亚热带马尼拉草坪生态系统呼吸昼夜变化研究初报     

张静  杨玉盛  曾宏达  陈光水  刘乐中  李熙波  杜紫贤 《福建地理》2008,(1):31-38

采用Li-8100对亚热带马尼拉草坪生态系统呼吸及其分室昼夜动态进行研究,结果表明,草坪生态系统呼吸、土壤呼吸和植物地上部分呼吸速率的昼夜变化均表现为单峰曲线,呼吸速率日最高值出现在中午13：00～14：00;草坪生态系统的呼吸速率最低值只出现在6月的7：00左右,其他月份的最低值出现在23：00～2：00;土壤呼吸速率的最低值出现在4月和6月的7：00左右,8月则在2：00达最低值,11月土壤呼吸速率波动不大,极值不太明显．生态系统呼吸速率始终表现为白天高于夜间．4月、6月、8月和11月生态系统呼吸的日排放C量分别为27．30、43．94、44．79和25．18g m^2d^-1．6月、8月和11月土壤日呼吸量占整个生态系统日呼吸总量的比例大约为50％,远小于4月的74％．除11月外,生态系统、土壤总呼吸速率的昼夜变化均与5cm土温呈显著的指数相关．草坪生态系统呼吸的Q10值大小顺序为4月〉11月〉6月〉8月,土壤总呼吸的Q10值大小顺序为6月〉4月〉8月〉11月;除11月外,土壤呼吸的Q10值大于生态系统呼吸．  相似文献   

Elements’ Geochemical Characteristics of PM10 and PM2.5 in Beijing During Winter and Spring     

Wang Di  Feng Haiyan  Jing Huimin 《地球科学进展》2017,32(8):850-858

From 2012 to 2013, heavy haze frequently hit Beijing in spring and winter. The fine atmospheric particulates can be inhaled by people, and remain in the respiratory tract and lung for quite a long time. The heavy metal elements in the particles are harmful, and even carcinogenic to human bodies. Therefore, it is necessary to master the geochemical characteristics and the temporal and spatial distribution of the heavy metal elements in atmospheric particles. The atmospheric particulates (TSP/PM₁₀/PM_2.5) were collected by using TH1500C intelligent medium volume (80~120 L/min) air samplers in the five functional areas and suburbs of Beijing, respectively in January 2013 (heating period) and April 2013 (non-heating period). The five functional areas were: building materials factory area, residential area, education area, business area and recreation area, each functional area having three sampling sites, and five in suburbs. The sampling height was 1.5 m above the ground and the distance of the sampling sites to roads exceeded 50 m so as to avoid excessive impact of vehicle exhaust emissions. These samples were analyzed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS), Inductively Coupled Plasma Optical Emission Spectrometer(ICP-OES)and Atomic Fluorescence Spectrometer (AFS), by which 21 elements including Al, Fe, Mn, As, Hg, Cd, Cr were tested. Based on the comparisons of the concentration and element content variation of atmospheric particulates of these functional areas in and after the heating period, the spatial distribution of atmospheric particulates and the influence of coal combustion on the concentration and composition of atmospheric particulates were revealed. The elements sources of atmospheric particulates were also discussed by computing the enrichment factor of the elements, providing a scientific basis for the air contaminant treatment in Beijing. The results showed that the total concentration of the 21 elements of PM₁₀ and PM_2.5 in the functional areas of Beijing in winter was higher than that in spring, the most marked among them being the business area. In winter, the concentration of pollution elements in the building materials factory area and the business area in Beijing was extremely high, and the residential area, education area, recreation area and suburbs where people live were much better, among which the education area was the best. The concentration change of particulates in suburbs was quite smaller in winter and spring than that of the urban area. It also showed that the concentrations of Cd, Cr, As and Hg in PM₁₀ increased by 233%,306%,298%,141%,respectively and the increase in PM_2.5 was 442%、309%、310%、256%, respectively. These abovementioned elements show a tendency to accumulate mainly in PM_2.5 whose concentrations in winter were significantly higher than those in spring. It indicates that coal heating during winter makes great contributions to the polluting elements in atmosphere and the main polluting particulates are Cd, As and Hg.  相似文献   

沙尘事件对兰州河谷大气环境PM10的影响   总被引：1，自引：0，他引：1  

贾晓鹏  陈开锋 《中国沙漠》2011,31(6):1573-1578

利用1999—2001年兰州河谷大气中空气污染物的监测数据,结合河西地区沙尘事件频次,分析了兰州河谷大气环境PM10含量的季节变化特征及其成因。结果表明,源于河西地区的沙尘暴对兰州市空气中PM10含量有重要影响,PM10浓度在冬春季较高,在夏季较低。1985—2001年16 a来河西走廊中东部沙尘事件年均约为37.6 d,兰州河谷年均沙尘事件约为24.4 d,两者表现出显著的相关性（R=0.67,P=0.003）。2001年兰州河谷1 h平均沙尘PM10浓度统计分析显示:PM10含量大于1.0 mg·m-3 的峰值,主要由河西地区沙尘暴过程引起,而PM10含量0.5~1.0 mg·m-3之间的峰值,主要由工业污染物SO2、NOx及颗粒物的排放引起。要长期有效地改善兰州市大气环境质量,不仅要科学地制定本地污染物的减排措施,还要考虑周围地区生态环境的建设。  相似文献   

塔克拉玛干沙漠腹地大气气溶胶散射特征研究   总被引：10，自引：4，他引：6  

陆辉  魏文寿  刘明哲  高卫东  王敏仲 《中国沙漠》2010,30(3):660-667

利用沙漠腹地塔中气象站积分浊度计的2004年观测资料,结合同期PM10质量浓度、能见度和常规气象资料,分析了塔克拉玛干沙漠腹地气溶胶散射系数的变化特征,以及气溶胶散射系数与PM10质量浓度、能见度的关系。研究表明,2004年塔中气溶胶散射系数、PM10质量浓度、能见度日平均值分别为124.74±187.30 Mm-1,538.9±841.7 μg·m-3,12 748±7 274 m。塔中气溶胶散射系数小时平均值出现频率最高的区间主要在100 Mm-1以下,中午气溶胶散射系数小,早晚气溶胶散射系数大;冬春两季的凌晨空气中含有较多的粒子,气溶胶散射系数较大;气溶胶散射系数小时平均值与PM10质量浓度变化规律基本一致,2004年1—6月的气溶胶质量散射系数平均值为0.37 m2·g-1;散射系数与能见度日平均值非线性相关较好,两者呈负幂函数关系。  相似文献   

Multi-scale variation characteristics of polar vortex at 10 hPa in the Southern Hemisphere     

LiPing Li  JuHui M  PanXing Wang  Dong Guo  MingKen Duan  ShuXuan Guan 《寒旱区科学》2010,2(1):0073-0081

By use of 1948-2007 NCEP/NCAR reanalysis monthly geopotential data, a set of circulation indices are defined to characterize the polar vortex at 10 hPa in the Southern Hemisphere, including area-(S), intensity-(P) and centre position-(λc , φc) indices. Sea-sonal variation, interannual anomalies and their possible causes of 10 hPa polar vortex in the Southern Hemisphere are analyzed by using these indices, the relationship between 10 hPa polar vortex strength and the Antarctic Oscillation are analyzed as well. The results show that: (1) the polar region at 10 hPa in the Southern Hemisphere is controlled by anticyclone (cyclone) from Dec. to Jan. (from Mar. to Oct.), Feb. and Nov. are circulation transition seasons. (2) Intensity index (P) and area index (S) of anticy-clone (cyclone) in Jan. (Jul.) show a significant spike in the late 1970s, the anticyclone (cyclone) enhances (weakens) from ex-tremely weak (strong) oscillation to near the climatic mean before a spike, anticyclone tends to the mean state from very strong oscillation and cyclone oscillates in the weaker state after the spike. (3) There is significant interdecadal change for the anticyclone center in Jan., while markedly interannual variation for cyclone center in July. (4) The ozone anomalies can cause the interannual anomaly of the polar anticyclone at 10 hPa in the Southern Hemisphere in Jan. (positive correlation between them), but it is not related to the polar cyclone anomalies. (5) There is notable negative correlation between the polar vortex intensity index P and the Antarctic Oscillation index (AAOI), thus AAOI can be represented by P.  相似文献   

北京市大气PM2.5中多溴联苯醚污染水平与来源分析   总被引：1，自引：1，他引：0  

杨雪  刘大锰  孙俊玲 《现代地质》2010,24(2):355-361

2008年1月、9月和10月在北京城区5个采样点共采集9个大气颗粒物PM_2.5样品。遵循US EPA-1614方法,采用同位素稀释、高分辨气相色谱/高分辨质谱(HRGC/MS)联用技术,测定了大气颗粒物PM_2.5样品中14种多溴联苯醚(PBDEs)的质量浓度,研究了北京市城区大气颗粒物PM_2.5中多溴联苯醚的污染水平、分布特征及来源。结果表明: 9个大气颗粒物PM_2.5样品中PBDEs的质量浓度范围为2.82~57.94 pg/m³,平均值为15.67 pg/m³,BDE-209的质量浓度为0.34~7.32 pg/m³,PM_2.5样品中PBDEs的质量浓度冬季高于秋季;高溴代联苯醚在颗粒物中的含量高,低溴代联苯醚的含量低;交通源对大气颗粒物PM_2.5中PBDEs的污染贡献值很小,工业污染源贡献大于交通源,从含有溴代阻燃剂的物品释放到大气中的PBDEs对大气颗粒物PM_2.5中PBDEs的污染贡献值最大。  相似文献   

用GPS观测资料解算地球自转参数的方法及影响因素分析     

王新静  袁运斌  潭冰峰  宋敏  刘腾 《大地测量与地球动力学》2016,36(10):902-906

研究利用GPS观测资料解算ERP参数的方法。首先,利用全球近100个均匀分布、站址稳定的IGS测站的GPS观测数据解算地球自转参数,并将其与IGS相应产品进行比较,结果显示该解算方案可靠。其次,从实验数据和数理表示方面分析ERP参数解算过程中的轨道约束方案、先验ERP信息、站坐标数量对解算精度的影响,给出一些提高ERP参数解算精度的建议：对ECOM光压模型9参数中径、法向（D、Y）4个周期项采取相对宽松约束、随机脉冲参数采取紧约束,解算效果更佳;降低ERP先验信息对解算精度的影响,重点在于提高UT1-UTC的预报值精度;利用100个跟踪站数据解算,可达到解算效率和解算质量均最佳的效果。  相似文献   

2015年2月21日内蒙古风雪沙尘天气特征     

孟雪峰  孙永刚  仲夏  荀学义 《中国沙漠》2016,36(1):239-246

利用高空、地面常规观测资料和NCEP再分析资料,针对2015年2月21日内蒙古中部阴山北麓地区暴风雪转强沙尘暴天气,进行了对比分析。结果表明:该次天气过程受强冷空气影响,由高空蒙古冷涡迅速发展加强产生。地面冷锋形成降雪,锋区风力较大,形成了暴风雪,随后受副冷锋影响,风力明显增强,产生沙尘暴天气。暴风雪与沙尘暴差异表现在:(1)冷涡、冷锋是主要影响系统,但天气系统影响部位不同,暴风雪多发生在锋区及暖区中,沙尘暴多发生在锋区后部的强冷平流控制区中。(2)水汽条件差异明显,暴风雪相对湿度需要大于70%,沙尘暴相对湿度小于30%。(3)大气层结需求不同,暴风雪对不稳定层结要求不高,沙尘暴对不稳定层结和深厚的混合层有较高的要求。(4)暴风雪发生时气温骤降,沙尘暴发生时温度缓慢持续下降。  相似文献   

A grain-size record from Beijing region in Northern China: Late Quaternary paleoclimate oscillation in response to global change   总被引：1，自引：0，他引：1  

Guifang Yang  Zhiliang Ge  Qing Dai  Jie Cheng  Gongming Yin  Lihong Zan  Jingwei Liu 《Frontiers of Earth Science》2009,3(2):164-170

Numerous samples taken from one core at the Beijing plain were utilized to characterize the paleoclimatic configuration of the study area and its possible relation to global control since the last interglaciation. We presented here a detailed grain-size record for the full length of Late Pleistocene, along with the optical simulated luminescence (OSL) dating. Our findings revealed that Late Pleistocene of the study area started approximately at 110 ka B.P. represented by the thick sediments of 31 m in Changping depression. Four sedimentary cycles were outlined in the core during Late Pleistocene, corresponding to marine isotope stage (MIS) 5 to 2. Controlled by regional geology and global climatic setting, eight paleoclimatic periods were identified simultaneously in the study area on the time scale of 10⁴ year, with the warm and moist climate being found at 110 — 96, 92 — 76, 67 — 56, and 28 — 18 ka B.P.. The climatic instabilities on a millennial scale in Late Pleistocene were characterized largely by the occurrence of 6 strong Heinrich events shown by comparatively coarse groups. These variations correlate well with those documented in the GRIP Greenland and in the Northern Atlantic Ocean, though more complex features may exist on the long time scale.  相似文献   

PM10 Source Apportionment in Ahvaz,Iran, Using Positive Matrix Factorization     

Mohammad Hossein Sowlat  Kazem Naddafi  Masud Yunesian  Peter L. Jackson  Saeedeh Lotfi  Abbas Shahsavani 《洁净——土壤、空气、水》2013,41(12):1143-1151

Source apportionment of particulate matter <10 µm in diameter (PM₁₀), having considerable impacts on human health and the environment, is of high priority in air quality management. The present study, therefore, aimed at identifying the potential sources of PM₁₀ in an arid area of Ahvaz located in southwest of Iran. For this purpose, we collected 24‐h PM₁₀ samples by a high volume air sampler. The samples were then analyzed for their elemental (Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, K, Mg, Mn, Na, Ni, Pb, Se, Si, Sn, Sr, Li, Ti, V, Zn, Mo, and Sb) and ionic (NH, Cl^?, NO, and SO) components using inductively coupled plasma optical emission spectrometry and ion chromatography instruments, respectively. Eight factors were identified by positive matrix factorization: crustal dust (41.5%), road dust (5.5%), motor vehicles (11.5%), marine aerosol (8.0%), secondary aerosol (9.5%), metallurgical plants (6.0%), petrochemical industries and fossil fuel combustion (13.0%), and vegetative burning (5.0%). Result of this study suggested that the natural sources contribute most to PM₁₀ particles in the area, followed closely by the anthropogenic sources.  相似文献