Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district,China: a multifractal perspective

Several power‐law relationships of geophysical potential fields have been discussed recently with renewed interests, including field value–distance () and power spectrum–wavenumber () models. The singularity mapping technique based on the density/concentration–area (C–A) power‐law model is applied to act as a high‐pass filter for extracting gravity and magnetic anomalies regardless of the background value and to detect the edges of gravity or magnetic sources with the advantage of scale invariance. This is demonstrated on a synthetic example and a case study from the Nanling mineral district, Southern China. Compared with the analytic signal amplitude and total horizontal gradient methods, the singularity mapping technique provides more distinct and less noisy boundaries of granites than traditional methods. Additionally, it is efficient for enhancing and outlining weak anomalies caused by concealed granitic intrusions, indicating that the singularity method based on multifractal analysis is a potential tool to process gravity and magnetic data.     

Assessment of Heavy Metal Contamination of Wetland Soils from a Typical Aquatic–Terrestrial Ecotone in Haihe River Basin,North China

Surface soils were collected in the aquatic–terrestrial ecotone (ATE) of Yongnianwa wetland, downstream of Haihe River basin of North China in June of 2007. Samples were subjected to a total digestion technique before they were analyzed for total concentrations of Cr, Cu, Ni, Pb, and Zn to investigate their pollution levels in the ATE. The contamination index, integrated contamination index, geoaccumulation index, toxic units, and sum of toxic units were adopted to assess the heavy metal contamination levels and ecotoxicity, respectively. The results showed all the selected element concentrations in upland soils of the ecotone were relatively higher than those in the lowland soils. No Cr pollution was observed in all soil samples, but almost all samples were slightly polluted by Cu, Ni, Pb, and Zn except for Site 1. The contamination indexes and geoaccumulation indexes consistently presented no contamination for Site 1 and slight contamination for other sites. The ΣTUs increased from lowland to upland, but the whole level of toxicity in this ecotone was relatively low.     

Quantitative failure metric for gravity dams

Quantitative failure monitoring is a critical tool for safety assessment of concrete dams. This includes damage occurrence, intensity, location, number, size, and propagation pattern. Such an assessment is essential for a quantifiable prioritization of repair and will thus reduce overall cost and improve safety. This paper will address this timely topic through the nonlinear transient analysis of a dam and failure will be ascertained through a multi‐scale damage index. A damage‐plastic model for mass concrete is used, Drucker‐Prager elasto‐plastic one for the foundation, and infinite elements are used for far‐field boundaries. Water‐dam interaction is accounted for through fluid finite elements. It is determined that the proposed damage indices can indeed provide a quantitative metric for the degree of failure in gravity dams in terms of the input dynamic motion. Copyright © 2014 John Wiley & Sons, Ltd.     

青藏高原蒸散年际变化及其对西风和季风环流的响应

在评估4种蒸散格点资料（GLDAS,GLEAM,MERRA-2,CRET）在青藏高原适用性的基础上,以精度最高的CRET（R²为0.83,RMSE为14.76 mm）及同期气象环境数据,在年际尺度上分析了青藏高原蒸散变化特征及其受大尺度西风和季风环流的影响.结果表明,青藏高原年平均蒸散为414.2±18.32 mm,具有明显的年际变率和变化趋势,且区域（西风区、季风区和过渡区）间差异明显.蒸散年际变化与西风和季风环流强弱的年际变化密切相关,且季风和西风对蒸散的影响存在显著的区域差异.西风和季风通过调节局地气候环境因子影响蒸散：土壤湿度、归一化植被指数（NDVI）和风速三个局地气候环境要素是青藏高原蒸散主要调控因子,蒸散与土壤湿度和NDVI呈显著正相关,与风速在高原西部呈显著负相关、在高原东部呈显著正相关;研究WYI（Webster-Yang Index）和WI（Westerly Index）与影响蒸散的主导气候环境因子的关系发现,WYI与土壤湿度和NDVI呈显著正相关,且WYI与NDVI的相关系数在高原中部和南部较大,使得WYI对蒸散影响在中部分过渡区和南部季风区较大,WI也与土壤湿度和NDVI呈显著正相关,但WI与NDVI的相关系数在中部和北部较大,WI对蒸散影响在中部过渡区和北部西风区较大,同时,WI与风速在大部分高原显著相关,WI在高原东部通过风速对蒸散变化具有正贡献,使得季风区东部蒸散年际变化也受WI影响,最终使得WI对蒸散的影响在除季风区西部以外的区域较大.该研究结果可加深认识青藏高原水循环变化及其机理,为区域水资源和生态系统管理提供科学依据.

     

基于贝叶斯方法的贵州高原百花水库水体营养盐变化及评价(2014—2018年)

为了确定百花水库营养盐变化特征,选取百花水库5个监测点2014年1月-2018年7月共28个月份的水质实测数据,分析溶解氧、高锰酸盐指数、氨氮、总磷和总氮的年际变化特征.采用基于熵权法赋权的贝叶斯理论对5个监测点的水质综合状况进行评价,并结合水库的实际状况,从生态修复、工业污染源、沉积物中营养盐、水库季节性热分层及农业与生活污染源5个方面对其水质变化的影响因素进行分析.结果表明:2014-2018年水体环境波动较大;除总氮外,各污染指标浓度均有不同程度的下降;综合水质后验概率表明百花水库水质有逐渐变差的趋势;总氮和总磷治理应成为百花水库污染治理的主要方面;生态修复工程的开展和工业污染源的削减是百花水库水质转好的主要影响因素,农业与生活污染源的增加是百花水库水质转差的主要影响因素.     

半干旱地区水资源承载能力研究——以松嫩平原西南部霍林河流域为例

水资源的合理开发利用与否是影响社会经济发展的瓶颈。以霍林河流域为研究对象,对该流域特征及其生态环境问题进行了分析,构建了水资源承载力研究的指标体系,该体系包括水资源形成的自然条件、开发利用及社会经济因素3个方面9项指标。应用因子分析法对流域内各县市水资源承载能力进行定量评价,结果表明,霍林河流域从上游到下游,水资源承载能力主要受水资源形成条件和开发利用强度的影响,水资源承载能力评价是水资源可持续利用的关键。     

采动煤岩渗透率演化模型及数值模拟

为描述采动煤岩渗透率演化过程,引入强度退化指数,基于Hoek-Brown强度准则,建立了考虑围压影响的煤岩应变软化力学本构模型。给出了体积应变和渗透率的关系方程,结合应变软化模型建立了采动煤岩渗透率演化模型,并在FLAC下予以实现。通过数值模拟研究了不同围压下圆柱岩样的峰后应变软化力学行为和某煤矿工作面开采过程中煤岩的渗透率演化过程,结果表明：（1）该模型能较好地反映围压对煤岩峰后应变软化行为的影响;（2）随着工作面推进,越来越多的煤岩单元破坏,渗透率也不断增长,逐渐成为瓦斯等流体运移的主要通道。（3）模型能再现采动煤岩渗透率演化的动态过程,从而为煤与瓦斯共采、煤层瓦斯抽放和瓦斯灾害防治提供指导。     

海相黏性土状态与直接快剪试验指标的经验关系

通过对大连海域第四系全新统海相黏性土385组试验数据的统计与分析,建立了第四系全新统海相黏性土(Q4m)液性指数IL与直接快剪试验指标-黏聚力Cq、内摩擦角q的经验关系,即Cq=10.623 I-1.8114L; q=-3.8289ln(IL)+5.8634。     

山西离柳矿区奥陶系灰岩水环境质量分区及成因研究

本文对离柳矿区奥陶系灰岩岩溶地下水的环境质量进行了评价和分区，结合地质条件简述了各区的特点；还用地质－水文地质学相结合的理论，对各环境质量区形成的原因，进行了分析和研究，进而从理论上证明环境质量分区和选用标准的合理性。     

Heavy metals in marine sediments of Taranto Gulf (Ionian Sea, Southern Italy)

Al, Cr, Cu, Fe, Hg, Mn, Ni, Pb, Ti and Zn concentrations have been determined in surface sediment samples collected in the Taranto Gulf (Ionian Sea, Southern Italy) in order to evaluate their levels and spatial distribution in this important area of the Mediterranean Sea. For various metals, the geoaccumulation index has been calculated as a criterion to assess if their concentrations represent contamination levels or can be considered as background levels. The results show that metals concentrations in sediments can be considered near the background levels found in the Mediterranean Sea.Analytical results have been elaborated by using a Geographical Information System (GIS) software to show metals accumulation areas. Using multivariate statistical analysis, we evaluate the possibility to distinguish the sampling stations, in relation to their geographical position. Results have showed metals distribution in the Taranto Gulf is principally influenced by industrial and urban wastes, located mostly in the northern coastal area of the Ionian Sea. Rivers in the Basilicata region and prevailing anticlockwise marine currents are further factors influencing metal accumulation in sediments.