天津近岸海域大型底栖动物摄食功能群特征及其与环境因子的关系

摄食功能群是指生态系统中食性相同的生物群落,研究摄食功能群有助于科学评估区域生态健康状况.基于2015年9月、2016年5月和2016年9月的天津近岸海域大型底栖动物调查数据,结合同步获取的环境因子,分析研究区大型底栖动物摄食功能群组成及其变化特征,探究大型底栖动物摄食功能群组成及变化的原因.结果表明,3个航次的大型底...     

西太平洋海山区构造分区图编制及玄武岩Nd同位素填图

基于公开的地球物理、地球化学数据以及国内外航次调查积累的海底地形等资料,笔者编制了西太平洋海山区1:500万构造分区图.西太平洋海山区构造分区图包括1幅主图和3幅辅图,主图为《西太平洋海山区构造分区图》,共划分出了3个一级板块、22个二级分区块体、12个三级分区块体,3幅辅图分别为《西太平洋海山区地质构造图》、《西太平...     

减轻地质灾害,促进首都北京可持续发展

在总结分析北京所遭受的地质灾害类型、发育特征、分布规律及其所造成的危害基础上,论述了地质灾害与可持续发展的关系,建立了地质灾害对区域可持续发展影响指标体系与评价方法。最后,针对首都北京减灾现状,提出了预防和治理地质灾害、实现可持续发展的措施。     

西宁市城区扩展对比中遥感影像处理技术的探讨

根据西宁市城区扩展监测对遥感信息提取的需要,采用多种方法将具有较高空间分辨率的SPOT遥感图像和具有多波谱的ETM 遥感图像进行增强及融合试验,结果表明:对ETM 影像先进行锐化处理,再将SPOT影像与锐化后的ETM 信息融合,然后对融合后的影像进行去霾处理得到的影像质量最好。     

中国碳强度关键影响因子的机器学习识别及其演进

碳强度影响因子数量众多,通过在众多因子中评估其重要性以识别出关键影响因子进而解析碳强度关键因子的变化规律,是中国2030年碳强度能否实现比2005年下降60%~65%目标的科学基础。传统的回归分析方法对于评估众多因子的重要性存在多重共线性等问题,而机器学习处理海量数据则具有较好的稳健性等优点。本文从能源结构、产业结构、技术进步和居民消费等方面选取了56个中国碳强度影响因子指标,采用随机森林算法基于信息熵评估了1980-2014年逐年各项因子的重要性,通过指标数量与信息熵的对应关系统一筛选出每年重要性最大的前22个指标作为相应年度关键影响因子,最终依据关键影响因子的变化趋势划分了3个阶段作了演进分析。结果发现：1980-1991年,碳强度的关键因子主要以高耗能产业规模及占比、化石能源占比和技术进步为主;1992-2007年,中国经济进入快车道增长时期,服务业占比和化石能源价格对碳强度的影响作用开始显现,居民传统消费的影响作用在增大;2008年全球金融危机后,中国进入经济结构深化调整时期,节能减排力度大大增强,新能源占比和居民新兴消费的影响作用迅速显现。为实现2030年碳强度下降60%~65%目标,优化能源结构和产业结构,促进技术进步,提倡绿色消费,强化政策调控是未来需要采取的主要措施。     

金沙江干热河谷不同植被坡面土壤水分时空分布特征

于2016年7~12月和2017年4月的旱、雨季期间,以金沙江干热河谷苴那小流域内的银合欢（Leucaena Benth）林地、车桑子（Dodonaea angustifolia）灌丛地和扭黄茅（Heteropogon cantortus）草地为研究对象,通过网格法和土钻法采集并测定了（0~100 cm）土层的土壤含水量,应用经典统计法和地统计学方法分析该区域不同林草植被下坡面土壤水分的动态变化特征。结果表明：（1）研究区土壤含水量总体较低,雨季显著大于旱季,旱、雨季均表现为灌丛地>草地>林地,呈中度至强度变异（0.07~0.28之间）。（2）不同林草植被下旱、雨季土壤水分具有相似的空间自相关性,自相关系数均由正向负转变,但由正向负转变的滞后距离有所不同,且雨季大于旱季,呈中等或强等空间自相关性。（3）不同林草植被下的土壤水分空间结构不同,林地、灌丛地和草地旱雨季最佳拟合模型均为球状模型;相同林草植被下各土层旱、雨季土壤水分的空间分布特征相似,但旱季的分布格局差异更显著,不同林草植被下深层土壤水分分布比表层土壤水分的分布更为复杂,土壤水分呈明显的斑块或条带状分布,含水量高值区和低值区位置不固定。总之不同林草植被类型会改变局部地段土壤水分空间分布,降雨会加强这种差异的趋势,但土壤水分仍具一定空间连续性。     

Monte Carlo simulation of scintillation crystal detector for formation element logging

Formation elements logging is a neutron gamma spectroscopy logging technique used to acquire the content of elements and minerals by recording the gamma ray produced by the reaction of neutron and elemental nucleus in the formation. It has a wide usage in discriminating complex lithology and evaluating unconventional reservoir. The Monte Carlo simulation model of formation elements logging tool is established in this paper, with which the effects of tool parameters including the material and length of the scintillation crystal and source spacing on logging responses are modeled. The results show that the energy response of LaBr_3: Ce crystal is better than others, and the detection efficiency increases with the crystal length but decrease with source spacing. The above results may be used as a reference for optimizing the tool structure design.     

Predicting the entire soil-water characteristic curve using measurements within low suction range

The soil-water characteristic curve(SWCC) is widely used in the design and evaluation in the practice of geotechnical and geoenvironmental engineering such as the slope stability under the influence of environmental factors. The SWCC has distinct features in the capillary and adsorption zones due to different physical mechanisms. Measurements of the SWCC are typically limited within the capillary zone(i.e., low suction range). It is cumbersome and time-consuming to measure the SWCC in the adsorption zone(i.e., high suction range). This study presents a simple method to predict the entire SWCC within both the capillary and adsorption zones, using measured data only from low suction range(e.g., from 0 to 500 kPa). Experimental studies were performed on a completely weathered granite residual soil to determine its entire SWCC from saturated to dry conditions. The resultant SWCC, along with the SWCC measurements of 14 soils reported in the literature, were used to validate the proposed method. The results indicate that the proposed method has good consistency with a wide array of measured data used in this study. The proposed method is easy to use as it only requires a simple parameter calibration for a commonly used SWCC model. It can be used to improve the reliability in the prediction of the SWCC over the entire suction range when measurements are limited within the low suction range.     

GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine

The loess area in the northern part of Baoji City, Shaanxi Province, China is a region with frequently landslide occurrences. The main aim of this study is to quantitatively predict the extent of landslides using the index of entropy model(IOE), the support vector machine model(SVM) and two hybrid models namely the F-IOE model and the F-SVM model constructed by fractal dimension. First, a total of 179 landslides were identified and landslide inventory map was produced, with 70%(125) of the landslides which was optimized by 10-fold crossvalidation being used for training purpose and the remaining 30%(54) of landslides being used for validation purpose. Subsequently, slope angle, slope aspect, altitude, rainfall, plan curvature, distance to rivers, land use, distance to roads, distance to faults, normalized difference vegetation index(NDVI), lithology, and profile curvature were considered as landslide conditioning factors and all factor layers were resampled to a uniform resolution. Then the information gain ratio of each conditioning factors was evaluated. Next, the fractal dimension for each conditioning factors was calculated and the training dataset was used to build four landslide susceptibility models. In the end, the receiver operating characteristic(ROC) curves and three statistical indexes involving positive predictive rate(PPR), negative predictive rate(NPR) and accuracy(ACC) were applied to validate and compare the performance of these four models. The results showed that the F-SVM model had the highest PPR, NPR, ACC and AUC values for training and validation datasets, respectively, followed by the F-IOE model.Finally, it is concluded that the F-SVM model performed best in all models, the hybrid model built by fractal dimension has advantages than original model, and can provide reference for local landslide prevention and decision making.     

塔北地区寒武系白云岩储层裂缝充填特征与有效性

塔里木盆地寒武系白云岩储层具有年代老、埋深大、成岩作用强烈的特征,原生孔隙几乎被破坏殆尽,有效裂缝的发育程度是决定储层优劣的关键因素。根据岩芯描述、薄片鉴定、FMI成像测井、扫描电镜、阴极发光、电子探针以及流体包裹体分析等研究手段,开展了塔里木盆地北部地区(简称"塔北地区")寒武系白云岩储层的裂缝充填特征及有效性分析。塔北地区整体裂缝发育,天山南地区与塔河地区裂缝在产状、线密度、形态以及充填特征上存在差异。天山南地区裂缝线密度与有效性均低于塔河地区,充填矿物主要为自形白云石与石英,其次为方解石、石膏与黄铁矿。充填白云石分为3期,对应的温度区间分别为70℃～90℃、90℃～110℃及110℃以上,均为地层内的成岩流体成因;充填石英分两期,第一期为黏土矿物转化蚀变形成,第二期可能为热液成因。塔河地区裂缝线密度高,有效性较好,溶蚀作用发育,是有利的勘探地区,其充填物以热液矿物组合形式出现,主要为方解石,其次为石膏、鞍状白云石、黏土矿物、沥青等,重晶石以交代白云石的形式出现。充填方解石分为4期,对应的温度区间分别为70℃～100℃、100℃～130℃、130℃～180℃及180℃以上,前3期充填为不同埋深时期地层内成岩流体成因,最后一期充填为自下部运移而来的高温热液流体成因。