利用灰色理论中的GM（1，1）预测模型对某工业城市生活垃圾产生量进行预测。
The prediction is carried out for the living rubbish of a certain industrial city by means of GM(1,1) prediction model of the grey theory.
建立并研究了人均GDP预测模型，该模型可以预测未来徐州市城市居民生活垃圾产生量。
Forecast model of GDP was set up, which can accurately forecast domestic waste output in future in Xuzhou city.
介绍了上海市近10多年生活垃圾产生量及成分，并对今后垃圾产生量及成分变化进行了预测分析。
The paper introduced the output and component of solid waste in Shanghai in recent more than 10 years, and made a prediction about the output and component changes in the future.
目前北京市生活垃圾产生量不断增加，处理设施能力日渐不足，生活垃圾管理正面临着减量化与资源化必然趋势。
Due to the increasing amount of municipal solid waste (MSW) generation and the insufficient waste treatment capacity in Beijing, MSW management system is facing the trend of reducing and recycling.
通过对昆明市2003-2010年生活垃圾产生量进行了灰色组合模型预测，结果表明该模型的预测精度达到一级。
The result showed that the Gray Combining Predication Model's accuracy can reach first class in forecasting of Kunming urban waste output in 2003-2010.
以经济相对发达的太湖地区宜兴市大浦镇渭渎村为代表，详细分析了生活垃圾产生量、组成成份及其动态变化，并对村民环保意识进行入户调查。
Weidu village, located in Tai Lake region, as a representative of the developed rural areas was selected to investigate the dynamics of the output and composition of HSW in detail.
个体因素包括家庭人口结构、文化程度和职业方面对生活垃圾产生量和成分的影响；社会因素主要表现在有关垃圾减量、回收、再利用等措施的实施。
Personality factors were analyzed by family's population structure, schooling and occupation, and social factors were studied on measures of waste reduce, recycle, recovery etc.
个体因素包括家庭人口结构、文化程度和职业方面对生活垃圾产生量和成分的影响；社会因素主要表现在有关垃圾减量、回收、再利用等措施的实施。
Personality factors were analyzed by family's population structure, schooling and occupation, and social factors were studied on measures of waste reduce, recycle, recovery etc.
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