期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
分层空调建筑室内污染物的排除与气流组织方式
1
作者 康清 魏兵 张玮 《环境与发展》 2011年第6期112-113,共2页
本文应用FLUENT软件对所选定建筑的分层空调多种气流组织方式进行了数值模拟,得到了不同工况下的污染物浓度场,根据模拟结果比较了大空间建筑排除污染物时的最佳气流组织方式。
关键词 气流组织方式 污染物平均浓度数值模拟
下载PDF
基于去耦合直接法的兰江流域地表水水质预测方法研究 被引量:1
2
作者 林广 张兰 +4 位作者 王国胜 俞洁 孙忠 张全 李华明 《中国环境监测》 CAS CSCD 北大核心 2023年第1期181-188,共8页
针对影响因素众多、耦合机制复杂情况下的地表水污染物浓度预测问题,将河道污染物浓度的变化量表示为各种影响因子一阶偏导项和二阶偏导项的线性叠加。其中,一阶偏导项可描述影响因子变化与污染物浓度变化的直接关系,二阶偏导项可描述... 针对影响因素众多、耦合机制复杂情况下的地表水污染物浓度预测问题,将河道污染物浓度的变化量表示为各种影响因子一阶偏导项和二阶偏导项的线性叠加。其中,一阶偏导项可描述影响因子变化与污染物浓度变化的直接关系,二阶偏导项可描述影响因子之间交互作用对污染物浓度变化的影响。在此基础上,提出了用以模拟地表水污染物浓度的去耦合直接法。采用2014—2016年兰江流域将军岩、低田、半潭、沈村、焦岩5个断面的水文和氨氮、高锰酸盐指数、总氮、总磷4项污染指标逐日实测数据,通过差分法求解了一阶和二阶偏导项,并采用2017—2019年实测数据对模型进行了验证和评价。结果表明:去耦合直接法能够有效预测地表水主要污染物浓度的变化方向和变化量,且模拟结果和实测结果的符合情况较好,4项污染指标模拟值的Nash-Sutcliffe系数为0.479~0.654,模拟值与实测值的偏差为0.070~0.352;汇流区面积增加后,影响因子不确性对污染物浓度的扰动减小,污染物浓度变化的规律性增强,去耦合直接法的模拟精度升高。与SWAT模型的对比分析结果显示,在污染成因不发生显著变化的情况下,去耦合直接法的模拟精度优于SWAT模型。 展开更多
关键词 去耦合直接法 兰江流域 污染物浓度模拟 地表水水质
下载PDF
Simulation of Water Quality of Neijiang River Based on RMA4 Model
3
作者 Y.L. Wan Y. Ren B. Zhang C.D. Wu 《Journal of Environmental Science and Engineering》 2010年第10期35-39,共5页
Using the RMA4 water quality model to simulate the water quality of Neijiang river in Zhenjiang, the result showed that: in the dry season the ranges of the concentration of various pollutants simulation of Neijiang ... Using the RMA4 water quality model to simulate the water quality of Neijiang river in Zhenjiang, the result showed that: in the dry season the ranges of the concentration of various pollutants simulation of Neijiang were BOD5 3.2-5.2 mg/L, CODMn 4.7-6.8 mg/L, NH3-N 0.46-1.8 mg/L, TP 0.23-0.48 mg/L, and in the rainy period, the ranges of the concentration of various pollutants simulation of Neijiang were BOD5 0.69-0.73 mg/L, CODM, 1.9-2.3 mg/L, NH3-N 0.25-0.38 mg/L, TP 0.14-0.17 mg/L.These simulated values were closed to the monitoring values of pollution concentrations of Neijiang, which indicated that RMA4 was certain practical in the river water quality simulation, and simulation results have a certain degree of reliability, and it provides a scientific planning and management method for the river pollution control. 展开更多
关键词 RMA4 Neijiang river water quality simulation environment planning
下载PDF
Magnitude and Trends of High-elevation Cloud Water Pollutant Concentrations and Modeled Deposition Fluxes
4
作者 Selma Isil Thomas Lavery +2 位作者 Kristi Gebhart Christopher Rogers Carol Armbrust Wanta 《Journal of Environmental Science and Engineering(B)》 2017年第3期127-143,共17页
Cloud water samples, LWC (Liquid Water Content) and meteorological data were collected at the Clingmans Dome, Tennessee, high-elevation site in Great Smoky Mountains National Park during the warm season from 1994 th... Cloud water samples, LWC (Liquid Water Content) and meteorological data were collected at the Clingmans Dome, Tennessee, high-elevation site in Great Smoky Mountains National Park during the warm season from 1994 through 2011. This paper presents results from 2000 through the conclusion of the study in 2011. Samples were analyzed for SO42", NO3, NH4+ and H+. These measurements were supplemented by measurements of ambient air and precipitation concentrations to estimate dry and wet deposition. Cloud water concentrations, LWC, cloud frequency, various meteorological measurements and information on nearby forest canopy were used to model cloud water deposition to gauge trends in deposition. Total deposition was calculated as the sum of cloud, dry and wet deposition estimates. Concentrations and deposition fluxes declined over the study period. The decreases in cloud water SO42" and NO3 concentrations were 40 percent and 26 percent, respectively. Three-year mean 5042 and NO3 deposition rates decreased by 71 percent and 70 percent, respectively. Trends in concentrations and depositions were comparable with trends in SO2 and NOx emissions from Tennessee Valley Authority power plants and aggregated emission reductions from electric generating units in adjacent states. Back trajectories were simulated with the HYSPLIT model and aggregated over cloud sampling periods from 2000 through 2007 and 2009 through 2011. Trajectories during periods with high H+ concentrations traveled over local EGU (Electric Generating Unit) emission sources in Tennessee and Kentucky to the Ohio River Valley, Alabama and Georgia with the conclusion that these source regions contributed to acidic cloud water deposition at Clingmans Dome. This work was supported by U.S. Environmental Protection Agency and the Tennessee Valley Authority with infrastructure support provided by the National Park Service. 展开更多
关键词 Cloud water acid deposition liquid water content EMISSIONS back trajectory high elevation.
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部