Dynamic Assessment of Flood Hazard Based on Points-of-Interest Data

In order to better formulate flood prevention and disaster mitigation measures and reduce the impact of urban flood on social development, it is necessary to conduct a scientific and accurate flood hazard assessment. The development of big data technology has brought new opportunities for flood hazard assessment. This study used a coupling model to simulate urban flood, and used the HR method to classify flood hazard. The dynamic change process of two types of Points-of-Interest(POIs) for catering services and living services under different flood hazard degrees were counted. The results showed that (1) In the northern part of the basin, mountainous, impervious ground and the lack of effective drainage channels have combined to cause more serious floods; (2) The flood hazard were mainly low-degree in the study area. Moderate flood hazard mainly occurred in farmland and built-up land. High-degree and extreme-degree flood hazard mainly occurred on both sides of rivers in the northwest of the basin; (3) Affected by the rainfall pattern, the number of POI affected by flood presented the characteristics of “three stages” under four flood hazard degrees; (4) The POIs of the two services was most seriously affected by the flood when the rainfall just stopped; (5) In terms of the proportion of POIs affected by floods, the impact of floods on the two industries is basically the same, but from the perspective of the number of POIs affected by floods, catering services will be more affected; (6) The spatial location of the POIs led to a slight difference in the trend of the number of POIs under high-degree and extreme-degree flood hazard. This study provided a new method for urban flood hazard dynamic assessment, which could help decision makers formulate more targeted flood prevention and disaster mitigation measures

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A comparative analysis of 3-D representations of urban flood map in virtual environments for hazard communication purposes

E3S Web of Conferences ◽

10.1051/e3sconf/20184006037 ◽

2018 ◽

Vol 40 ◽

pp. 06037 ◽

Cited By ~ 1

Author(s):

Rosa De Santis ◽

Francesco Macchione ◽

Pierfranco Costabile ◽

Carmelina Costanzo

Keyword(s):

Comparative Analysis ◽

Water Level ◽

Laser Scanning ◽

Flood Hazard ◽

Flood Hazards ◽

Urban Flood ◽

Hazard Communication ◽

The Public ◽

The Individual ◽

The Impact

The flood hazard/risk maps do not allow a non-expert audience an immediate perception of the flooding impacts. Therefore, we need to modernize maps providing new communication approaches. In this context, 3-D representations of flood inundation through emerging formats in virtual and augmented realities may be considered as a powerful tool to engage users with flood hazards. The challenge of the research is to create a virtual 3-D environment aimed at supporting the public, practitioners and decision-makers in interpreting and understanding the impact of simulated flood hazards. For this purpose, the paper aims to perform a comparative analysis of two techniques to carry out the 3-D realistic visualizations of a flood map for representing a potential flooding of the Crati River, in the old town of Cosenza (South of Italy). The first approach develops a simple and quick workflow that provides an overall look at a neighbourhood level, but reveals some limits in water level visualization at the individual buildings scale. The second one requires additional terrestrial laser scanning (TLS) acquisition and overcomes some limits of the first approach, by providing a visual insight about water level close to building façades.

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Assessing the impact of topography and land cover data resolutions on two-dimensional HEC-RAS hydrodynamic model simulations for urban flood hazard analysis

Natural Hazards ◽

10.1007/s11069-020-03906-z ◽

2020 ◽

Vol 101 (3) ◽

pp. 995-1017 ◽

Cited By ~ 2

Author(s):

Emrah Yalcin

Keyword(s):

Land Cover ◽

Hydrodynamic Model ◽

Flood Hazard ◽

Hazard Analysis ◽

Two Dimensional ◽

Urban Flood ◽

Model Simulations ◽

Land Cover Data ◽

The Impact

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Modeling the Impact of Building-Level Flood Mitigation Measures Made Possible by Early Flood Warnings on Community-Level Flood Loss Reduction

Buildings ◽

10.3390/buildings11100475 ◽

2021 ◽

Vol 11 (10) ◽

pp. 475

Author(s):

Omar M. Nofal ◽

John W. van de van de Lindt ◽

Harvey Cutler ◽

Martin Shields ◽

Kevin Crofton

Keyword(s):

Flood Risk ◽

Risk Model ◽

Flood Hazard ◽

Community Level ◽

Flood Mitigation ◽

Precipitation Forecast ◽

Mitigation Measures ◽

Flood Vulnerability ◽

The Impact ◽

Flood Warnings

The growing number of flood disasters worldwide and the subsequent catastrophic consequences of these events have revealed the flood vulnerability of communities. Flood impact predictions are essential for better flood risk management which can result in an improvement of flood preparedness for vulnerable communities. Early flood warnings can provide households and business owners additional time to save certain possessions or products in their buildings. This can be accomplished by elevating some of the water-sensitive components (e.g., appliances, furniture, electronics, etc.) or installing a temporary flood barrier. Although many qualitative and quantitative flood risk models have been developed and highlighted in the literature, the resolution used in these models does not allow a detailed analysis of flood mitigation at the building- and community level. Therefore, in this article, a high-fidelity flood risk model was used to provide a linkage between the outputs from a high-resolution flood hazard model integrated with a component-based probabilistic flood vulnerability model to account for the damage for each building within the community. The developed model allowed to investigate the benefits of using a precipitation forecast system that allows a lead time for the community to protect its assets and thereby decreasing the amount of flood-induced losses.

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Understanding the Resilience of Different Farming Strategies in Coping with Geo-Hazards: A Case Study in Chongqing, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17041226 ◽

2020 ◽

Vol 17 (4) ◽

pp. 1226 ◽

Cited By ~ 2

Author(s):

Li Peng ◽

Jing Tan ◽

Wei Deng ◽

Ying Liu

Keyword(s):

Social Support ◽

Logit Model ◽

Adaptation Strategy ◽

Disaster Mitigation ◽

Mitigation Measures ◽

Crop Loss ◽

Smallholder Farming ◽

Agricultural Income ◽

Disaster Experience ◽

The Impact

Adjusting farming strategies are adaptive behaviors to cope with hazard risks. However, few studies have studied rural and remote mountain areas in China with little known about “farmers’ adaptation under the impact of geo-hazards”. Unlike traditional farmers’ behavioral adaptation studies, in this study, we focused on the resilience of farmers’ behavioral mechanisms to address local hazards such as geo-hazards. Our data were acquired through questionnaire responses (N = 516) in mountainous hazard-prone areas in Chongqing, China. The binary logit model and multinomial logit model were used to investigate the obstacles to different farming strategies and the determinants of adaptation strategy choice, focusing on the effects of disaster experience and social support on the adaptation strategy resilience. The results show that the most common adaptation strategy was adjusting crop varieties, and the largest adaptation obstacle was a lack of funds. Additionally, the age of the smallholder, farming acreage, agricultural income, social support, and disaster experience significantly increased the possibility of farmers adjusting their agricultural production. Of these, smallholder agricultural income, state disaster subsidy, the presence of disaster prevention construction, the smallholder’s property, and the presence of disaster-caused crop loss experience were the most important factors affecting a farmer’s adaptation strategy. In particular, farmers were more sensitive to disaster-caused property loss than to disaster-caused crop loss. This study can provide implications for the government to formulate disaster mitigation measures and for farming strategies at the smallholder level.

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A Fundamental Research on Countermeasure of Disaster Mitigation and Impact Force to Cause Drifting Ship

Volume 6: Ocean Space Utilization ◽

10.1115/omae2017-62178 ◽

2017 ◽

Author(s):

Kazuki Murata ◽

Koichi Masuda ◽

Tomoki Ikoma ◽

Hiroaki Eto ◽

Yasuhiro Aida ◽

...

Keyword(s):

Impact Force ◽

Disaster Mitigation ◽

Mitigation Measures ◽

Coastal Structures ◽

Mps Method ◽

Port Facilities ◽

Shipping Containers ◽

Fundamental Research ◽

Moving Particle ◽

The Impact

The damage investigations that followed the Great East Japan Earthquake revealed that automobiles, shipping containers, and even ships themselves had been caught up in the resulting tsunami before being hurled into various port facilities, causing immense damage. The damage characteristics of such collisions must be an integral part of disaster mitigation measures aimed at reducing damage due to drifting ships. When considering the impact force of massive vessels on port facilities, it is necessary to take into account the changes in the drift velocity of the vessels due to waves reflected from the facilities and other coastal structures. In previous studies, the moving particle semi-implicit (MPS) method has been adopted to examine cascading tsunami flotsam damage by means of numerical simulations. In the present study, we use the MPS method to examine the drifting behavior and impact force of ships moored to an actual harbor, taking into account waves reflected from coastal area structures. Based on the results, we discuss the applicability of this method to disaster mitigation measures.

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Urban flood hazard assessment in the basin of Athens Metropolitan city, Greece

Environmental Earth Sciences ◽

10.1007/s12665-015-5157-1 ◽

2016 ◽

Vol 75 (4) ◽

Cited By ~ 55

Author(s):

G. D. Bathrellos ◽

E. Karymbalis ◽

H. D. Skilodimou ◽

K. Gaki-Papanastassiou ◽

E. A. Baltas

Keyword(s):

Hazard Assessment ◽

Flood Hazard ◽

Urban Flood ◽

Metropolitan City ◽

Flood Hazard Assessment

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Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Remote Sensing ◽

10.3390/rs13193924 ◽

2021 ◽

Vol 13 (19) ◽

pp. 3924

Author(s):

Xin Su ◽

Weiwei Shao ◽

Jiahong Liu ◽

Yunzhong Jiang ◽

Kaibo Wang

Keyword(s):

Return Period ◽

Flood Hazard ◽

Dynamic Assessment ◽

Dynamic Change ◽

Flood Disaster ◽

Initial Time ◽

Peak Time ◽

Rapid Urbanization ◽

Disaster Loss ◽

The Impact

In the context of climate change and rapid urbanization, flood disaster loss caused by extreme rainstorm events is becoming more and more serious. An accurate assessment of flood disaster loss has become a key issue. In this study, extreme rainstorm scenarios with 50- and 100-year return periods based on the Chicago rain pattern were designed. The dynamic change process of flood disaster loss was obtained by using a 1D–2D coupled model, Hazard Rating (HR) method, machine learning, and ArcPy script. The results show that under extreme rainstorm events, the direct economic loss and affected population account for about 3% of the total GDP and 16% of the total population, respectively, and built-up land is the main disaster area. In addition, the initial time and the peak time of flood disaster loss increases with an increasing flood hazard degree and decreases with the increase in the return period. The total loss increases with the increase in the return period, and the unit loss decreases with the increase in the return period. Compared with a static assessment, a dynamic assessment can better reveal the development law of flood disaster loss, which has great significance for flood risk management and the mitigation of flood disaster loss.

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INDEK KERENTANAN DAN AMPLIFIKASI TANAH AKIBAT GEMPA DI WILAYAH UNIVERSITAS MUHAMMADIYAH JEMBER

Jurnal Media Teknik Sipil ◽

10.22219/jmts.v12i2.2287 ◽

2015 ◽

Vol 12 (2) ◽

Author(s):

Muhtar . ◽

Arief Alihudien

Keyword(s):

Seismic Vulnerability ◽

Multicriteria Analysis ◽

Vulnerability Index ◽

Research Area ◽

Disaster Mitigation ◽

Mitigation Measures ◽

Land Values ◽

Soil Amplification ◽

Residential Areas ◽

The Impact

INDEK KERENTANAN DAN AMPLIFIKASI TANAH AKIBAT GEMPA DI WILAYAH UNIVERSITAS MUHAMMADIYAH JEMBERVulnerability and Soil Amplification Index Due to Earthquake in The University Muhammadiyah JemberMuhtar1 & Arief Alihudien21Jurusan Teknik Sipil Fakultas Teknik – Universitas Muhammadiyah Jember2Jurusan Teknik Sipil Fakultas Teknik – Universitas Muhammadiyah JemberAlamat Korespondensi : Perum Taman Bambu B-01 Jember 68124Email : 1)[email protected] phenomena of earthquakes until now could not be predicted and the exact time it happened. Earthquake danger can not be avoided but its impact can be reduced through assessment activities characteristic earthquakes in a region that will be applied in the selection of methods and policies for disaster risk management. Residential areas adjacent to the source of the earthquake is an earthquake-prone area so, therefore it is necessary strategic steps to protect the public and disaster mitigation measures are an attempt to reduce or minimize the impact of loss or damage that may be caused by the disaster. The study was conducted to provide information to the seismic vulnerability using multicriteria analysis of conditions in the region include University of Muhammadiyah Jember dominant period land values and the value of the amplification factor. The experiment was conducted using subsurface observation with mikrotremoR. From the results of geological studies research area is the basic constituent of igneous rocks such as tuff Argopuro. The results showed that the natural frequency of the soil and soil amplification is at 2,692 and 4,625 Hz. whereas soil vulnerability index value is equal to 7,946.Key Words : seismic, vulnerability, indexAbstrakFenomena alam gempa bumi sampai saat ini belum bisa diprediksi dan waktu yang tepat itu terjadi . Bahaya gempa tidak dapat dihindari namun dampaknya dapat dikurangi melalui kegiatan penilaian gempa bumi karakteristik di daerah yang akan diterapkan dalam pemilihan metode dan kebijakan untuk manajemen risiko bencana . Daerah pemukiman yang berdekatan dengan sumber gempa adalah daerah rawan gempa sehingga , oleh karena itu langkah-langkah strategis yang diperlukan untuk melindungi tindakan publik dan mitigasi bencana merupakan upaya untuk mengurangi atau meminimalkan dampak kerugian atau kerusakan yang mungkin disebabkan oleh bencana. Penelitian ini dilakukan untuk memberikan informasi kepada kerentanan seismik menggunakan analisis multikriteria kondisi di kawasan ini mencakup Universitas Muhammadiyah Jember nilai tanah periode dominan dan nilai faktor amplifikasi . Penelitian dilakukan dengan menggunakan observasi bawah permukaan dengan mikrotremoR. Dari hasil daerah penelitian studi geologi adalah konstituen dasar batuan beku seperti tuf Argopuro . Hasil penelitian menunjukkan bahwa frekuensi alami amplifikasi tanah dan tanah di 2,692 dan 4.625 Hz . sedangkan nilai indeks kerentanan tanah sama dengan 7946 .Kata Kunci : seismik , kerentanan , indeks

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The impact of using bias-corrected precipitation in estimating extreme discharge: A study over the Italian Territory

10.5194/egusphere-egu21-13201 ◽

2021 ◽

Author(s):

Matilde García-Valdecasas Ojeda ◽

Erika Coppola ◽

Fabio Di Sante ◽

Francesca Raffaele ◽

Rita Nogherotto ◽

...

Keyword(s):

Climate Change ◽

Hazard Assessment ◽

Climate Models ◽

Hydrological Model ◽

Flood Hazard ◽

Regional Climate ◽

Spatiotemporal Resolution ◽

Flood Hazard Assessment ◽

The Impact ◽

Italian Territory

A common way to study the impact of climate change on water resources is through hydrological models fed by precipitation from global or regional climate models (GCMs and RCMs, respectively). However, precipitation from climate models is usually affected by systematical biases that may produce inadequate streamflow estimations. For this reason, users find it necessary to apply some bias-corrected technique to reduce errors in precipitation before its use in hydrological simulations. Among the different methods, quantile mapping (QM) is a widely used method as it has shown satisfactory results for historical conditions.In recent years, several studies have investigated the QM method, with a focus on mean precipitations. However, it remains quite uncertain how bias-corrected precipitation modifies river discharges, particularly the extreme discharges on a sub-daily timescale. In this framework, this study aims to quantify differences between simulated river discharges using corrected and uncorrected precipitation to feed a hydrological model in the context of flood hazard assessment in Italy.To adequately estimate flood events, high spatiotemporal resolution data are required. Therefore, sub-daily precipitation outputs from the ICTP RegCM Regional Climate Model driven by the HadGEM2-ES model at 12 km were contemplated in this study. Precipitation outputs for the period 1976-2100 were bias-corrected concerning the observations from GRIPHO, which is a high-resolution observational product. Then, bias-corrected and uncorrected precipitations were used to feed the CETEMPS Hydrological Model (CHyM) completing thus, a set of hydrological simulations covering the entire Italian Territory, in both present-day and future conditions. Analyses focused on the comparison between simulated and observed discharges for present-day conditions, but also on the comparison between corrected and uncorrected values &#8203;&#8203;in the future.The results of this study could provide valuable information on whether the use of the QM method is appropriate for studying extreme discharges on a sub-daily scale, an essential issue for assessing the impacts of climate change on extreme hydrological events.Keywords: flood hazard assessment, quantile delta mapping, CHyM model, RegCM model, ItalyAcknowledgments: The research reported in this work was supported by OGS and CINECA under HPC-TRES program award number 2020-02.

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