新旧动能转换视角下山东省土地资源保障能力研究

充分认识山东省土地资源利用所面临的形势,是保障经济社会新旧动能有序转换的基本问题。土地资源与新旧动能转换存在着相互渗透、相互促进的关系,土地资源以宏观调控的方式,促进新旧动能的有序转换,是保障新旧动能有序转换的有效手段;新旧动能转换又是土地资源管理、利用和保护的内在需求。该文从新旧动能转换基本概念出发,深入剖析了二者之间的相互关系,从土地利用方式、土地利用结构和布局、土地质量和土地生态环境四个方面,分析了新旧动能转换对土地保障能力的要求,探究了土地资源利用管理中的旧动能和新动能,总结归纳土地资源管理、利用和保护对经济发展的新旧动能转换的作用,提出了保障新旧动能有序转换的措施。     

Vector method to compute the Cartesian (X, Y, Z) to geodetic ({\phi}, λ, h) transformation on a triaxial ellipsoid

The vector-based algorithm to transform Cartesian (X, Y, Z ) into geodetic coordinates (, λ, h) presented by Feltens (J Geod, 2007, doi:) has been extended for triaxial ellipsoids. The extended algorithm is again based on simple formulae and has successfully been tested for the Earth and other celestial bodies and for a wide range of positive and negative ellipsoidal heights.     

MATHEMATICAL GEOLOGY

正20142560Hu Hongxia(Regional Geological and Mineral Resources Survey of Jilin Province,Changchun 130022,China);Dai Lixia Application of GIS Map Projection Transformation in Geological Work(Jilin Geology,ISSN1001-2427,CN22-1099/P,32(4),2013,p.160-163,4illus.,2refs.)     

非均匀地基与均匀地基一维固结解答之间的转换关系

基于一维固结理论,研究了土层物理力学性质沿深度非均匀连续变化的固结问题。首先,利用分离变量法,获得了渗透系数和压缩系数随深度按指数函数变化的非均匀地基一维固结方程的解析表达式; 然后与Terzaghi固结理论的经典解答进行了比较,获得了两种解答之间的相似转换关系。这样,非均匀地基固结问题就可以用相同荷载以及边界条件下的均匀地基固结的经典解线性表示。因此,非均匀地基固结问题的求解转化为对相似转换系数的计算。该系数集中反映土层非均匀性对地基固结的影响,从而为解决非均匀地基一维固结问题提供了便捷途径。     

Generation characteristics of Mesozoic syn- and post-rift source rocks,Bonaparte Basin,Australia: New insights from compositional kinetic modelling

Potential source rocks on the Laminaria High, a region of the northern Bonaparte Basin on the North West Shelf of Australia, occur within the Middle Jurassic to Lower Cretaceous early to post-rift sequences. Twenty-two representative immature source rock samples from the Jurassic to Lower Cretaceous (Plover, Laminaria, Frigate, Flamingo and Echuca Shoals) sequences were analysed to define the hydrocarbon products that analogous mature source rocks could have generated during thermal maturation and filled the petroleum reservoirs in the Laminaria High region. Rock-Eval pyrolysis data indicate that all the source rocks contain type II–III organic matter and vary in organic richness and quality. Open system pyrolysis-gas chromatography on extracted rock samples show a dominance of aliphatic components in the pyrolysates. The Plover source rocks are the exception which exhibit high phenolic contents due to their predominant land-plant contribution. Most of the kerogens have the potential to generate Paraffinic–Naphthenic–Aromatic oils with low wax contents. Bulk kinetic analyses reveal a relatively broad distribution of activation energies that are directly related to the heterogeneity in the kerogens. These kinetic parameters suggest different degrees of thermal stability, with the predicted commencement of petroleum generation under geological heating conditions covering a relatively broad temperature range from 95 to 135 °C for the Upper Jurassic−Lower Cretaceous source rocks. Both shales and coals of the Middle Jurassic Plover Formation have the potential to generate oil at relatively higher temperatures (140–145 °C) than those measured for crude oils in previous studies. Hence, the Frigate and the Flamingo formations are the main potential sources of oils reservoired in the Laminaria and Corallina fields. Apart from being a reservoir, the Laminaria Formation also contains organic-rich layers, with the potential to generate oil. For the majority of samples analysed, the compositional kinetic model predictions indicate that 80% of the hydrocarbons were generated as oil and 20% as gas. The exception is the Lower Cretaceous Echuca Shoals Formation which shows the potential to generate a greater proportion (40%) of gas despite its marine source affinity, due to inertinite dominating the maceral assemblage.     

光照和盐度对海水介质中磷化氢转化的影响

通过室内模拟实验,研究了光照和盐度对海水介质中磷化氢转化的影响。结果表明,不同光照条件下磷化氢转化率有明显差异,按对磷化氢转化促进作用由大到小排列依次为：UVC〉UVB〉日光〉UVA〉避光条件,单位辐照强度的UVC比UVB更能促进磷化氢的转化。在实验体系中加入臭氧、过碳酸钠的实验进一步验证自由基反应对磷化氢转化有促进作...     

Recurring droughts or social shifts? Exploring drivers of large-scale transformations in a transformed country

As climate change intensifies, the need for large-scale transformations that reform vulnerable systems’ prevailing values and development pathways is increasingly recognized. However, there is limited understanding of the factors that underlie such changes. This study sheds light on these factors by examining the case of Israel – a largely arid to semi-arid country with highly scarce natural water resources and a historical rural-agricultural ideology. Adopting an historically-informed systems perspective, I analyze two transformations that diminished Israel’s vulnerability to recurring droughts: the 1960s’ economic transformation from agriculture to industry, and the shift to seawater desalination in the mid-2000s. These changes are examined using causal-loop diagrams based on multiple data sources, including archival records, statistical reports and a systematic review of grey and academic literature.The findings show that both transformations, instigated by state institutions during exceptionally severe droughts, were driven by shifts away from development paradigms embedded in the nation-building ideology, as well as by social stresses that exceeded the natural limits of the agricultural system and water supply system. Repeated drought shocks activated and later reactivated the shift to desalination, intended to a certain degree to reduce drought vulnerability. However, drought did not significantly affect the economic transformation, initiated mainly due to saturation in agricultural development. Thus, I argue that alongside concerted adaptation efforts state institutions should dedicate greater attention to the management of broader social challenges and crises in a manner that fosters greater resilience against future climate changes. Ideological shifts and consequent restructuring of development paths, as well as the interaction between population growth and limited natural resources, may constitute important entry points. These entry points are particularly pertinent to emerging economies in other dry areas, many of which face similar social and economic trends to those experienced in Israel over the last decades.     

Bringing resilience-thinking into water governance: Two illustrative case studies from South Africa and Cambodia

Resilience is a multidimensional concept that is increasingly used to understand environmental change in hydrological systems. Yet, the current discussion about water governance and resilience remains relatively limited, with resilience typically seen as a normative outcome for governance (i.e., to be resilient against change). Using a theoretical multiplicity approach, we explore how the theories of social-ecological systems (SES), resilience and interactive (water) governance can provide new insights for water governance studies. We propose a resilience–governance framework that captures the partly overlapping but distinct characteristics from these three theories. The framework aims to develop a more nuanced way of using resilience-thinking for water governance, viewing resilience as a function of three capacities (absorptive, adaptive and transformative capacity) and noting the simultaneous existence of three interpretations for resilience (as a property, process and outcome) across different scales. The framework also considers issues of power and equity, which are often missing from resilience framings. We illustrate the framework with two case studies – the Tonle Sap Lake in Cambodia and a small sub-catchment of the Limpopo River Basin in South Africa – to provide two distinct examples of the possibilities of resilient governance. Finally, we consider what the framework suggests more broadly for ongoing discussions around resilience and water governance, including the possibilities for governance to also ‘bounce forward’ – i.e., transform – to a new, improved state. We argue that resilience-thinking may be valuable in understanding governance characteristics and guiding governance processes, in addition to seeing resilience (just) as a normative end-goal. In this way, the article supports an epistemological shift away from focusing on institutional structure, towards capturing the dynamic processes within governing systems.     

新时代高等职业教育地质类专业转型发展的思考

我国地勘行业正在进行转型升级的深刻变革,高等职业教育地质类专业应根据产业转型升级的现实需要,灵活地设置与调整专业,实现专业与产业的良性互动。然而,在当前我国高职院校地质类专业建设过程中,内涵建设欠缺,专业特色不足,同质化现象突出,专业与产业缺乏有效衔接。因此,应根据地勘行业转型升级的需求和自身的实际,积极探索专业转型建设之路,树立与产业转型升级相适应的专业建设新理念,提升专业服务经济社会发展、服务产业发展的能力,提升学生的职业发展能力。     

Bayesian approach for calibrating transformation model from spatially varied CPT data to regular geotechnical parameter

Cone Penetration Test (CPT) is widely utilized to gain regular geotechnical parameters such as compression modulus, cohesion coefficient and internal friction angle by transformation model in the site investigation. However, it is challenging to obtain simultaneously the unknown coefficients and error of a transformation model, given the intrinsic uncertainty (i.e., spatial variability) of geomaterial and the epistemic uncertainty of geotechnical investigation. A Bayesian approach is therefore proposed calibrating the transformation model based on spatial random field theory. The approach consists of three key elements: (1) three-dimensional anisotropic spatial random field theory; (2) classifications of measurement and error, and the uncertainty propagation diagram of geotechnical investigation; and (3) the unknown coefficients and error calibration of the transformation model given Bayesian inverse modeling method. The massive penetration resistance data from CPT, which is denoted as a spatial random field variable to account for the spatial variability of soil, are classified as type A data. Meanwhile, a few laboratory test data such as the compression modulus are defined as type B data. Based on the above two types of data, the unknown coefficients and error of the transformation model are inversely calibrated with consideration of intrinsic uncertainty of geomaterial, epistemic uncertainties such as measurement errors, prior knowledge uncertainty of transformation model itself, and computing uncertainties of statistical parameters as well as Bayesian method. Baseline studying indicates the proposed approach is applicable to calibrate the transformation model between CPT data and regular geotechnical parameter within spatial random field theory. Next, the calibrated transformation model was compared with classical linear regression in cross-validation, and then it was implemented at three-dimensional site characterization of the background project.