生活垃圾成分分析与处理——基于成都市温江区的调查  

Composition Analysis and Treatment of Domestic Waste-Based on the Investigation in Wenjiang District,Chengdu City

在线阅读下载全文

作  者:屈琪雯 申武 宣俊 祝繁 QU Qiwen;SHEN Wu;XUAN Jun;ZHU Fan(CECEP Construction Engineering Design Institute Co.,Ltd.,Chengdu 610052,China)

机构地区:[1]中节能建设工程设计院有限公司,成都610052

出  处:《中国资源综合利用》2024年第11期133-136,共4页China Resources Comprehensive Utilization

摘  要:随着城市化进程的加快,生活垃圾问题日益凸显,成为固废处理领域的重大难题。以成都市温江区为研究区,对金马生活垃圾压缩转运站入站垃圾样本进行采集和分选,检测生活垃圾成分,并对可回收物的种类和数量占比进行详细分析,结合影响因素,建立生活垃圾产生量的预测模型。调查结果显示,厨余类占比为55.07%,塑料类为22.37%,纸类为3.51%,纺织类为3.26%,木材类为0.90%,有害类为0.71%,金属类为0.43%,玻璃为2.01%,其他类为11.73%。经预测,2030年,温江区生活垃圾产生量为1 000 t/d。未来,要结合政策导向,探索生活垃圾处理与利用方法,科学配置垃圾分类设施,有序推进生活垃圾分类处理,最终实现生活垃圾资源化利用。With the acceleration of urbanization,the problem of domestic waste is becoming increasingly prominent and has become a major challenge in the field of solid waste treatment.Taking Wenjiang district of Chengdu city as the research area,samples of incoming garbage from Jinma Domestic Waste Compression Transfer Station are collected and sorted to detect the composition of domestic waste,detailed analysis is conducted on the types and quantities of recyclable materials,and a predictive model for the amount of domestic waste generated is established based on influencing factors.The survey results show that kitchen waste accounts for 55.07%,plastic accounts for 22.37%,paper accounts for 3.51%,textile accounts for 3.26%,wood accounts for 0.90%,harmful accounts for 0.71%,metal accounts for 0.43%,glass accounts for 2.01%,and other accounts for 11.73%.It is predicted that by 2030,the amount of domestic waste generated in Wenjiang district will be 1000 t per day.In the future,it is necessary to combine policy guidance,explore methods for the treatment and utilization of domestic waste,scientifically allocate waste classification facilities,orderly promote the classification and treatment of domestic waste,and ultimately achieve resource utilization of domestic waste.

关 键 词:生活垃圾 成分分析 分类处理 

分 类 号:X799.3[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象