北秦岭丹凤地区产铀花岗岩稀土元素地球化学特征

针对北秦岭丹凤地区产铀花岗岩的区域地层、赋矿围岩、蚀变岩和铀矿石进行稀土元素地球化学研究,结果表明:各类样品具有大体类似的LREE富集及Eu负异常的稀土配分模式,表明它们之间稀土元素特征具有继承性;赋矿黑云母二长花岗岩与区域地层(丹凤岩群变质基性火山岩)稀土元素特征指示,二者均形成于岛弧环境;蚀变花岗岩和铀矿石主要继承了赋矿花岗岩的特征。各类样品Y/Ho值变化范围狭窄,为25.09~33.46,显示它们具有共同的源区。铀矿石具有最高的w_B(∑HREE),且与铀矿石的品位存在正相关关系,暗示HREE与铀的迁移具有同步性。     

一次春季强寒潮的降水相态变化分析

应用NCEP 1°×1°资料、常规观测资料、自动站资料、多普勒天气雷达资料,对2007年3月河北省一次早春强寒潮天气背景下的降水多相态转换的成因与雨雪转换的预报进行了分析.结果表明:850hPa及以下蒙古高压和江淮气旋共同作用产生的偏东风导致低层大气温度持续下降,降水性质从雨转为雪.随着江淮气旋入海,高低空风向发生突变,从东北风转为西北风,加上太行山地形作用,使太行山东麓部分地区低层大气出现小幅升温,0℃层高度抬升,致使从雪转为雨.多普勒天气雷达回波图上,0℃层亮带高度的迅速下降,可作为从液态降水向固态降水转换的判据之一.天气学分析表明,当0℃层高度低于950hPa、地面气温在0℃上下、1000hPa温度低于2℃、925hPa温度低于-2℃时,降水性质将从雨向雨夹雪或雪转变.     

自然灾害韧弹性社会的理论范式

全球环境变化和经济快速发展导致自然灾害的增加,已经成为现代人类社会最严重的环境问题之一.面对自然灾害风险防控的严峻形势,人类社会必须建设得足够强大,以应对可能发生的自然灾害风险.在提出"构筑自然灾害韧弹性社会减轻自然灾害风险"的基础上,本文重点分析韧弹性的确切涵义,通过综合灾害防御、损害恢复和应急管控,诠释自然灾害韧弹...     

中国综合气候变化风险区划

气候变化作用于自然环境与社会经济系统,产生一系列影响。随着未来社会经济发展,气候变化危险性与自然环境和社会经济承险体耦合形成有规律的风险时空格局。将此时空格局系统化表达即是综合气候变化风险区划,是适应气候变化的科学基础之一。本文基于RCP 8.5下的近中期（2021-2050年）气候情景,分析了中国未来气温和降水变化趋势与速率,评价了干旱、高温热浪以及洪涝等极端事件危险性,选取人口、经济、粮食生产和生态系统等承险体风险作为综合风险定量评估的指标。在系统性、主导因素以及空间连续性原则的指导下,提出中国综合气候变化风险区划三级区域系统方案,划分出8个气候变化敏感区、19个极端事件危险区和46个承险体综合风险区。结果发现：2021-2050年RCP 8.5情景下中国的气候变化高风险区主要包括：华北弱暖增雨敏感区,华北平原热浪危险区,人口经济粮食高风险区;华南—西南弱暖增雨敏感区,黔滇山地热浪危险区,生态经济粮食人口高风险区;华南沿海涝热危险区,生态粮食经济人口高风险区。中国综合气候变化风险区划涵盖了气候变化情景、极端事件发生、社会经济与生态系统的可能损失信息,可以为国家或地方应对气候变化及气候变化风险管理提供科技支撑。     

结构—功能—生境框架下的西南喀斯特生态系统脆弱性研究进展

特殊的地质背景与生态环境叠加强烈的人类活动,导致中国西南喀斯特地区生态系统呈现显著的脆弱性特征。从生态系统敏感性和适应性角度出发,喀斯特生态系统结构、功能和生境对外界扰动响应的脆弱性特征研究已取得一定进展,尤其是借助物种多样性、生态系统生产力、土壤水分/养分等指标揭示了喀斯特生态系统对土地利用/覆被变化、石漠化等过程的敏感性等方面,但综合野外试验、数值模拟、数理统计等手段的生态系统敏感性定量化研究仍较薄弱。在生态系统适应性方面,虽然具有喜钙、耐旱以及石生等特性的植物种群通过形态结构和生理功能的自我调节能够呈现出对岩溶环境的适应性,但喀斯特生态系统对人类干扰和气候变化等环境胁迫响应的适应机制仍缺乏长期的生物及理化过程研究。今后,应针对生态系统结构、功能、生境间的正反馈机制,增强系统组分的耦合分析,加强喀斯特生态系统脆弱性驱动机制研究与定量评估,突出系统脆弱性在石漠化遏制和生态恢复重建中的关键地位。     

华北区域性低能见度天气的自动识别及预报

利用2002~2011年的能见度观测资料以及NCEP格点资料,采用天气学方法研究了华北地区的低能见度天气过程。结果表明:造成研究区域低能见度的500 h Pa天气形势可分为3种类型:2槽1脊型、低槽型、纬向气流型;用特征物理量作为这3种天气型的入型判据,建立了华北区域性低能见度天气的自动识别系统;并在此基础上,利用K指数、露点温度差以及500 h Pa和850 h Pa的假相当位温差等天气诊断物理量,进行第二次判别,进一步消空,最后制作低能见度天气预报。利用以上建立的预报方案,对2002~2011年进行冬半年逐日回代检验,预报准确率达到了78%左右;对2012年的试预报结果为:出现3 d区域性低能见度天气过程完全报对,试验结果表明预报方法达到了较好的效果。     

Eco-geographical Regionalization of China:An Approach Using the Rough Set Method

Eco-geographical regionalization involves dividing land into regions by considering both intra-regional consistency and interregional disparity and is based on the pattern of differentiation of eco-geographical elements.Owing to the complexity of the land surface,and the limitation of data and appropriate methods,regions in China have hitherto been mapped manually,meaning that the process of mapping was non-repeatable.To make the regionalization technique repeatable,this study aimed to extract and quantify the expert knowledge of regionalization using an automated method.The rough set method was adopted to extract rules of regionalization based on the existing eco-geographical regionalization map of China,as well as its corresponding meteorological and geological datasets.Then,the rules for regionalization were obtained hierarchically for each natural domain,each temperature zone,and each humidity region.Owing to differences in zonal differentiation,the rule extraction sequence for the eastern monsoon zone and Tibetan Alpine zone was temperature zone first followed by humidity region,with the reverse order being applied for the northwest arid/semi-arid zone.Results show that the extracted indicators were similar to those of the existing(expert-produced)regionalization scheme but more comprehensive.The primary indicator for defining temperature zones was the≥10℃ growing season,and the secondary indicators were the January and July mean temperatures.The primary and secondary indicators for identifying humid regions were aridity index and precipitation,respectively.Eco-geographical regions were mapped over China using these rules and the gridded indicators.Both the temperature zones and humidity regions mapped by the rules show≥85%consistency with the existing regionalization,which is higher than values for mapping by the commonly used simplified method that uses the classification of one indicator.This study demonstrates that the proposed rough set method can establish eco-geographical regionalization that is quantitative and repeatable and able to dynamically updated.     

“一带一路”陆域地理格局与环境变化风险

“一带一路”建设是中国在新时期推动国际合作共赢的倡议,旨在打造绿色、健康、智力、和平丝绸之路,保障“一带一路”沿线各国人民共同发展。系统分析“一带一路”沿线国家环境特征、演化趋势与未来风险格局,是“一带一路”建设的科学基础。应用遥感监测、统计资料,探究“一带一路”陆域气候、地形、土壤、水文、植被环境要素空间分布特征和时空差异;依据经典综合自然区划的方法论,将“一带一路”陆域划分为中东欧寒冷湿润区、蒙俄寒冷干旱区、中亚西亚干旱区、东南亚温暖湿润区、巴基斯坦干旱区、孟印缅温暖湿润区、中国东部季风区、中国西北干旱区和青藏高原区等9个区域。结合模型模拟、情景预估等技术手段,将自然灾害损失评估方法论用于预估未来30年高温热浪、干旱和洪涝等突发性极端事件的灾害风险,以趋势—基线对比方法预估宏观生态系统、粮食生产等渐变事件的风险。结果显示,亚欧大陆西部将是暖干趋势;青藏高原两侧区域高温热浪高风险;中东欧寒冷湿润区东部干旱高风险;孟印缅温暖湿润区和中国东部季风区洪涝高风险;荒漠边缘区域为生态脆弱高风险区;中低纬区域为粮食减产高风险区。     

基于SWAT模型模拟乌江三岔河生态系统产流服务及其空间变异

产流是生态系统水源涵养服务的重要内容,也是保水固土等服务的关键驱动。脆弱的喀斯特生态系统叠加人类活动的影响引起生态退化,在此背景下亟需深刻理解喀斯特地区产流服务空间格局及其影响因子。选择典型的喀斯特峰丛洼地流域,基于率定校准的SWAT水文模型,对喀斯特流域产流服务（包括地表、地下以及总径流量）进行模拟,并结合空间梯度分析和局部回归模型,剖析不同服务变量的空间变异特征。结果表明：研究区产流量空间分异规律明显,总径流系数约为70.0%;地表径流整体处于较低水平,地下径流量丰富（约为地表径流量的2~3倍）。地形因子对喀斯特流域产流服务具有宏观控制作用,随海拔和坡度升高,总径流量、地下径流量显著增加;植被分布特征对地表径流有重要影响,在上游林地和下游园地分布区存在空间差异,在植被因素的影响下随坡度的增加呈现转折性的变化趋势。此外,空间叠加分析表明林地总径流及地下径流最大：一方面是由于森林生态系统更强的土壤水分涵养能力以及水分快速入渗的地质背景特征;另一方面反映了地表覆盖与地形特征的复合效应,即林地大多分布在相对海拔和坡度较大之处。本文有助于推进喀斯特生态系统服务研究领域的发展与创新,并为生态恢复建设提供科技支撑。     

Revealing ecosystem services relationships and their driving factors for five basins of Beijing

A clear understanding of the relationships among multiple ecosystem services(ESs) is the foundation for sustainable urban ecosystem management. Quantitatively identifying the factors that influence ES trade-offs and synergies can contribute to deepening ES research, from knowledge building to decision making. This study simulated soil conservation, water yield and carbon sequestration in Beijing, China, from 2015–2018. The spatial trade-offs and synergies of these three ESs within the five major river basins in Beijing were explored using geographically weighted regression. Furthermore, geographical detector was applied to quantitatively identify the driving mechanism of the environmental factors for the ES trade-offs and synergies. The results show the following:(1) the spatial relationships between soil conservation and water yield, as well as between water yield and carbon sequestration, were mainly trade-offs. There was a spatial synergy between soil conservation and carbon sequestration.(2) Regarding the spatial trade-off/synergy between soil conservation and water yield in Beijing, the dominant influencing factor was temperature/elevation, and the dominant interactions of the spatial trade-off and synergy between these two ESs in Beijing and the Chaobai River Basin are all manifested in the superposition of precipitation and potential evapotranspiration, temperature, and elevation.(3) Topographic factors were the dominant factors influencing the spatial relationship between soil conservation and carbon sequestration in Beijing and its five major river basins. As a result of the distribution of water systems and hydrological characteristics of the basins, differences were observed in the effects of different combinations of interaction factors on the spatial relationship between these two ESs in different basins.(4) Temperature had the strongest explanatory power in terms of the spatial trade-offs and synergies between water yield and carbon sequestration. The interactions between precipitation and temperature and between precipitation and elevation were the dominant interactions affecting the spatial relationship between water yield and carbon sequestration in Beijing. Overall, the explanatory power of influencing factors on the trade-offs and synergies and the degree of interaction between factors coexist in different basins with consistency and differences. Therefore, understanding the quantitative characteristics of basin-scale spatial trade-offs and synergies between ESs is important for ecosystem management and the promotion of synergy in different basins.