1 Departamento de Engenharia de Transportes, São Carlos, Brazil.
2 Universidade de Sao Paulo Escola Politecnica, Sao Paulo, Brazil.
Waste Manag Res. 2018 Jul;36(7):606-615. doi: 10.1177/0734242X18773538. Epub 2018 Jun 20.
Sanitary landfill remains the most common methodology for final treatment and disposal of municipal solid waste worldwide, the cost per tonne depends on its scale. The bigger the landfill, the cheaper the cost of treatment, so the consortium of municipalities is the solution to achieve an economic scale. However, the growth of waste production introduces pressure for adequate solutions and therefore has been increasing sanitary landfill site selection studies. This study proposes a methodology for siting sanitary landfills and optimising the transport of municipal solid waste for a locality in the state of São Paulo, Brazil. Environmental, social, and economic criteria were established. Their correlated attributes were categorised into suitability levels and weighted according to multiple decision analysis. The data were organised and mapped within a geographic information system. Considering sites where landfills are prohibited, two scenarios were generated. The Mixed-Integer Quadratic Programming mathematical model is used to minimise the costs of transporting municipal solid waste and operating sanitary landfills. In Scenario 1, the results indicated that 64% of the area was suitable as a potential sanitary landfill site, 9% of the area exhibited medium suitability, and 27% of the area was classified as restricted. In Scenario 2, the results indicated that 25% of the area was suitable as a potential sanitary landfill site, 4% of the area had medium suitability, and 71% of the area was classified as restricted. The optimal solutions for Scenario 1 and Scenario 2 enabled sites to be determined for five landfills and four landfills, respectively.
卫生填埋仍然是全球处理和处置城市固体废物的最常见方法，每吨的成本取决于其规模。填埋场越大，处理成本越低，因此市政府联合体是实现经济规模的解决方案。然而，废物产量的增长带来了对足够解决方案的压力，因此卫生填埋场选址研究一直在增加。本研究提出了一种为巴西圣保罗州的一个地区选址卫生填埋场和优化城市固体废物运输的方法。确定了环境、社会和经济标准。将其相关属性分为适宜性水平，并根据多决策分析进行加权。数据在地理信息系统中进行组织和映射。考虑到禁止建设垃圾填埋场的地点，生成了两个方案。混合整数二次规划数学模型用于最小化运输城市固体废物和运营卫生填埋场的成本。在方案 1 中，结果表明 64%的区域适合作为潜在的卫生填埋场，9%的区域具有中等适宜性，27%的区域受到限制。在方案 2 中，结果表明 25%的区域适合作为潜在的卫生填埋场，4%的区域具有中等适宜性，71%的区域受到限制。方案 1 和方案 2 的最优解决方案分别确定了五个和四个垃圾填埋场的场地。
