大气降水中重金属离子特征研究

大气降水中重金属离子的研究可以反映大气污染、地表水污染的信息.通过对国内外大气降水中重金属研究现状的阐述和大气降水中重金属的来源进行理论分析,并利用实地大气降水采样分析,归纳出其中重金属的特征,监测当前大气的污染状况,从而为区域性的大气中重金属的污染评价及污染治理提供理论依据.降水中的重金属元素主要包括Pb、Mn、Zn、Cu、Cd、Cr等,通过分析测定可以为利用大气降水作为重要饮用水补给源的区域提供饮水安全保障.     

“十一五”期间太原市环境空气质量及影响因素分析研究

依据太原市环境空气质量监测数据,采用Daniel趋势检验法,综合污染指数法和回归分析法研究了“十一五”期间太原市的环境质量变化趋势和影响因素.结果表明,从年均浓度值分析来看,除NO2外,SO2和PM10都存在超标现象,长期来看,三种污染物浓度下降趋势明显,这与太原市环境保护行动密切相关.月际间浓度值差异除PM10在春季出现波动外,SO2和NO2均呈现“U”型曲线,这种规律与气象条件密切相关.三种主要大气污染物污染指数都有所下降,但太原市区空气污染仍以SO2和PM10为主,说明烟煤型污染的空气污染特征没有改变.主要大气污染物的空间浓度分布不均与地形和气象特征以及城市布局和污染源排放有直接关系.太原市“十一五”期间大气环境质量整体改善,但形势依然严峻.     

西安市PM_(2.5)污染源位置确定的模型应用研究

针对空气中PM2.5污染物的传播问题,以西安市的情况为实例,合理考虑风力等天气和季节因素的影响,建立能够刻画该地区PM2.5的发生和演变规律的有风高斯点源扩散数学模型,代入相关数据后,利用MATLAB软件求解出PM2.5污染源由一区扩散到另一区的浓度,最后由综合的各区总浓度得出PM2.5污染源的位置,并与该市实际检测到PM2.5数据进行对比分析。结果表明,确定的位置比较准确,该方法能为城市污染治理提供参考。     

Seasonal and diurnal variations of atmospheric peroxyacetyl nitrate, peroxypropionyl nitrate, and carbon tetrachloride in Beijing

Atmospheric peroxyacetyl nitrate(PAN), peroxypropionyl nitrate(PPN), and carbon tetrachloride(CCl4) were measured from September 2010 to August 2011 in Beijing. PAN exhibited low values from mid-autumn to early spring(October to March) with monthly average concentrations ranging from 0.28 to 0.73 ppbV, and increased from early spring to summer(March to August), ranging from 1.37–3.79 ppbV. The monthly variation of PPN was similar to PAN, with low values(below detection limit to 0.18 ppbV) from mid-autumn to early spring, and a monthly maximum in September(1.14 ppbV). The monthly variation of CCl4was tightly related to the variation of temperature, exhibiting a minimum in winter(69.3 pptV) and a maximum of 180.6 pptV in summer. Due to weak solar intensity and short duration, PAN and O3showed no distinct diurnal patterns from morning to night during winter, whereas for other seasons, they both exhibited maximal values in the late afternoon(ca. 15:00 to 16:00 local time) and minimal values during early morning and midnight. Good linear correlations between PAN and PPN were found in autumn(R = 0.91), spring(R = 0.94), and summer(R = 0.81), with slopes of 0.130, 0.222, and 0.133, respectively, suggesting that anthropogenic hydrocarbons dominated the photochemical formation of PANs in Beijing. Positive correlation between PAN and O3 in summer with the low slopes( O3 / PAN) ranging from 9.92 to 18.0 indicated serious air pollution in Beijing, and strong negative correlation in winter reflected strong O3consumption by NO titration and less thermal decompositin of PAN.     

Characteristics of atmospheric particles and heavy metals in winter in Chang-Zhu-Tan city clusters, China

To understand the pollution characteristics of atmospheric particles and heavy metals in winter in Chang-Zhu-Tan city clusters, China, total suspended particulate(TSP) and PM10samples were collected in cities of Changsha, Zhuzhou and Xiangtan from December 2011 to January 2012, and heavy metals of Cd, Pb, Cr, and As were analyzed. It shows that the average TSP concentration in Changsha, Zhuzhou and Xiangtan were(183 ± 73),(201 ± 84) and(190 ± 66) μg/m3respectively, and the average PM10 were(171 ± 82),(178 ± 65) and(179 ± 55) μg/m3respectively. The lowest TSP and PM10concentrations occurred at the background Shaping site of Changsha. The average ratio of ρ(PM10)/ρ(TSP) was 91.9%, ranging from 81.3% to 98.9%. Concerning heavy metals, in TSP samples, the concentration of Cr, As, Cd and Pb were 28.8–56.5, 18.1–76.3, 3.9–26.1 and 148.0–460.9 ng/m3, respectively, while in PM10samples, were 16.4–42.1, 15.5–67.9, 3.3–22.2 and 127.9–389.3 ng/m3, respectively. The enrichment factor of Cd was the highest, followed by Pb and As, while that of Cr was the lowest.     

基于百度指数的长江中游城市群城市网络特征研究

随着地理研究迈入大数据时代,运用互联网展开城市网络结构研究逐渐成为经理地理研究的新思路。以长江中游城市群为研究对象,借助百度指数,获取2011年~2014年百度用户关注度,构建百度指数城市信息流网络,从大城市群视角和所辖三大子城市群视角,分别探讨城市网络格局的时空变化。研究发现:长江中游城市群在一体化进程中城市等级日益明晰,差距拉大。三大子城市群表现出极化效应与扩散效应并存,区域非均衡性突显;互联网的普及在一定程度上重塑和改造着城市群,但非完全颠覆传统城市网络格局,地理区位对城市网络格局和城市影响力的影响仍不容忽视。     

汉江上游金水河流域氮湿沉降

汉江上游金水河流域是南水北调工程的重要水源涵养区,但是氮污染已成为该流域水质的主要威胁因素.该研究对汉江的金水河流域开展了为期1 a(2012-02~2013-02)的氮湿沉降观测,并利用氮输出模型估算了氮湿沉降对河流氮负荷的贡献量.结果表明雨水中总氮(DTN)的浓度在0.24~2.89 mg·L-1之间,铵态氮(NH+4-N)、硝态氮(NO-3N)及有机氮(DON)分别占42.8%、13.3%和43.9%;雨水氮浓度随降雨量增大而变小,明显受到降雨的稀释作用.流域内氮湿沉降主要来自人类活动,沉降负荷在4.97~7.00 kg·(hm2·a)-1之间,受降雨量的主要影响,上游地区的氮湿沉降负荷>下游地区>中游地区,春夏两季约占全年氮湿沉降的81%.流域氮湿沉降对河流氮负荷贡献量约为34 000~46 000 kg,只占流域氮肥贡献量的5.05%~6.78%,远小于流域内农业活动化肥氮的贡献量,不是河流氮的主要来源.     

挥发性有机污染物排放控制标准体系的建立与完善

以大气灰霾为代表的区域复合污染问题,导致挥发性有机物(VOCs)成为重点控制的污染物之一.通过对国家和地方挥发性有机污染物排放标准现状分析,依据排放特征以及我国挥发性有机物排放清单,建立和完善挥发性有机物排放控制标准体系.     

利用FLEXPART模式反演中国区域SF6排放量

六氟化硫(SF_6)是一种长寿命卤代温室气体,被列为《京都议定书》限排物种.随着经济高速发展,中国的SF6排放量受到世界各国的关注.采用传统的"自下而上"清单方法估算SF6排放量时,所需排放因子、活动水平数据的准确性和时效性存在较大局限.因此,本文利用拉格朗日粒子扩散模式FLEXPART,结合2009年北京上甸子区域大气本底站SF6浓度观测资料,尝试建立中国区域SF6排放量的反演方法.结果表明,初步反演的2009年中国区域SF6排放量为1.25×103(0.53×103~1.97×103)t·a-1,与文献结果相当,源排放量的不确定性从1.05×103t·a-1减小到0.72×103t·a-1.与先验源相比,反演源的相关系数从0.37提高到0.43,均方根误差减小了2.64%.     

阜新市空气监测点位优化的聚类分析

基于聚类分析法利用数据之间距离系数进行分类的原理,建立空气监测点位聚类分析优化模型,结合阜新市地形、气象及历史监测数据,进行阜新市空气监测点位布设优化应用,优化结果表明:距离相似水平取d=0.3时,环保局(B点)与人民公园(C点)监测点空气污染物浓度分布相似性最高,合并为1点,增设气象台监测点位作为清洁背景点,4个点位构成阜新市空气监测新网络;利用CALPUFF模型模拟对优化后监测点位进行相关性检验。检验结果表明:监测点位优化后SO2浓度与实测值相关系数为0.984,PM10相关系数为0.968,NO2相关系数为0.973。CALPUFF模型模拟值与实际监测值之间相关系数均大于0.75,表明优化后的阜新市空气监测点位具有客观环境代表性;监测点位优化与检验方法具有一定应用价值。