High-resolution modeling and evaluation of ozone air quality of Osaka using MM5-CMAQ system

High-resolution modeling approach is increasingly being considered as a necessary step for improving the monitoring and predictions of regional air quality. This is especially true for highly urbanized region with complex terrain and land-use. This study uses Community Multiscale Air Quality (CMAQ) model coupled with MM5 mesoscale model for a comprehensive analysis to assess the suitability of such high-resolution modeling system in predicting ozone air quality in the complex terrains of Osaka, Japan. The 1-km and 3-km grid domains were nested inside a 9-km domain and the domain with 1-km grid covered the Osaka region. High-resolution Grid Point Value-Mesoscale Model (GPV-MSM) data were used after suitable validation. The simulated ozone concentrations were validated and evaluated using statistical metrics using performance criteria set for ozone. Daily maxima of ozone were found better simulated by the 1-km grid domain than the coarser 9-km and 3-km domains, with the maximum improvement in the mean absolute gross error about 3 ppbv. In addition, 1-km grid results fared better than other grids at most of the observation stations that showed noticeable di erences in gross error as well as correlation. These results amply justify the use of the integrated high-resolution MM5-CMAQ modeling system in the highly urbanized region, such as the Osaka region, which has complex terrain and land-use.     

中国城市道路路面径流研究

随着我国城市化的进程,城市建筑用地面积逐步增加,城市道路系统是城市地表的主要组成,在给城市带来便利的时候还产生了一些问题,城市道路路面径流便是其中之一,作为城市地表径流的重要形式,其问题愈加凸显。本文以超渗地表产流模型为基础,经过改进提出了城市道路路面径流模型。通过对这一模型的分析研究,阐述了路面径流中存在的问题并提出了几点在现阶段可行的改进措施,以期对城市建设尤其是城市道路系统的建设起到指导作用。     

模拟酸雨条件下垃圾填埋的重金属地球化学迁移模型——以徐州为例

为研究酸雨沉降条件下垃圾中重金属迁移过程,以重金属浓度变化为基础,建立了生物反应器填埋场重金属浸出和淋出的地球化学迁移过程模型和地球化学迁移的数学预测模型。研究表明,重金属的浸出顺序为As、Ni、Cr、Co、Cd、Mn、Cu、Zn、Sn、Hg、Pb、Fe,淋出顺序为Mn、Co、Ni、Cr、Cu、Cd、As、Fe、Zn、Hg、Pb、Sn;对生活垃圾重金属浸出所建立的数学模型大多为指数函数、幂函数、二次函数,对模拟酸雨条件下的生物反应器填埋场重金属的淋出建立的数学模型大多为二次函数、幂函数,数学模型的相关系数在0.9以上,模型拟合效果较为理想;通过引进重金属元素释放系数建立了生物反应器填埋场重金属淋出累积总量的模型,修正后的模型的计算结果和实测值的误差在千分之一以内,可用于预测填埋场内重金属溶出总量。     

污染减排影响经济发展的投入产出模型及实证分析

构建了环境经济投入产出模型,针对淘汰落后产能对经济发展的影响进行了实证研究,定量计算了2006～2007年问淘汰落后产能对于经济社会发展的贡献度和影响.研究表明,虽然淘汰落后产能对于传统的国民经济发展指标有一定负面影响,但对于优化经济增长方式确实起到了积极作用.一是优化了产业结构,第一、二、三产业结构由2005年的12.4%,48.6%,39.0%调整为2006年的12.5%,48.2%和39.3%,2007年调整为12.6%,47.8%和39.6%,第二产业所占比重逐步下降,第三产业所占比重逐步上升;在第二产业内部.造纸、食品、电力、炼焦、金属冶炼、非金属矿物制品业等重污染行业的增加值所占比重持续下降,产业结构逐步得到优化.二是提高了经济效率,从涉及到的造纸、食品、电力、炼焦、金属冶炼、非金属矿物制品业6个产业部门2006年和2007年的COD和SO_2的产污系数看,都比2005年有所降低.2006年和2007年,食品制造业的单位增加值COD排放量比2005年分别下降了6.6%和25.0%;金属冶炼及压延加工业的单位增加值SO_2排放量比2005年分别下降3.5%和6.9%.     

中国食管癌发病区环境地球化学及相关模型的研究进展

食管癌是一种常见的消化道疾病,在世界许多国家和地区均有发生,其中环境因素是引发地方病食管癌的重要因素。目前,模型被应用于食管癌的研究中,食管癌研究模型主要有食管癌发病率预测模型,食管癌预防模型及食管癌动物模型等。本文主要综述了前人对中国食管癌发病区的土壤、饮用水和食物等环境地球化学因素,以及与食管癌研究相关的土壤模型和食管癌模型的研究进展。     

红外分光光度法测定水中动植物油的不确定度评定

文章对红外分光光度法测定水中动植物油的不确定度来源进行了分析,构造出合理的数学模型,确定了各输入量之间的关系,量化各分量后,合成得到满意的结果。从而提出,根据被测量及其所依赖的输入量之间的关系构造数学模型,并综合运用不同的评定方法对各个分量进行量化,可实现对某些检测项目的不确定度评定。     

川渝地区农业生态系统NH3排放

基于县级农业活动水平数据及区域氮循环模型IAP-N方法,并根据地理特征、环境气候条件及地区行政区划将川渝地区划分成4个亚区,详细估算了1990~2004年川渝地区农业生态系统各氨排放源的排放及其时空分布状况.结果表明,1990~1994、1995~1999和2000~2004年3个时期,整个川渝地区农业生态系统氨(NH3)年均排放量(以纯氮量计)分别为626.7、670.5和698.8 Gg.a-1.氨排放年际变化呈增长趋势,各氨排放源贡献率的年际变化不大,2000~2004年川渝地区施肥农田、粪便管理系统和秸秆燃烧氨排放源的贡献率分别为53%、46%和1%,排放量分别为374.9、318.2和5.6 Gg.a-1.各地区的氨排放源结构有所不同,成都平原和重庆地区施肥农田氨排放贡献率最高,而川西南地区和川西北地区以粪便管理系统氨排放为主.川渝地区农业生态系统氨排放地理分布总体上呈"东高西低"现象,2000~2004年,重庆丘陵地区、成都平原地区、川西南山地区及川西北高原地区的氨排放量分别为165.6、408.8、85.9和38.8 Gg.a-1,氨排放强度分别为20、28、9.1和1.6kg.(hm2.a)-...     

外加氮源对滇池沉积物氮矿化影响的研究

采用连续培养法,在淹水条件下研究了添加外源氮对滇池沉积物氮矿化过程的影响.结果表明,在本研究条件下,添加水生植物残体或无机氮,均未改变沉积物氮矿化的总体趋势,表现为培养前期矿化量迅速升高并达到峰值,之后逐渐下降.各处理累积氮矿化量最大值为722.34~625.67mg/kg,约占总氮的10.5%~20.3%,与土壤相比,具有较大的矿化潜能.外加水生植物(孤尾藻,芦苇)残体的处理约在21d达到累积氮矿化量的峰值,比原沉积物分别增加了15.9%和9.3%.外加水生植物(孤尾藻,芦苇)残体和无机氮的处理比仅添加水生植物残体的处理累积氮矿化量达到峰值的时间晚一周,其最大累积氮矿化量分别减少了7.5%,9.8%和8.3%.运用Two–pool模型对试验结果进行了非线性回归拟合,通过参数和实际应用可能性剖析,Two–pool模型能较为准确地描述沉积物氮矿化过程.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

合肥城郊典型源头溪流不同渠道形态的氮磷滞留特征

为揭示源头溪流中深潭和曲折沟渠两种典型渠道形态的氮磷养分滞留特征,在合肥城郊二十埠河的某一级支流上,以NH4Cl和KH2PO4为添加营养盐,以NaCl为保守型示踪剂,开展现场示踪实验.在此基础上,利用OTIS模型软件、暂态存储参数和养分螺旋原理,解析深潭和曲折沟渠氮磷滞留特征.结果表明:1深潭的As值较曲折沟渠大,但其α值则较弯曲沟渠小1个数量级,而且As和α值随水文条件变化均不显著;2深潭中主渠道流动水体的NH+4-λ较其暂态存储区的NH+4-λs高2~3个数量级,曲折沟渠的NH+4-λ与NH+4-λs数值较为接近;3深潭中NH+4-Vf较SRP-Vf高1~2个数量级,而在曲折沟渠中,不仅NH+4-Vf与SRP-Vf数值较为相近,NH+4-Sw与SRP-Sw也基本相当;4深潭的NH+4-U较SRP-U高出2~3个数量级,曲折沟渠NH+4-U则较SRP-U高出1~2个数量级;5总的来说,在对NH+4和SRP滞留影响方面,深潭和曲折沟渠存在较大的差异性,且在深潭中NH+4的滞留效应显著超过SRP.