中国沿海地区近20年台风灾害风险评价

依据自然灾害系统理论,综合考虑致灾因子和承灾体特征,提出台风灾害风险评价方法。在GIS环境下对中国沿海地区台风灾害危险性、脆弱性和风险进行分析评价。评价结果显示:海南省、上海市和广东省、福建省、浙江省的沿海区域台风灾害危险性较高;北京市、天津市、上海市和江苏省、山东省的大部分地区及广东省、福建省、浙江省、河北省的沿海区域承灾体脆弱性较高;海南省、上海市和广东省、福建省、浙江省的沿海区域台风灾害风险较高;而北京市、天津市以及河北省、辽宁省和山东省的大部分区域台风灾害风险较低。     

国际贸易对地区劳动力技能升级的影响——基于中国大陆地区地级市的数据分析

随着中国人口红利逐渐消失,劳动力技能升级的问题日益突出。已有研究表明,发展中国家融入全球生产网络体系并非必定能够促进劳动力技能的升级。论文以中国大陆地区主要地级市为例,利用2005、2010、2015年的面板数据,试图分析国际贸易对各地区劳动力技能结构变动及技能升级方面的影响。结果表明：出口贸易对地区高技能劳动力就业比重具有抑制作用,表现为出口贸易对劳动力技能降级的影响;而进口贸易所产生的技术扩散效应尚未显现,进出口贸易整体影响并不显著。进一步来看,从区域产业地理格局角度,对外贸易影响了不同技能水平劳动力人群的区域间流动,使得对外贸易对劳动力技能升级的影响效果在不同的区位与城市规模特征间存在显著差异。沿海城市和大城市主要表现为进口贸易显著促进高技能劳动力就业比重进而带来地区劳动力技能升级,相对于内陆地区和小城市而言,出口贸易会带来高技能劳动力就业比重下降,地区劳动力技能呈现降级趋势。     

A 3D multi-threshold,region-growing algorithm for identifying dust storm features from model simulations

Dust storms cause significant damage to health, property, and the environment worldwide every year. To help mitigate the damage, dust forecast models simulate and predict upcoming dust events, providing valuable information to scientists, decision makers, and the public. These simulation outputs are in four-dimensions (i.e., latitude, longitude, elevation, and time) and represent spatially heterogeneous dust storm features and their evolution over space and time. This research investigates and proposes an automatic multi-threshold, region-growing-based algorithm to identify critical dust storm features from 3D dust storm simulations. A multi-threshold scheme is defined for the identification of dust storm features with different dust concentrations. Based on the multi-thresholds, dust storm features are iteratively identified by developing a region-growing algorithm that splits a clustered dust storm feature into multiple sub-features. The proposed approach is compared with three commonly used methods in image processing and thunderstorm identification. The proposed approach outperforms the other three methods in sensitivity and quantitative/qualitative accuracy. This research approach may also be slightly adjusted to identify critical 3D features from simulation outputs for other severe weather and geographical phenomena.     

中尺度流域土地利用/土地覆盖变化评估--以伊洛河中部地区为例

将规范分析与实证分析相结合，提出了一个评估区域各点位土地利用／土地覆盖变化的新方法：（1）采用相对原则观察一时段内的变化方向；（2）物理模型与统计模型相结合，基于区域实际情况建立生境适宜性参照基准；（3）用多变量分析方法量度各点位与参照基准的差异。结合GIS和遥感技术，这种方法被应用于伊洛河中部地区的研究中。     

中国城市居民的家庭代际分/合居行为及其影响要素——以成都市为例

1978年以来,中国家庭小型化趋向非常显著,尤以代际分居为核心诱因,代际分居对转型期中国的社会稳定、家庭和睦乃至住房市场都构成了很大的影响。而且,中国的代际分居现象及其机制和西方社会存在根本的不同,此文讨论了转型期基于代际分居率和家庭生命周期的中国城市居民分/合居行为的概念模型,随后选择成都市主城区进行了实证,因为该地区不但社会经济发展速度快,户籍居民的老龄化趋向明显,而且兼受中国传统文化和西方文化的耦合影响。与西方发达社会基于家庭生命周期先合居、后分居的规律不同,中国城市居民家庭居住行为呈现出合居—（小）分居—合居—分居—（小）合居—（小）分居—（小）合居的变化过程。采用2012-2013年的实地调研数据,采用Pearson相关性分析法提取主要影响因素,后采用二元logistic 回归方法研究了主要因素对居民分/合居行为的显著性和正负影响,并对不同年龄段的城市居民家庭代际分/合居行为的代际分/合居选择及其影响因素进行了分析。结论如下：① 文化程度、配偶健在、家庭人均收入、父母应帮子女成家、父母应帮子女买房、与子女/父母代际分居意愿、作息习惯、饮食习惯、安静/热闹偏好、卫生习惯、居家习惯和私密空间习惯与家庭代际分居率正向显著;② 年龄、家庭居住面积、父母应帮忙抚养孙辈、（子女）应该养老、父母/子女应临近居住、养儿防老、养育习惯等变量与家庭代际分居率负向显著;③ 不同年龄段居民的代际分/合居选择的影响因素及其显著度有所差异。     

Protecting Important Agricultural Heritage Systems (IAHS) by Industrial Integration Development (IID): Practices from China

With Globally Important Agricultural Heritage Systems (GIAHS) increasing in number around the world, their conservation has become a new international research theme. From the perspective of combining theoretical analyses and practical case applications, this study examines the Important Agricultural Heritage Systems (IAHS) conservation pathways and operation mechanisms through industrial integration development (IID). First, the theoretical framework of IID in IAHS sites was constructed according to the requirements of IAHS conservation, which include analyses of the connotation and basic principles of IID, the necessity of IID for IAHS sites, the resource conditions, and the IID pathways. And then based on the theoretical framework, the IID of Longji Terraces in Guangxi, Honghe Hani Rice Terraces System in Yunnan (HHRTS), Aohan Dryland Farming System in Inner Mongolia (ADFS), and Huzhou Mulberry-dyke & Fish-pond System (HMFS) in Zhejiang are analyzed systematically. The main finding is that IID is an effective pathway for IAHS conservation. However, the IID in IAHS sites must stress the ecological and cultural values of the resources; IID should be based on local resource advantages; and IID should attach importance to the combination of different policies and coordination between different stakeholders.     

Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited

The famous ’Hu Line’, proposed by Hu Huanyong in 1935, divided China into two regions(southeast and northwest) of comparable area size but drastically different in population. However, the classic Hu Line was derived manually in absence of reliable census data and computational technologies of modern days. It has been subject to criticism of lack of scientific rigor and accuracy. This research uses a GIS-automated regionalization method, termed REDCAP(Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning), to reconstruct the demarcation line based on the 2010 county-level census data in China. The results show that the logarithmic transformation of population density is a better measure of attributive homogeneity in derived regions than density itself, and produces two regions of nearly identical area size and greater contrast in population. Specifically, the revised Hu Line by Hu Huanyong in 1990 had the southeast region with 94.4% of total population and 42.9% of total land, and our delineation line yields a southeast region with 97.4% population and 50.8% land. Therefore, the population density ratio of the two regions is 27.1 by our line, much higher than the ratio of 22.4 by the Hu Line, and thus outperforms the Hu Line in deriving regions of maximum density contrast with comparable area size. Furthermore, more regions are delineated to further advance our understanding of population distribution disparity in China.     

Precipitation patterns in flood season over China associated with the El Niño/Southern Osciliation

The precipitation patterns in flood season over China associated with the El Niño/Southern Oscillation (ENSO) are investigated, especially in the eastern China, using the rather long period rainfall data in this century. The results show that there were remarkable differences between the precipitation patterns in flood seasons of ENSO warm phase (El Niño year) and cold phase (La Niña year), as well as between the patterns in El Niño years and their following years. The most parts of China received below normal rainfall in flood season of the onset years of El Niño events, but the coastal area of Southeast China received above normal amounts. Comparatively, the most parts of China received above normal rainfall in flood season of the following years of El Niño events, but the eastern part of the reaches among the Huanghe (Yellow) River, the Huaihe River and the Haihe River, and the Northeast China received less. During ENSO cold phase, the reaches of the Changjiang (Yangtze) River and the North China received more amounts than normal rainfall in flood season of the onset years of La Niña events, and the other regions of China received less. In the following years of La Niña events, the coastal area of the Southeast China, the most part of the Northeast China and the regions between the Huanghe River and the Huaihe River received more precipitation during flood seasons, but the other parts received below normal precipitation.     

地层证据--对大别造山带汇聚历史的制约

大别造山带的汇聚演化历史一直存在不同的认识,来自扬子陆块和华北陆块显生宙以来的地层记录以及北淮阳地区的地层记录可能为两个陆块的汇聚模式提供制约。通过对扬子陆块与华北陆块显生宙以来岩相古地理进行比较,其中3个阶段相似, 2个阶段差别很大。以浊积岩发育作为俯冲阶段的标志,磨拉石建造出现作为闭合的标志,显生宙以来,大别造山带曾经历了两次俯冲和两次汇聚,俯冲时间分别是晚奥陶世—早志留世和早三叠世,汇聚的时间分别为中 晚泥盆世和中三叠世,早期的汇聚具有软碰撞特征,以上认知得到了北淮阳地区地层、古生物和沉积记录的支持,同时也与大别山造山带榴辉岩的同位素年龄数据基本吻合。高压 超高压变质岩在晚三叠世处于快速折返阶段,早侏罗世以前到达地表,其平均折返隆升速率为39～66mm/a。     

20世纪中国气候变化研究

Studies on the 20th century climate change in China have revealed that under the background of global warming over the past century,climate in China has also experienced significant change with mean annual temperature increased by about 0.5 °C.More reliable results for the latter part of the 20th century indicate that the largest warming occurred in Northwest China,North China and Northeast China,and the warming in winter is most significant.Although no obvious increase or decrease trends were detected for mean precipitation over China in the past half century,regional differences are very distinct.In the middle and lower reaches of the Yangtze River,precipitation increased,while that in the Yellow River Basin markedly decreased.Studies suggest that climate change in China seems to be related not only with the internal factors such as ENSO,PDO,and the others,but also with the anthropogenic effects such as greenhouse gas emissions,and land use.The future climate change studies in China seem to be important in narrowing understanding the nature of China's climate change and its main causes,since it is significant for projection and for impact assessment of climate change in the future.