基于无人船技术的郪江水质研究

Study on Water Quality in Suining Section of Qijiang River Based on Unmanned Surface Vehicle Technology

为研究郪江流域遂宁段水环境质量,利用无人船对郪江干流和8条支流进行了走航监测,采用内梅罗综合污染指数和断面类别比例法对水质进行了综合分析。同时,对入河排污口进行了现场调查,选取重要排污口开展了走航监测并评估了对水环境质量的影响。结果表明:无人船走航技术具有较高的精确度和效率,能够完成水质调查工作。郪江流域遂宁段水质为轻度污染,首要污染物为化学需氧量(COD_(Cr))。支流水质较差,对干流水体存在直接影响。雨水排口流量小,入河污染物总量小,对郪江水质影响低。大部分排口首要污染物为化学需氧量,不同程度加重了水体有机负荷。研究成果为中长期水质改善决策支持提供理论依据,推动流域水质持续好转。

In order to study the water environment quality in Suining section of Qijiang River,the navigation monitoring of the main stream and eight tributaries of the Qijiang River was carried out using the automatic cruise unmanned surface vehicle.Nemerow comprehensive index and section category ratio method was used to comprehensively analyze the water quality.At the same,a field investigation was conducted on the discharge outlet of the river,and some important discharge outlets were selected to carry out navigation monitoring and evaluate the impact on the water environment quality.The results showed that the navigation technology of unmanned surface vehicle has high precision and efficiency,can complete the water quality investigation.The water quality of Qijiang River is light pollution.The primary pollutant is chemical oxygen demand(COD_(Cr)).The water quality of the tributaries are poor,which have a direct impact on the water body of the main stream.The water flow of rainwater outlets is small,so they have low total pollutant emission,therefore they have little impact on water quality of Qijiang River.The primary pollutant of most discharge outlets is COD_(Cr),which increases the organic load of water body.The research can provide theoretical basis for medium-and long-term water quality improvement decision support,and promote the continuous improvement of water quality in the basin.