B. Narasimha, R. Kamath, Sharvanan Udayar, Ashwini Madeshan
{"title":"Kodagu区受洪水影响地区灾害废物测绘的现场测试和报告","authors":"B. Narasimha, R. Kamath, Sharvanan Udayar, Ashwini Madeshan","doi":"10.4103/mjmsr.mjmsr_42_22","DOIUrl":null,"url":null,"abstract":"Introduction: Floods are the most commonly occurring hydrological disasters in India. The disaster wastes (DWs) produced in floods involve various departments to clear the waste and consume more resources. Thus, the study was conducted to assess the type and visual quantity of DW during the initial recovery phase in flood-affected areas of the Kodagu district. Materials and Methods: A qualitative study was conducted in randomly selected 10 flood-affected areas in September 2019. Data were collected by a structured questionnaire and analyzed using Epi Info version 7.2. Results: The DWs were present in all 10 areas and it was classified into seven types. Out of 10 flood-affected areas, the majority of the areas had packaging wastes (nine areas) and bedding/furniture/cloth/textile waste (nine areas), followed by rubble/building material (six areas), electrical/electronic waste (five areas), food waste (three areas), and toxic/harmful/hazardous waste and biomedical waste/hospital waste (two areas). The total DW visual quantity was 6220 kg and was highest for rubble/building material DW. Conclusions: The DWs were containing both biomedical and nonbiomedical wastes. The wastes clogged the canals and polluted mainly water and soil. The visual quantity of DW was more and clearing the waste was difficult without the vehicles.","PeriodicalId":19108,"journal":{"name":"Muller Journal of Medical Sciences and Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Field test and reporting of disaster waste mapping in flood-affected areas of Kodagu district\",\"authors\":\"B. Narasimha, R. Kamath, Sharvanan Udayar, Ashwini Madeshan\",\"doi\":\"10.4103/mjmsr.mjmsr_42_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Floods are the most commonly occurring hydrological disasters in India. The disaster wastes (DWs) produced in floods involve various departments to clear the waste and consume more resources. Thus, the study was conducted to assess the type and visual quantity of DW during the initial recovery phase in flood-affected areas of the Kodagu district. Materials and Methods: A qualitative study was conducted in randomly selected 10 flood-affected areas in September 2019. Data were collected by a structured questionnaire and analyzed using Epi Info version 7.2. Results: The DWs were present in all 10 areas and it was classified into seven types. Out of 10 flood-affected areas, the majority of the areas had packaging wastes (nine areas) and bedding/furniture/cloth/textile waste (nine areas), followed by rubble/building material (six areas), electrical/electronic waste (five areas), food waste (three areas), and toxic/harmful/hazardous waste and biomedical waste/hospital waste (two areas). The total DW visual quantity was 6220 kg and was highest for rubble/building material DW. Conclusions: The DWs were containing both biomedical and nonbiomedical wastes. The wastes clogged the canals and polluted mainly water and soil. The visual quantity of DW was more and clearing the waste was difficult without the vehicles.\",\"PeriodicalId\":19108,\"journal\":{\"name\":\"Muller Journal of Medical Sciences and Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Muller Journal of Medical Sciences and Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/mjmsr.mjmsr_42_22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Muller Journal of Medical Sciences and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/mjmsr.mjmsr_42_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
简介:洪水是印度最常见的水文灾害。洪水中产生的灾害废物涉及各个部门,以清理废物并消耗更多的资源。因此,本研究旨在评估Kodagu区受洪水影响地区初始恢复阶段DW的类型和视觉量。材料和方法:2019年9月,随机选择10个受洪水影响的地区进行定性研究。通过结构化问卷收集数据,并使用Epi Info 7.2版进行分析。结果:DWs分布于10个区域,分为7种类型。在10个受洪水影响的地区中,大多数地区有包装垃圾(9个地区)和床上用品/家具/布/纺织垃圾(9区),其次是瓦砾/建筑材料(6区)、电气/电子垃圾(5区)、食物垃圾(3区),以及有毒/有害/危险废物和生物医学废物/医院废物(2区)。DW视觉总量为6220kg,碎石/建筑材料的DW最高。结论:DWs同时含有生物医学废物和非生物医学废物。废物堵塞了运河,主要污染了水和土壤。DW的视觉数量更多,如果没有车辆,很难清除废物。
Field test and reporting of disaster waste mapping in flood-affected areas of Kodagu district
Introduction: Floods are the most commonly occurring hydrological disasters in India. The disaster wastes (DWs) produced in floods involve various departments to clear the waste and consume more resources. Thus, the study was conducted to assess the type and visual quantity of DW during the initial recovery phase in flood-affected areas of the Kodagu district. Materials and Methods: A qualitative study was conducted in randomly selected 10 flood-affected areas in September 2019. Data were collected by a structured questionnaire and analyzed using Epi Info version 7.2. Results: The DWs were present in all 10 areas and it was classified into seven types. Out of 10 flood-affected areas, the majority of the areas had packaging wastes (nine areas) and bedding/furniture/cloth/textile waste (nine areas), followed by rubble/building material (six areas), electrical/electronic waste (five areas), food waste (three areas), and toxic/harmful/hazardous waste and biomedical waste/hospital waste (two areas). The total DW visual quantity was 6220 kg and was highest for rubble/building material DW. Conclusions: The DWs were containing both biomedical and nonbiomedical wastes. The wastes clogged the canals and polluted mainly water and soil. The visual quantity of DW was more and clearing the waste was difficult without the vehicles.