Climate Change and Energy Technologies

The long time scale of the climate change problem and the inherent nature of the carbon cycle bring important implications for present technology development efforts. Even if major technology improvements are achieved for non-carbon-emitting technologies such as energy-intensity improvements, wind, solar, biomass, and nuclear over the course of the 21^st century, most examinations of potential future greenhouse emissions conclude that additional technology development will be required to stabilize greenhouse gas concentrations. The evelopment of an expanded suite of technologies including carbon capture and disposal, hydrogen systems and biotechnology hold the potential to dramatically reduce the cost of stabilizing greenhouse gas concentrations. This paper examines these technologies in the context of a global integrated assessment model of energy, agriculture, land-use, economics, and carbon cycle processes.     

Eco-environmental information system of Tianjin City─Design, implementation and applications

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Landscape structure and land uese on county level in northeastern Yunnan Province of China—a case study of Huize County

Taking Huize County as an example, the paper analyzed the landscape structure(landscape element structure, landscape type structure, landscape spatial structure, landscape succession structure) and the relations between landscape structure and land use. It was pointed out that the agriculture should be developed in harmony with the landscape structure in the study area.     

我国城市污泥中醚类和卤代烃类有机污染物的初步研究

应用GC／MS联机检测技术对我国大陆和香港共11个城市污泥中4种醚类和4种卤代烃类化合物进行分析。结果表明，醚类化合物的总含量在0－7．743mg/kg之间，以双（2－氯异丙基）醚为主，主要分布在兰州污泥和广州污泥中；卤代烃类化合物的总含量在0．007－3．237mg/kg之间，以六氯环戊二烯为主，主要分布在兰州污泥、佛山污泥和沙田（香港）污泥中。污泥中醚类和卤代烃类化合物的种类及其含量与污水来源、污水处理方式、污泥类型、化合物的结构和理化性质等因素有关。     

景观及视觉影响评价初探

介绍了国内外开展景观与视觉影响评价的情况和意义 ,提出了景观与视觉影响评价的基本概念、步骤、内容和方法 ,介绍了一种较为简便、实用的用于景观与视觉影响评价的定量方法。提出了进行这项工作的难点问题及设想建议。     

Scale,context, and decision making in agricultural adaptation to climate variability and change

This work presents a framework for viewing agricultural adaptation, emphasizing the multiple spatial and temporal scales on which individuals and institutions process information on changes in their environment. The framework is offered as a means to gain perspective on the role of climate variability and change in agricultural adaptation, and developed for a case study of Australian agriculture. To study adaptation issues at the scale of individual farms we developed a simple modelling framework. The model highlights the decision making element of adaptation in light of uncertainty, and underscores the importance of decision information related to climate variability. Model results show that the assumption of perfect information for farmers systematically overpredicts adaptive performance. The results also suggest that farmers who make tactical planting decisions on the basis of historical climate information are outperformed by those who use even moderately successful seasonal forecast information. Analysis at continental scales highlights the prominent role of the decline in economic operating conditions on Australian agriculture. Examples from segments of the agricultural industry in Australia are given to illustrate the importance of appropriate scale attribution in adapting to environmental changes. In particular, adaptations oriented toward short time scale changes in the farming environment (droughts, market fluctuations) can be limited in their efficacy by constraints imposed by broad changes in the soil/water base and economic environment occuring over longer time scales. The case study also makes the point that adaptation must be defined in reference to some goal, which is ultimately a social and political exercise. Overall, this study highlights the importance of allowing more complexity (limited information, risk aversion, cross-scale interactions, mis-attribution of cause and effect, background context, identification of goals) in representing adaptation processes in climate change studies.     

Rural landscape planning case study of Nanhua State Farm

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安太堡露天矿南排土场滑体植被治理技术

论述了安太堡矿南排土场滑体整治模式,通过植被减少滑体侵蚀及水土流失,改善了滑体的生态景观,对滑体安全起到了良好作用。     

2000年以来黄河流域土地市场化时空格局演变及驱动因素

基于土地市场交易结构的视角,测算2000-2016年黄河流域104个地级以上城市一级土地市场化程度,综合利用Global Moran's I、G^*_i指数空间统计模型对其时空格局演变特征进行分析,运用灰色关联度分析模型探究土地市场化时空格局演变的主要驱动因素。研究发现：2000-2016年,黄河流域土地市场化水平表现出先持续上升后不断下降的阶段性变化特征,呈现了“东高西低”的空间分异格局。黄河流域土地市场化水平整体具有显著的空间自相关性,土地市场化热点区域以下游主要城市为核心,经历了先加速蔓延、后缓步收缩的时空演进历程。黄河流域土地市场化水平的时空格局演变主要由经济发展水平、产业结构升级、固定资产投资、政府财政收支比、外商直接投资以及区位条件等因素共同驱动,但受我国社会经济发展的阶段性影响,各因素在不同年份的影响程度存在显著的差异性。     

近50年丝绸之路经济带中国境内冰川变化

冰川是丝绸之路经济带中国境内重要的水资源,对该区农业建设和经济发展至关重要。基于修订后的中国第一次冰川编目数据和最新发布的第二次冰川编目数据,对丝绸之路经济带中国境内冰川变化进行分析。结果表明：（1）丝绸之路经济带中国境内现有冰川22523条,面积25516.80 km²,冰储量约2592.85 km³,分别占我国冰川相应总量的46.37%、49.22%和57.39%,其中新疆维吾尔自治区冰川储量最为丰富,共计2366.25 km³。（2）丝绸之路经济带中国境内冰川以面积<0.5 km²的冰川数量最多,共计15519条,占冰川总数量的68.90%;面积则以介于1~5 km²冰川为主,共计6833.71 km²,占冰川总面积的26.78%;各山系的冰川退缩海拔高度不同,面积减少速度在各个高度带均有差异。（3）近50年间丝绸之路经济带中国境内冰川面积共减少4527.43 km²,变化百分比为-20.88%,有3114条冰川消失,冰川冰储量损失约419.35 km³。（4）丝绸之路经济带中国境内冰川变化整体呈现自西向东加快趋势,减少速率整体上有自西南向东北加快趋势;冰川朝北消失数量大于朝南消失数量,东北方向面积减少最多,东南方向面积减少最快。（5）近50年间丝绸之路经济带中国境内有暖湿化趋势,冬季气温升高速率大于夏季且降水增加幅度小于夏季的气候组合模式,不利于冰川的积累从而导致冰川退缩;冰川发育规模对冰川退缩也有一定影响,但各山系冰川变化驱动力具有空间差异。