大兴安岭中北段塔尔气地区早白垩世白音高老组火山岩地球化学特征及意义

塔尔气地区早白垩世白音高老组火山岩主要由流纹岩、流纹质(含角砾)岩屑晶屑凝灰岩及流纹质岩屑晶屑凝灰熔岩等组成。岩石地球化学研究表明,火山岩具有富铝(Al2O3含量13.37%~15.79%)、富碱(Na2O+K2O含量6.10%~8.56%)、贫镁钙的特点;稀土元素丰度总量较高,轻、重稀土元素分馏明显[(La/Yb)N=3.72~17.9],且HREE有较明显的凹陷;微量元素以相对富集K、Rb、Ba、LREE等大离子亲石元素,而相对亏损Sr元素以及高场强元素Nb、Ta、Ti为特征。结合前人研究结果表明,塔尔气地区白音高老组火山岩来源于基性下地壳物质的部分熔融。结合火山岩所具有的A型流纹岩的特点,暗示为伸展构造体制下的产物,可能与蒙古—鄂霍茨克洋闭合后的伸展环境有关。     

小兴安岭西北部霍龙门地区花岗质杂岩锆石U--Pb年龄、岩石地球化学特征及地质意义

小兴安岭西北部的霍龙门地区位于兴蒙造山带东段,该区出露的大面积花岗质杂岩为新开岭—科洛杂岩的重要组成部分。该花岗质杂岩主要由花岗质和花岗闪长质糜棱岩等组成,其中花岗质糜棱岩的SHRIMP锆石U--Pb定年结果为310.7±6.5 Ma,表明其原岩形成于晚石炭世。该杂岩的主量元素总体显示中、高钾钙碱性准铝质--过铝质系列岩石的特点;微量元素表现出Th、Zr、Hf、Nd、Rb、K明显富集,而Ba、Sr、Nb、P、Ti明显亏损;稀土元素具有明显的轻稀土元素富集、重稀土元素相对亏损的特征,有较明显的负Eu异常,轻、重稀土元素分馏程度较强。结合区域构造演化特点及花岗质杂岩的形成环境等,综合显示该杂岩的原岩应形成于晚古生代,于三叠纪时期发生明显的变质变形作用。     

罗霄山区旅游扶贫效应的居民感知与态度研究——以湖南汝城国家森林公园九龙江地区为例

旅游扶贫应立足于贫困人口的获利和发展,其核心是使贫困人口从旅游开发中获得更多的发展机会和净利益。以居民感知理论为基础,对汝城国家森林公园九龙江地区居民进行问卷调查,采用因子分析法和数理统计法,分析当地居民对旅游扶贫效应的感知和态度。研究结果表明:当地居民对旅游扶贫的社会和经济效应感知明显,对环境效应不敏感,参与旅游业的意愿强,但受经济、文化等因素制约,实际参与能力不足。建议当地政府将旅游业培育成特色产业,以居民受益为出发点,对居民进行扶持与引导,鼓励居民参与旅游开发与决策,并注重资源开发与保护相结合,以期实现贫困人口脱贫和旅游发展的双赢。     

秦岭太白山古冰川发育与黄土高原气候变迁

本文通过古冰川遗迹的系统分析,揭示了太白山雪线变化和冰川发育过程,将其与黄土高原晚第四纪气候变化模式对比,阐明了太白山雪线变化和冰川发育的时代和时间序列问题。     

成都市红山村暴雨滑坡灾害

本文概述了成都市彭县通济乡境内的龙门山区,1990年8—9月上旬发生的暴雨、山洪、山崩、滑坡泥石流灾害。重点论述通济乡红山村滑坡性质,基本特征,成因及发展趋势,最后提出防治滑坡的初步意见。     

Climate during the last glacial maximum in the Wasatch and southern Uinta Mountains inferred from glacier modeling

Recent improvements in understanding glacial extents and chronologies in the Wasatch and Uinta Mountains and other mountain ranges in the western U.S. call for a more detailed approach to using glacier reconstructions to infer paleoclimates than commonly applied AAR-ELA-ÄT methods. A coupled 2-D mass balance and ice-flow numerical modeling approach developed by [Plummer, M.A., Phillips, F.M., 2003. A 2-D numerical model of snow/ice energy balance and ice flow for paleoclimatic interpretation of glacial geomorphic features. Quaternary Science Reviews 22, 1389–1406] allows exploration of the combined effects of temperature, precipitation, shortwave radiation and many secondary parameters on past ice extents in alpine settings. We apply this approach to the Little Cottonwood Canyon in the Wasatch Mountains and the Lake Fork and Yellowstone Canyons in the south-central Uinta Mountains. Results of modeling experiments indicate that the Little Cottonwood glacier required more precipitation during the local Last Glacial Maximum (LGM) than glaciers in the Uinta Mountains, assuming lapse rates were similar to modern. Model results suggest that if temperatures in the Wasatch Mountains and Uinta Mountains were  6 °C to 7 °C colder than modern, corresponding precipitation changes were  3 to 2× modern in Little Cottonwood Canyon and  2 to 1× modern in Lake Fork and Yellowstone Canyons. Greater amounts of precipitation in the Little Cottonwood Canyon likely reflect moisture derived from the surface of Lake Bonneville, and the lake may have also affected the mass balance of glaciers in the Uinta Mountains.     

龙门山泥盆纪腕足化石锶同位素组成特征及其古环境意义

生物成因的海相碳酸盐岩中Sr同位素组成与演化是目前研究古海平面变化、造山运动以及古气候变化的主要工具,在海相地层定年及全球等时对比研究中发挥着重要作用。对四川龙门山泥盆纪剖面腕足化石Sr同位素组成进行了研究。保存鉴定结果显示：腕足化石壳体结构保存完整;阴极射线照射下壳体不发光或部分壳体呈微弱橙黄色;大多数壳体微量元素Mn〈250μg／g、Sr〉400μg／g。表明腕足化石保存完好,后期成岩作用影响微弱。锶同位素结果显示：龙门山泥盆纪sr同位素演化同全球泥盆纪Sr同位素演化基本一致,表明龙门山泥盆纪Sr同位素演化受全球性变化影响。早泥盆世较高Sr同位素比值（甘溪组0．708437）可能是受加里东造山运动的影响,大量古陆的出露,风化作用的加强所致。其后的缓慢下降可能受海平面上升古陆面积缩小的影响。中泥盆世Sr同位素组成低值平台显示着幔源Sr和陆源Sr（风化作用较弱）输入量之间的平衡。随后的Sr同位素组成的上升可能是受中泥盆世开始温度上升的影响,致使风化作用的加强所致。     

断裂熔融作用中单质铁的形成及其指示的孕震环境

目前缺乏来自于地震断裂带的假玄武玻璃的原始特征研究,制约着我们对地震孕震环境和地震发生机制的认识。本文以龙门山断裂带汶川科钻2号钻孔岩心的碎裂岩及花岗闪长岩为研究对象,通过氩气环境下的高温加热实验(最高温度达1750℃)、显微结构观察、地球化学分析和岩石磁学测试,探讨断裂熔融作用中单质铁的形成及其指示意义。花岗闪长岩和碎裂岩在1100℃时发生部分熔融作用,形成了非晶质和微晶;在≥1300℃时形成了大量单质铁组成的微球粒,可能是含铁矿物发生了以碳物质为还原剂的高温还原反应。高温实验后样品的磁化率值高于碎裂岩的磁化率值,新生成的磁铁矿是≤1100℃的样品高磁化率值的主要原因;熔融作用中形成的单质铁和少量的磁铁矿是≥1300℃样品高磁化率值的重要原因。结合前人对于快速摩擦实验熔体、地幔物质及陨石的研究,我们认为粘土矿物、硅酸盐矿物含量较多的断层泥在同震滑移中因热增压机制很难形成单质铁;而花岗岩、安山岩、辉长岩、闪长岩等岩浆岩和糜棱岩在流体作用弱和硫化物含量低的环境中易在大地震中形成单质铁。龙门山断裂带的假玄武玻璃的熔融温度≥1300℃,硫元素含量较低并发现有过剩铁元素。因此,表明龙门山断裂带的假玄武玻璃中可能形成了单质铁,其和磁铁矿是假玄武玻璃高磁化率值异常的重要原因,并指示了深部流体作用弱、硫化物含量低、还原性的孕震环境。     

Snowmelt characteristics in a pristine mountain catchment of the Jalovecký Creek,Slovakia, over the last three decades

The Jalovecký Creek catchment, Slovakia (area 22.2 km², mean elevation 1500 m a.s.l.), is likely the last big valley complex in the Carpathian Mountains, in which the hydrological cycle is still governed by natural processes. Hydrological research is conducted there since the end of the 1980s. The overall mission of the research is to increase the knowledge about the hydrological cycle in the highest part of the Carpathians. The research agenda, briefly introduced in the first part of this article, is focused on water balance, snow accumulation and melt and runoff formation. Recent analysis of precipitation, discharge, snow cover and isotopic data from period 1989–2018 indicates that hydrological cycle has become more dynamic since 2014. Although several indicators suggest that it could be related to the cold part of the year, direct links with snow storage and the contribution of snowmelt water to catchment runoff were not confirmed. The second part of the article is therefore focused on an analysis of daily cycles in streamflow in March to June 1988–2018 to obtain a deeper insight into the snowmelt process. We describe characteristics of the cycles and examine their variability over the study period. The results indicate that less snow at the lowest elevations (800–1150 m a.s.l.) since 2009 could have influenced the cessation of the cycles in June since 2010. The possible role of the decreased amount of snow at the lowest elevations in changes in runoff characteristics is also suggested by an increase in time lags between maximum discharges during the events and maximum air temperatures preceding discharge maxima measured near the catchment outlet (at 750 m a.s.l.) in spring 2018 compared to springs with a similar number of streamflow cycles in the years 1988, 2000 and 2009. Wavelet analysis did not indicate changes in global power spectra in hourly discharge and air temperature data.     

Shenandoah Watershed Study-Virginia Trout Stream Sensitivity Study (SWAS-VTSSS): Stream water quality and hydrologic monitoring data for mid-Appalachian headwater streams

The Shenandoah Watershed Study (established in 1979) and the Virginia Trout Stream Sensitivity Study (established in 1987) serve to increase understanding of hydrological and biogeochemical changes in western Virginia mountain streams that occur in response to acidic deposition and other ecosystem stressors. The SWAS-VTSSS program has evolved over its 40+ year history to consist of a temporally robust and spatially stratified monitoring framework. Currently stream water is sampled for water quality bi-hourly during high-flow events at three sites and weekly at four sites within Shenandoah National Park (SHEN), and quarterly at 72 sites and on an approximately decadal frequency at ~450 sites within the wider western Virginia Appalachian region. Stream water is evaluated for pH, acid neutralizing capacity (ANC), base cations (calcium, magnesium, sodium and potassium ion), acid anions (sulphate, nitrate and chloride), silica, ammonium, and conductivity with a subset of samples evaluated for monomeric aluminium and dissolved organic carbon. Hourly stream discharge (four sites) and in-situ measurements of conductivity, water and air temperature (three sites) are also measured within SHEN. Here we provide an overview and timeline of the SWAS-VTSSS stream water monitoring program, summarize the field and laboratory methods, describe the water chemistry and hydrologic data sets, and document major watershed disturbances that have occurred during the program history. Website links and instructions are provided to access the stream chemistry and time-series monitoring data in open-access federal databases. The purpose of this publication is to promote awareness of these unique, long-term data sets for wider use in catchment studies. The water chemistry and hydrologic data can be used to investigate a wide range of biogeochemical research questions and provide key inputs for models of these headwater stream ecosystems. SWAS-VTSSS is an ongoing program and quality assured data sets are uploaded to the databases annually.