坪山老河道清淤疏浚及底泥处理技术研究  

Dredging and Sediment Treatment Technology of Pingshan River

在线阅读下载全文

作  者:米卫星 MI Weixing(China Construction Third Engineering Bureau Green Industry Investment Co.,Ltd.,Wuhan 430056,China)

机构地区:[1]中建三局绿色产业投资有限公司,武汉430056

出  处:《三峡生态环境监测》2024年第4期41-47,共7页Ecology and Environmental Monitoring of Three Gorges

摘  要:由于深圳市坪山河老河道长期淤积和纳污,多种污染物含量超标,水质呈现劣五类,不仅污染周围土壤、地下水,还会对水生生物产生毒害作用,并且严重影响城市景观。为此,本实验采用一种物理、化学相结合的生态清淤工艺及底泥环保处理方法,详细分析了生态清淤疏浚的技术要点,并利用内梅罗污染指数法对底泥处理结果进行综合评价。结果显示,底泥中的砷、铜和铬等金属离子得到有效去除,处理后的底泥污染评价指数降低为清洁、安全型。因此有效防止了因底泥弃置造成的二次污染,在增强河道行洪能力的同时,也解决了河道淤积处置困难的问题,达到对污染物减量化、稳定化和资源化的处理目的,对提升河湖的生态功能具有重要意义。Due to the long-term siltation and pollution in the old channel of Pingshan River in Shenzhen,various pollutants have exceeded standards,resulting in the fifth category of inferior water quality.It not only contaminates the surrounding soil and groundwater,but also poses toxic effects on aquatic organisms,severely impacting the urban landscape.Therefore,this experiment adopts an eco-dredging technique combining physical and chemical methods,along with environmentally friendly treatment of bottom sediment.The technical essentials of eco-dredging were analyzed in detail,and the sediment treatment results were comprehensively evaluated using the Nemero pollution index method.The results show that heavy metal ions such as arsenic,copper,and chromium in the sediment are effectively removed,reducing the pollution index of the treated sediment to a clean and safe level.Consequently,it effectively prevents secondary pollution caused by sediment disposal,enhances the flood control capacity of the river channel,and addresses the difficulty of sediment disposal,achieving the objectives of reducing,stabilizing,and resource utilization of pollutants.This is of significant importance for enhancing the ecological function of rivers and lakes.

关 键 词:老河道 生态清淤 底泥处理 

分 类 号:TV851[水利工程—水利水电工程]

 

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