检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:史志皓 朱海涛 欧阳卓明 罗凡[1] 沈中明 周艳春 SHI Zhi-hao;ZHU Hai-tao;OUYANG Zhuo-ming;LUO Fan;SHEN Zhong-ming;ZHOU Yan-chun(School of Environmental Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;Shenzhen Energy Environment Co.Ltd.,Shenzhen 518000,China;Wuhan Water&Wastewater Engineering Design Institute Co.Ltd.,Wuhan 430012,China)
机构地区:[1]华中科技大学环境科学与工程学院,湖北武汉430074 [2]深圳能源环保股份有限公司,广东深圳518000 [3]武汉市给排水工程设计院有限公司,湖北武汉430012
出 处:《中国给水排水》2022年第21期51-56,共6页China Water & Wastewater
摘 要:为了确定武汉市A、B两座给水厂原水悬浮物(SS)与浊度的换算关系,在一年半的时间内每周两次对原水SS和浊度进行检测,通过线性拟合获得两座水厂原水SS与浊度的线性回归系数分别为1.6981和1.7225。根据多年原水浊度数据,采用对数正态分布曲线计算出75%保证率下两座水厂原水浊度设计值分别为32.61和35.38 NTU,与采用《室外给水设计标准》(GB 50013-2018)推荐的原水设计浊度取值系数计算结果较为接近;但95%保证率下分别为61.39和77.00 NTU,低于规范计算值。当保证率为75%和95%时,A厂SS的95%置信区间为(55.37±20.50)和(104.24±20.94)mg/L,B厂为(60.96±20.69)和(132.67±22.27)mg/L。季节变化对原水SS设计值影响较大,采用不同季节回归系数和历史浊度数据得到秋季的SS浓度最高,在75%和95%保证率下A厂秋季原水SS预测值比采用常规方法获得的计算值分别高15.48%和21.11%,而B厂则分别高24.52%和31.85%。To determine the conversion relationship between SS and turbidity in raw water from A and B water supply plants in Wuhan,SS and turbidity in raw water were tested twice a week for one and a half years,and the linear regression coefficients of SS and turbidity in raw water from the two plants were obtained by linear fitting(1.6981 and 1.7225,respectively).According to the turbidity data of raw water for many years,lognormal distribution curve was used to calculate the design turbidity of A and B plants at guarantee rate of 75%,which were 32.61 NTU and 35.38 NTU,respectively.The values were close to those calculated by the turbidity coefficient of raw water recommended by Standard for Design of Outdoor Water Supply Engineering(GB 50013-2018).However,the design turbidities were 61.39 NTU and 77.00NTU at guarantee rate of 95%,which were lower than the calculated values.When the guarantee rate was 75%and 95%,the 95%confidence intervals of SS of plant A were(55.37±20.50)mg/L and(104.24±20.94)mg/L,and those of plant B were(60.96±20.69)mg/L and(132.67±22.27)mg/L.Seasonal variation had a greater influence on SS design value of raw water.SS was the highest in autumn calculated by the regression coefficients of different seasons and the historical turbidity,the predicted SS in raw water of plant A at guarantee rates of 75%and 95%in autumn were 15.48%and 21.11%,higher than those calculated by conventional methods.By contrast,the predicted values were 24.52%and 31.85%higher in plant B.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222