Evidence of climatic warming in the southern Urals region derived from borehole temperatures and meteorological data

Thirty borehole temperature–depth profiles in the central and southern Urals, Russia were scrutinized for evidence of ground surface temperature histories. We explored two inversion schemes: a simple ramp inversion in which solutions are parameterized in terms of an onset time and magnitude of change and a more sophisticated functional space inverse algorithm in which the functional form of the solution is left unspecified. To enhance and potentially identify latitudinal differences in the ground surface temperature signal, we subdivided the data into three groups based on geographic proximity and simultaneously inverted the borehole temperature–depth logs. The simultaneous inversions highlighted 13 temperature–depth logs that could not both fit a common ground surface temperature history and a priori models within reasonable bounds. Our results confirm that this is an effective way to reduce site-specific noise from an ensemble of boreholes. Each inversion scheme gives comparable results indicating locally variable warming on the order of 1°C starting between 1800 and 1900 AD. Similarly surface air temperature records from 12 nearby meteorological stations exhibit locally variable warming also on the order of 1°C of warming during the 20th century. To explore the degree to which borehole temperatures and surface air temperature (SAT) time series are responding to the same signal, we average the SAT data into the same three groups and used these averages as a forcing function at the Earth's surface to generate synthetic transient temperature profiles. Root mean square (RMS) misfits between these synthetic temperature profiles and averaged temperature–depth profiles are low, suggesting that first-order curvature in borehole temperatures and variations in SAT records are correlated.     

Simulation of double cold cores of the 35°N section in the Yellow Sea with a wave-tide-circulation coupled model

Based on the MASNUM wave-tide-circulation coupled numerical model, the temperature structure along 35°N in the Yellow Sea was simulated and compared with the observations. One of the notable features of the temperature structure along 35°N section is the double cold cores phenomena during spring and summer. The double cold cores refer to the two cold water centers located near 122°E and 125°E from the depth of 30m to bottom. The formation, maintenance and disappearance of the double cold cores are discussed. At least two reasons make the temperature in the center (near 123°E) of the section higher than that near the west and east shores in winter. One reason is that the water there is deeper than the west and east sides so its heat content is higher. The other is invasion of the warm water brought by the Yellow Sea Warm Current (YSWC) during winter. This temperature pattern of the lower layer (from 30m to bottom) is maintained through spring and summer when the upper layer (0 to 30m) is heated and strong thermocline is formed. Large zonal span of the 35°N section (about 600 km) makes the cold cores have more opportunity to survive. The double cold cores phenomena disappears in early autumn when the west cold core vanishes first with the dropping of the thermocline position. Supported by the National Basic Research Program of China (No. G1999043809) and the National Science Foundation of China (No. 49736190).     

黄河流域人口预期寿命的时空演化及影响因素分析

健康人力资本对社会经济发展有重要的促进作用。以黄河流域71个地级行政单元为研究对象,利用变异系数、泰尔指数、空间自相关模型等方法,研究该流域人口预期寿命的时空演化特征,并根据地理探测器分析其影响因素。结果表明：(1) 2000—2019年,黄河流域人口预期寿命均值由69.99岁提升至76.96岁,整体呈上升趋势,但长期低于我国人口预期寿命均值;(2)人口预期寿命区域差异整体呈先增后降趋势,且地带间差异不断收敛,地带内差异与流域总体变化基本一致;(3)人口预期寿命存在明显空间集聚,但其空间自相关性不断减弱,且空间变化较大。具体而言,黄南藏族自治州、海南藏族自治州、甘南藏族自治州等藏区形成稳定性冷点区,山东省形成规模的稳定性热点区;(4)医疗卫生资源和自然条件对上游地区人口预期寿命影响最为显著;经济发展水平和环境污染对下游地区人口预期寿命解释力最强;教育水平是影响黄河流域各个地区人口预期寿命的重要因子。不同因子交互作用的解释力均高于单因子解释力,黄河流域人口预期寿命的空间差异是多因子共同作用的结果。     

River rafting in mountainous regions of Uttarakhand: Impacts, suggested mitigation measures and sustainability

Uttarakhand state in India is well known for its mountainous ecosystems,traditional communities and a variety of ecotourism destinations.Among various tourism activities,River Rafting along the banks of the Ganges River has increased tremendously for two decades,and has had unprecedented impacts on the traditional communities and the bio-diversity.Therefore,it is meaningful to do a comprehensive study on the various impacts associated with river rafting so as to suggest the pathways to achieve the environmental sustainability in this region.In this study,we collected primary data from randomly selected population units across all stake holders such as local people(n = 100),and camp personnel(n = 22),through a pre-tested questionnaire survey between August 2009 and May 2010.The questionnaire contains issues on culture,social,economic,institutional and associated perceived impacts on pollution and biodiversity including views for sustainability.Secondary information was also collected from various sources and government records to supplement and strengthen the analysis.The impacts were analyzed qualitatively through a ranking mechanism to facilitate the decision making process.The perception of the interviewee about the various possible impacts of rafting was discussed with mitigating mechanism.The ranking analysis as percollected data reveals that economy and education of local community was improved significantly;however aquatic and terrestrial fauna,social cohesion and pollution(water,air,land) were significantly deteriorated.The results show that the existing practices are not sufficient to address the adverse impacts.Improvement in practices is necessary,mainly in the policy regime.Based on the analysis,some measures are recommended on how to protect community interest and environment with the development of river rafting as an ecotourism opportunity.     

地理信息公共服务平台地理实体数据建模研究

围绕国家地理信息公共服务平台在线地理信息服务的需求,在分析国内外相关成果的基础上,提出了面向实体的数据建模思路,设计了地理实体数据模型,能够方便地实现地理信息与社会、经济、自然资源等专题信息的挂接,并有效解决多比例尺实体目标的一致性维护问题.     

基于长时间序列遥感数据的阿伯德尔国家公园 生态环境质量评价

阿伯德尔国家公园位于号称肯尼亚“水塔”的阿伯德尔山脉上,是肯尼亚重要的旅游景区和珍稀动植物保护区,开展该地生态环境质量评价对肯尼亚水资源保护与可持续发展具有重要的意义。本研究基于1987-2018年的Landsat系列遥感数据,通过计算综合遥感生态指数RSEI,结合趋势线分析法对阿伯德尔国家公园近32年间生态环境质量变化进行客观定量分析。研究结果显示：① 1987-2018年研究区RSEI均值从0.62下降到0.51,生态环境质量退化的区域面积为551.52 km ²,占总面积的71.85%,表明在气候变化和人类活动影响下,1987-2018年研究区的环境状况呈恶化趋势;②环境质量显著恶化的区域主要分布于亚高山植被区和东部低海拔森林覆盖区,亚高山地区植被生态系统结构单一,稳定性差,对气候变化和人类活动更为敏感;而东部区域存在过度开发,非法砍伐森林等现象,且旅游开发强度大,环境恶化与人类活动密切相关。     

华北区域分米级北斗地基增强服务系统构建及精度分析

利用国家级北斗连续运行基准站和省级区域北斗CORS站,基于国家卫星导航定位服务平台,通过改造和直接利用的方式,在华北平原构建了我国首个跨区域北斗分米级地基增强服务系统。经采用双频终端实地测试,该系统覆盖京津冀晋全部区域及内蒙古部分区域,采用GPS+北斗双模定位静态精度达到分米级,动态定位精度达到亚米级,单北斗模式定位精度略低,但仍在分米-亚米量级,极大地提高了我国北斗导航系统的高精度应用能力,拓宽了我国北斗民用导航的应用范围和领域,可满足高精度北斗实时导航、定位服务的应用需求。     

南海北部湾秋季蓝圆鲹与竹筴鱼的摄食生态及食物竞争

【目的】研究南海北部湾海域秋季蓝圆鲹与竹筴鱼的摄食生态特征和种间食物竞争。【方法】采用胃含物分析法,对2017年10月北部湾底拖网调查和港口随机取样收集的119尾蓝圆鲹(Decapterusmaruadsi)和198尾竹筴鱼(Trachurus japonicus)胃含物样品进行分析,通过肉眼直接观察或显微镜间接观察胃中残留的饵料,饵料种类鉴定、计数、称重等对食性做定量分析,以估算两种鱼类的营养级和生态位宽度,并利用生态位重叠研究两种鱼类的食物竞争关系。【结果与结论】蓝圆鲹的饵料种类19种(属),以桡足类和小型鱼类为主,优势饵料生物为布氏半棱鳀(Encrasicholinapunctifer);竹筴鱼的饵料种类18种(属),以小型鱼类和浮游甲壳类为主,优势饵料为中国毛虾(Acetes chinensis)。两种鱼类均为游泳动物食性,均存在摄食转换,随着叉长的增长,蓝圆鲹的饵料生物由小型浮游动物为主转变为小型鱼类为主,竹筴鱼的饵料生物由小型鱼类为主转变为以樱虾类和较大鱼类为主。蓝圆鲹和竹筴鱼的空胃率、竹筴鱼的平均胃饱满指数均随个体生长呈显著变化(P<0.05),但蓝圆鲹的平均胃饱满指数随个体生长无显著变化(P>0.05)。蓝圆鲹和竹筴鱼的营养级分别为3.63和3.40,营养生态位宽度分别为1.70和1.24,生态位重叠系数0.56,表明两种鱼类之间存在一定的食物竞争。     

对太阳第21周最强烈活动区的分析

太阳第２１周实测到３９８６个活动区，以黑子面积、Ｘ射线耀斑指数、１０．７ｃｍ射电爆发及质子事件等四项指数，从中综合评估出ＡＲ３８０４、ＡＲ４４７４等１６个最强烈活动区。与２２周比较，两周都有在时空分布的相对集中性特征。但２１周集中在４个时段，不如２２周在２个时段集中；２１周出现的５个热点，只有南半球在经度８５°前后的热点，与２２周３个热点之一相似；２１周的整体活动水平略低，在Ｘ射线和质子事件两方面尤为显著低于２２周     

新疆孔雀河流域下游平原灌区土壤盐碱化改良的原则与治理措施研究

根据孔雀河流域下游平原灌区自然地理特征,分析盐碱地形成的原因,探讨实施治理盐碱地改良利用应遵守的原则,提出以水利土壤改良为先导,配以农艺改良和生物改良等治理综合措施。以期达到盐碱地标本兼治的目的,从而实现农业可持续发展。