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作 者:李夏[1,2] 王刚[2,3] 齐珺[2] 崔栋[4] 刘金玲[2] 张岳鹏[1,2] LI Xia WANG Gang QI Jun CUI Dong LIU Jinling ZHANG Yuepeng(College of Resource Environment and Tourism,Capital Normal University, Beijing 100048,China Beijing Municipal Research Institute of Environmental Protection, Chinese National Engineering Research Center of Urban Environmental Pollution Control, Beijing 100037, China College of Environmental Science and Engineering, Donghua University,Shanghai 201620, China School of Water Conservancy Engineering, North China University of Water Resources and Electric Power,Zhengzhou 450045 ,China)
机构地区:[1]首都师范大学资源环境与旅游学院,北京100048 [2]北京市环境保护科学研究院国家城市环境污染控制工程技术研究中心,北京100037 [3]东华大学环境科学与工程学院,上海201620 [4]华北水利水电大学水利学院,河南郑州450045
出 处:《中国环境监测》2016年第5期67-72,共6页Environmental Monitoring in China
基 金:国家水体污染控制与治理科技重大专项(2012ZX07203-001-01);北京市环境总体规划研究(总规12:1443-信息)
摘 要:综合降解系数是水质模拟预测、水环境容量计算中的关键参数之一,并且受温度影响较大。首先基于北京市北运河代表站2010年逐日水温资料,根据描述氨氮降解系数与温度之间数量关系的经验公式,得到随水温变化的动态降解系数以及年均水温对应的恒定降解系数,并采用模型试错法进行修正。然后基于MIKE11模型,模拟了采用变降解系数和恒定降解系数2种情景下北运河榆林庄断面氨氮浓度的变化。结果表明:2种情景均能较好地模拟氨氮浓度的年变化趋势,但采用变降解系数下大多月份模拟得到的月均质量浓度相对实测值误差较小,尤其是4—12月各月平均质量浓度模拟误差控制在15%以内,全年日均质量浓度模拟误差不足4%,模型表现更为稳定。Comprehensive degradation coefficient is one of the key parameters of water quality simulation prediction and water environment capacity calculation,which is influenced by temperature. First,based on 2010 daily temperature of the North Canal in Beijing and the empirical formula which describes the relationship between the amount of ammonia degradation coefficient and temperature,the dynamic degradation coefficient fluctuated by temperature and the constant degradation coefficient corresponding to annual average temperature were obtained,which were corrected by using trial and error method. Then,the ammonia concentration fluctuation of Yulin Zhuang section in Beijing was simulated based on MIKE11 on the scenarios of the dynamic degradation coefficient and the constant degradation coefficient. The results showed that the annual trend of ammonia concentration could be simulated well on both scenarios,but monthly average concentration error of most months were relatively low compared to the measured value under the dynamic degradation coefficient,especially from April to December the Model was more stable,and the monthly average concentration error could be controlled under 15%,and the annual average simulation error was less than 4%.
分 类 号:X824[环境科学与工程—环境工程]
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