太阳变化驱动气候变化研究进展

从5个方面综述了近20年来太阳变化驱动气候变化研究的进展,重点在机制方面,即对全球变暖原因看法的分歧、太阳总辐射量的卫星测量结果、树轮14C记录与太阳变化代用指标、太阳变化影响的模拟研究,以及太阳—宇宙射线—云量的关系。强调这是一个有重大经济和科学意义的前沿课题。     

温室气体强迫与东亚亚热带季风演变耦合效应及动力机制研究

基于主要温室气体（CO₂、CH₄和N₂O）强迫因子和石笋δ¹⁸О观测资料（1~2002 年）,分别利用关联性耦合模型和非线性统计-动力学方法,分析温室气体强迫与东亚亚热带季风演变耦合度的时序规律和定量反演模拟温室气体强迫对近2 000 a东亚亚热带季风演变影响的非线性趋势和相对贡献。研究发现：① 温室气体与季风演变耦合度的高低对应季风的强弱变化,即两者耦合作用越强,东亚亚热带季风越强;反之,两者耦合强度越小,东亚亚热带季风越弱;耦合度峰谷值对应季风极强降水和极端干旱时段。② 时序演变规律为：N₂O和CO₂相互作用与季风演变间耦合效应最强,成为东亚亚热带季风演变的主要驱动力。其次,N₂O一次项和CO₂非线性项对季风演变起主要的负反馈调节机制。③ 时序演变阶段上有所不同：1~180年,CH₄因子对季风演变主要起负反馈调节机制;180~1760年和1760~2002年,对季风演变起主要的驱动和调节机制分别为CO₂因子和N₂O因子;但1900年后N₂O和CO₂相互作用与季风演变的耦合驱动效应近百年来明显增强,耦合度在中等-较强（或极强）之间来回波动转换,耦合作用明显增强,在耦合度由较强（或极强）转弱至中等时,东亚亚热带季风也随之减弱。     

常量元素记录的毛乌素沙地东南缘全新世气候变化

毛乌素沙地处于中国季风边缘的半干旱区,对气候变化响应敏感,是研究过去全球气候变化的理想场所。对沙地东南缘锦界剖面全新统砂质黄土-古风成砂-古土壤互层沉积序列进行研究,在OSL测年基础上,通过沉积物常量元素氧化物含量及其比值分析,结合粒度、磁化率特征,探讨了毛乌素沙地东南缘7.9ka BP以来气候变化。结果表明：（1）地层常量元素氧化物以SiO₂和Al₂O₃为主,其他元素含量依次为Na₂O、K₂O、Fe₂O₃、CaO、MgO。各种元素活动性不同,K、Na活动性较强,易淋失;Si活动性较稳定,风成砂中易富集;Ca、Mg、Al、Fe活动性较弱,古土壤中富集。（2）7.9ka BP以来气候变化分为6个阶段。7.9～7.3 ka最温暖湿润时段;7.3～6.8 ka,气候转冷干;6.8～4.3 ka,整体上温暖湿润,期间存在2次由暖湿变冷干的波动,并出现过6次风沙活动,即6.6～6.3、6.1、5.9、5.7～5.5、5.3～5.0、4.7～4.4 ka;4.3～2.5ka BP,气候转冷干;2.5～1.8ka BP出现过短暂湿润期,但暖湿程度不及全新世中期;1.8ka BP以来气候渐趋干旱并接近现代气候。（3）全新世气候变化与毗邻的萨拉乌苏河流域、浑善达克沙地等记录的气候变化具有很好的一致性,这是通过东亚冬夏季风强弱消长变化对全球变化的区域响应。     

基于重心-GTWR模型的京津冀城市群城镇扩展格局与驱动力多维解析

城镇用地扩展格局及驱动力研究对城市群发展规划与决策具有重要意义。以京津冀地区为例,基于城镇用地扩展强度指数、城镇用地扩展差异指数、分形维数、土地城镇化率和重心转移模型,多维解析了城市群城镇用地扩展格局特征,并耦合重心转移模型和时空地理加权回归（GTWR）模型构建重心-GTWR模型,在对空间格局进行长时间序列多维度指标分析的基础上,运用该模型依序对其特征进行驱动力解读,进而总结凝练京津冀区域发展的主导模式与城市核心驱动力。主要结论为：① 1990-2015年,京津冀城市群城镇用地扩展强度呈现“下降-上升-下降”的趋势,高峰时期在2005-2010年,在2005年之前高速发展城市集中在北京、天津、保定和廊坊,2005年之后集中在邢台和邯郸;② 城市群城镇用地重心虽呈现出发散态势,但城市之间的局部相互作用力逐渐增强,城镇用地扩展驱动力表现出空间溢出特征;③ 京津冀城市群空间发展模式由以北京和天津为中心的双核发展模式向多核发展模式转变,并出现北部资源运输核心、中部经济发展核心和南部投资发展核心三大功能核心组团,城市群趋向于多核功能协同发展模式;④ 重心-GTWR模型结合了时空非平稳性和城市空间相互作用,将城市群城镇用地扩展作为一个时空变化系统进行分析,经验证,该模型在城镇用地扩展格局驱动力分析研究中具有可行性。     

柴达木盆地盐湖锂矿床成矿过程及分布规律

柴达木盆地盐湖蕴藏230×10~4t锂,集中分布在别勒滩、东西台等4个盐湖,占我国卤水锂资源总量~80%,战略资源地位不言而喻。近年来提锂技术及工程化研究倍受重视,而对盐湖锂矿成因和分布规律的了解凸显不足,锂矿资源流失严重与之不无关联。研究查明,昆仑山高温热泉群含锂泉水长期注入洪—那河,流入终端盐湖,蒸发富集成矿;锂的年输入通量748.8 t,结合区内盐湖锂矿总储量保守估算,成矿期始于14 ka BP之后;洪—那河早期主要流向别勒滩,在山前冲积扇向北推进、扇前河改道北流后,方才形成含锂河水当前分配格局。据此,破解了别勒滩锂矿在研究区储量最大的原由。还查明了锂矿床仅存在于别勒滩,而在达布逊等3个区段不能成矿的原因。阐明了锂的来源与新生代火山喷发岩、深部岩浆房、昆仑大断裂活动有关,以及含锂热水持续远程输送至盐湖成矿的地貌和水文气候动因。企业应当根据锂的分布规律和矿床特征,迅速转变钾肥生产模式。     

晚冰期以来大柴旦盐湖沉积记录的古气候演变及其尘暴事件

本文选择大柴旦盐湖DCD03沉积剖面柱硼镁石矿层下伏土黄色淤泥质粉砂层为研究对象,基于AMS ₁₄C年代学、岩性地层学、矿物学以及地球化学等研究方法,旨在探讨土黄色湖相淤泥质粉砂沉积记录的尘暴事件,以及重建晚冰期以来西风环流显著影响区的水文气候变化。研究结果表明,DCD03沉积剖面的淤泥质粉砂样品粒度频率曲线呈现为双峰态,主峰(均值10 μm)反映了河流作用携带入湖的细粒组分,次峰(﹥32 μm)则反映了风力作用以及河流作用等携带入湖的粗粉砂粒组分。大于64 μm的砂砾组分可能代表外源风尘物质的输入,由尘暴天气携带入湖。大柴旦地区晚冰期以来依次出现了博令和阿勒罗德暖期(12.94~12.17 cal. ka BP)、新仙女木冷期(12.17~11.37 cal. ka BP)、不稳定的早全新世气候(11.37~8.64 cal. ka BP)以及趋于偏冷干的中全新世早期(8.64~7.39 cal. ka BP)。     

Changes in production potentials of rapeseed in the Yangtze River Basin of China under climate change: A multi-model ensemble approach

Rapeseed is one of the major oil crops in China and it is very sensitive to climate change. The Yangtze River Basin is the main rapeseed production area in China. Therefore, a better understanding of the impact of climate change on rapeseed production in the basin is of both scientific and practical importance to Chinese oil industry and food security. In this study, based on climate data from 5 General Circulation Models (GCMs) with 4 representative concentration pathways (RCPs) in 2011–2040 (2020s), 2041–2070 (2050s) and 2071–2100 (2080s), we assessed the changes in rapeseed production potential between the baseline climatology of 1981–2010 and the future climatology of the 2020s, 2050s, and 2080s, respectively. The key modelling tool – the AEZ model – was updated and validated based on the observation records of 10 representative sites in the basin. Our simulations revealed that: (1) the uncertainty of the impact of climate change on rapeseed production increases with time; (2) in the middle of this century (2050s), total rapeseed production would increase significantly; (3) the average production potential increase in the 2050s for the upper, middle and lower reaches of the Yangtze River Basin is 0.939, 1.639 and 0.339 million tons respectively; (4) areas showing most significant increases in production include southern Shaanxi, central and eastern Hubei, northern Hunan, central Anhui and eastern Jiangsu.     

Multifractal process of runoff fluctuation of the Kaidu River in Xinjiang,China

Based on the hydrological data in the headwater region of the Kaidu River during 1972–2011, the multifractal process of runoff fluctuation was analyzed. Results indicated that, in the past 40 years, the overall runoff of the Kaidu River in Xinjiang has shown significant multifractal behavior. Its singular curve lnχ_q(ε)–ln(ε) verified a favorable scale invariance over the entire time scale. τ(q)–q proved that evolution of the runoff time series presented multifractal characteristics. Moreover,the multifractal spectrum f(α)–α curve was hooklike leftward which indicated that, compared to relatively large runoff events. And Δf0 indicated that these relatively small events took the leading role; B0 explained the Kaidu River's daily-runoff ascending tendency presented during 1972–2011. Besides that, the multifractal behavior of the Kaidu River's runoff variability over four decades was also analyzed. Generally speaking, by decades, their four corresponding spectrum variations were not noticeable. These Δα values showed larger runoff events occupied the leading position with some local values falling. During the 1970 s to the 1990 s, Δf0 illustrated the probability of the daily runoff at the lowest point is always larger than that of the highest during three continuous decades. At the beginning of the 21 st century, for Δf0 the trend presented was contrary from the 1970 s to the 1990 s. B values suggested an overall trend of increases during1972–2011. Until the 21 st century, the runoff with a slightly descending tendency on the whole explained these relatively large runoff events taking the leading role for the Kaidu River; but sometimes, some small events also played the dominant role.     

Quantitative Analysis of Central Asian Countries’ Energy Security and Its Political Influence Factors

Central Asian countries are located in the heartland of the Eurasian Continent. Their geographic location puts their energy flows under tremendous geopolitical pressure from the countries along their limited number of pipelines. With energy trade data from the United Nations Comtrade Statistics Database in the period from 2005 to 2016, this paper evaluates energy security of Kazakhstan and Turkmenistan (exporter) and Kyrgyzstan (importer) using three standards: correlativeness, diversity, and the impact of international relations. It concludes that Kazakhstan and Turkmenistan’s oil markets are balanced in terms of correlation and diversification, and thus less subject to geopolitical pressure. Turkmenistan’s gas markets, on the other hand, still have tremendous exposure to geopolitical risks for lack of diversification. Kyrgyzstan, as an energy importer, could rely on a few neighboring countries for energy supply. We found out that the three Central Asian countries’ energy security is largely determined by four political factors: the relationship with Russia, the new “great game” in Eurasia, the rise of China, and Central Asian regional geopolitical configuration.