Estimation of seismic hazard in Odisha by remote sensing and GIS techniques

Dhar, Sambuddha; Kumar, Abhishek; Nayak, Padma L.

doi:10.1007/s11069-016-2712-3

Cited by 29 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Advancements in satellite technologies and computing capacity have also allowed earthquake hazard assessment using geomorphometric variables based on DEMs (Geiß and Taubenb€ ock 2013). Several studies have analyzed geomorphic/topographic features in earthquake-prone areas, primarily including five criteria-variables: distance from faults, elevation, flow accumulation, lithology, and slope (Wald and Allen 2007;Allen and Wald 2009;Theilen-Willige 2010;Dhar et al 2017). We adopted the same variables since they are relevant to our study area as well (Table 1).…”

Section: Earthquake Hazard Assessmentmentioning

confidence: 99%

“…Earthquake damage varies mainly due to local lithological and hydrogeological conditions. The presence of tectonic structures such as faults and folds can influence seismic hazards and their secondary effects such as land subsidence, liquefaction, and building collapse (Dhar et al 2017). Higher slope angles and elevations contribute to mass movements more than lower slopes and elevations.…”

Section: Earthquake Hazard Assessmentmentioning

confidence: 99%

“…Hence, risk assessment, and ultimately vulnerability reduction, are processes that require multidisciplinary knowledge of various coupled physical and social processes to calculate the cumulative level of risk posed by hazards. Studies of natural hazard risk frequently emphasize the impacts of an individual hazard, such as landslides (Althuwaynee et al 2014;Pellicani et al 2017), floods (Kazakis et al 2015;Kabenge et al 2017), earthquakes (Theilen-Willige 2010; Dhar et al 2017), drought (Lehner et al 2006), sea level rise (Hinkel et al 2014), tropical cyclones (Hoque et al 2018), or wildfires (Adab et al 2013). However, in reality, many locations are prone to multiple natural hazards that can occur simultaneously or manifest in a set of cascading events (Kappes et al 2012).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A geospatial analysis of multi-hazard risk in Dharan, Nepal

Aksha

Resler

Juran

et al. 2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

Natural hazard risk assessment generally focuses on a single hazard type, such as earthquakes, landslides, or floods. This emphasis tends to consider physical processes in isolation. However, most locations are simultaneously at risk to multiple, interacting hazards that generate cascading effects or synergies. Although scholars have proposed a multi-hazard risk framework based on probabilities, the quality and quantity of data required for such an approach are often unavailable in developing countries. Using geospatial and socioeconomic data, this study represents a first step in assessing multi-hazard risk in the city of Dharan, Nepal. Three hazards-landslides, floods, and earthquakes-were considered for an integrated hazard assessment using statistical methods and the Analytic Hierarchy Process (AHP). We employed a Social Vulnerability Index (SoVI) to create a vulnerability map of the study area, which was then combined with a multi-hazard hazard map to produce a total risk map. Our results indicate that eastern Dharan along the Seuti River and southwestern Dharan on the left bank of the Sardu River are at high risk to multiple hazards. Central Dharan and the hills in the western portion of the city are categorized as low risk areas. Data limitations, such as availability and spatial resolution, did not allow for dynamic modeling; however, our results identified the spatial extent of low to high risk areas, which can inform future disaster planning. For example, the methodology and results of this study could assist in the development of disaster risk reduction programs and policies. ARTICLE HISTORY

show abstract

Section: Earthquake Hazard Assessmentmentioning

confidence: 99%

Section: Earthquake Hazard Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A geospatial analysis of multi-hazard risk in Dharan, Nepal

Aksha

Resler

Juran

et al. 2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

show abstract

“…For this reason, some SM carried out using the multicriteria decision analysis which, through the analytical hierarchy process (AHP) technique, assigned to factors (peak ground acceleration, geology, geomorphology, slope amplification factor, etc.) weights depending on its contribution to the seismic hazard and maps of susceptibility to seismic risk are produced [2,3,4,8,10 ].…”

Section: Introductionmentioning

confidence: 99%

MzS Tools: GIS Methods and Tools for Seismic Microzonation Mapping

Cosentino¹,

Pennica²,

Tarquini³

et al. 2021

Preprint

View full text Add to dashboard Cite

MzSTools is a plugin for QGIS developed by the National Research Council (CNR) as part of the activities concerning the coordination of seismic microzonation studies in Italy. It train from the need to create a practical and easy-to-use tool to carry out seismic microzonation (SM) studies by producing standards compliant geographic database and maps, thus making them accurate, homogeneous and uniform for all municipalities in Italy. A geodatabase based on SQLite/SpatiaLite Relational Database Management System (RDBMS). It has been designed to collect and store data related to elements such as: geognostic surveys; bedrocks and cover terrains; superficial and buried geomorphological elements; tectonic-structural elements; elements of geological instability such as landslide zones, liquefaction zones and zones affected by active and capable faults; homogeneous microzones in seismic perspective, microzones characterized by a seismic amplification factor. The QGIS plugin provides tools such as data entry forms designed with Qt Designer; a QGIS project template with layers, symbol libraries and graphic styles; layouts for the SM Maps. MzSTools assembles in a single software environment a set of useful tools for those who work in. The plugin is open source, whose code hosted on the GitHub platform, and is published via the official QGIS plugins repository (https://plugins.qgis.org/plugins/MzSTools/).

show abstract

“…Recently, simplified macro-scale methods have been adopted to reduce the costs of the in situ field surveys and improve the efficiency seismic vulnerability and risk assessments at the urban scale. Such initiatives seek to simplify the visual screening stage by considering only the key parameters whose contributions to the seismic vulnerability are significant (Gu eguen et al 2007) or by employing remote sensing and geographic information system (GIS) methods (M€ uck et al 2012;Wieland et al 2012;Geiß and Taubenb€ ock 2013;Kaushik and Dasgupta 2013;Geiß et al 2014;Moradi et al 2014;Geiß et al 2015a;Geiß et al 2015b;Su et al 2015;Costanzo et al 2016;Dhar et al 2016;Klotz et al 2016;Ghorbanzadeh et al 2017). Data mining methods have also been developed to ascertain the best proxy that links the features of building, which are easily assessed using remote sensing and civil engineering methods, with their seismic vulnerabilities (Şen 2010, 2011Chen et al 2012;Siraj et al 2014;Wu H et al 2014;Riedel et al 2015;Campostrini et al 2017;Ghorbanzadeh et al 2017;Guettiche et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Seismic vulnerability assessment at urban scale using data mining and GIScience technology: application to Urumqi (China)

Liu

Wei

et al. 2019

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

Seismic vulnerability assessments play a significant role in comprehensive risk mitigation efforts and seismic emergency planning, especially for urban areas with a high population density and a complex construction environment. Traditional approaches such as in situ fieldwork are accurate for conducting seismic vulnerability assessments of buildings; however, they are too much time and cost-consuming, especially in moderate to low seismic hazard regions. To address this issue, an integrated approach for a macroseismic vulnerability assessment composed of data mining methods and GIScience technology was presented and applied to Urumqi, China. First, vulnerability proxies were established via in situ data of buildings in the Tianshan District with an EMS-98 vulnerability classification scheme and two data mining methods, namely, support vector machine and association rule learning methods. Then, vulnerability proxies were applied to the Urumqi database, and the accuracy was validated. Finally, seismic risk maps were constructed through data consisting of direct damage to buildings and human casualties. The results indicated that the two data mining methods could achieve desirable accuracies and stabilities when estimating the seismic vulnerability. The seismic risk of Urumqi was estimated as Slight with a predicted number of 61,380 homeless people for a seismic intensity scenario of VIII.

show abstract

Estimation of seismic hazard in Odisha by remote sensing and GIS techniques

Cited by 29 publications

References 14 publications

A geospatial analysis of multi-hazard risk in Dharan, Nepal

A geospatial analysis of multi-hazard risk in Dharan, Nepal

MzS Tools: GIS Methods and Tools for Seismic Microzonation Mapping

Seismic vulnerability assessment at urban scale using data mining and GIScience technology: application to Urumqi (China)

Contact Info

Product

Resources

About