水-粮食贸易:虚拟水研究进展

虚拟水思想强调的是水资源贡献，量化计算是其深入研究的基本，而是否选择虚拟水作为战略政策，应该考虑由不同国家的资源贡献和生产技术决定的比较利益。社会调适能力要求社会针对资源的第一性缺乏做相应调适并谋求解决手段，以提高资源管理能力。为此，需要结合我国的水和粮食安全问题，提出用虚拟水贸易解决我国水资源和粮食问题，提高我国对水资源缺乏的调适能力。     

Environmental health in the complex city: a co-evolutionary approach

While public health and urban planning were closely linked in the past, today both domains are institutionally separate. In most cases, health intersects with spatial planning processes only through obligatory evaluations, such as environmental impact assessments, or restrictive environmental legislation. This institutionalisation of health criteria in most western countries has difficulty in dealing with recent environmental health challenges, leading to continual distrust and conflict between citizens and the government. This impasse has recently been discussed by academics who acknowledge the complexity of both city and health issues. It seems, however, that the full extent of the issue has not been covered yet, leading to recommendations and frameworks that are useful but fixed and retrospective. This paper moves beyond those fixed frameworks to develop a better understanding of the complexity of the current disconnect and explores ideas for a future planning approach, grounded on new ideas of co-evolutionary and adaptive planning.     

Adaptive Management of Stream Channel Maintenance at Bridge Crossings in the Northern Tier Region,Pennsylvania1

Abstract: An adaptive management framework is applied to the problem of identifying mitigation measures for sediment deposition near bridge crossings in small streams in the Northern Tier region of northern Pennsylvania. The presence of the rigid bridge infrastructure introduces a challenge for applying adaptive management practices, because the integrity of the bridge structure itself has to be maintained regardless of the mitigation practices used in the stream channel near the bridge. In an effort to overcome the unacceptable risk that field‐scale adaptive management experiments present to rigid bridge infrastructure, an adaptive management approach for laboratory‐scale experimentation of mitigation methods at bridge crossings in the Northern Tier region is presented as a way to decrease the level of uncertainty about channel response to mitigation measures and increase the rate of learning about the effectiveness of these measures. Four cycles of adaptive management experiments are discussed to demonstrate that this approach results in fast and efficient learning about channel response to mitigation methods for the given conditions. The value of monitoring and of assessment of monitored data in the overall efficiency of the adaptive management approach is highlighted. Assessment of what was learned in the adaptive management experiment cycles presented here leads to new directions to continually improve management policies and practices in stream channels at bridge crossings in the Northern Tier region. The adaptive management process, rather than continuing with a normally risk‐averse management approach, results in opportunities for learning new information about a system’s response.     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

罗布泊野骆驼国家级自然保护区野骆驼的栖息环境及适应特征

野骆驼是世界上骆驼科真驼属唯存的野生种,目前全世界只分布在我国新疆和蒙古国的中蒙边境地区,在世界上仅存730~880头左右,是比大熊猫更为珍稀的野生动物,濒临灭绝。野骆驼的生存环境非常恶劣,气候十分干旱,荒漠化十分严重,蒸发量远远大于降雨量,空气非常干燥,日夜温差极大。分布区的植物也非常稀少,没有淡水,只有零星散布的又苦又咸的盐泉,大部分地区寸草不生,只有在盐泉附近长着稀稀拉拉的盐生草、沙拐枣、骆驼刺等。野骆驼能在严酷的荒漠半荒漠地区生活,对恶劣气候环境有很强的适应性,具有耐饥渴抗风暴等抵抗恶劣环境的能力,是动物界中任何一种动物无可比拟的。     

基于适应性管理的水污染控制体系构建——以太湖流域为例

从规划内容与目标、规划方法及方案实施和评估3方面对太湖近20年水污染物控制历程进行综合分析,认为太湖水污染物控制正处面源污染、生活污染及新型污染问题凸显且更难处理,更为广泛的利益相关者和科研队伍积极参与的转型期.这种变化将导致污染治理面临更难应付的动态性和复杂性,使得当前以环境容量为总量为指导通过自上而下分配排污量和削减量的控制方案面临极大挑战.结合太湖水污染现状,通过与现行治理方法在管理假设、适合对象、协调管理手段、管理目标、规划方法、公众参与程度以及规划的优劣势等方面的比较发现,适应性管理可以积极有效应对由于环境趋势和管理协调对象变化所带来的系统不确定性和复杂性,将是一个积极有效的补充方法.同时,本文基于适应性管理提出了太湖水环境污染物排放控制体系的构建框架,突出适应性管理平台、科学研究及公众与基层单位参与在污染物控制中的重要作用.     

Adaptation Bridges and Barriers in Water Planning and Management: Insight from Recent Extreme Droughts in Arizona and Georgia1

Abstract: It is critical to understand the ability of water management to prepare for and respond to the likely increasing duration, frequency, and intensity of droughts brought about by climate variability and change. This article evaluates this ability, or adaptive capacity, within large urban community water systems (CWSs) in Arizona and Georgia. It analyzes interview data on the bridges and barriers to adapting water management approaches in relation to extreme droughts over the past decade. This study not only finds levers for building adaptive capacity that are unique to each state but also identifies several unifying themes that cut across both cases. The interviews also show that a particular bridge or barrier, such as state regulation, is not universally beneficial or detrimental for building adaptive capacity within each state. Such knowledge is useful for improving water and drought management and for understanding how CWSs might prepare for future climate variability and change by removing the barriers and bolstering the bridges in efforts to build adaptive capacity.     

Conflict, camps and coercion: the ongoing livelihoods crisis in Darfur

This paper presents the findings of a study commissioned by World Food Programme (WFP) in early 2006 to enhance understanding of how the conflict in Darfur has affected livelihoods and markets, and of the effects of food aid. The livelihoods of many in Darfur were devastated early on in the conflict, principally through the widespread looting or destruction of assets and highly restricted population movements, which struck at the heart of pre-conflict livelihoods. Livelihood strategies for most people are now restricted, poorly remunerated and often associated with high risk of attack. Patterns of coercion and exploitation have also become entrenched; and markets and trade, the lifeblood of Da fur's economy pre-conflict, severely disrupted. Against this backdrop the impact of food aid on livelihoods in Darfur has been overwhelmingly positive. The paper proposes a number of preconditions for investment in recovery in Darfur, and recommends ways in which livelihoods can be supported in the current context of ongoing conflict.