黑河上游山地土壤容重分布特征及影响因素

土壤容重不仅可用作计算土壤持水力和导水性,也是估算土壤养分和碳储量的重要变量。野外测定土壤容重一般费时费力,特别是在地形复杂的山区,因此山地土壤容重在国内外大多数清查数据库中缺失。本文以黑河上游山地为例,基于野外调查的124个土壤剖面,研究了山地土壤容重的空间分布特征及影响因素。结果表明:黑河上游山地0~10 cm和0~60 cm土壤容重分别为0.91±0.02 g·cm^-3 和1.04±0.01 g·cm^-3;不同植被类型下,高山寒漠容重最大,山地森林最小。随着土壤深度的增加,容重呈幂函数递增;随着土壤有机质含量的增加,容重呈指数递减。区域上,黑河上游从西北到东南,容重呈递减趋势,从高海拔到低海拔,容重呈先减小后增大趋势。主成分分析(PCA)和一般线性模型(GLM)表明,与土壤容重相关的环境因子中,海拔是影响土壤表层容重的第一主成分,土壤有机质含量是第二主成分,黏粒含量和大于2.0 mm砾石含量分别为第三、四主成分。第一、二、三、四主成分分别解释土壤容重空间变异的24.00%、29.40%、0.01%、6.20%。     

沟道偏转地形对滑坡碎屑流运动的影响研究

在沟谷地形中,滑坡碎屑流的运动常受到地形的影响,导致其运动方向发生改变,进而影响到滑坡运动速度和堆积特征。本文利用三维离散元素法,对四川都江堰三溪村高速远程滑坡进行模拟,研究滑坡体不同部位的块体失稳后,在沟道偏转地形主导下的滑坡碎屑流前缘的运动速度、各部位滑体的速度变化过程和堆积特征,并提出沟道偏转地形耗能模型分析了地形偏转造成的动能消耗。研究结果显示:滑坡前缘在地形偏转位置运动方向发生变化,导致运动速度突降;由于滑坡不同部位的滑块相对于地形偏转点具有不同的撞击角度,导致其撞击后产生不同的偏转角度,滑块的偏转角度越大,速度变化越大;由沟道偏转地形导致的滑坡运动速度减小反映了偏转地形对滑坡的动能产生的耗散,动能耗散率与cos2θ(θ为偏转地形在水平面上的偏转角度)成反比;不同部位滑块的堆积长度随偏转角度的增大而减小。本研究分析了沟谷地形偏转对滑坡碎屑流运动速度作用机制及不同部位岩土体堆积范围的影响,可为该类地形条件下滑坡的运动机制研究和防灾减灾工作提供参考。     

黑河流域土地利用变化对土壤有机碳和全氮储量的影响——元分析（英文）

Land use and cover change(LUCC) is an important indicator of the human-earth system under climate/environmental change,which also serves as a key impact factor of carbon balance,and a major source/sink of soil carbon cycles.The Heihe River Basin(HRB) is known as a typical ecologically fragile area in the arid/semi-arid regions of northwestern China,which makes it more sensitive to the LUCC.However,its sensitivity varies in a broad range of controlling factors,such as soil layers,LUCCs and calculation methods(e.g.the fixed depth method,FD,and the equivalent mass method,ESM).In this study,we performed a meta-analysis to assess the response of soil organic carbon(SOC) and total nitrogen(TN) storage to the LUCC as well as method bias based on 383 sets of SOC data and 148 sets of TN data from the HRB.We first evaluated the calculation methods and found that based on the FD method,the LUCC caused SOC and TN storage to decrease by 17.39% and 14.27%,respectively;while the losses estimated using the ESM method were 19.31% and 18.52%,respectively.The deviations between two methods were mainly due to the fact that the FD method ignores the heterogeneity of soil bulk density(BD),which may underestimate the results subsequently.We then analyzed the response of SOC and TN storage to various types of the LUCC.In particular,when woodland and grassland were converted into cultivated land or other land types,SOC and TN suffered from heavy losses,while other LUCCs had minor influences.Finally,we showed that increasing the depth of the soil layers would reduce the losses of SOC and TN storage.In summary,we identified a series of controlling factors(e.g.soil layer,the LUCC and calculation method) to evaluate the impact of the LUCC on SOC and TN storage in the HRB,which should be considered in future research.     

The spatial local accuracy of land cover datasets over the Qiangtang Plateau,High Asia

We analyzed the spatial local accuracy of land cover (LC) datasets for the Qiangtang Plateau, High Asia, incorporating 923 field sampling points and seven LC compilations including the International Geosphere Biosphere Programme Data and Information System (IGBPDIS), Global Land cover mapping at 30 m resolution (GlobeLand30), MODIS Land Cover Type product (MCD12Q1), Climate Change Initiative Land Cover (CCI-LC), Global Land Cover 2000 (GLC2000), University of Maryland (UMD), and GlobCover 2009 (Glob-Cover). We initially compared resultant similarities and differences in both area and spatial patterns and analyzed inherent relationships with data sources. We then applied a geographically weighted regression (GWR) approach to predict local accuracy variation. The results of this study reveal that distinct differences, even inverse time series trends, in LC data between CCI-LC and MCD12Q1 were present between 2001 and 2015, with the exception of category areal discordance between the seven datasets. We also show a series of evident discrepancies amongst the LC datasets sampled here in terms of spatial patterns, that is, high spatial congruence is mainly seen in the homogeneous southeastern region of the study area while a low degree of spatial congruence is widely distributed across heterogeneous northwestern and northeastern regions. The overall combined spatial accuracy of the seven LC datasets considered here is less than 70%, and the GlobeLand30 and CCI-LC datasets exhibit higher local accuracy than their counterparts, yielding maximum overall accuracy (OA) values of 77.39% and 61.43%, respectively. Finally, 5.63% of this area is characterized by both high assessment and accuracy (HH) values, mainly located in central and eastern regions of the Qiangtang Plateau, while most low accuracy regions are found in northern, northeastern, and western regions.

     

Does geographic distance have a significant impact on enterprise financing costs?

Journal of Geographical Sciences - As information technology has been applied more broadly and transportation infrastructure has improved, persistent debate has existed as to the question of...     

基于傅里叶级数的中国沿海地区Tm模型精化研究

本文采用中国沿海地区13个探空站2010~2014年实测地表温度T_s与平均温度T_m数据,利用傅里叶级数分析法精化中国沿海地区T_m模型,并将2015年探空站实测T_m数据与精化模型进行对比检验。结果表明,精化模型在T_m探测方面具有更高的计算精度,其计算大气可降水量的误差概率分布趋近于正态分布,具有较强的稳定性。     

CG-6型重力仪零漂特性研究

对中国地震局地震研究所最新引进的4台CG-6型相对重力仪的零漂特性进行测试研究,结果表明,4台重力仪的静态零漂率、混合零漂率和动态零漂率均小于8 μGal/h,满足厂家给出的技术指标。在较长观测时间内,各台仪器的零漂均存在不同程度的非线性特征,因此在进行较长时间的野外观测以及后续数据处理中,不宜将零漂率作为常数进行解算和零漂改正。     

Case Study of Fog Predictability for an Event with Cold-Front Synoptic Pattern

Fog has recently become a frequent high-impact weather phenomenon along the coastal regions of North China. Accurate fog forecasting remains challenging due to limited understanding of the predictability and mechanism of fog formation associated with synoptic-scale circulation. One frequent synoptic pattern of fog formation in this area is associated with cold front passage(cold-front synoptic pattern, CFSP). This paper explored the predictability of a typical CFSP fog event from the perspective of analyzing key characteristics of synoptic-scale circulation determining fog forecasting performance and the possible mechanism. The event was ensemble forecasted with the Weather Research and Forecasting model. Two groups of ensemble members with good and bad forecasting performance were selected and composited. Results showed that the predictability of this case was largely determined by the simulated strengths of the cold-front circulation(i.e., trough and ridge and the associated surface high). The bad-performing members tended to have a weaker ridge behind a stronger trough, and associated higher pressure over land and a weaker surface high over the sea, leading to an adverse impact on strength and direction of steering flows that inhibit warm moist advection and enhance cold dry advection transported to the focus region. Associated with this cold dry advection, adverse synoptic conditions of stratification and moisture for fog formation were produced, consequently causing failure of fog forecasting in the focus region. This study highlights the importance of accurate synoptic-scale information for improved CFSP fog forecasting, and enhances understanding of fog predictability from perspective of synoptic-scale circulation.     

The difference in pollen harvest between Apis mellifera and Apis cerana in a Tibetan alpine meadow

To explore the difference in pollen harvest between the western honey bee Apis mellifera and a native eastern honey bee A. cerana in the Zoige alpine meadows in the northeastern part of the QinghaiTibetan Plateau, we investigated species diversity of the harvested pollen and the amount of harvested pollen per bee for both species, and calculated the niche overlap(in terms of similarity in harvested pollen) between the two bee species during the flowering season from June to August 2016. Results showed that the species diversity of the harvested pollen was indistinguishable between the two bee species. Nevertheless, A. mellifera carried more(although not significant) pollens per bee than A.cerana. Moreover, pollen composition differed between the two bee species: A. mellifera mainly foraged on Anemone rivularis, Saussurea nigrescens and Anemone trullifolia, while A. cerana foraged on Anemone rivularis, Stellera chamaejasme, and Pedicularis longiflora. Consistently, the niche overlap between the two honeybee species was particularly small in several observations. Our results indicate a niche separation in pollen resource between the two honeybee species in a Tibetan alpine meadow.     

Detecting and attributing vegetation changes in Taihang Mountain,China

Attributing vegetation changes provide fundamental information for ecosystem management,especially in mountainous areas which has vulnerable ecosystems. Based on the Normalized Difference Vegetation Index(NDVI) data, the spatial-temporal change of vegetation was detected in Taihang Mountain(THM) from 2000 to 2014. The topographical factors were introduced to interpret the response of vegetation variation to climate change and human activities. Results showed that the avegaged NDVI during growing season showed a single-peak curve distribution, with the largest value(0.628) among 1600-1800 m. A significant greening trend was detected in THM, with the largest increasing rate(0.0078 yr~(-1)) among the elevation of1600-1800 m and slope gradient between 3~5°. The partial correlation and multiple correlation analyses indicated that vegetation variation in more than81.8% pixels of the THM was mainly impacted by human activities. In the low elevation zones less than1000 m, increasing precipitation is the principle factor promoting vegetation restoration, whereas in the high elevation zones of THM, temperature is the restricted factors impacting vegetation variation.Considering the dramatic climate change in the future,further studies should be conducted to explore inherent mechanism of vegetation growth to dynamic environment changes.