Flood risk management in the Souss watershed

被引:5
|
作者
Bouaakkaz, Brahim [1 ]
El Abidine El Morjani, Zine [1 ]
Bouchaou, Lhoussaine [2 ]
Elhimri, Hamza [3 ]
机构
[1] Univ Ibn Zohr, Explorat & Management Nat & Environm Resources Te, Polydisciplinary Fac Taroudant, Agadir, Morocco
[2] Ibn Zohr Univ, Fac Sci, Appl Geol & Geoenvironm Lab, Agadir, Morocco
[3] Souss Massa Hydraul Basin Agcy, Av Prince My Abdellah,BP 432, New Town, Agadir, Morocco
关键词
Flood; Disaster; Hazard; Vulnerability; Risk; Climate Change; GIS; Remote Sensing; Strategic Action Plan; Multicriteria Analysis; Watershed; Souss; Morocco;
D O I
10.1051/e3sconf/20183704005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Flooding is the most devasting natural hazards that causes more damage throughout the world. In 2016, for the fourth year in a row, it was the most costly natural disaster, in terms of global economic losses: $ 62 billion, according to a Benfield's 2016 annual report on climate and natural disasters [1]. The semi-arid to arid Souss watershed is vulnerable to floods, whose the intensity is becoming increasingly alarming and this area does not escape to the effects of this extreme event.. Indeed, the susceptibility of this region to this type of hazard is accentuated by its rapid evolution in terms of demography, uncontrolled land use, anthropogenic actions (uncontrolled urbanization, encroachment of the hydraulic public domain, overgrazing, clearing and deforestation). ), and physical behavior of the environment (higher slope, impermeable rocks, etc.). It is in this context, that we have developed a strategic plan of action to manage this risk in the Souss basin in order to reduce the human, economic and environmental losses, after the modeling of the flood hazard in the study area, using georeferenced information systems (GIS), satellite remote sensing space and multi-criteria analysis techniques, as well as the history of major floods. This study, which generated the high resolution 30m flood hazard spatial distribution map of with accuracy of 85%, represents a decision tool to identify and prioririze area with high probability of hazard occurrence. It can also serve as a basis for urban evacuation plans for anticipating and preventing flood risk in the region, in order to ovoid any dramatic disaster.
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页数:11
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