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.     

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。     

基于遥感数字图像的电子教学地图的制作

随着现代化教学手段在地理教学中的应用,传统的教学挂图可利用计算机作为辅助工具,制作成电子教学地图。本文论述了利用遥感数字图像制作电子教学地图的指导思想、必要性和可行性,并探讨了遥感数字影像教学地图的制作方法。     

基于MODIS数据的决策树分类方法研究与应用

介绍了目前国际上流行的两种决策树算法———CART算法与C4·5算法,并引入了两种机器学习领域里的分类新技术———boosting和bagging技术,为探究这些决策树分类算法与新技术在遥感影像分类方面的潜力,以中国华北地区MODIS250m分辨率影像进行了土地覆盖决策树分类试验与分析。研究结果表明决策树在满足充分训练样本的条件下,相对于传统方法如最大似然法(MLC)能明显提高分类精度,而在样本量不足下决策树分类表现差于MLC;并发现在单一决策树生成中,分类回归树CART算法表现较C4·5算法具有分类精度和树结构优势,分类精度的提高取决于树结构的合理构建与剪枝处理;另外在决策树CART中引入boosting技术,能明显提高那些较难识别类别的分类准确率18·5%到25·6%。     

PPGIS在城市规划决策中的应用

在介绍PPGIS概念的基础上,给出了基于PPGIS城市规划决策系统的框架,分析了基于元数据的分布式空间数据库的数据组织方式,提出了公众参与城市规划决策系统中公众冲突的解决机制,并在传统适宜性分析模型的基础上建立了公众参与的适宜性分析模型。     

空间决策支持系统及其支撑软件的设计与应用

本文讨论了SDSS的概念和基本理论,以决策支持为目标,面向半结构化和非结构化问题,用模型驱动的SDSS,是GIS未来的发展方向。在技术上用C语言实现了SDSS支撑软件的设计,并应用于国家科技攻关课题“三川河流域区域治理与开发信息系统”,取得了良好效果;同时对SDSS开发中存在问题作了讨论。     

像元信息分解和决策树相结合的影像分类方法

该文提出了一种基于像元信息分解和决策树相结合的遥感自动分类方法。选择广州市番禺区作为研究区。用像元信息分解和多变量决策树法把TM影像分为水体、植被、水泥地、土壤4种基本组分,分离成4类树枝;分别以4种基本地物组分作为分类掩膜,采用BP神经网络分类、形状指数提取、光谱特征提取等复合方法进行分枝,并开展野外遥感调查,以提高和验证分类精度。结果表明：该方法保证了分枝时地物的纯洁度,有效地避免了地物提取时多余信息的干扰和影响,提高了分类精度。结合实地调查数据与最大似然分类算法进行对比实验,表明该模型比最大似然总体分类精度高16％。     

浅谈挤密碎石桩的施工方法

挤密碎石桩施工法是一种振动成桩法,即先用桩管振动成孔,然后填入足够数量的碎石,最后振动密实成桩体。通过振动、挤密的成桩过程,将原地基土振动夯实,桩体与桩间土形成复合地基,达到既处理可液化地基又增强地基的效果。介绍了挤密碎石柱的施工方法和质量检测方法。     

台风风暴潮情景构建与时空推演

因台风风暴潮的突发性、情景演变时间的连续性和路径的不确定性,导致应急决策者在应急救援中难以做出正确决策,针对这一现状,将“情景—应对”应用在台风风暴潮应急决策中。本文在分析台风风暴潮情景、情景要素的概念模型基础上,首先通过资料搜集、属性识别等方法提取关键情景要素,采用框架表示法构建情景;然后分析台风风暴潮情景演变规律及演变路径;其次通过动态贝叶斯网络法构建台风风暴潮动态情景网络;最后利用先验概率与条件概率计算情景状态概率,实现了台风风暴潮的关键情景推演。本文以2018年9月16日11时至17时山竹台风对广东省沿海城市影响为例,演示了台风风暴潮的情景推演流程及关键技术。实证分析结果表明,溃堤、海水倒灌、洪水、滑坡发生的概率分别为85%、81%、74%、54%,验证了情景推演在风暴潮中应用的合理性。