基于空间尺度效应的山东省PM2.5浓度时空变化及空间分异地理探测

基于PM_2.5遥感数据,采用Theil-Sen Median趋势分析和Mann-Kendall显著性检验,分析2000~2021年山东省PM_2.5浓度时空变化特征,结合地理探测器,在省-市-县三级空间尺度上探测影响山东省PM_2.5浓度空间分异的影响因子影响力.结果表明：①时间上,2000~2021年山东省ρ（PM_2.5）均值在38.15~88.63 μg·m^-3之间,略微高于《环境空气质量标准》中可吸入颗粒物的二级标准限值（35 μg·m^-3）.在年际尺度上,2013年是ρ（PM_2.5）变化的峰值年,其值为83.36 μg·m^-3,据此将山东省PM_2.5浓度变化趋势分为两个阶段：持续上升和快速下降阶段.在季节尺度上,PM_2.5浓度呈现“夏低冬高,春秋居中”分布特征和先降后升的“U”型变化规律.②空间上,山东省PM_2.5浓度呈现出“西高东低”的空间分布格局,PM_2.5浓度高值区分布山东省西部地区,低值区则分布在东部半岛地区.PM_2.5浓度空间变化趋势呈现显著的空间异质性,极显著下降的区域主要分布在东部半岛地区.③因子探测结果表明,气候因子是影响山东省PM_2.5浓度空间分异的重要影响因素,平均气温对山东省PM_2.5浓度空间分异的影响最高,q值为0.512.省-市-县多尺度探测结果显示,影响PM_2.5浓度空间分异的影响因子及其影响力在不同空间尺度上具有差异性.省级尺度上,平均气温、日照时数和坡度是影响PM_2.5浓度空间分异的主要影响因子;市级尺度上,降水、高程和相对湿度是影响PM_2.5空间分异的主要影响因子;县级尺度上,降水、平均气温和日照时数是影响PM_2.5浓度空间分异的主要影响因子.     

青藏高原四季日照时数年际、年代际变化趋势分析

利用1961-2007年青藏高原日照时数资料,通过统计方法初步分析了近47年青藏高原四季日照时数的年际、年代际变化特征,得到以下几点初步认识：青藏高原四季日照时数整体上均呈现自东南向西北增加的特点,其空间变化也存在明显的区域差异：青藏高原西部和中部日照时数增加,高原东南部和北部呈减少的趋势。近47年来青藏高原四季日照时数年际和年代际变化明显,总体均呈减少趋势,20世纪60年代以偏少为主,70年代和80年代整体偏多,90年代和21世纪初高原日照时数以偏少为主,各年代之间日照时数区域差异明显。     

Comparison of Ground Water Bacterial Cell Sizes from the Agricultural, Domestic and Industrial Areas of Mysore District, Karnataka State, India

A two-year study on temporal variations in the ground water heterotrophic bacterial cell sizes of free living bacteria(FLB)and particle bound bacteria(PBB)from the agricultural,domestic and industrial areas was carried out from Februar y2005 to January 2007.The overall mean cell length of FLB and PBB was similar in all the ground water studied.However,the season wise grouped data revealed significant seasonal changes in cell length of FLB and PBB,as smaller bacteria were noticed during rainy season in the ground water in agricultural area in both the years,and only in the second year of study in domestic and industrial areas.Generally,it was noticed that there were summer maximum and rainy minimum values of the cell length of PBB in the ground water in agricultural,domestic and industrial areas in the second year of study.The Pearson's correlations showed the presence of 8(in agricultural area),5(in domestic)and 3(in industrial) significant correlations with environmental(Physico-chemical)parameters,respectively.The regression analysis revealed that as much as 12%of variation in the mean length of FL Bwas due to NO3( )in agricultural area and 9%due to total solids( )indomestic area.However,the 8% variation in bacterial cell size of FLB was due to Mg( )in industrial area.Whereas,13%variation in mean length of PBB was due to S04( )in agncultural area and 10%due to total anions of strong acid(TASA)( )in domestic area.Furthermore,10% of variation Was due to PO4( )in industrial area.Thus,the statistical analysis revealed that several environmental variables were potentially responsible for some of the temporal variations in aquatic heterotrophic bacterial cell size,suggesting probably the stressed environment in these ecosystems.     

北京市城市湖泊上空甲烷浓度水平和季节特征

通过对北京市市区内大于10 000 m2的10个湖泊上空0.5 m处甲烷浓度的季度观测,研究了北京市城市湖泊上空甲烷的浓度水平,并对其中4个典型的湖泊进行了每月1~2次的观测,分析了城市湖泊上空甲烷浓度的连续变化特征。结果表明湖泊上空甲烷浓度年平均值为2.337±0.431 mL/m3,高于全球均值和其他相关研究人员对北京市上空监测的结果。湖泊上空甲烷浓度季节之间的差异性显著(P<0.01),夏季的甲烷浓度较高(2.758±0.516mL/m3),秋季和春季相对较低。4个典型湖泊上空甲烷浓度连续变化具有一定的规律,大都在7-8月份达到甲烷浓度的高峰期,3月初融冰时都会有小幅增加;位于市中心的什刹海上空甲烷浓度相对较高。这表明了北京市内湖泊是甲烷排放的一个重要源头,同时也反映了北京作为一特大城市,其湖泊上空甲烷浓度受人类活动影响的特征。     

Measurement of Atmospheric Deposition Under Forest Canopies: Some Recommendations for Equipment and Sampling Design

Quantification of the forest water flux provides valuable information for the understanding of forest ecosystem functioning. As such, throughfall (and stemflow to a lesser extent) has been frequently measured. Although throughfall collection may seem relatively simple, the requirements to obtain reliable estimates are often underestimated. This review addresses the criteria to take into account when working out the sampling procedure, from the selection of equipment to implementation in the field. Sound sampling of the forest water flux is difficult due to its high spatial and temporal variation. The high costs entailed by the ideal sampling design often prohibit its implementation. Different procedures are available, some of which are compromises between the aim of the study (monitoring or experimental study, short or long term objectives, absolute or relative estimates, quality of the assessment to be achieved) and the available means.     

Distribution of perfluorinated alkyl substances in marine shellfish along the Chinese Bohai Sea coast

Perfluorinated alkyl substances (PFASs) are emerging persistent organic pollutants, which pose a threat to human health primarily by dietary exposure, especially through seafood. Bohai Sea (a semi-closed sea located north of China) is an important shellfish aquaculture area that is possibly highly-polluted with PFASs. In this study, we first evaluated contamination by PFASs in a total of 230 samples of marine shellfish from the Bohai Sea. Samples included five important shellfish species, collected from important aquaculture spots distributed around the Bohai Sea. Samples were analyzed by an ultra-fast liquid chromatography-tandem mass spectrometry method, which could simultaneously detect 23 PFASs in shellfish. Our research verified that PFASs have become a threat to the safety of shellfish products in this area. Furthermore, contamination by PFASs in shellfish changed depending on the components of PFASs, the species of shellfish, and the sampling sites. Many of the 23 target compounds contributed to the high detection ratio (>50%) as follows: perfluorooctanoic acid (PFOA)?>?perfluorononanoic acid?>?perfluorodecanesulfonic acid?>?perfluorooctanesulfonic acid (PFOS). Compared with other dominant components, PFOA not only had the highest detection percentage in shellfish samples (98.3%), but its detection level contributed to 87.2% of total PFASs concentrations, indicating that PFOA is the major threat to the safety of shellfish products. The highest level of PFAS was found in clams (62.5?ng?g^?1 wet weight of PFOA). The concentration of total PFAS in different shellfish species showed the following trend: clams?>?mussels?>?scallops?>?whelks?>?oysters. The maximum concentration of total PFAS or PFOA was found in Shouguang. The total concentration of PFOS and its precursor were highest in Cangzhou, possibly due to local industrial activities. The results presented in this paper provide new data on the contamination of marine shellfish along the Bohai Sea coasts in China, and constitute a reference for future monitoring of contamination by emerging contaminants in Bohai coast.     

不同穿越角度对采空区埋地管道力学行为的影响

为解决采空区煤矿工作面逐渐开采引起的埋地管道力学行为变化问题,以实际地质参数为基础,运用有限元软件建立管-土三维有限元模型,模拟水平煤层工作面推进方向与管道走向之间不同夹角以及不同煤层倾角时工作面逐步开采引起的埋地管道力学行为变化,得出在2种情况下埋地管道的力学行为时变性规律。结果表明:水平煤层不同夹角开采时,在开采中后期,随着开采时间的不断增加,大夹角工况下的管道最大应力位移增长速度比小夹角工况快;开采完成后,水平夹角越大管道越危险;不同煤层倾角时,埋地管道最大位移变化随开采时间的增加基本呈线性趋势,且煤层倾角越大,管道的最大位移越小,管道越安全。     

北京市高海拔地区百花山空气质量状况及与市区的差异性研究

对北京市远郊百花山(海拔1300 m)2007—2017年大气常规6项污染物数据进行了分析,并与代表市区的国控站点均值数据进行了比较。研究发现,百花山SO2、CO、PM2.5浓度为国控站点浓度的35.5%~35.7%,NO2、PM 10、O 3浓度分别为国控站点浓度的14.0%、41.5%、185.5%。11年间,百花山6项常规污染物浓度逐年降低。2013—2017年,百花山PM2.5浓度年均降速为11.4%,低于国控站点13.3%的年均改善水平。百花山和国控站点在污染物季节变化趋势上基本一致,秋季颗粒物浓度差异最大,春季差异最小。百花山6项污染物的日变化峰谷比值为1.21~1.44,其差异小于国控站点。各项污染物浓度在18:00出现峰值,认为主要受城区远距离传输影响。2013—2017年,百花山共出现5个PM2.5重污染天,5级以上重污染小时数为442 h,国控站点有2%的重污染小时与百花山同步。     

三维变分在PM2.5重污染数值模拟中的应用研究

为了探讨三维变分法(3DVAR)对成渝城市群冬季PM2.5重污染模拟的改善效果,采用3DVAR对成渝城市群2017年12月至2018年1月的空气质量数值模拟结果进行资料同化,对比评估嵌套网格空气质量预报模式(NAQPMS)原始数据与同化再分析数据的准确率,并分析成渝重污染特征。研究结果显示,3DVAR在PM2.5、PM10和NO2的同化实验中均取得较好的改善效果,成渝地区检验站点各污染物相关系数(r)的平均提升比例依次为44%、90%和332%,r改善的站点占检验站点总数的比例分别为98%、100%和82%;检验站点均方根误差(RMSE)的平均下降比例分别为15%、37%和31%,RMSE改善的站点占检验站点总数的比例为65%、98%和84%。与原始模拟结果相比,同化结果能够更准确地反映成渝地区冬季重污染期间的PM2.5和PM10空间分布特征。     

贵州省石漠化敏感区生态红线空间分异与管控措施研究

贵州省石漠化演变态势遏制了长江、珠江流域的生态安全需要。为响应国家生态环境保护与修复政策,加强长江上游生态保护工作,遏制贵州省生态环境恶化趋势,研究基于遥感和GIS技术,针对贵州省喀斯特石漠化等典型生态环境问题,依据《生态红线划定技术指南》(2015-06)建立敏感性评价指标体系及评价模型,评价贵州省石漠化敏感性现状,划定石漠化敏感区生态保护红线,定量揭示贵州省石漠化敏感区生态红线现状及地域分异,并根据贵州省石漠化治理实际情况,提出具体管控措施。结果表明:(1)2011年贵州省石漠化敏感性以强度敏感性为主,面积达36 227.83 km~2,占全省喀斯特地貌面积的32.23%,总体分布规律呈条带状分布;(2)通过叠加分析得出石漠化敏感区的空间分布与石漠化现状有一定关系,表现为除去无明显石漠化、潜在石漠化、不敏感性、轻度敏感性之外,已石漠化土地与中度以上敏感性所占面积比例变化趋势呈正相关。(3)贵州省石漠化敏感区生态红线面积达6 814.25 km~2,占全省国土面积的3.87%;主要由破碎斑块组成,较集中分布于贵州北部、南部及西部地区,其中遵义市、毕节市以及黔南州面积最大、最集中;(4)石漠化敏感区生态红线的管控措施应实施治理与保护并行,主要以保护为主,同时,加强石漠化敏感区综合治理以及生态保护政策体系建设。