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作 者:罗晶 Luo Jing(Qinghai Research Institute of Transportation,Xining 810016,China)
出 处:《青海交通科技》2024年第4期54-58,64,共6页Qinghai Transportation Science and Technology
基 金:青海省科技计划项目(2023-ZJ-793)。
摘 要:为推动青海黄河流域交通运输生态环境保护工作,以青海黄河流域某高速公路为研究对象,开展桥面径流水质评价及污染因子相关性研究。结果表明,利用Nemerrow指数法评价,桥面径流污染严重,主要污染物以油类为主。青海黄河流域某高速公路桥面径流污染情况与其他省市桥面径流污染情况相比,COD_(Cr)浓度最低,SS浓度与山西、广东等地相比偏高,油类浓度高于其他省份。桥面径流中COD_(Cr)浓度与油类浓度高度正相关,对COD_(Cr)和油类线性拟合进行回归分析,回归方程为y=0.5239x+6.44,R^(2)=0.777。SS浓度与COD_(Cr)浓度、油类浓度均呈负相关。油类是影响青海黄河流域桥面径流的最主要污染因子,建议青海黄河流域桥面径流中把油类作为重点污染物控制对象。In order to promote the ecological and environmental protection of transportation in the Yellow River Basin of Qinghai,taking a highway in the Yellow River Basin of Qinghai Province as the research object,the water quality evaluation of bridge surface runoff and the correlation of pollution factors were studied.The results show that the runoff pollution of the bridge surface is serious by the Nemerrow index method,and the main pollutants are oil.In the Yellow River Basin of Qinghai Province,COD_(Cr)concentration is the lowest,the SS concentration is relatively higher than that of Shanxi provinces and Guangdong provinces,and the oil concentration is higher than that of other provinces.The concentration of COD_(Cr)in the runoff of the bridge surface is positively correlated with oil,and the regression analysis was carried out on the linear fitting of COD_(Cr)and oil,and the regression equation is y=0.5239 x+6.44 and R^(2)=0.777.SS concentration was negatively correlated with COD_(Cr)concentration and oil concentration.The main pollution factors affecting the bridge surface runoff in the Yellow River Basin of Qinghai Province is oil,and it is suggested that oil in the bridge surface runoff in the Qinghai Yellow River Basin should be used as the key pollutant control object.
关 键 词:水质监测 污染 Nemerrow水质评价 桥面径流 相关性
分 类 号:X522[环境科学与工程—环境工程]
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