Japan Copes with Calamity: Ethnographies of the Earthquake, Tsunami and Nuclear Disasters of March 2011

Kirby, Peter Wynn

doi:10.1093/ssjj/jyu033

Cited by 1 publication

(1 citation statement)

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“…The mainstream research (SHOWALTEr and MEY-ERS 1994;SELIGSON et al 1996;PETERSEN et al 2004;WONG et al 2005;SENGUL et al 2010;WANG et al 2010;HILL et al 2011;ABDOLLAHZADEH et al 2014;GHEORGHIU 2014;KIRBY 2015) in the discipline of earthquake-initiated-hazardous materialreleases (EIHRs) is predominately focused on studying the post-disaster impacts to create risk evaluation schemes. STEINBERG et al (2004) examined the earthquake-caused industrial spill in order to evaluate mitigation mechanism to response to seismic disasters in Turkey.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Analysis of Earthquake-Led Water Contamination: A Case of Sichuan, China

Yang

Lin

Zhan

et al. 2015

Pure Appl. Geophys.

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The objective of this paper is to evaluate seismic-led point source and non-point source water pollution, under the seismic hazard of 10 % probability of exceedance in 50 years, and with the minimum value of the water quality standard in Sichuan, China. The soil conservation service curve number method of calculating the runoff depth in the single rainfall event combined with the seismic damage index were applied to estimate the potential degree of non-point source water pollution. To estimate the potential impact of point source water pollution, a comprehensive water pollution evaluation framework is constructed using a combination of Water Quality Index and Seismic Damage Index methods. The four key findings of this paper are: (1) The water catchment that has the highest factory concentration does not have the highest risk of non-point source water contamination induced by the outbreak of potential earthquake. (2) The water catchment that has the highest numbers of cumulative water pollutants types are typically located in the south western parts of Sichuan where the main river basins in the regions flow through. (3) The most common pollutants in sample factories studied is COD and NH 3 -N which are found in all catchments. The least common pollutant is pathogen-found present in W1 catchment which has the best rating in the water quality index. (4) Using water quality index as a standardization parameter, parallel comparisons is made among the 16 water catchments. Only catchment W1 reaches level II water quality status which has the rating of moderately polluted in events of earthquake induced water contamination. All other areas suffer from severe water contamination with multiple pollution sources. The results from the data model are significant to urban planning commissions and businesses to strategically choose their factory locations in order to minimize potential hazardous impact during the outbreak of earthquake.

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