Assessing and zoning of typhoon storm surge risk with  a geographic information system (GIS) technique:  a case study of the coastal area of Huizhou

Abstract. Storm surge is one of the most destructive marine disasters to life and property for Chinese coastal regions, especially for Guangdong Province. In Huizhou city, Guangdong Province, due to the high concentrations of chemical and petroleum industries and the high population density, the low-lying coastal area is susceptible to the storm surge. Therefore, a comprehensive risk assessment of storm surge over the coastal area of Huizhou can delimit zones that could be affected to reduce disaster losses. In this paper, typhoon intensity for the minimum central pressure of 880, 910, 920, 930, and 940 hPa (corresponding to a 1000-, 100-, 50-, 20-, and 10-year return period) scenarios was designed to cover possible situations. The Jelesnianski method and the Advanced Circulation (ADCIRC) model coupled with the Simulating Waves Nearshore (SWAN) model were utilized to simulate inundation extents and depths of storm surge over the computational domain under these representative scenarios. Subsequently, the output data from the coupled simulation model (ADCIRC–SWAN) were imported to the geographic information system (GIS) software to conduct the hazard assessment for each of the designed scenarios. Then, the vulnerability assessment was made based on the dataset of land cover types in the coastal region. Consequently, the potential storm surge risk maps for the designed scenarios were produced by combining hazard assessment and vulnerability assessment with the risk matrix approach. The risk maps indicate that due to the protection given by storm surge barriers, only a small proportion of the petrochemical industrial zone and the densely populated communities in the coastal areas were at risk of storm surge for the scenarios of 10- and 20-year return period typhoon intensity. Moreover, some parts of the exposed zone and densely populated communities were subject to high and very high risk when typhoon intensities were set to a 50- or a 100-year return period. Besides, the scenario with the most intense typhoon (1000-year return period) induced a very high risk to the coastal area of Huizhou. Accordingly, the risk maps can help decision-makers to develop risk response plans and evacuation strategies in coastal communities with a high population density to minimize civilian casualties. The risk analysis can also be utilized to identify the risk zones with the high concentration of chemical and petroleum industries to reduce economic losses and prevent environmental damage caused by the chemical pollutants and oil spills from petroleum facilities and infrastructures that could be affected by storm surge.

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Assessing and zoning of typhoon storm surge risk with GIS technique: A case study of the coastal area of Huizhou

10.5194/nhess-2020-130 ◽

2020 ◽

Author(s):

Si Wang ◽

Lin Mu ◽

Zhenfeng Yao ◽

Jia Gao ◽

Enjin Zhao

Keyword(s):

High Risk ◽

Storm Surge ◽

Return Period ◽

Coastal Area ◽

Guangdong Province ◽

High Population Density ◽

High Concentration ◽

Typhoon Intensity ◽

Risk Maps ◽

Very High

Abstract. Storm surge is one of the most destructive marine disasters to life and property for Chinese coastal regions, especially for Guangdong province. In Huizhou city, Guangdong province, due to the high concentration of chemical and petroleum industries and the high population density, the low-lying coastal area is susceptible to the storm surge. Therefore, a comprehensive risk assessment of storm surge over the coastal area of Huizhou can delimit zones that could be affected to reduce disaster losses. In this paper, typhoon intensity for the minimum central pressure of 880 hPa, 910 hPa, 920 hPa, 930 hPa, and 940 hPa (corresponding to 1000-year, 100-year, 50-year, 20-year, and 10-year return period) scenarios were designed to cover possible situations. The Jelesnianski method and the Advanced Circulation (ADCIRC) model coupled with the Simulating Waves Nearshore (SWAN) model were utilized to simulate inundation extents and depths of storm surge over the computational domain under these representative scenarios. Subsequently, the output data from the coupled simulation model (ADCIRC–SWAN) were imported to Geographical Information System (GIS) software to conduct the hazard assessment for each of the designed scenarios. Then, the vulnerability assessment was made based on the dataset of land cover types in the coastal region. Consequently, the potential storm surge risk maps for the designed scenarios were produced by combining hazard assessment and vulnerability assessment with the risk matrix approach. The risk maps indicate that due to the protection given by storm surge barriers, only a small proportion of the petrochemical industrial zone and the densely populated communities in the coastal areas were at risk of storm surge for the scenarios of 10-year and 20-year return period typhoon intensity. Moreover, some parts of the exposed zone and densely populated communities were subject to high and very high risk when typhoon intensities were set to a 50-year or a 100-year return period. Besides, the scenario with the most intense typhoon (1000-year return period) induced the very high risk to the coastal area of Huizhou. Accordingly, the risk maps can help decision-makers to develop risk response plans and evacuation strategies in coastal communities with the high population density to minimize civilian casualties. The risk analysis can also be utilized to identify the risk zones with the high concentration of chemical and petroleum industries to reduce economic losses and prevent environmental damage caused by the chemical pollutants and oil spills from petroleum facilities and infrastructures that could be affected by storm surge.

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Debris Flow Risk Mapping Based on GIS and Extenics

10.5194/nhess-2018-147 ◽

2018 ◽

Author(s):

Wenbo Xu ◽

Xueru Zhang ◽

Yangjuan Zou ◽

Chunyu Zhang ◽

Siyu Liu

Keyword(s):

Risk Assessment ◽

Information System ◽

Geographic Information System ◽

High Risk ◽

Debris Flow ◽

Large Scale ◽

Strong Support ◽

Geographic Information ◽

Sichuan Province ◽

Very High

Abstract. Debris flow, a very dangerous natural disaster, frequently occurs in mountainous areas of Sichuan province. China. Here, we applied the extenics method, which is normally used in single debris flow risk assessment, towards a large-scale debris flow risk assessment for the first time, and built the classical matter elements and joint domain matter elements for assessment of the debris flow risks in Sichuan province. Eight factors, including relative elevation, slope, rock hardness, rainfall, gully density, vegetation coverage, occurrences of historical debris flow and historical earthquake occurrences were selected for debris flow assessment by using geographic information system technology and weight analysis approach. Based on the risk assessment, the debris flow risk map was generated. Results indicate that areas with high risk and very high risk accounted for 21.32 % and 14.35 % of the whole province, respectively. 76 % of the verification points fall within the moderate, high and very high risk areas, suggesting high accuracy of extenics method in large-scale assessment areas. Thus, the Geographic Information System (GIS) and extenics based methods could provide a strong support for debris flow management in the region.

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Vulnerability assessment of storm surges in the coastal area of Guangdong Province

Natural Hazards and Earth System Science ◽

10.5194/nhess-11-2003-2011 ◽

2011 ◽

Vol 11 (7) ◽

pp. 2003-2010 ◽

Cited By ~ 34

Author(s):

K. Li ◽

G. S. Li

Keyword(s):

Land Use ◽

Storm Surge ◽

Vulnerability Assessment ◽

Coastal Area ◽

Storm Surges ◽

Guangdong Province ◽

Practical Significance ◽

Environmental Index ◽

Study Region ◽

Coastal Cities

Abstract. Being bordered by the South China Sea and with long coastline, the coastal zone of Guangdong Province is often under severe risk of storm surges, as one of a few regions in China which is seriously threatened by storm surges. This article systematically analyzes the vulnerability factors of storm surges in the coastal area of Guangdong (from Yangjing to Shanwei). Five vulnerability assessment indicators of hazard-bearing bodies are proposed, which are social economic index, land use index, eco-environmental index, coastal construction index, and disaster-bearing capability index. Then storm surge vulnerability assessment index system in the coastal area of Guangdong is established. Additionally, the international general mode about coastal vulnerability assessment is improved, and the vulnerability evolution model of storm surges in the coastal area of Guangdong is constructed. Using ArcGIS, the vulnerability zoning map of storm surges in the study region is drawn. Results show that there is the highest degree of storm surge vulnerability in Zhuhai, Panyu, and Taishan; second in Zhongshan, Dongguan, Huiyang, and Haifeng; third in Jiangmen, Shanwei, Yangjiang, and Yangdong; fourth in Baoan, Kaiping, and Enping; and lowest in Guangzhou, Shunde, Shenzhen, and Longgang. This study on the risk of storm surges in these coastal cities can guide the land use of coastal cities in the future, and provide scientific advice for the government to prevent and mitigate the storm surge disasters. It has important theoretical and practical significance.

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Deteksi Zona Rawan Tsunami Pesisir Kota Bandar Lampung Menggunakan Data Geospasial Berbasis Sistem Informasi Geografis

Jurnal Ilmiah Teknik Pertanian - TekTan ◽

10.25181/tektan.v12i3.1933 ◽

2021 ◽

Vol 12 (3) ◽

pp. 134-146

Author(s):

Iskandar Zulkarnain ◽

I gde Darmaputra ◽

Aniessa Rinny Asnaning

Keyword(s):

Spatial Analysis ◽

High Risk ◽

Coastal Area ◽

Tidal Wave ◽

Tsunami Hazard ◽

Wave Impact ◽

Overlay Method ◽

Source Of Information ◽

Very High ◽

Risk Categories

The Bandar Lampung coastal area naturally has the potential of a tsunami hazard. Historically the coastal area of Bandar Lampung City had been hit by a tsunami with a height of 10-30 meters in 1883 when the eruption of Mount Krakatau occurred. The partial collapse of Mount Krakatau, which occurred at the end of 2018, also had a tidal wave impact as high as 1-2 meters in the Bandar Lampung coastal area. This study aims to produce Thematic Maps of Tsunami Hazard Zones in the Coastal Areas of Bandar Lampung City as a source of information for the community and stakeholders. The method used is spatial analysis with GIS through the overlay method. The result shown that eight sub district in Bandar Lampung City are prone to tsunami hazards with risk categories up to very high risk categories.

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Assessment of Social Vulnerability to Kiematubu Volcano in Tidore Island, North Maluku

E3S Web of Conferences ◽

10.1051/e3sconf/202132503011 ◽

2021 ◽

Vol 325 ◽

pp. 03011

Author(s):

Widiyana Riasasi ◽

Muh Aris Marfai ◽

Bachtiar W Mutaqin ◽

Danang Sri Hadmoko ◽

Franck Lavigne ◽

...

Keyword(s):

High Risk ◽

Population Density ◽

Social Vulnerability ◽

Initial Assessment ◽

High Population Density ◽

Disaster Impacts ◽

The Social ◽

Volcanic Islands ◽

Demographic Condition ◽

Very High

Kiematubu volcano is often considered as non-volcanic, even though it consists of basalt material, since it has never erupted before. In fact, that small volcanic islands have a high risk due to their restriction on means and resources. The study aims to assess the social vulnerability of the community in Tidore Island that may be exposed to the eruption of the Kiematubu volcano. There has not been previous research in Tidore Island regarding volcanic vulnerability yet. The social vulnerability is an initial assessment of disaster management, which will affect in optimizing community’s capacity then minimizing the disaster impacts. Social parameter of demographic condition, health facilities, and education facilities was weighted to assess social vulnerability. The result shows that the social vulnerability class of Tidore Island is dominantly low, approximately 80%, the rest is middle and high, with a percentage of 13% and 7%, respectively. Mostly, the low vulnerable villages are due to less population density. However, the highly vulnerable villages, Gamtufkange and Indonesiana, consist of very high and high population density. The southeast part of Tidore Island, where both villages are situated, is the center of human activities, such as governmental, trades, and education.

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