Sensitivity Analysis of a Feedforward Neural Network for Considering Genetic Mechanisms of Kuroko Deposits

Exploration for volcanogenic massive sulfide deposits of the kuroko-type is underway in many places. Clarifying the spatial patterns of the metals in kuroko deposits will be useful for understanding their genetic mechanisms and for future exploration of such types of deposits. This study represents a spatial distribution analysis on the contents of principal metals of kuroko deposits: Cu, Pb, and Zn, in the Hokuroku district, northern Japan, by a feedforward neural network and 1917 sample data at 143 drillhole sites. The network, which consists of three layers, was trained by the principle of SLANS in which the numbers of neurons in the middle layer and training data are changed to improve estimation accuracy. Using the weight coefficients connecting adjacent neurons, sensitivity analysis of the neural network was carried out to identify factors influencing spatial distributions of the three metals. The coordinates depth (z) direction, Bouguer gravity, and specific lithology such as dacite were determined to be influencing factors. The high frequency of the z coordinate signifies that the metal contents differ to a large extent by depth. The sensitivity vector was defined using sensitivity coefficients for x, y, and z coordinates of an estimation point. We determined that the directions of large vectors were different inside and outside of the Hanawa-Ohdate area. This characteristic is considered to originate from the differences in the permeability of fractures that became the paths for rising ore solutions, and the depths that the solutions mixed with sea water.     

A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations

Mega-urban agglomerations are strategic core areas for national economic development and the main regions of new urbanization. They also have important roles in shifting the global economic center of gravity to China. However, the development of mega-urban agglomerations has triggered the interactive coercion between resources and the eco-environment. The interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations represent frontier and high-priority research topics in the field of Earth system science over the next decade. In this paper, we carried out systematic theoretical analysis of the interactive coupling mechanisms and coercing effects between urbanization and the eco-environment in mega-urban agglomerations. In detail, we analyzed the nonlinear-coupled relationships and the coupling characteristics between natural and human elements in mega-urban agglomerations. We also investigated the interactive coercion intensities between internal and external elements, and the mechanisms and patterns of local couplings and telecouplings in mega-urban agglomeration systems, which are affected by key internal and external control elements. In addition, we proposed the interactive coupling theory on urbanization and the eco-environment in mega-urban agglomerations. Furthermore, we established a spatiotemporal dynamic coupling model with multi-element, multi-scale, multi-scenario, multi-module and multi-agent integrations, which can be used to develop an intelligent decision support system for sustainable development of mega-urban agglomerations. In general, our research may provide theoretical guidance and method support to solve problems related to mega-urban agglomerations and maintain their sustainable development.     

我国再生资源企业布局省际差异分析

资源再生利用是循环资源的重要组成部分, 是连接资源与环境两大系统的纽带, 对提高资 源利用效率、缓解我国经济发展过程中的资源压力, 减少环境污染、实现可持续发展具有重要意 义。从事资源再生利用的企业则是资源回收再利用过程中最有生命力的组成部分, 对社会的贡献 具有不可替代的作用。研究我国再生资源企业布局、空间分布特征将有助于发现我国在建设“资 源节约型、环境友好型”社会过程中存在的问题, 为及时调整国家相关战略和政策提供可靠依据。 鉴于国内尚没有完整的资源再回收利用统计数据, 本文在我国资源回收与再利用企业调查的基 础上, 设计并开发了包括23 512 个企业在内的我国再生资源企业地理信息系统数据库。为探讨 我国再生资源企业的空间格局及其区域差异的原因, 选取人口总量、城市化水平以及交通运输条 件等14 个因子, 利用逐步回归方法系统分析了影响再生资源企业布局的因素。结果显示, 我国再 生资源企业的空间分布具有从沿海向内地带状分布的规律, 这种规律与经济发达、交通便利、政 策适宜等因素关系密切。资源回收与再利用产业统计工作和空间布局总体规划工作是我国社会 经济中的薄弱环节, 笔者建议启动对我国资源回收与再利用产业大调查计划, 并建议国家统计部 门将我国资源回收与再利用产业纳入到国家常年统计计划; 加强对我国资源回收与再利用产业 空间布局的规划, 及时出台相关的管理和扶持政策并加强标准和监管系统建设, 以减小产生负面 作用的风险。     

南疆尼雅地区4000a来的地化元素分布特征与古气候环境演化的初步研究

通过应用因子分析法对尼雅剖面中的多种地化元素和氧化物的分析,在R、Q型因子分析的基础上,提取出古气候信息。初步的研究表明:近4000a来,尼雅地区气候环境仍以干旱化为主,但此期间出现过多次不同程度的干湿变化,大致可分为5个气候期:4.0~3.0kaB P.相对暖干期;3.0~2.2kaB.P.相对冷湿期;2.2~1.6kaB.P.相对暖干期;1.6~1.0kaB.P.相对冷湿期;1.0kaB.P.左右之后的相对暖干期。     

长山群岛海洋农牧化海域环境分区研究

海洋农牧化就是要在海域中,对贝、藻、鱼、虾类生物资源进行人工养殖、增殖以提高资源量。从捕天然生物资源转变成为以捕增养殖资源为主的生产方式。通过对长山群岛海域发展海洋农牧化的海域环境以及海水的理化因子等进行评价,并对该海域海水增养殖的发展状况、养殖品种及构成变化特征进行了分析,最后,应用主成份-聚类分析方法,将长山群岛海域环境划分为三个海洋农牧化区域,为因海制宜、合理布局海水增养殖生产提供科学依据。     

More than planning: Diversity and drivers of institutional adaptation under climate change in 96 major cities

A key challenge for effective, ongoing urban climate adaptation is to adapt institutions within urban governance. While an extensive foundation of empirical knowledge on urban climate adaptation has accumulated over the last decade, our image of institutional adaptation continues to be dominated by a focus on planning. Whilst understandable, this can obscure a fuller range of areas in which institutional adaptation to climate change is being pursued. Furthermore, methodological path dependency in large-N analysis via a common focus on analyzing formal planning documents risks a skewed perspective as such documents may only offer a partial view. Building on the rich range of work to date assessing climate adaptation in cities, and notwithstanding continued major gaps such as in small-medium cities, we now need to find ways to examine the diversity of institutional adaptation occurring in practice, and to comparatively draw on the situated interpretive knowledge of case experts within individual cities to do so. With this aim in mind, this paper explores institutional adaptation in a specific domain (urban water) in a sample of 96 major cities across six continents through a survey of 319 case experts, examining the diversity of institutional adaptation across contexts and exploratively probing its drivers. Findings show that multiple forms of institutional adaptation are being jointly pursued in cities across all continents, leaning towards ‘softer’ rather than ‘harder’ forms, but nonetheless revealing a wide range of activity. Patterns in drivers suggest a political explanation for institutional adaptation (e.g. involving change agents and political pressure) rather than a rational one (e.g. involving response to climate-related risks and/or extreme events). Overall, there is a need to combine parsimony with expanded interpretive sensibility in advancing large-N research on institutional adaptation diversity in comparative perspective.     

1960-2012年西藏林芝气温和降水变化

基于1960-2012年日平均气温和日降水量数据,利用小波分析和Mann-Kendall突变分析方法,分析了西藏林芝气温和降水的变化特征。结果表明：林芝年平均气温增长速率0.028℃·a^-1;年平均气温受3~4 a尺度波动的影响,无明显主周期;年平均气温序列有3个突变点,分别是1972-1973年、1975-1976年和1977-1978年。年降水量增长率1.218 mm·a^-1;年降水量受4 a、10 a和20 a尺度波动的影响;有两个主周期,分别为2 a、19 a;年降水量序列有4个突变点,分别为1960-1961年、1965-1966年、1977-1978年、1982-1983年。     

由GOCE高低卫卫跟踪数据反演地球重力场的模拟研究

根据调和分析法、最小二乘法,建立利用扰动位数据解算地球重力场的实用数学模型。结果表明,采用不同数据量和不同采样率的观测数据对重力场模型解算结果有一定影响,不同分辨率的观测数据恢复重力场模型的精度差异较大,调和分析法精度优于最小二乘法。     

苏皖北部地区晚元古代地层的马尔柯夫链分析

本文运用数学地质理论中的马尔柯夫链分析方法,对苏皖北部地区及鲁西南地区晚元古代地层进行了初步研究。文中选择6条比较典型的剖面,分别对它们进行了转移概率、极限概率、差值阵、置换分析和熵分析等方面的计算,并对所得结果做了相应的地质解释。分析结果,从定量方面揭示出了晚元古代时期苏皖海盆基底的“波动”史及其上覆地层的主要沉积韵律类型,以及盆地内不同部位、不同时代岩性变化的主要趋势及其阶段性;并认为,在晚元古代早期苏皖海盆中很可能同时存在有南、北两个沉积中心,而并非像以往所认为的那样,只有一个沉积中心。     

灰色关联评价在矿区地下水水质分析中的应用

利用灰色系统理论的灰色关联分析方法,根据灰色关联矩阵提供的丰富信息对地下水水质进行综合评价。通过比较分析,灰色评价方法计算过程简单方便,又充分利用获得的信息,且结果直观可靠,是多因子综合评价较好的方法。