Assessing Flood Hazard at River Basin Scale with an Index-Based Approach: The Case of Mouriki, Greece

Patrikaki, Olga; Kazakis, Nerantzis; Kougias, Ioannis; Patsialis, Thomas; Theodossiou, Nicolaos; Voudouris, Konstantinos

doi:10.3390/geosciences8020050

Cited by 37 publications

(29 citation statements)

References 31 publications

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“…The slope is strongly correlated to both the volume and the velocity of the surface runoff, as well as the infiltration to the groundwater. Flat areas flood quicker than inclined areas where runoff flows further down [22]. Refers to the slope class at the study location, we found that the slope is dominated by steep slope class (45-65%) (fig.…”

Section: B) Hazard Indexmentioning

confidence: 64%

Flood Risk Assessment and Its Vulnerability in Coastal Villages, Central Halmahera District – North Maluku

Lessy¹,

Wahiddin²,

Nagu³

2018

Proceedings of the International Conference on Science and Technology (ICST 2018)

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Floods that occurred in Central Halmahera district had given a significant impact on environmental damage. This study aims to assess the risk level of flood and calculate vulnerability in study areas. The vulnerability will calculate based on social, economic and environmental aspects. Furthermore, the flood risk will be shown on risk map that refers to hazard index, and vulnerability index. The hazard index parameter was based on the high, the duration and the frequency of the flood. The vulnerability index parameter was based on the number of peoples, the sex ratio, vulnerability peoples, poverty ratio, number of facilities, and natural resources. Those parameters were analyzed by using guidelines for disaster risk assessment authorized by the National Disaster Management Agency. The result shows that the total vulnerability index found six villages at a high category and nine villages at the moderate category. Meanwhile, the risk map displays that almost all the village areas have a flood risk level varies from low to high risk. Low-risk areas are generally located in high altitudes. While high-risk areas are dominated on village areas.

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Section: B) Hazard Indexmentioning

confidence: 64%

Flood Risk Assessment and Its Vulnerability in Coastal Villages, Central Halmahera District – North Maluku

Lessy¹,

Wahiddin²,

Nagu³

2018

Proceedings of the International Conference on Science and Technology (ICST 2018)

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“…A number of studies have used the multicriteria analysis method [21][22][23][24][25][26][27][28][29][30]. Hydraulic modeling using the HEC-RAS program is one of the most important methods used to model flood hazards in urban areas because it provides one-and two-dimensional models for the spread, depth, and speed of floodwater [6,9,[31][32][33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Mapping of GIS-Flood Hazard Using the Geomorphometric-Hazard Model: Case Study of the Al-Shamal Train Pathway in the City of Qurayyat, Kingdom of Saudi Arabia

Abdelkarim¹,

Al-Alola

Alogayell

et al. 2020

Geosciences

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Drainage basins in dry and semiarid environments are exposed to sudden, irregular flooding that poses a threat to urban areas and infrastructure. The associated risk is exacerbated by land use changes. Geomorphometric analyses of drainage basins based on geographic information systems (GIS) are essential tools for assessing conceptual flood hazards. Geomorphological data extracted from high-precision digital elevation models (DEMs) provide valuable information for modeling the geomorphic, surface classifications of the earth, and for flood hazard mapping. This study aimed to develop an integrative approach to the mapping of flood hazards along the Al-Shamal train pathway in the city of Qurayyat in the Kingdom of Saudi Arabia (KSA) using GIS and hazard modeling for geomorphological ranking. Furthermore, we propose strategic solutions to provide mitigation and protection from negative impacts with the aim of improving the level of awareness of flood geomorphology. The hazard model of geomorphological ranking was used in mapping and calculating the degree of hazards using 24 geomorphometric criteria. These criteria were divided into formal criteria, terrain criteria, and criteria related to the drainage network. The results of the study revealed that the drainage sub-basins are exposed to flood hazards along the Al-Shamal train pathway in the city of Qurayyat. The very high flood hazard constituted 4228.3 km2, accounting for 70.3% and 65.7%, respectively, of the drainage basins of the wadis of Makhrouq and Bayer. The high flood hazard represented 61% (4712.4 km2) of the basin of the wadis of Sarmadaa. The medium flood hazard was concentrated in the drainage basin of the wadi of Hasidah, accounting for nearly 57.7% (1271.3 km2). The very low flood hazard was present in 46.5% of the drainage basin of the wadis of Hasidah Umm Nakhla, accounting for an area of 799.4 km2. The methodology applied in this study can be used in the estimation of flood hazards in different drainage basins throughout Saudi Arabia and in similar arid regions.

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“…Floods can potentially cause fatalities, displacement of people and damage to the environment, to severely compromise economic development and to undermine the economic activities of every community that suffers the effects of these destructive environmental hazards (Patrikaki et al 2018;Zhong et al 2018;Birkholz et al 2014;Mouratidis and Sarti 2013;Yésou et al 2013;Astaras et al 2011). During the last decade, such phenomena have also plagued Greece, with their majority occurring in the eastern part of the region of Thrace (Kazakis et al 2015;Nikolaidou et al 2015;Mouratidis 2011;Mouratidis et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Flood susceptibility mapping in Erythropotamos river basin with the aid of Remote Sensing and GIS

Domakinis¹,

Mouratidis²,

Voudouris³

et al. 2020

Auc Geographica

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Erythropotamos is a tributary of river Evros and during the last decade its drainage basin flooded many times, causing extensive damage on properties. In order to assess flood susceptibility in the aforementioned study area, the inundated areas of floods that occurred in 2010, 2017 and 2018 were initially delineated with the aid of SAR (Synthetic Aperture Radar) imagery by applying an established flood delineation methodology. Subsequently, flood susceptibility mapping was conducted for the study area by applying the Analytical Hierarchy Process (AHP). Topographical, hydrological and meteorological factors were used and each one of them was classified into three (3) flood susceptibility categories (low, medium and high). The determination of the importance for each factor over the others, which is the main objective of this research, was decided according to the proportion of the 2010 inundated area, captured by ENVISAT/ASAR imagery, which intersected with each factor's high susceptibility class. Finally, the resulting flood susceptibility map was validated according with the inundated areas of the 2017 and 2018 flood events, captured by SENTINEL -1 A/B imagery, indicating that approximately 60% of both of these areas intersected with the map's high susceptibility zone.

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Assessing Flood Hazard at River Basin Scale with an Index-Based Approach: The Case of Mouriki, Greece

Cited by 37 publications

References 31 publications

Flood Risk Assessment and Its Vulnerability in Coastal Villages, Central Halmahera District – North Maluku

Flood Risk Assessment and Its Vulnerability in Coastal Villages, Central Halmahera District – North Maluku

Mapping of GIS-Flood Hazard Using the Geomorphometric-Hazard Model: Case Study of the Al-Shamal Train Pathway in the City of Qurayyat, Kingdom of Saudi Arabia

Flood susceptibility mapping in Erythropotamos river basin with the aid of Remote Sensing and GIS

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