基于中国风能资源专业观测网的近地层风切变日变化特征

以中国风能资源专业观测网2009年5至10月10~120 m的梯度风观测数据分析了全国近地层风切变特征,结果表明:①风切变总体呈现规律性变化趋势,即:日出前和日落后切变指数较大,随着近地层温度升高,切变指数逐渐下降,近地层温度达到最高时,切变指数达到最低值,后随着日落、地面温度下降,切变指数逐渐上升,直到次日日出、日落周期;②因局地海(湖)陆分布的差异以及下垫面粗糙程度的不同,切变指数在各地的变化可归纳为如下几种类型:典型陆地型、海陆效应差异型、湖(河)陆效应差异型、特殊地形(峡谷)型、切变指数偏大型和特殊型;③从不同梯度间的风切变特征来看,低层(30 m附近)较为明显,而中高层(50 m和70 m)较小,说明30 m高度为我国近地层风速变化较为明显的层次。该研究资料序列短,可能在反映全国近地层风切变特征的普适性方面还存在一定的不足,但仍可作为我国风能资源丰富区近地层不同梯度间风切变分布和变化特征的重要参考,期望通过该研究的开展为风电场的布设及近地面层风能资源的利用提供技术依据。     

大气污染物对兰州心脑血管疾病住院影响的病例交叉研究

为探讨兰州市大气污染对心脑血管疾病住院的急性健康效应,采用单向回顾性配对病例交叉设计,分析了兰州市2001~2005年大气污染物浓度(PM10、SO2及NO2)短期升高对人群心脑血管疾病住院的影响.结果表明,单向回顾性1:2匹配病例交叉研究的效应值(ORs)最大,在控制同期天气因素后,滞后3d PM10浓度每升高10μg/m3 ,总心脑血管疾病及心血管疾病住院的ORs分别为1.002(95%CI:1.001~1.003)和1.002(95%CI:1.001~1.003);无滞后SO2浓度每升高10μg/m3对总心脑血管疾病住院的OR值为1.005(95%CI:1.000~1.009);NO2在滞后1d浓度每升高10μg/m3对总心脑血管疾病OR值为1.022(95%CI:1.014~1.030);对心血管疾病及脑血管疾病住院影响均在滞后2d达到最大,ORs值分别为1.021(95%CI:1.011~1.030) 和1.019(95%CI:1.005~1.033).在多污染物模型中,PM10仍对心血管疾病住院人数增加有统计学意义;NO2对心脑血管疾病住院的影响均较单污染物模型中大.     

石家庄地区雾霾天气下云滴和云凝结核的分布特征

2009年5~10月在石家庄地区对雾霾天气下的近地面到高空的云雾滴和云凝结核(CCN)进行了7架次飞机探测.利用PMS云粒子测量仪器、机载温湿仪和连续气流纵向热梯度云凝结核仪获得的云雾粒子和云凝结核(CCN)探测资料,分析了层积云(Sc)和高积云(Ac)中云粒子浓度、液态含水量、粒子算术平均直径和粒子有效平均直径的垂直分布特征;分析了CCN垂直和水平分布特征以及谱分布.结果表明雾霾天气状况下,云滴数浓度在102个/cm3量级上.高云粒子粒径总体大于低云粒子.云含水量平均值范围为0.03~0.14g/m3;地面到600 m高度内, CCN值的平均值为3034cm-3(过饱和度S=0.3%).对CCN的活化谱进行拟合表明石家庄属于典型大陆性核谱,云对CCN有消耗作用,逆温层的存在使得该区CCN浓度累积增加.     

高架桥对街道峡谷内大气颗粒物输运的影响

随着我国城市汽车保有量的迅速攀升,城市中心区域的空气质量与生态环境急剧恶化.利用计算流体力学(CFD)数值模拟,研究了3种H/W(街道建筑物高度/峡谷宽度)下高架桥对街道峡谷内颗粒物扩散的影响.建立了街道峡谷内机动车尾气中颗粒物扩散模型,并给出了边界条件.采用标准k-ε模型与离散相模型对街道峡谷内部气流运动、颗粒物扩散及浓度分布进行了模拟计算,并计算了高架桥对风场及颗粒物扩散的影响.结果表明:H/W越大,街道峡谷内颗粒物浓度越高,同时颗粒物平均滞留时间越长.相对于没有高架桥的街道峡谷,高架桥附近区域风场变化明显,但对建筑物墙壁、地面及峡谷顶层处影响较小.街道峡谷内存在高架桥时,在墙壁较低处颗粒物浓度增加.      

小型生活垃圾填埋场设计洪水计算方法的选择

以甘肃省静宁县威戎镇生活垃圾填埋场为例,对目前在计算小型生活垃圾填埋场洪峰流量时通常采用的几种方法进行了比较及合理性分析。研究认为,对于上游汇水面积为特小流域的小型生活垃圾填埋场,设计洪水的防洪标准应按照50年一遇设计、100年一遇校核,按照有、无降雨资料推荐了合理的计算公式,为小型生活垃圾填埋场设计洪水计算方法的确定提供了参考。     

煤炭开采区生态损害补偿评估模型的构建与应用

煤炭开采区的生态补偿包括对生态损害的补偿、对厂商与居民负担的外部成本补偿以及对新资源和替代能源的开发补偿三部分.将煤炭开采区的生态损害补偿过程分为生态修复、生态恢复和生态平衡3个阶段.通过确定煤炭开采区生态损害补偿3个阶段的生态补偿目标,构建各阶段土地、植被和水环境生态损害补偿的评估模型,分别测算了完成生态修复、生态恢复和生态平衡3个阶段补偿目标所需的生态损害补偿总量和每t煤所需提取的生态损害补偿金额.      

地带性土壤对苯胺吸附行为的研究

土壤作为挥发性有机污染物的源与汇,研究污染物在其中的吸附行为对探明污染物环境归趋和生态风险意义深远。以苯胺为代表性污染物,在综合分析我国12种地带性土壤的基本理化性质基础上,探讨苯胺在土壤-水界面分配规律以及该吸附行为与土壤理化性质之间的关系。结果表明:1）12种地带性土壤对于苯胺的吸附能力差异明显,其中,黑龙江黑土吸附苯胺能力最强,理论饱和吸附量最大;2）考虑到部分土样的吸附等温线表现出明显的非线性,用Freundlich模型拟合土壤吸附苯胺的等温线;3）12种地带性土壤的理化性质差异显著;4）有机质含量对苯胺土-水界面吸附行为影响最为显著:有机质含量越高,土壤对于苯胺的吸附能力越强。     

Effects of different mowing frequencies on soil carbon and nitrogen changes in leymus chinensis steppe of Hulun Buir北大核心CSCD

Mowing is the main management of Hulun Buir grasslands in Inner Mongolia; therefore, understanding the changes of soil organic carbon (SOC), total nitrogen (TN), and carbon sequestration under different mowing frequencies will provide an important scientific basis for grassland carbon sink management in Inner Mongolia. Three treatment plots were devised in the study area, including enclosed sample (Y), mowing every other year (2G), and mowing once a year (1G), where SOC, TN content and storage were investigated. The results showed that with increased mowing frequency, the SOC and TN content showed a decreasing trend in the 0-30 cm depth soil layer. The SOC and TN content were different in each soil layer, which decreased gradually with increasing soil depth in Y and 2G plots, whereas increased gradually in 1G plots. The soil carbon storage was significantly correlated with the soil nitrogen storage, and both showed a significant linear decrease with increased mowing frequency, which showed as carbon and nitrogen loss. In 2G plots, the soil carbon storage decreased by 17.1% and soil nitrogen storage decreased by 20.8%. In 1G plots, the soil carbon storage decreased by 21.6% and soil nitrogen storage decreased by 29.3%. The results showed that the change of soil carbon and nitrogen was sensitive to mowing frequency for the Hulun Buir grassland. It is possible to reduce the loss of carbon and nitrogen by reasonably controlling mowing frequency, and the sustainable use of grassland could be achieved with appropriate fertilization. Keywords. © 2018 Science Press. All rights reserved.     

An analysis of the developmental differences in Borneo’s Southeastern and Northwestern Coastal Zones

In this research, Landsat TM images were used to extract the land use information for Borneo’s coastal zones (0 to 35 km) during three time periods (1990, 2000, and 2010). Then, in combination with the DEM and shoreline types, the developmental differences under the influences of the geographical boundaries of the Borneo coastal zones were examined from such perspectives as the spatial distribution characteristics of the land development, sea-land gradient variation characteristics, and comparative analyses of the different regions. The results indicated that the geographic boundaries, as well as the different countries, had great influences on the development of the coastal zones. The regions with the most active development in Borneo’s coastal zones were mainly located in the estuary bay, onshore with land on both sides, and the near-shore alluvial plain with DEM?<?50 m. The northwestern coast zone showed relatively flat topography, and was close to an important international waterway. Therefore, the development in this area was found to be more intense than in the southeastern coastal zone, and which was characterized by a long developmental history. On one side of the geographical boundary, the development was also found to differ among the different countries. Malaysia was observed to be dominated by industrial plantations. Meanwhile, the industrial plantations, agriculture, and aquaculture in Indonesia were significantly increased, which was closely linked with the national economic policies. Furthermore, the development of Borneo’s coastal zones has led to vegetation degradation towards a constant inland development, plantation enlargements, agricultural development, and cleared and burnt areas, which have resulted in the land use transfer of 22,000 km² of forest land within the 0 to 35 km range.     

办公室地面灰尘中PAHs污染的时间变化规律及人体健康风险

为探究室内地面灰尘中15种多环芳烃(PAHs)污染的时间变化规律,于2012年3—7月对北京市一座办公楼内的某办公室进行了每周一次的连续高密度灰尘样品采集。利用高效液相色谱-荧光检测器检测15种PAHs含量。结果表明,该办公室内灰尘样品中∑PAHs浓度范围为1 180~24 300 ng·g~(-1),平均浓度为8 960 ng·g~(-1)。总体上,检出的PAHs以3环PAHs为主,其中菲占PAHs总量的59%以上,其次是4环和5环PAHs,4环PAHs中占的比重最高,约占4环PAHs总量的34%。该办公室内灰尘中∑PAHs的浓度存在显著的时间变化差异,总体表现为∑PAHs浓度随气温升高而降低的趋势。源解析结果显示,机动车排放源、石油源、木材与煤燃烧是北京市室内灰尘中PAHs的主要来源。健康风险评估结果显示,ILCR皮肤接触ILCR手口摄入,且CR均值大于10-6,说明该采样点的PAHs污染存在"潜在致癌风险"。