Understanding Disaster Risk and Mitigation Special Reference to Ratnapura District

Edirisooriya, K.V.D.; Vitanage, N.S.; Uluwaduge, Pradeep; Senevirathna, E.M.T.K.

doi:10.1016/j.proeng.2018.01.133

Cited by 15 publications

(12 citation statements)

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“…Meteorological disasters are some kind of meteorological phenomena or meteorological activities which affect human security and the social economic system (Xie et al, 2014). In recent years, there has been a marked increase in the attention paid to disasters by geoscientists, engineers, local communities and people at all levels in many parts of the world (Edirisooriya et al, 2018). The analysis showed that rainstorm-induced floods (landslides and mud-rock flows) had the largest number of records regarding affected population, deaths, affected crop, total crops failure and direct economic loss, and also the greatest impacts or losses in East China, (Table I).…”

Section: Discussionmentioning

confidence: 99%

“…Disaster risk assessment is the basis and prerequisite of meteorological disaster prevention and mitigation (Qiu et al, 2013). New technologies are being widely used for understanding and identifying the vulnerabilities of meteorological disasters and risk (Jiang et al, 2018;Edirisooriya et al, 2018), and information about the dangers of living in areas affected by natural disasters is gradually provided to policymakers and the public based on early warning and risk assessment systems (Chen, 2013). Based on the meteorological monitoring data and third-party evaluation data of typhoons Nesat and Haitang in Fujian province in 2017, Yang et al (2018) showed that the benefit of preventing and mitigating this double typhoon disaster was about 0.6 billion yuan due to the reduction of direct economic loss, according to the survey and evaluation of mathematical model estimates.…”

Section: Discussionmentioning

confidence: 99%

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Spatial and temporal characteristics of four main types of meteorological disasters in East China

Shi

Cui

2020

ATM

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Se analizó la distribución espacial y la variación interanual del número de registros, así como el monto de los impactos o pérdidas causadas por cuatro tipos de desastres meteorológicos (inundaciones inducidas por tormentas, inundaciones, daños provocados por altas y bajas temperaturas y olas de calor) en 637 condados del este de China, con base en los datos censuales de dichos desastres. Los resultados indican que los desastres inducidos por tormentas tuvieron el número más alto de registros y la mayor cantidad de población afectada, muertes, cosechas afectadas y fallidas, y pérdidas económicas directas en China del este. Las tasas anuales de población afectada y pérdidas económicas directas causadas por los cuatro desastres meteorológicos se incrementaron en 1.4 y 2.2% por década, pero el número de muertes decreció de manera significativa a tasas de 2.2% por década entre 1984 y 2010. No hubo diferencias estadísticas significativas entre los porcentajes de áreas de cultivo afectadas y cosechas fallidas en China del este. En términos espaciales, el número de personas afectadas por los cuatro desastres meteorológicos fue mayor en Anhui y Jiangxi, y el número de muertes fue más alto en el sur de Anhui, Jiangxi, Zhejiang y Fujian. Tanto el área afectada como el área total de cosechas fallidas fueron mayores en Anhui del norte, Jiangsu del este y Shandong del este, en tanto que las pérdidas económicas directas fueron superiores en la parte meridional de China del este y la provincia de Anhui.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Spatial and temporal characteristics of four main types of meteorological disasters in East China

Shi

Cui

2020

ATM

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“…Ratnapura new city, which was built to avoid frequent flooding issue, is one of the best examples for an unsuccessful new city made by the humankind in Sri Lanka. The reason for frequent flooding issue is not only due to the location of Ratnapura city which is located at the lower part of the Kalugaga basin, but also due to plenty of factors related to the urban population settlements and their behavior (Edirisooriya et al, 2018). Accordingly, in the early 1980s the Sri Lankan government decided to shift the main city to a higher elevation near the original location of old city to avoid from major flooding every year.…”

Section: Ratnapura New City Projectmentioning

confidence: 99%

Impact of Spatial Planning for the Cost and Value Optimization in Built Environment Against Natural Hazards

Jayalath¹,

Disaratna²,

Withanage³

2021

Proceedings of the 9th World Construction Symposium 2021 on Reshaping Construction: Strategic, Structural and Cultural Transfor

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Spatial planning is managing the environmental, social and economic dimensions of development. Today the built environment suffers from a lot of natural hazards, resulted due to poor concentration over the environmental, social and economic aspects. Magnitudes and frequencies of these natural hazards has shifted from bad to worst in the recent past. Therefore, economic cost of these hazards has increased, and governments has been compelled to spend large amounts of public money to overcome these impacts on the built environment. Thus, in Sri Lankan context, these circumstances warrant the need to have a sustainable and realistic approach for the spatial planning in the built environment. Hence, the aim of this research was to enhance the cost and value efficiency in built environment against natural hazards through proper spatial planning in Sri Lankan context. Research was conducted mainly based on a questionnaire survey following the mixed research approach. Study identified the impact of poor spatial planning in the built environment in Sri Lankan context and study imparted set of guidelines to ensure effective spatial planning in the built environment in order to minimize the impact of adverse natural hazards. Finally, study concluded that, in order to establish a paradigm shift emphasizing the importance of effective spatial planning in the built environment, it is essential to have a clear understanding on natural process and other socio-economic concerns of the country.

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“…Salah satu penerapan teknologi dalam disaster risk reduction adalah pemodelan peta bahaya/hazard map. Penggunaan peta bahaya bermanfaat untuk perencana dan pembuat keputusan dalam memahami dan mengelola daerah terdampak dengan cara: membantu melakukan identifikasi resiko bencana sebelum terjadinya bencana alam tersebut, melakukan mitigasi kerusakan sosial ekonomi yang disebabkan oleh bencana tersebut, dan menetapkan prioritas terhadap lokasi terdampak dengan tingkat bahaya tinggi (Edirisooriya et al, 2018).…”

Section: Pendahuluanunclassified

Ekstraksi Informasi Semantik dan Spatiotemporal pada Artikel Online Terkait Bencana di Indonesia

Tantri

Rakhmawati

2020

J. Sistem Info. Bisnis

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Indonesia is one country that has a high risk of natural disasters. Ranked in 36 out of 172 countries in disaster index and having 2,372 disaster incidents in 2017, actions need to be taken to minimize the impact of natural disasters. One of it is to do a hazard map modeling. In making hazard maps, several approaches can be used, one of which is the semantic approach to extract disaster information. Therefore, this study aims to develop a system that can be used to extract spatiotemporal and semantic information related to natural disasters in Indonesia. This study uses the NLP method in conducting the information extraction process and carried out using the GATE (General Architecture for Text Engineering) application. In processing Indonesian language articles, it is necessary to develop the plugin because the Indonesian information structure is different from the default information structure in GATE application. The plugin development process is done by using ontology as the basis for determining semantic information. Literature study was carried out related to government regulations that further explained the need for semantic and spatiotemporal information about disaster events. system performance developed produces a precision value of 38% and a recall value of 32%. this is because the system experiences some difficulties in carrying out the information inference process. The reason for low precision rate is because the rules used in the inference process to pair the three types of information still cannot accommodate the variation of information positions in different sentences.

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Understanding Disaster Risk and Mitigation Special Reference to Ratnapura District

Cited by 15 publications

References 1 publication

Spatial and temporal characteristics of four main types of meteorological disasters in East China

Spatial and temporal characteristics of four main types of meteorological disasters in East China

Impact of Spatial Planning for the Cost and Value Optimization in Built Environment Against Natural Hazards

Ekstraksi Informasi Semantik dan Spatiotemporal pada Artikel Online Terkait Bencana di Indonesia

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