A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas

Li, Chaochao; Cheng, Xiaoyan; Li, Na; Du, Xiaohe; Yu, Qian; Kan, Guangyuan

doi:10.3390/ijerph13080787

Cited by 86 publications

(42 citation statements)

References 19 publications

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“…There are two types of flood controlling measures viz. (i) structural measures by way of constructing flood retention walls, dykes, reservoirs, detention basins, and (ii) the non-structural measures which include flood forecasting, flood proofing and flood hazard zoning (Li et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Roy

Chakravarthi

et al. 2017

Geomatics, Natural Hazards and Risk

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A multi-criteria analysis (MCA) approach to describe the effective utilization of geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) of Assam State, India is presented. The KRB is chronically flood affected due to seasonal monsoon and rise in water levels of Kopili River. Based on the MCA approach using flood hazard layer derived from the spatio-multi-temporal historic satellite data-sets (comprising of sensors from RISAT-1 SAR, Radarsat SAR and IRS AWiFS), socio-economic data (based on five census variables), infrastructure (road network) and land use vulnerabilities (cropped and uncropped areas), flood risk zones are derived. Our study elucidates that 24,837 ha of crop area spread across 95 villages in the KRB falls in high risk zone, about 39,209 ha distributed in 150 villages falls under moderate-high risk zones and remaining area spread over 162 villages is more or less unaffected. The proposed approach can be applied elsewhere in other river basins to estimate the flood risk so as to mitigate the disaster risk posed by the floods.

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Section: Introductionmentioning

confidence: 99%

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Roy

Chakravarthi

et al. 2017

Geomatics, Natural Hazards and Risk

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“…Measures taken to prevent or mitigate the impacts of floods and droughts can be identified as structural and nonstructural measures. Common structural measures, such as retention ponds, dams, river improvement, urban drainage systems, and levees or dikes, are used to store floodwater, decrease peak stage, and retain floodwater to mitigate the impact of floods [42][43][44]. Nonstructural measures include early flood warning, hydrological taxes, flood emergency planning and response, and environmental education [44,45].…”

Section: Recent Research On Disaster Reductionmentioning

confidence: 99%

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Yang

Liu

2020

Sustainability

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Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water resource management is definitely of interest to research and is a practical topic. At the same time, water-related disasters such as floods and droughts cause the loss of life and property. Disasters increase the difficulty of effective water resource management. An increase in climate extremes can also increase the risk of floods and droughts. This overview covers 150 peer-reviewed journal publications from the last twenty years focusing on risk-reduction strategies for floods and droughts. First, a definition and classification of flood and drought was introduced. Second, studies and techniques associated with risk reduction were grouped into three themes and discussed: prediction and warning; monitoring; and impact assessment, response, and management. As a result, many studies were solely focused on, and achieve excellence in, their own themes. Special attention was needed to find in these studies what can convert the adverse impacts such as flood water to positive outcomes such as drought relief. Multidisciplinary cooperation is necessary to achieve sustainability and to adapt to climate change. Finally, advanced techniques such as artificial intelligence (AI) and the internet of things (IoT) were foreseen to have a tremendous impact on future disaster risk reduction.

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“…Detailed descriptions of the PMI and MI methods can be found in relevant publications [42][43][44][45][46][47][48][49].…”

Section: Information Theory Based Data Analysis Methodsmentioning

confidence: 99%

Study on Applicability of Conceptual Hydrological Models for Flood Forecasting in Humid, Semi-Humid Semi-Arid and Arid Basins in China

Kan

Ding

et al. 2017

Water

Self Cite

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Flood simulation and forecasting in various types of watersheds is a hot issue in hydrology. Conceptual hydrological models have been widely applied to flood forecasting for decades. With the development of economy, modern China faces with severe flood disasters in all types of watersheds include humid, semi-humid semi-arid and arid watersheds. However, conceptual model-based flood forecasting in semi-humid semi-arid and arid regions is still challenging. To investigate the applicability of conceptual hydrological models for flood forecasting in the above mentioned regions, three typical conceptual models, include Xinanjiang (XAJ), mix runoff generation (MIX) and northern Shannxi (NS), are applied to 3 humid, 3 semi-humid semi-arid, and 3 arid watersheds. The rainfall-runoff data of the 9 watersheds are analyzed based on statistical analysis and information theory, and the model performances are compared and analyzed based on boxplots and scatter plots. It is observed the complexity of drier watershed data is higher than that of the wetter watersheds. This indicates the flood forecasting is harder in drier watersheds. Simulation results indicate all models perform satisfactorily in humid watersheds and only NS model is applicable in arid watersheds. Model with consideration of saturation excess runoff generation (XAJ and MIX) perform better than the infiltration excess-based NS model in semi-humid semi-arid watersheds. It is concluded more accurate mix runoff generation theory, more stable and efficient numerical solution of infiltration equation and rainfall data with higher spatial-temporal resolution are main obstacles for conceptual model-based flood simulation and forecasting.

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A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas

Cited by 86 publications

References 19 publications

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Study on Applicability of Conceptual Hydrological Models for Flood Forecasting in Humid, Semi-Humid Semi-Arid and Arid Basins in China

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