兰州市城区河道表层沉积物地球化学元素分布特征

通过对兰州市河道表层沉积物地球化学元素分析发现,兰州市河道表层沉积物41种地球化学元素富集因子多小于1,Cl、S、P、Bi、Cr、Cu、Pb、Sn、U、W、Zn富集因子值均大于2,显示了较高的污染水平。对单个采样点总富集因子的分析研究发现,R值均大于2,显示出较多的富集。其中水磨沟下游和鱼儿沟下游富集因子出现高值,显示出严重污染。元素来源研究结果显示,兰州市河道表层沉积物地球化学元素的来源可分为3类:①生活污水排放以及雨水对地面或街道的冲刷作用;②工业污染,包括冶金、电镀、农药和化肥等污水的排放;③本地土壤类型灰钙土中元素的贡献。通过粒度与元素相关性分析可知,元素P、Cl主要分布于细颗粒物质中,反映了兰州市河道表层沉积物污染物质在细颗粒中有较大量的富集。     

Seasonal temperatures for the past ∼400 years reconstructed from diatom and chironomid assemblages in a high-altitude lake (Lej da la Tscheppa,Switzerland)

We analysed a 42 cm long sediment record from Lej da la Tscheppa, a high-altitude lake (2,616 m a.s.l.) in the Upper Engadine valley (Switzerland) for subfossil diatoms, chironomids and pollen. The chronology of the top 21 cm of the record was established using ²¹⁰Pb analysis using a constant-rate-of-supply model, and validated with ¹³⁷Cs measurements and the content of spheroidal carbonaceous particles. A tentative chronology for the lower part of the core was obtained through extrapolation of the sedimentation rates in the uppermost part of the record. Pollen assemblages in the record reflect regional changes in forestation and land-use patterns in the Upper Engadine valley and show no evidence of significant local human activity in the lake’s catchment. Diatom assemblages record a distinct increase in planktonic taxa since the early 19th century, suggesting a decrease in the duration of ice-cover. In contrast, chironomid assemblages remained stable during a large part of the record. We applied an established chironomid-based July air temperature transfer function and a newly developed diatom-based spring air temperature transfer function to reconstruct past seasonal air temperature changes at Lej da la Tscheppa. The reconstructions indicate a diatom-inferred warming trend in spring temperatures during the past ca. 400 years, whereas chironomid-inferred summer temperatures suggest a slight cooling trend. These biota-based reconstructions are in good agreement with the centennial-scale temperature trend in an independent reconstruction of regional temperatures in the Upper Engadine region based on instrumental records and documentary proxy evidence from the Alps. Our results suggest that, in high-altitude lakes, independent chironomid- and diatom-based seasonal temperature reconstruction is possible and can be successfully used to track seasonal temperature trends.     

MODELLING LONG‐TERM SUMMER AND WINTER BALANCES AND THE CLIMATE SENSITIVITY OF STORBREEN,NORWAY

Measurements of winter balance (b_w) and summer balance (b_s) have been carried out at Storbreen since 1949. Here we apply a simple mass balance model to study the climate sensitivity and to reconstruct the mass balance series priorto 1949. The model is calibrated and validated with data from an automatic weather station (AWS) operating in the ablation zone of Storbreen since 2001. Regression analysis revealed that b_w was best modelled using precipitation data southwest of the glacier. Results from the model compared well with reported mass balance values for the period 1949–2006, obtained correlations (r) for b_w and b_s varied between 0.83 and 0.87 depending on model set up. Reconstruction of the mass balance series for the period 1924/1925–1948/1949 suggested a cumulative mass deficit of c. 30 m w.e. mainly due to highly negative summer balances, but also lower b_wthan the average for 1949–2006. Calculated change in specific mass balance for a ±1°C change in air temperature was ±0.55 m w.e., whereas a ±10 % increase in precipitation represented a change of ±0.20 m w.e. Model results further indicated that for a 2°C warming, the ablation season will be extended by c. 30 days and that the period of ice melt at the AWS location will increase from c. 40 to c. 80 days.     

Impacts of Climatic Factors on Runoff Coefficients in Source Regions of the Huanghe River

Runoff coefficients of the source regions of the Huanghe River in 1956–2000 were analyzed in this paper. In the 1990s runoff of Tangnaihai Hydrologic Station of the Huanghe River experienced a serious decrease, which had at- tracted considerable attention. Climate changes have important impact on the water resources availability. From the view of water cycling, runoff coefficients are important indexes of water resources in a particular catchment. Kalinin baseflow separation technique was improved based on the characteristics of precipitation and streamflow. After the separation of runoff coefficient (R/P), baseflow coefficient (Br/P) and direct runoff coefficient (Dr/P) were estimated. Statistic analyses were applied to assessing the impact of precipitation and temperature on runoff coefficients (including Dr/P, Br/P and R/P). The results show that in the source regions of the Huanghe River, mean annual baseflow coefficient was higher than mean annual direct runoff coefficient. Annual runoff coefficients were in direct proportion to annual pre- cipitation and in inverse proportion to annual mean temperature. The decrease of runoff coefficients in the 1990s was closely related to the decrease in precipitation and increase in temperature in the same period. Over different sub-basins of the source regions of the Huanghe River, runoff coefficients responded differently to precipitation and temperature. In the area above Jimai Hydrologic Station where annual mean temperature is –3.9oC, temperature is the main factor in- fluencing the runoff coefficients. Runoff coefficients were in inverse relation to temperature, and precipitation had nearly no impact on runoff coefficients. In subbasin between Jimai and Maqu Hydrologic Station Dr/P was mainly affected by precipitation while R/P and Br/P were both significantly influenced by precipitation and temperature. In the area be-tween Maqu and Tangnaihai hydrologic stations all the three runoff coefficients increased with the rising of annual precipitation, while direct runoff coefficient was inversely proportional to temperature. In the source regions of the Huanghe River with the increase of average annual temperature, the impacts of temperature on runoff coefficients be-come insignificant.     

A comprehensive analysis of phenological changes in forest vegetation of the Funiu Mountains,China

Journal of Geographical Sciences - This paper reports the phenological response of forest vegetation to climate change (changes in temperature and precipitation) based on Moderate Resolution...     

变暖背景下陕西极端气候事件变化分析

利用1961-2010年陕西省78个气象观测站的逐日最高温度、最低温度、平均温度以及日降水量资料,采用趋势分析方法对该地区极端气候事件的变化进行了分析。结果表明:①近50 a来陕西降水极端事件没有显著的增减变化趋势,但存在明显的阶段性。②近50 a来区域严重干燥事件在显著增加而严重湿润事件趋于减少,2000年以后严重干湿事件均偏多,区域降水有向不均衡、极端化发展的趋势。③区域年极端高（低）温事件在近50 a来呈现显著的增加（减少）趋势,其空间分布具有较好的一致性。极端温度事件的变化在各季节存在差异,冬、春季变暖的趋势比较显著。在显著变暖的20世纪90年代以后,相对于降水极端事件,温度极端事件显现地更为突出。     

1984—2020年辽宁省极端气温时空变化及粮食产量响应研究

通过选取极端气温指数对1984—2020年辽宁省极端气温时空变化进行分析,结果表明：① 近37 a极端气温指数的时间变化具有一致性,表现为暖指数（年极端高温、暖昼日数、暖夜日数）上升和冷指数（年极端低温、冷昼日数、冷夜日数）下降。受城市化进程影响,突变主要集中在1995—2005年。② 极端气温指数具有空间差异性,具体表现在城镇化水平高的城市极端气温差值变化较小,沿海地区相对指数变化幅度相对较小。③ 结合辽宁省粮食与气象灾害数据,得出1984—2020年粮食实际产量与趋势产量呈波动上升变化。相对产量与气象产量波动趋势一致,近37 a气候丰年10个、气候歉年7个,其他为正常年份。气象产量受极端高温、极端低温的影响较大,风雹、冷冻成为影响粮食产量的关键气象灾害。     

1961-2004年乌鲁木齐城市化过程中的冷化效应

利用乌鲁木齐和达坂城1961-2000年月平均气温,2001-2004年月平均最低气温和月平均最高气温资料,分析了乌鲁木齐和达坂城两地平均温Tm、平均最高温Tmax、平均最低温Tmin及其对应值的差值(ΔTu-rm、ΔTu-rmax、ΔTu-rmin)随时间的变化趋势特征。结果表明,乌鲁木齐城市化过程中冷化效应和热岛效应同时存在。近40多年来,乌鲁木齐年Tmm、Tmax有微弱的下降趋势,春季、夏季Tm、Tmax、Tmin和秋季Tm、Tmax均呈下降趋势,以夏季最为显著,而冬季Tm、Tmax、Tmin呈上升趋势;乌鲁木齐和达坂城之间年、春季、夏季和秋季ΔTu-rm、ΔTu-rmax、ΔTu-rmin均呈显著的下降趋势,冬季气温差值显著上升。降水量的增加、城市绿化和城市灌溉面积的增大,可能对乌鲁木齐城市化过程中的气候冷化产生了影响。     

Surface sediment Chironomidae (Insecta: Diptera) distributions along an ecotonal transect in subarctic Fennoscandia: developing a tool for palaeotemperature reconstructions

We used multivariate statistical techniques to analyse the distributions of surface sediment chironomid assemblages with respect to surface-water temperature, and an additional set of 27 environmental variables, in 30 freshwater lakes of northern Fennoscandia. Our study transect spans boreal coniferous forest to subarctic tundra and includes a steep temperature gradient. Canonical correspondence analysis (CCA) with forward selection and associated Monte Carlo permutation tests revealed that there were statistically significant (P<0.05) relationships between chironomid distributions and two environmental variables, namely lakewater temperature and maximum lake depth. A constrained CCA with temperature as the only predictor variable suggested that the relationship between lakewater temperature and chironomid composition was sufficiently robust for developing a weighted-averaging (WA) based quantitative inference model that will allow palaeotemperature reconstructions using subfossil chironomid remains preserved in lake sediments.