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.     

GM4型磁通门磁力仪性能检验方法

目前,磁通门磁力仪广泛应用于观测地球磁场相对变化的仪器。相对于应用,仪器的性能测试不为人们所熟悉。本文针对GM4型磁通门磁力仪的噪声特性,频率特性,线性度,温度特性等关键性能指标的测试依据、测试方法及流程给予详细的阐述。     

中国乡村旅游重点村的空间特征与影响因素

乡村旅游重点村是推进乡村旅游高质量发展的典型示范,对优化乡村旅游供给、引领乡村旅游发展具有重要意义。本文运用最邻近指数、核密度估计等方法分析了中国1000个乡村旅游重点村的空间分布格局和结构特征,揭示了乡村旅游重点村的空间分异规律。运用多元线性回归、矢量缓冲分析、地理探测器等方法剖析了影响乡村旅游重点村空间分布的主要因素。研究发现：① 乡村旅游重点村总体呈“东多西少”的空间分布格局。省际空间密度分层特征明显,“双核心—环核群—带状区”的空间分布规律突出。② 乡村旅游重点村的空间分布具有显著的空间正相关性,地域间呈冷点分散、热点集中的空间分异格局。③ 6类乡村旅游重点村的核密度呈一高五低、分异鲜明的类型特征。④ 乡村旅游重点村空间分布格局的形成是自然生态、社会经济、交通配套、景区资源、政策环境五大因素共同影响的结果。人均GDP和居民消费支出具有显著正向影响,客源市场距离及交通通达距离是负向影响因素。⑤ 各类乡村旅游重点村空间分布的驱动因素各异,与村落资源禀赋和发展特点具有密切关系。     

青藏高原强降水日数的时空分布特征

 根据青海和西藏48个气象台站近48 a（1961-2008年）的逐日降水和气温资料,分别以日降水量超过5 mm和25 mm作为冬半年（11月～翌年3月）和夏半年（5～9月）强降水的临界值,分析了青藏高原冬、夏半年强降水日数的时空分布特征。结果表明：（1）高原强降水日数与总降水量的空间分布型非常相似,夏半年均表现为由东南向西北递减,而冬半年则为由高原腹地向四周递减。（2）夏（冬）半年强降水主要集中在7月上旬～8月中旬（11月上旬和3月中下旬）。（3）夏（冬）半年强降水存在准6 a（5～6 a）的年际振荡以及准10～11 a（15 a）的年代际振荡。（4）强降水日数变化趋势的空间差异较大,夏半年高原北（南）部强降水日数普遍以增加（减少）趋势为主,而冬半年除雅鲁藏布江流域呈减少趋势外,高原大多数地区均表现出显著增加趋势。     

Mean slope-angle frequency distribution and size frequency distribution of landslide masses in Higashikubiki area, Japan

Landslide mass size frequency distributions and mean slope-angle frequency distributions were calculated for slump, slide, and creep type landslides in the Higashikubiki area. Mean slope-angle frequency distributions closely approximated Weibull distributions. Size frequency distributions show power-law dependencies. Both can be explained by modeling landslides as linked uniform blocks in tensile force. Power coefficients for size frequency distributions were 2.01–2.32 (approximation to power functions) or 2.10–2.24 (approximation to Pareto distributions).     

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.     

松辽盆地太东斜坡区葡萄花油层油水分布规律及主控因素

太东斜坡区为松辽盆地大庆长垣向三肇凹陷倾没的单倾斜坡.利用岩心、测井和地震等资料,研究葡萄花油层油藏类型和油水分布规律.结果表明:斜坡区油平面受4条近南北向"断层带"分割,具有东西分带特征,且受源外油源供给不足和油东西向运移影响,自东向西单一"断阶带"含油性逐级变差;油垂向分布受沉积演化和优势输导通道控制表现为"双峰"特征,主要分布在葡萄花油层中部;油藏类型主要为东南倾斜坡背景下的近南北向断层与北西向河道砂体匹配形成的断层—岩性油藏.在油水分布规律研究的基础上,结合单一圈闭内断层与单砂体匹配样式,提出源外斜坡区油聚集机制受构造部位、优质储层、断层封闭性和断层与砂体匹配样式控制,即单一"断阶带"高点控制油气聚集部位;浅水三角洲水下分流河道和河控席状砂构成油气优质储层;断层侧向封闭性影响油气垂向富集高度和平面"互补"特征;断层与单砂体匹配样式决定油气富集层位.     

制造业内部产业关联与空间分布关系的实证研究

聚焦于中国制造业内部的产业关联与空间分布,基于《中国投入产出表》中涉及的17个制造业细分行业和中国286个地级市空间单元的统计数据,研究与某一制造业细分行业具有较强产业关联的其他制造业细分行业与其空间分布之间是否存在相关性,并进一步分析产业关联强且具有空间关联的产业组合的主要特征。研究表明,在68个产业关联较强的产业组合中,有39个产业组合具有空间关联;产业关联较强的劳动/劳动密集型制造业和资本/技术密集型制造业更容易呈现空间关联;超过半数的制造业细分行业的产业关联和空间关联的程度之间存在正相关。此外,在产业特征分析基础上,利用GWR模型对39个产业关联强且具有空间关联的产业组合的空间关联度在空间分布上的特征和差异进行分析。结果显示,产业组合的空间关联度较高区域多分布在中等发展水平省区,而在经济发达或欠发达省区分布较少;东北三省区空间关联度较高的产业组合基本一致,产业发展情况较为相似。     

基于边界替代的人口数据空间化方法研究

首先将山东省各县市按级别分类,利用回归方法得到不同级别县市的城镇居住密度与农村居住密度,然后根据乡镇驻地位置,构造Voronoi图来替代乡镇边界。在此基础上利用各乡镇人口数据与居民点数据计算得到各 Voronoi图形的居住密度,并将该密度赋予每个图形的发生点(即乡镇驻地位置),而后利用反距离插值算法,并结合窗口移动平均处理,得到全省的居住密度分布图。使用居住密度分布图和居民点分布数据,计算人口分布数据。并根据每个县市的图上汇总人口和统计人口,计算得到各县市的调整系数,使用该系数对每个栅格的人口数进行调整,保证了各县市总人口不会出现误差。最终得到山东省1km×1km栅格的人口分布数据。最后选取某些样本县, 在样本县内对比每个乡镇图上的人口与实际统计人口,结果表明该人口分布数据有较高的精度。     

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.