Integrated flood hazard assessment based on spatial ordered weighted averaging method considering spatial heterogeneity of risk preference

Xiao, Yong; Yi, Shanzhen; Tang, Zhongqian

doi:10.1016/j.scitotenv.2017.04.218

Cited by 108 publications

(69 citation statements)

References 38 publications

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“…Early studies on disaster risk assessment methods mainly focused on qualitative assessment methods, but due to the uncertainty of disaster assessment, the qualitative assessment could not meet the research needs; thus research gradually moved from qualitative methods to a combination of qualitative and quantitative methods, or fully quantitative methods [17][18][19][20]. At present, risk assessments are based on four main methods: (1) Mathematical statistics, a method usually used to calculate the intensity and frequency of disaster occurrence from historical disaster data and loss data [21,22]; (2) an indicators system, which usually selects reasonable disaster indicators and determines the weight of each indicator to build a risk assessment model and then conduct a comprehensive risk assessment [8,[23][24][25][26]; (3) RS-GIS technique, in which the satellite remote sensing data are processed and analyzed to determine the flood area and disaster high-risk area with the help of GIS technology [27,28]; and (4) scenario simulation, a method that conducts hydrological and hydrodynamic models to simulate flood scenarios [29][30][31]. Lots of studies show that the second disaster risk assessment method can reflect the regional risk situation on a macro level, and it has been widely applied because it is simple to conduct.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China

Zhang

Chen

2019

Sustainability

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China’s coastal areas suffer from typhoon attacks every year. Rainstorms induced by typhoons characteristically are high intensity with a large amount of rain and usually induce floods and waterlogging in the affected area. Guangdong province has the highest frequency of typhoon hits in China. It has a special geographical position as well as unique climatic features, but the typhoon flood disaster risk has not been fully assessed in this area. This article attempts to fill this gap by providing a comprehensive risk assessment for the area. By combining the Analytical Hierarchy Process (AHP) and multi-factor analysis through geographic information system (GIS) and the comprehensive weighted evaluation, the typhoon flood disaster risk is evaluated from four different aspects with seventeen indicators. A comprehensive study of the typhoon flood disaster risk is carried out, and the risk maps with a resolution of 1 km2 have been made. There is a good coherence between the typhoon flood risk map and historical records of typhoon floods in Guangdong province. The results indicate that the comprehensive typhoon flood disaster risk in the coastal regions of Guangdong province is obviously higher than in the Northern mountainous areas. Chaoshan plain and Zhanjiang city have the highest risk of typhoon flood disaster. Shaoguan and Qingyuan cities, which are in the Northern mountainous areas, have the lowest risk. The spatial distribution of typhoon flood disaster risks shows that it has certain regulations along the coast and rivers, but it may be affected by economic and human activities. This article is significant for environmental planning and disaster management strategies of the study area as well as in similar climatic regions in other parts of the world.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China

Zhang

Chen

2019

Sustainability

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“…In detail, the research and assessment result were divided into four types according to risk level in the Jiangsu province of China. Xiao, Yi and Tang (2017) made an assessment of flood prone areas which was of great importance for watershed management. Small wastewater treatment systems sustainability was evaluated by a composite indicator approach (Molinos-Senante, Gómez, Garrido-Baserba, Caballero, & Sala-Garrido, 2014).…”

Section: Introductionmentioning

confidence: 99%

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

Zhou

Dou

Zhang

et al. 2018

Journal of Environmental Engineering and Landscape Management

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As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.

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“…In the current literature, one can find modified options and hybrid approaches, such as the fuzzy AHP [33] and Monte Carlo simulation-aided AHP (MC-AHP) [34], which have both been used in flood hazard assessment. AHP has also been integrated with a suitability assessment model to evaluate flood risks in a spatial manner [35].…”

Section: Resultsmentioning

confidence: 99%

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

Patrikaki¹,

Kazakis

Kougias

et al. 2018

Geosciences

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Defining flood-prone areas is particularly important for policy makers, in order to design mitigation strategies and implement flood risk management planning. The present research applies a multicriteria index method to assess flood hazard areas at a river basin scale, in a geographic information system (GIS) environment. The developed methodology has been applied for an area in northeastern Greece, by processing information of seven parameters: flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The method assigns a relative importance to each of the parameters for the occurrence and magnitude of flooding, and the relevant weight values are defined through an "analytical hierarchy process". Subsequently, and according to the relative importance of each index, the spatial information is superimposed, resulting in a flood hazard map of the studied region, an area in northern Greece. The obtained results indicate flood-prone zones, with a very high flood hazard mainly occurring at the lowlands in the vicinity of the drainage network. The provided flood hazard map supports planning activities and mitigation plans that are crucial to protect both the agricultural activities and existing infrastructure from future flood events.

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Integrated flood hazard assessment based on spatial ordered weighted averaging method considering spatial heterogeneity of risk preference

Cited by 108 publications

References 38 publications

Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China

Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

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

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