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Appropriate model for landfill rehabilitation in India using hazard rating system

机译:利用危险评级系统,印度垃圾填埋康复的适当模型

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Unscientific and imprudent approaches to solid waste management have created large waste sites that pollute groundwater, soil and air and endanger public health. However, remediation of landfill sites is a major challenge for developing countries such as India due to financial constraints and accelerating waste generation rate. Achieving the most effective resource allocation in the face of these challenges entails a hazard-based prioritisation list of landfills through multiple hazard pathways. Hazard rating systems that generate such lists are being widely employed by developed countries around the world. However, they lack pertinent parameters and the ability to characterise a wide array of hazard levels in landfills found in many developing countries. This paper investigates existing hazard rating models and landfill sites and sets forth a cost-effective hazard rating system that can identify a wide array of hazard levels in landfills found in geographically and economically extreme regions. The proposed model, hazard decision model (HDM), is a relative hazard assessment model, based on source pathway receptor relationships, that computes hazard scores for groundwater, direct contact and risk of fire routes. It generates separate priority lists for remedial action and emergency action. HDM is compared with existing hazard rating models while they are applied to nine characteristically different Indian landfills. The results demonstrate that HDM can generate more distinguishable scores and exhibit greater sensitivity to varied landfill and receptor hazard characteristics, making it a more effective tool for site ranking and evaluating remedial strategies.
机译:坚固的废物管理的不科学和不科洁的方法创造了污染地下水,土壤和空气和危险的公共卫生的大型废物。然而,由于财政限制和加速废弃物产生率,对印度等发展中国家进行了重大挑战。在面对这些挑战面前实现最有效的资源配置需要通过多种危险途径进行危险的垃圾填埋场。生成此类列表的危险评级系统被世界各地发达国家广泛雇用。然而,它们缺乏相关参数和能力在许多发展中国家发现的垃圾填埋场中的广泛危险水平。本文调查了现有的危险评级模型和垃圾填埋场,并提出了一种经济高效的危险评级系统,可以识别在地理和经济上极端地区的垃圾填埋场中的广泛危险水平。所提出的模型,危险决策模型(HDM)是一种基于源路径受体关系的相对危险评估模型,其计算地下水的危险分数,直接接触和火灾渠道的风险。它生成单独的优先级列表,以进行补救措施和紧急行动。将HDM与现有的危险评级模型进行比较,同时应用于九个特征不同的印度垃圾填埋场。结果表明,HDM可以产生更区别的分数,并且对各种垃圾填埋场和受体危险特性具有更大的敏感性,使其成为现场排名和评估补救策略的更有效工具。

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