DMSP/OLS夜间灯光数据在城镇体系空间格局研究中的应用与评价——以近16年江西省间城镇空间格局为例

通过分析1994～2009年16 a逐年DMSP/OLS的静态平均灯光数据的DN值分布情况,考虑实际空间格局分布数据需求和数据质量,选择1994、2000、2005、2009年4个年度为代表,进行江西省城镇空间格局分布应用研究,并对数据质量进行评价。结果表明：1994～2009年度江西省城镇建设用地总量数值尽管与统计数据之间存在一定的波动,但总体扩展趋势基本一致;在城镇化增长速度上,2000～2005年比1994～2000年大29.53%,2005～2009年比1994～2000年大4357%,说明江西省城镇化发展正逐步提速,并有加快发展的趋势;景观指数分析表明江西省城镇化扩张过程中,面积越来越大,城镇间聚集度越来越高,相互影响也越来越大;城镇化形状越来越复杂;城镇间联系越来越紧密,破碎度逐步减小,城镇斑块形状变化逐步加大,发展无序程度加重。最后,针对江西省城镇空间格局发展现状,研究提出了积极发展中型城市、集约化发展特大城市、稳步扩大小城镇发展规模的建议     

An Analysis of Water Data Systems to Inform the Open Water Data Initiative

Improving access to data and fostering open exchange of water information is foundational to solving water resources issues. In this vein, the Department of the Interior's Assistant Secretary for Water and Science put forward the charge to undertake an Open Water Data Initiative (OWDI) that would prioritize and accelerate work toward better water data infrastructure. The goal of the OWDI is to build out the Open Water Web (OWW). We therefore considered the OWW in terms of four conceptual functions: water data cataloging, water data as a service, enriching water data, and community for water data. To describe the current state of the OWW and identify areas needing improvement, we conducted an analysis of existing systems using a standard model for describing distributed systems and their business requirements. Our analysis considered three OWDI‐focused use cases—flooding, drought, and contaminant transport—and then examined the landscape of other existing applications that support the Open Water Web. The analysis, which includes a discussion of observed successful practices of cataloging, serving, enriching, and building community around water resources data, demonstrates that we have made significant progress toward the needed infrastructure, although challenges remain. The further development of the OWW can be greatly informed by the interpretation and findings of our analysis.     

Identification of Putative Geographically Isolated Wetlands of the Conterminous United States

Geographically isolated wetlands (GIWs) are wetlands completely surrounded by uplands. While common throughout the United States (U.S.), there have heretofore been no nationally available, spatially explicit estimates of GIW extent, complicating efforts to understand the myriad biogeochemical, hydrological, and habitat functions of GIWs and hampering conservation and management efforts at local, state, and national scales. We used a 10‐m geospatial buffer as a proxy for hydrological or ecological connectivity of National Wetlands Inventory palustrine and lacustrine wetland systems to nationally mapped and available stream, river, and lake data. We identified over 8.3 million putative GIWs across the conterminous U.S., encompassing nearly 6.5 million hectares of wetland resources (average size 0.79 ± 4.81 ha, median size 0.19 ha). Putative GIWs thus represent approximately 16% of the freshwater wetlands of the conterminous U.S. The water regime for the majority of the putative GIWs was temporarily or seasonally flooded, suggesting a vulnerability to ditching or hydrologic abstraction, sedimentation, or alterations in precipitation patterns. Additional analytical applications of this readily available geospatially explicit mapping product (e.g., hydrological modeling, amphibian metapopulation, or landscape ecological analyses) will improve our understanding of the abundance and extent, effect, connectivity, and relative importance of GIWs to other aquatic systems of the conterminous U.S.     

以他国为例兼论数据促进我国环境部门资源整合与开发

文章介绍并论述了欧美及俄罗斯、日本等国家环境及其相关部门的职责及其工作。其部分工作体现了其综合性、前端性、支撑性、服务性。国情不同,相关事务自然不能一概而论。但他国以环境为资源,用数据科学的思想、方法对环境资源进行统筹、分析、挖掘,其实践思路和实践也许有借鉴的可能。并指出,我国在借鉴之中,或可加强政府部门之间、社会盈利与非盈利组织之间、政府部门与社会组织之间、以及个人之间的合作,通过数据公开、数据共享,从而降低成本,进行数据挖掘、利用,协力解决环境与人和谐共生问题,同时激发新的经济增长点。真正体现数据来源于自然、来源于人;同时形成数据资源这一新资源,保护并服务于自然与人。     

环境管理的信息化视角——美国环境信息生命周期模型研究

有效、可靠的数据和信息是环境管理的基础和主线,是政府部门确定环境管理目标、衡量进展以及同所有利益相关方共享信息的基础。美国环保局(EPA)从整体视角和跨学科观点提出环境信息生命周期模型,能够更好地理解环境信息的生产者、管理者、提供者和使用者等不同角色的作用。本文介绍了环境信息生命周期模型的各环节和要素,包括政策、规划和项目,数据采集和管理,信息交换和共享,信息管理,发现、获取信息,理解、使用信息,用户/公众反馈等,用于评估环境管理业务的数据和信息需求,帮助提高数据质量,增强公众获取环境信息的能力。环保部门需要关注数据质量的不确定性以及不同部门之间缺乏信息共享的问题,将环境信息生命周期的方法融入中国的环境管理和信息化建设,将提高环境数据的质量和政府透明度。本文针对中国的环保信息化建设提出了若干政策建议。     

Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach

This paper computes and analyses, for the first time, environmental efficiencies in waste generation of 116 European regions in NUTS 2 level in five European countries over the period of 2008–2010. For this reason, different data envelopment analysis (DEA) model formulations are used for modeling the pollutant in the form of waste generation as a regular output and as a regular input. In the latter case, we also use the notion of eco-efficiency. The empirical findings reveal environmental inefficiencies among the regions, indicating the lack of a uniform regional environmental policy among the European countries. This finding is observed not only for regions between different countries but also among the regions within countries, implying the need for implementation of unified appropriate municipal environmental policies in waste management.     

Knowledge-based system,equipped with cluster analysis for eco-material selection: an automobile structure case study

The aim of this study is to develop a material selection framework structured around a knowledge-based system (KBS). Specifically, a hybrid data mining technique is employed to extract knowledge from large datasets using cluster analysis techniques; the mined knowledge then serves as the inference logic within the KBS designed for material selection purposes. Cluster analysis results are used as a basis for the tree-based structure of the KBS where if–then rules are developed based on the general cluster properties; that is, inference logic is structured in a way such that it can predict general sustainability characteristics of the material as well as its exact mechanical, cost and physical properties. To develop the structure of the KBS, the selection structure employs sustainable material indices. Additionally, the proposed material selection model of the KBS is purposefully composed of material sustainability, functionality and cost indices. The constructed knowledge is then demonstrated for selecting automobile structural panels.     

基于大数据分析的大气网格化监测质控技术研究

基于对现阶段中国环境空气的污染特征及监测手段进行分析,研究了如何采用传感器技术进行大气污染防治网格化监测。对标物校准、训化校准、自适应校准、传递校准等校准质控技术进行了充分研究并基于此建立了自主学习神经网络算法的校准体系。为解决传感器应用过程中零点漂移、温度和湿度漂移、时间漂移等问题,利用大数据、基因算法成功开发出了智能数据修正模型,实现了低成本、高稳定、具有相当精度且可自动化运行的网格化监测体系。     

污染源普查数据集成与共享平台研究与实践

应用数据仓库、商务智能等信息技术对第一次全国污染源普查数据进行了整理集成,设计开发了普查数据的共享平台,并对数据共享与服务的技术保障体系进行了研究。平台采用资源目录和标准数据集的方式对普查数据资源进行组织,并设计了数据资源的获取、发布以及申请定制等共享服务流程。平台技术保障体系主要包括数据成果的分类分级、发布策略、管理流程、质量控制规范等。     

远程监控城乡管网饮用水的低量色度

选用480 nm单色光及长光程技术进行吸光光度分析,测定水质色度。通过对比普通分光光度法可知,吸光光度测试的光程长度增加10倍,测试灵敏度显著提高,从而保证低色度饮用水(30度)的测定精准度。监测的色度数据利用GSM无线通信传输系统,可实现对水质色度监测结果的远程实时动态遥传,为预警突发性水污染事故提供数据支撑。