利用HJ-1A/1BCCD数据进行黄河凌汛监测

利用HJ-1A/1B卫星CCD数据进行黄河凌汛监测,提出了基于主成分分析和决策树的冰凌提取方法。实验结果显示,利用HJ-1A/1B卫星CCD数据能有效地提取出黄河的冰凌范围,对黄河凌汛监测具有较大的应用潜力。     

基于决策树分类的地表覆盖遥感信息提取

地处西南的渝北地区地表覆盖类型复杂、土地利用多元化,仅依赖于光谱特征的传统遥感信息提取方法难以获得较高的分类精度。利用决策树分类技术对渝北地区的TM遥感影像进行分类,除光谱信息外还结合地质、NDVI、PCI等多源数据进行实验。结果表明,总精度和Kappa系数分别为88.42%和0.854 7,较传统的监督分类和仅依赖于光谱特征的决策树分类方法有较大提高,这也表明基于多源数据的决策树分类技术对地表覆盖复杂地区的遥感影像分类比较适用,是遥感信息提取的一种有效手段。     

GIS技术在综合实践活动辅助教学中的应用

探讨了GIS技术在综合实践活动辅助教学中的应用,以中国地图为例,在讲授地图的基本知识后,让学生利用MapGIS软件动手制作一幅中国地图,并在此基础上引导学生进行简单的空间分析,锻炼学生的动手能力和空间分析思维,培养学生的信息素养、探究能力和创造精神。     

CALCUTTA'S HAND–PULLED RICKSHAWS: CULTURAL POLITICS AND PLACE MAKING IN A GLOBALIZING CITY*

For more than a century, hand‐pulled rickshaws have been a prominent part of Calcutta's cityscape. Under the veil of modernization, progress, and globalization, however, the government of West Bengal State declared that rickshaws cause traffic congestion and constitute an exploitative use of human labor. Yet, despite the government‐imposed ban, rickshaws continue to ply the streets of central Calcutta. Based on interviews with rickshaw owners, operators, public officials, and local residents, we examine the cultural politics surrounding rickshaw pulling in Calcutta. This article shows that the rickshaw wallahs (pullers), who operate as part of the informal economy, provide an expansive range of services not limited to transportation. Indeed, the rickshaw wallahs form an integral part of Calcutta's social fabric, having made a place for themselves by facilitating social interaction and challenging hegemonic ideas and practices about who belongs where.     

硼酸盐晶体结构与性能关系的价键理论研究进展

硼酸盐晶体结构类型多样,物理和化学性质优良,在国民经济的许多部门应用广泛。随着人们对晶体认识的深入,晶体结构与性能关系的重要性愈加明显。量子化学计算在晶体研究中有重要的地位,但化学键分析方法简便,能定量表述晶体结构与性能关系,特别是在复杂体系研究中有其优势。简述了复杂体系的化学键介电理论,分析了硼酸盐晶体结构与性质关系的研究方法,展望了硼酸盐晶体的价键理论研究前景。     

Does public policy support or undermine climate change adaptation? Exploring policy interplay across different scales of governance

Policy makers have now recognised the need to integrate thinking about climate change into all areas of public policy making. However, the discussion of ‘climate policy integration’ has tended to focus on mitigation decisions mostly taken at international and national levels. Clearly, there is also a more locally focused adaptation dimension to climate policy integration, which has not been adequately explored by academics or policy makers. Drawing on a case study of the UK, this paper adopts both a top-down and a bottom-up perspective to explore how far different sub-elements of policies within the agriculture, nature conservation and water sectors support or undermine potential adaptive responses. The top-down approach, which assumes that policies set explicit aims and objectives that are directly translated into action on the ground, combines a content analysis of policy documents with interviews with policy makers. The bottom-up approach recognises the importance of other actors in shaping policy implementation and involves interviews with actors in organisations within the three sectors. This paper reveals that neither approach offers a complete picture of the potentially enabling or constraining effects of different policies on future adaptive planning, but together they offer new perspectives on climate policy integration. These findings inform a discussion on how to implement climate policy integration, including auditing existing policies and ‘climate proofing’ new ones so they support rather than hinder adaptive planning.     

Scale mismatches and their ecological and economic effects on landscapes: A spatially explicit model

Mismatches between the spatial scales of human decision-making and natural processes contribute to environmental problems such as global warming and biodiversity losses. People damage the environment through local activities like clearing land or burning fossil fuels, but the damages only become manifest at larger regional or global scales where no one pays for them. Payments for ecological services like carbon sequestration can correct for these damages caused by scale mismatches. This paper presents a spatially explicit land-use model to investigate the consequences of scale mismatches for pollination and carbon storage services and examine the effect of payment for only carbon storage services. The model integrates processes in multiple spatial scales ranging from the parcel level used by landowners’ decision about deforestation, to the larger scale used by animals to pollinate plants, and finally to the global scale where carbon storage services are supplied. We show that payment for carbon storage services can become an effective mechanism to protect forests at the same time that it creates inequities among landowners in income level.These findings suggest that market-based approaches that focus on conservation of a single ecosystem service may reproduce unequal power relations among landowners.     

复杂地形风场的精细数值模拟

风能是一种重要气候资源,随着我国风电规模的迅速增大,发展风能资源评估系统和风功率预测系统已成为一项重要的研究内容。国内外对复杂地形风场结构的数值模拟有大量研究,随着计算机能力增强,以往用于空气动力学精细流场计算的计算流体力学(Computational Fluid Dynamics,CFD)模式越来越多地在气象领域得到应用,人们开始研究用中尺度预报模式和CFD模式结合进行复杂地形风场的数值模拟。本文的耦合模式系统采用中尺度气象模式(WRF),通过嵌套网格到内层尺度(一般是几公里),然后通过耦合CFD模式Fluent软件获得高分辨率(水平30~100 m,垂直150 m高度以下10 m)的风速分布资料,得到精细化的风场信息。通过对鄱阳湖北部区域和云南杨梅山复杂地形的风场模拟,提供了风能评估和预报的一种可行的方法。     

水资源可持续利用规划耦合模型与应用

介绍了水资源可持续利用规划耦合模型和应用实例。从数学形式上看,它是多目标优化模型,目标函数选用自由度较高并具竞争性的系统状态指标;约束条件应该包括各相关子系统的状态模拟方程,使模拟与优化实现耦合。在研究实例中,选用了GDP和COD排放量指标来表征研究区的经济发展和环境状况,约束条件主要包括水资源系统模拟模型和宏观经济系统扩大再生产—投入产出耦合模型。由于水资源可持续利用规划决策是半结构化的决策问题,开发决策支持系统辅助决策有助于提高决策的科学性和有效性。