东亚制造业生产网络的变化特征研究

本文基于进出口贸易数据和商品门类数据,对2003年以来东亚地区制造业贸易网络及其生产过程进行研究。首先,由进出口贸易网络可知,无论是劳动密集型还是资本（技术）密集型产品,中国的参与程度均高于周边国家;随着各国经济的发展,东南亚国家也逐渐参与生产网络分工,不断加强同周边国家的贸易经济联系。其次,从产品的生产过程来看,早期“三角贸易”的现象较为明显,尤其是技术含量较高的,以汽车制造业为主的陆上交通工具,但是近年来随着周边国家参与度的提升该模式逐渐在削弱。最后,东亚边缘国家对大国的依赖性比较强,特别是资本（技术）密集型产业,同时小范围区域内的联系在不断加强,如泰国、马来西亚等新兴国家。     

格尔木河水质现状及生态风险评估

为了解经济迅速发展背景下格尔木河流域水体中痕量元素分布、水环境质量现状和生态风险,对格尔木河9个采样点水样21种痕量元素的分布及相关性进行了分析,以Cu、Zn、Hg、Cd、Cr和Pb为目标重金属,评估了格尔木河水质现状及生态风险。结果表明:重金属Pb浓度在所有水样中均低于检出限,其它痕量元素浓度在0.001(Cd)～6297.013(Sr)μg·L~(-1)范围变化。根据相关性分析,推测格尔木河水体中Li、Sc、Ti、V、Cu、Ge、Rb、Sr、Mo、Cd来源可能相同。采样点水样6种重金属浓度均达到地表水环境质量I类的标准。采用5种方法评价了格尔木河水质现状,研究区水质处于无污染的理想状态。格尔木河重金属引发的潜在生态风险处于低风险水平(生态风险指数变化范围为0.35～0.68)。     

一种变形监测中中长基线的单历元模糊度解算算法

针对已有单历元模糊度解算算法只适用于短基线的情形,根据误差传播率确定模糊度精度,依据误差确定模糊度搜索空间,提出一种利用GPS双频观测信息实现中长基线下单历元模糊度固定的算法。首先,利用电离层约束法得到双差模糊度之间的线性约束条件;其次,利用变形监测中监测站点坐标近似已知的条件进行约束,反算获得近似模糊度;最后,根据监测站点已有的观测数据精度给出搜索空间,搜索固定模糊度。结果表明,该方法可以实现中长基线下单历元的模糊度固定,对实时变形监测有一定的参考价值。     

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.     

GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine

The loess area in the northern part of Baoji City, Shaanxi Province, China is a region with frequently landslide occurrences. The main aim of this study is to quantitatively predict the extent of landslides using the index of entropy model(IOE), the support vector machine model(SVM) and two hybrid models namely the F-IOE model and the F-SVM model constructed by fractal dimension. First, a total of 179 landslides were identified and landslide inventory map was produced, with 70%(125) of the landslides which was optimized by 10-fold crossvalidation being used for training purpose and the remaining 30%(54) of landslides being used for validation purpose. Subsequently, slope angle, slope aspect, altitude, rainfall, plan curvature, distance to rivers, land use, distance to roads, distance to faults, normalized difference vegetation index(NDVI), lithology, and profile curvature were considered as landslide conditioning factors and all factor layers were resampled to a uniform resolution. Then the information gain ratio of each conditioning factors was evaluated. Next, the fractal dimension for each conditioning factors was calculated and the training dataset was used to build four landslide susceptibility models. In the end, the receiver operating characteristic(ROC) curves and three statistical indexes involving positive predictive rate(PPR), negative predictive rate(NPR) and accuracy(ACC) were applied to validate and compare the performance of these four models. The results showed that the F-SVM model had the highest PPR, NPR, ACC and AUC values for training and validation datasets, respectively, followed by the F-IOE model.Finally, it is concluded that the F-SVM model performed best in all models, the hybrid model built by fractal dimension has advantages than original model, and can provide reference for local landslide prevention and decision making.     

Effects of rainfall intensity and topography on rill development and rill characteristics on loessial hillslopes in China

Rill development is a major soil erosion process that causes severe soil degradation.This study examined the effects of representative rainfall intensities(50 and 75 mm h-1),slope gradients(10°and 150),and slope lengths(7.5 and 10.0 m)on rill development and rill characteristics on loessial hillslopes in China.Loessial soil was collected from the cropland of Ansai Town,Yan'an City,Shaanxi Province.The soil with 28.3%sand,58.1%silt,and13.6%clay was packed into a soil pan to conduct rainfall simulations in 2012.The results showed that the time of the knickpoint occurrence(5-16 min),the rill headcut extension(9-33 min),and the mean headward erosion rate(1.7-5.o cm min-1)were better representative indicators for reflecting the changes in the rill development than other indicators used in this study.For a quick evaluation of the rill erosion severity,the rill coverage ratio(1%-12%,generallyincreasing with an increase in the rainfall intensity)was better than the other indicators for treatments with different rainfall intensities,and the rill width-depth ratio(1.56-2.27,generally decreasing with an increase in the slope gradient)was better than the other indicators for treatments with different slope gradients.Furthermore,the rill inclination angle(8.2°-19.1°,significantly increasing with an increase in the slope length)and rill density(0.19-1.34 m·m-2,generally increasing with an increase in the slope length)were more suitable for evaluating the rill erosion severity on hillslopes with different slope lengths.Therefore,the representative indicators could reflect the differences in the rill development and rill characteristics under different rainfall and topographic situations.The study greatly improved the evaluation of rill erosion severity and the prediction of the development of rills for loessial hillslopes.     

鄂尔多斯盆地西缘羊虎沟组物源区分析

鄂尔多斯盆地西缘羊虎沟组物源特征对天然气勘探尤为重要。通过砂岩的碎屑组分、岩屑组分、重矿物组合以及石英阴极发光等研究,认为研究区羊虎沟组受到北部、西南部、南部物源控制,各个方位物源在研究区中部吴忠—马家滩地区汇合。通过砂岩轻、重矿物组合和碎屑组分的Dickinson三角图解,以及泥岩的稀土元素特征等分析,认为研究区羊虎沟组源岩以大陆上地壳岩石为主。研究区北部砂岩物源区为再旋回造山带物源区,泥岩球粒陨石标准化稀土元素配分模式与阿拉善古陆浅变质岩相似,具有亲缘性;西南部及南部砂岩物源区为稳定陆块区和再旋回造山带物源区,泥岩球粒陨石标准化稀土元素配分模式与祁连—北秦岭造山带中浅变质岩相似。综上所述,研究区北部母岩主要为阿拉善古陆的浅变质岩夹少许火山岩,西南部及南部母岩主要为祁连—北秦岭造山带的中浅变质岩,其次为碳酸盐岩和火山岩。     

Temporal-Spatial Variation of Surface Suspended Matter and Controlling Factors in the Inner Shelf of the East China Sea in Winter

Based on the observed surface suspended matter in the East China Sea in February 2007 and June 2015, an empirical model was established using L1 b's band 4 data to retrieve surface suspended matter from the Moderate Resolution Imagine Spectroradiometer Terra imagery. The squared correlation coefficient is 0.8358, and the root mean square error is 0.4285 mg L-1. The model reflects the distribution characteristics of surface suspended matter in the inner shelf of the East China Sea. In this paper, the satellite images of the study area were retrieved in January from 2001 to 2015, and the monthly distribution of surface suspended matter were obtained. The inter-annual distribution of the study area is similar, and the concentration of surface suspended matter is higher near the shore than offshore. A large amount of surface suspended matter is transported southeast under the influence of Zhejiang and Fujian coastal current and Taiwan warm current. Only a small amount of surface suspension can reach the Kuroshio area. The surface suspended matter concentration changes obviously near the estuary because of the effect of differences in the flux of the Yangtze River. Meanwhile, winter monsoon, temperature front, El Ni?o events, and other factors affect the distribution of surface suspended matter in 100 m isobath to coastal water but minimally influence the distribution in 100 m isobath to deep sea.     

区域可持续发展能力的能值与(火用)耦合分析模型构建

可持续发展能力评价方法是识别人地协同规律、支撑科学决策的重要工具和热点需求。通过文献回顾与理论分析框架构建,耦合能值及?方法,提出自组织能力指数（SO）、生态压力指数（EP）、可持续发展能力指数（SC）构成的,基于热力学理论的可持续发展能力分析模型,利用文献荟萃法筛选17个典型发达国家1985年状态值计算SO与EP阈值,划分了4个阶段。利用中美两国1985-2015年特征对比验证,结果显示：① 2005年以前中国属“低自组织能力、低生态压力”阶段,之后进入“低自组织能力、高生态压力”阶段,存在低生态效率、规模扩张驱动特征;美国一直属“高自组织能力、高生态压力”阶段,存在高生态效率驱动、经济与生态脱钩特征,与全球生态足迹网络和世界自然基金会等的研究结果一致,模型具有较好适应性和可靠性。② 模型利用“获得?量/输入能值量”表达经济社会生态效率、“经济社会?损耗量/生态系统年产?量”表达生态压力,连接了经济社会对生态基底的熵化路径,可识别区域所处可持续发展阶段、分析水平变化和驱动因素。③ 模型以人类与生态并重的视角,从深度上反映经济社会的生态效率、从广度上评价生态空间被占用比例,具有宏观规模与微观效率分析相结合的优势,是对经典方法的补充。