 1991–2010. Drought were using Standardized Precipitation Index and Runoff Index. future studied regional Weather Research Forecasting by downscaling ensemble of three global models – CCSM3.0, ECHAM5 MIROC-medium...

10.1080/02626667.2017.1346374 article EN Hydrological Sciences Journal 2017-06-26

In order to create a tool help hydrologists and authorities have good understanding about occurrences in stream flow regime together with its variation the future under impact of climate change Vu Gia Thu Bon catchment, deterministic distributed hydrological model has been developed constructed. This covers major processes hydrologic cycle including rainfall, evapotranspiration, overland flow, unsaturated groundwater channel their interactions. The is calibrated validated against daily data...

10.2166/hydro.2016.138 article EN Journal of Hydroinformatics 2016-03-19

Future water shortages require immediate action on development of resources, reduction demand and higher efficiency in treatment transmission. flood risk management requires assessment, defence alleviation systems, forecasting warning systems institutional governance measures. Technology has been revolutionized over recent years now, matured with mass production allowing wider uptake methods devices. The current situation the domain is characterized by a low level maturity concerning...

10.1016/j.proeng.2016.07.412 article EN Procedia Engineering 2016-01-01

Abstract The increasing concurrences of heatwaves and droughts in the context global warming have attracted much attention from scientific community given their devastating social environmental impacts. In this study, effects each adjacent week flash drought onset on intensification rate soil moisture were quantified through a meta-Gaussian-based conditional probability model. Results showed that both become more frequent since middle 1990s. For seasonal distributions, except for...

10.2166/nh.2023.022 article EN cc-by-nc-nd Hydrology Research 2023-06-14

The modelling of extreme hydrological events often suffers from a lack available data. Physically based models are the best option in such situations, as they can principle provide answers about behaviour ungauged catchments provided that geometry and forcings known with sufficient accuracy. need for calibration is therefore limited. In some (seen adjusting model parameters so fit calculation closely to measurements possible) impossible. This paper presents situation. MIKE SHE physically...

10.2166/hydro.2003.0020 article EN Journal of Hydroinformatics 2003-10-01

We propose an intelligent sensor system based on a new sensing methodology, relying also 3D map reconstruction techniques, for computing with high precision, in real-time and without human intervention the parameters needed stream-flow computation: water levels, morphology of streams all potentially flooded areas by each controlled stream.The collected data will be continuously transmitted, through communication infrastructure, to software agents designed compute quantify spatial...

10.1016/j.procs.2014.05.515 article EN Procedia Computer Science 2014-01-01

10.1016/j.pce.2008.02.007 article EN Physics and Chemistry of the Earth Parts A/B/C 2008-01-01

The technology evolution, with new types of sensors such as acoustic Doppler current profiler (ADCP), multibeam sonars, light detection and ranging (LIDAR) pushbroom cameras, has deeply modified the quality quantity data available on hydro-environments. hydroinformatics systems now have possibility to investigate details physical hydrodynamic process well complexity geometry continental marine environments. This situation represents a unique where all approaches (data driven physically...

10.2166/hydro.2009.143 article EN Journal of Hydroinformatics 2009-06-30
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