地壳风化速率研究综述

地壳风化速率研究的理论基础是质量守恒原理和溶液与矿物反应动力学法则。元素在风化过程中的行为受多种因素控制，主要包括基岩风化量、大气沉降量、径流量、生物的输出数量和人为输入量（如施肥）。硅酸盐矿物化学风化过程中，矿物与溶液之间总的化学反应速率是单个反应速率之和，其中涉及到 3个关键参数，即：酸中和能力（ANC）、基本阳离子/无机铝（BC/Al无机）比值和临界负荷（CL）。风化速率的研究主要采用四种方法，即PROFILE模型、基本阳离子损耗、元素输入-输出指数和Sr同位素比值等。PROFILE模型是一个稳定态的综合土壤化学模型，矿物的分解速率、矿物的暴露表面积、土壤水饱和度和土壤层厚度决定着该矿物的风化速率，总的风化速率为各种矿物的风化速率之和。元素损耗，主要是基本阳离子（Ca、Na、K和Mg）的损耗，假设Ti、 Zr和Nb在成土过程中含量稳定并不参与风化反应，那么对于给定的土壤层，化学风化损耗的基本阳离子可以通过比较土层与成土母质之间元素组成的差异来计算。输入-输出指数的假设前提是研究的流域处于稳定状态，一般认为输入指数是大气沉降，输出指数是河流搬运溶解部分、悬浮的非岩屑成因部分和生物营养净吸收部分。Sr同位素在生物和化学作用过程中并不分馏，不同生态系统阳离子场中Sr同位素组成是大气和矿物风化来源的Sr的混合物。     

大型地下洞室群地震动输入机制探讨

当前地下工程地震稳定性分析中对地震响应规律研究较多,而对分析中地震动输入机制研究则明显不足。本文针对这一现状,对大型地下洞室群地震响应分析中的地震动输入机制进行了一定的讨论。首先提出将分析中所涉及的地震动分为指定的实测强震记录、优选的实测强震记录、人工地震波3类,分别讨论了每种地震动的选取方法,形成了一套实用性较强的选取流程。随后提出了对设计地震动基准面(点)的建议,并研究了基于基准面(点)的人工边界输入地震动量值的确定方法,形成了适用于高山峡谷地形下大型地下洞室群地震动输入方法。将上述地震波的合理选取方法和高山峡谷地形下大型地下洞室群地震动的输入方法相组合,最终形成了一套可操作性较强的高山峡谷地形下大型地下洞室群地震动的输入机制。最后以白鹤滩水电工程地下洞室群为工程实例,对本文提出的地震动合理选取方法和高山峡谷地形下大型地下洞室群地震动的输入方法进行了工程应用,表明本文的方法为工程抗震设防分析提供了优质的地震输入参数。     

湖、库水体N2O排放研究进展

湖、库水体是重要的N₂O排放源,在全球氮素循环及全球气候变化中具有重要作用.本文综述了目前有关湖、库水体N₂O排放研究进展,重点介绍湖、库水体N₂O产生和排放的过程、不同时空尺度的排放特征、N₂O排放的影响因子框架及监测方法.湖、库水体N₂O不仅源于内部微生物硝化作用、反硝化作用、硝化-反硝化耦合作用、脱氮作用以及极少数底栖无脊椎动物代谢过程,同时流域上游河流汇入、地表径流输入、污水排放以及地下水排泄等构成湖、库水体N₂O的重要外源,但目前对内源/外源的相对贡献的定量化研究不足;湖、库水体N₂O排放方式包括扩散、植物传输及少量气泡排放,对水库而言,大坝下游水电涡轮机形成的脱气作用可能是N₂O排放的潜在途径.对文献综合分析表明,湖、库水体N₂O排放通常呈现明显的季节变化（夏季>冬季）和日变化,同时在全球（一般低纬度>高纬度）、区域及水体内部等不同尺度上表现出显著的空间变异性;这种时空变异特征主要受到湖、库自身理化因子（温度、营养盐、溶解氧、C/N、水文）、生物因子（水生植物、藻华）以及陆域人类活动（污水排放、农业活动以及城市化等）的影响;湖、库N₂O排放不同监测方法的差异也是潜在的影响因素,传统的漂浮箱法和薄边界层法均可能低估水体N₂O排放通量,未来需将传统的监测方法与新型的涡度相关法相结合,减小监测方法的不确定性.结合当前湖、库水体N₂O排放的研究不足,建议未来可以从湖、库N₂O产生的微生物机制,区域尺度上人类活动与湖、库群N₂O排放的耦合关系,水陆交错带的产、排过程,变化环境下的湖、库N₂O排放以及监测方法等方面深入研究.     

地壳破裂型式和幔根构造间断面形成的成矿控制(英文)

尽管地壳最上部的构造、岩性和地球化学条件控制着内生金属矿床的就位,然而最大量金属富集的地点和空间分布却常被幔根构造间断面（ｍａｎｔｌｅ ｒｏｏｔｅｄｓｔｒｕｃｔｕｒａｌｄｉｓｃｏｎｔｉｎｕｉｔｙ）所控制。这些构造间断面延长几百到几千ｋｍ,这表明它们是在比地壳最上部更为均质环境的应力分布下产生的。这些构造间断面与其它的近于垂直的深部构造的交切面界定了主要的岩石圈块体并提供了热、岩浆和成矿流体上升的通道。金属趋向于富集在这些块体的角上,以及构造间断面与板块边缘、裂谷构造或造山带的穿插部位。对上述组合型式的幔根构造间断面和它们在地表地质投影的识别,可确定金属聚集有较大潜力的靶区。文章还提供了来自不同地质环境的实例。     

Economic vulnerability to Peak Oil

Peak Oil, which refers to the maximum possible global oil production rate, is increasingly gaining attention in both science and policy discourses. However, little is known about how this phenomenon will impact economies, despite its apparent imminence and potential dangers. In this paper, we construct a vulnerability map of the U.S. economy, combining two approaches for analyzing economic systems, i.e. input–output analysis and social network analysis (applied to economic data). Our approach reveals the relative importance of individual economic sectors, and how vulnerable they are to oil price shocks. As such, our dual-analysis helps identify which sectors, due to their strategic position, could put the entire U.S. economy at risk from Peak Oil. For the U.S., such sectors would include Iron Mills, Fertilizer Production and Transport by Air. Our findings thus provide early warnings to downstream companies about potential ‘trouble’ in their supply chain, and inform policy action for Peak Oil. Although our analysis is embedded in a Peak Oil narrative, it is just as valid and useful in the context of developing a climate roadmap toward a low carbon economy.     

EU corporate action as a driver for global emissions abatement: A structural analysis of EU international supply chain carbon dioxide emissions

Global greenhouse gas emissions driven by European consumption increasingly occur outside European borders. These non-European sources of emissions remain linked to Europe via the international supply chains of European companies. Leading companies are now measuring their supply chain emissions and taking tentative steps to reduce them. If such activities were to become widespread, then an opportunity may exist for European industry to drive significant emissions abatement beyond European borders. This paper provides the first analysis into the maximum potential influence European industry has over its non-European supply chain emissions. The analysis is performed at the level of aggregate industry sectors using a global Multi-Regional Input–Output model. The Total Consumption Attribution method is used to estimate the potential influence of different European industries with detailed decompositions carried out using Structural Path Analysis techniques. The potential influence of European industry over non-European supply chain emissions is found to be greater than one gigatonne of carbon dioxide. The European manufacturing sector is found to have the greatest potential influence over non-European emissions via relatively short supply chains that entail few international border crossings. The results presented in this paper provide initial evidence in support of the development of European climate policies aimed at stimulating supply chain emissions reductions activities within European companies     

Preliminary research on CBM enrichment models of low-rank coal and its geological controls: A case study in the middle of the southern Junggar Basin,NW China

To date, prospecting work on low-rank coalbed methane (CBM) resources in the middle of the southern Junggar Basin is still in the primary stage, and only a few CBM exploration wells or pilot wells have been deployed in local regions. Systemic understanding of CBM reservoir-forming conditions and geological controlling factors is lacking in the study area, resulting in the mismatch between CBM well deployment and actual geological conditions, as well as poor exploration efficiency. In this paper, the geological controlling effects of the structure, sedimentation, and hydrogeology on CBM enrichment are systematically discussed for the first time, based on the early CBM exploration achievements. The results show that the Xishanyao coal and the Badaowan coal are developed in the upper and lower part of the neutral surface of a fold, respectively. The reservoir-forming conditions of the Badaowan coal are not discussed in this paper due to its poor development. The Xishanyao coal that developed in the axial part of the syncline is most beneficial to CBM enrichment with concentrated extrusion stress and great methane adsorption capacity, while the axial part of the anticline is not favorable for CBM preservation with large tensional stress. The gas content of the Xishanyao thick seams developed in the syncline is higher (average of 4.63–6.34 m³/t) than that in the monocline (average of 2.84–4.56 m³/t). Reverse faulting is more beneficial to CBM enrichment than normal faulting, due to the better sealing capability. The gas content of the Xishanyao coal is obviously influenced by the coal thickness and its roof lithology. The hydrodynamic conditions and total dissolved solids (TDS) values of coalbed water range greatly on regional scale, which leads to a deeper methane weathering zone in the middle-west areas (>1119.62 m) than the eastern Liu-huanggou areas (<501.71 m) and have an important influence on exploration target optimization of CBM exploration wells. Combined with the geological characteristics of the structure, sedimentation and hydrogeology, three CBM enrichment models are proposed in this paper (i.e., broad fold model, northward monocline model and overlying composite model). The reservoir-forming processes and development positions of these CBM enrichment models are discussed systematically to provide a scientific basis for selecting CBM exploration target zones.     

The effects of sewage discharge on shallow hard substrate sessile assemblages

On rocky shores, sewage discharges can modify natural distribution patterns of sessile organisms. The impact of sewage on shallow hard substrate assemblages has been assessed along SW Apulian coast (Ionian Sea, Italy), providing a framework to evaluate the benefits of future sewage displacement to deeper waters. Four locations (three controls and one putatively impacted) were selected and three sites were chosen at each location. Each site was sampled by 10 replicate photographic records. Univariate analyses revealed that the outfall did not affect the spatial distribution of number of taxa, total cover and abundance of some dominant taxa (mostly algae, sponges and bryozoans). The outfall negatively influenced the natural distribution pattern of filamentous green algae, whilst some algae (i.e. Gelidiales and Colpomenia sinuosa) were exclusively present at the impacted location. Multivariate analyses revealed that the outfall heavily modified the natural pattern of variability in the structure of the assemblage.     

气象产品综合输入输出系统

本文介绍气象产品综合输入输出系统的特点、结构及功能，对综合多种气象产品输入输出业务集于一种人机交互界面中的技术要点及其运行环境要求进行了探讨。关键词：##4气象产品;;中文菜单;;节目库;;输入输出     

Environmental controls on lambing rate in Patagonia (Argentina): A regional approach

Sheep herd sustainability in Patagonia is limited by reproductive efficiency. As the herds graze on natural vegetation year round, efficiency is constrained by biophysical factors. Our aim was to characterize the environmental controls over effective lambing rate in northwest Patagonia. We related remotely sensed data [surface temperatures and Normal Difference Vegetation Index (NDVI), a surrogate for forage availability] and climatic information to lambing rates. A spatial model explained 63% of the variability in mean lambing rate, based on mean annual NDVI and mean spring surface temperature. The relative inter-annual variability in lambing rates was of similar magnitude to that of annual NDVI. Both lambing rate and NDVI were less variable than climatic factors. Two regional temporal models explained approximately 25% of the variability, based on NDVI values representative of ewes’ nutrition during late gestation and lambing. These models predicted, with 65% and 76% accuracy respectively, the occurrence of better-than-average and worse-than-average yearly lambing rates. These results provided insights into the factors limiting reproduction, and they form the basis for important decision tools for ranch managers. Prediction of lambing rates based on remotely sensed data will reduce the uncertainty and risk in sheep production, increasing the economic sustainability of sheep production.