区域红壤资源信息系统的建立

将GIS技术与数学模型相结合,探讨区域红壤资源信息系统的建立与应用.在明确红壤资源信息系统研制的目的、任务与基本原则的基础上,进行系统的总体设计.划分系统的模块和确定系统的各个组成部分,并确定系统的软硬件配置、设计系统界面.建立空间数据库及多种分析与应用模型.     

黄浦江水系水质变化及原因分析

根据1986—2010年的水质监测数据,研究了黄浦江水系水质变化,并对影响水质的主要因素进行了探讨。结果表明,近25年的黄浦江水系水质变化基本可分为3个阶段:1986—1996年,上海市的畜牧业高速发展,生活污水量逐年上升,工业废水量较大而处理率低,水环境压力加大,水质持续恶化;1996—2002年,上游来水水质、生活污水量和畜牧业污染量均基本稳定,为水质改善创造必要条件,随着工业废水量的下降及废水处理能力的加强,水质持续改善;2002—2010年,上游来水水质在2002—2004年明显恶化,生活污水量再次进入快速上升期,加大了水环境改善的难度,水质改善趋势放缓并渐趋稳定。     

完善突发环境事件应急管理体系的几点建议

分析了我国突发环境事件中以预案、法制、体制和机制为核心的应急管理体系现状,分析了在"一案三制"体系建设中存在的问题,并对"一案三制"的应急管理体系建设提出了相关建议。     

A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a two-stage particle swarm optimization (PSO) algorithm. The grouping method of the shuffled frog leaping algorithm (SFLA) is incorporated in the basic PSO algorithm (PSO-SFLA), ensuring fast and accurate searching of the global extremum. An adaptive speed factor is also introduced into the improved PSO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional PSO method, and the power is improved by 33% under the worst PSCs, which confirms the superiority of the proposed method over the standard PSO algorithm in terms of tracking speed and steady-state oscillations under different PSCs.     

运用灰色GM（1,1）系统模型预测北京市污水排放量

北京市水资源开发利用已经超过了水资源承载能力范围,由此引发的水资源短缺问题日益严重.对污水的综合利用进行研究可以达到持续利用水资源的目的,解决水资源短缺问题.以北京市2005-2012年污水排放量资料为基础,运用灰色系统模型,对工业、生活污水排放量及总污水排放量进行了预测,分析北京市污水排放量走势及存在的问题,提出未来北京市污水综合利用的对策措施.     

Is there a material Kuznets curve for aluminium? evidence from rich countries

The paper tests the material Kuznets Curve (MKC) hypothesis with regard to aluminium consumption for 20 high-income countries over the period 1970 to 2009. The test is based on the suggestion of Narayan and Narayan (2010). Various unit root and cointegration tests are applied. The aluminium and GDP series are found to be integrated of order one and cointegrated. Additionally, the Blundell–Bond system generalized methods-of-moments (GMM) is employed to conduct a panel causality test in a vector error-correction mechanism (VECM) setting. Unidirectional causality running from real per capita GDP to the aluminium intensity is uncovered in both the short-run and long-run. While controlling for structural shocks, the MKC hypothesis is found to hold at individual levels for Austria, Canada, Denmark, Finland, Greece, Italy, Japan, and United Kingdom as well as for the whole panel. A 1% increase in GDP generates an increase of 0.87% in metal intensity in the short-run and a fall of 0.82% in the long-run for the panel.     

振动试验数据管理系统概述

随着近些年振动试验技术的快速发展,对于振动试验数据的保存、管理和统计提出了更高的要求。鉴于此,附属于试验室信息管理系统的振动试验数据管理系统作为振动试验有效的管理工具,必然会成为提升试验室振动试验能力、规范试验技术的有效工具。     

A Question of Boundaries: The Importance of “Revenuesheds” for Watershed Protection1

Patterson, Lauren A., Jeffrey Hughes, Glenn Barnes, and Stacey I. Berahzer, 2012. A Question of Boundaries: The Importance of “Revenuesheds” for Watershed Protection. Journal of the American Water Resources Association (JAWRA) 48(4): 838‐848. DOI: 10.1111/j.1752‐1688.2012.00655.x Abstract: Watersheds transcend jurisdictional boundaries; raising important questions of who should pay for watershed protection, and how can watershed governance be funded? The responsibility and cost for watershed protection has progressively devolved to local governments, resulting in additional negative externalities and financing challenges. Watershed governance structures have formed at the scale of the watershed, but they often lack the financing mechanisms needed to achieve policy goals. Financing mechanisms via local governments provide a reliable source of revenue and the flexibility to address watershed specific issues. We develop a “revenueshed” approach to access the initial challenges local governments face when seeking to finance trans‐jurisdictional watershed governance. The revenueshed approach engages local governments into discussion and implementation of financial strategies for collaborative watershed governance. Legislation places water quality regulations primarily on local governments inside the watershed. The revenueshed approach extends the financial and stewardship discussion to include local governments outside the watershed that benefit from the watershed. We applied the revenueshed approach to the Mills River and Upper Neuse watersheds in North Carolina. Mills River had a partnership governance seeking revenue for specific projects, whereas the Upper Neuse sought long‐term financial stability to meet new water quality legislation.     

矿区生态环境遥感监测数据库系统设计与实现

以肥城矿区为背景,基于Personal Geodatabase模型构建了空间数据库,采用C#作为开发语言,借助ArcGIS Engine的控件开发了矿区生态环境遥感监测数据库系统.根据数据获取方式不同,将空间数据库分为基础地理数据库、专题数据库、实地监测数据库和表格数据库4部分,系统实现了矿区空间数据和属性数据的统一存储和管理,多时相遥感数据的对比分析,水质、土壤湿度的动态监测,矿区各类地物面积的统计分析等功能.     

Projecting Climate Change Effects on Forest Net Primary Productivity in Subtropical Louisiana,USA

This study projected responses of forest net primary productivity (NPP) to three climate change scenarios at a resolution of 5 km × 5 km across the state of Louisiana, USA. In addition, we assessed uncertainties associated with the NPP projection at the grid and state levels. Climate data of the scenarios were derived from Community Climate System Model outputs. Changes in annual NPP between 2000 and 2050 were projected with the forest ecosystem model PnET-II. Results showed that forest productivity would increase under climate change scenarios A1B and A2, but with scenario B1, it would peak during 2011–2020 and then decline. The projected average NPP under B1 over the years from 2000 to 2050 was significantly different from those under A1B and A2. Forest NPP appeared to be primarily a function of temperature, not precipitation. Uncertainties of the NPP projection were due to large spatial resolution of the climate variables. Overall, this study suggested that in order to project effects of climate change on forest ecosystem at regional level, modeling uncertainties could be reduced by increasing the spatial resolution of the climate projections.