陕南膨胀土及其滑坡灾害研究

膨胀土在陕南汉江流域的汉中盆地、西乡盆地及安康盆地分布广泛，其面积约达1300km2，占汉江流域中3个盆地面积的1/2以上. 由于膨胀土土体的胀缩变形和土体结构变异，导致滑坡灾害广泛发育，致使工程建筑和农田破坏，给国家和人民造成了巨大的经济损失，因此，研究陕南膨胀土及其滑坡灾害，不论在理论和实践等方面，对陕南的经济建设都具有十分重要的意义.     

陕南安康盆地膨胀土工程地质特性研究

安康盆地是我国典型膨胀土分布区。由于膨胀土的胀缩效应致使该地区工业与民用建筑、铁路、公路等工程建设造成严重危害。本文重点对安康盆地三种类型膨胀土的物质成分、微观结构和工程地质特性进行了研究,阐述了安康盆地膨胀土的地质灾害。     

陕西渭北岩溶热水赋存及开发利用研究

隶属于渭北岩溶水系统的岩溶热水,是受控于岐山—富平—韩城深断裂带的深循环水热型热储,其可采资源322.4Mm~3/a。本文旨在论述岩溶热水赋存规律,并结合开发实践,从科学规划角度探讨合理开发利用的有关问题。     

秦岭陕西段南北坡植被对干湿变化响应敏感性及空间差异

秦岭位于暖温带与亚热带交界处,也是中国南北地理分界线,秦岭南北坡植被对干湿变化响应敏感性,可以折射出暖温带、亚热带地区主要植被类型对于湿变化的响应规律和机制特征,对深入理解不同气候带植被变化规律具有重要意义.本文利用秦岭山地32个气象站点的气象数据和MODIS NDVI时间序列数据集,探讨了2000-2018年秦岭南北...     

地物化综合方法在危机矿山成矿预测中的应用——以山东沂南金矿为例

山东沂南金矿床是鲁西地区典型的夕卡岩型矿床,历经50余年的开采,后备资源储量严重不足。文章借助危机矿山矿产预测项目,在成矿系统理论指导下,通过对已有资料二次开发,深入分析了矿床成矿地质条件和控矿因素,总结了成矿规律。并在大比例尺路线地质调查和地质填图的基础上,在矿区外围选定了2个预测靶区,结合有针对性的地、物、化等综合方法进行了成矿预测,经钻孔验证于不整合面发现工业矿体,为矿山开辟了新的接替资源基地,有效延长了矿山服务年限。2个预测靶区验证钻孔成功见矿,尤其是不整合面见矿的事实,不仅表明沂南金矿深、边部巨大的成矿潜力,对指导沂南金矿深部、外围乃至鲁西地区找矿勘探具有重要意义。     

Spatio-temporal differentiation of climate warming(1959-2016)in the middle Qinling Mountains of China

Based on air temperature observation data from 32 meteorological stations, temperature changes in the middle Qinling Mountains from 1959 to 2016 were analysed with respect to the north-south, seasonal and altitude differences. Our research mainly showed the following results. The annual temperature(TA) rose approximately 0.26℃/10 a within the past 58 years. This warming trend was stronger on the northern slope than on the southern slope, and a warming trend reversal occurred in 1994 on the northern slope, which was three years earlier than on the southern slope. The temperature changes for the four seasons were not synchronized, and the trend in spring contributed the most to the TA trend, followed by winter, autumn, and summer. The temperature difference between summer and winter(TDSW) decreased significantly over the past 58 years. The temperature change in the middle Qinling Mountains was clearly dependent on altitude. With increases in altitude, the TA increased gradually and became stronger while the TDSW decreased gradually and became weaker. Differences in temperature change between the north and south were mainly observed in low-altitude areas. With increase in altitude, the differences gradually tended to disappear.     

Sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics on the northern and southern slopes of the Qinling Mountains in Shaanxi province

The Qinling Mountains, located at the junction of warm temperate and subtropical zones, serve as the boundary between north and south China. Exploring the sensitivity of the response of vegetation there to hydrothermal dynamics elucidates the dynamics and mechanisms of the main vegetation types in the context of changes in temperature and moisture. Importance should be attached to changes in vegetation in different climate zones. To reveal the sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics, the spatio-temporal variation characteristics of the normalized vegetation index(NDVI) and the standardized precipitation evapotranspiration index(SPEI) on the northern and southern slopes of the Qinling Mountains from 2000 to 2018 are explored using the meteorological data of 32 meteorological stations and the MODIS NDVI datasets. The results show that: 1) The overall vegetation coverage of the Qinling Mountains improved significantly from 2000 to 2018. The NDVI rise rate and area ratio on the southern slope were higher than those on the northern slope, and the vegetation on the southern slope improved more than that on the northern slope. The Qinling Mountains showed an insignificant humidification trend. The humidification rate and humidification area of the northern slope were greater than those on the southern slope. 2) Vegetation on the northern slope of the Qinling Mountains was more sensitive to hydrothermal dynamics than that on the southern slope. Vegetation was most sensitive to hydrothermal dynamics from March to June on the northern slope, and from March to May(spring) on the southern slope. The vegetation on the northern and southern slopes was mainly affected by hydrothermal dynamics on a scale of 3–7 months, responding weakly to hydrothermal dynamics on a scale of 11–12 months. 3) Some 90.34% of NDVI and SPEI was positively correlated in the Qinling Mountains. Spring humidification in most parts of the study area promoted the growth of vegetation all the year round. The sensitivity of vegetation responses to hydrothermal dynamics with increasing altitude increased first and then decreased. Elevations of 800 to 1200 m were the most sensitive range for vegetation response to hydrothermal dynamics. The sensitivity of the vegetation response at elevations of 1200–3000 m decreased with increasing altitude. As regards to vegetation type, grass was most sensitive to hydrothermal dynamics on both the northern and southern slopes of the Qinling Mountains; but most other vegetation types on the northern slope were more sensitive to hydrothermal dynamics than those on the southern slope.