常德市海绵城市建设示范区雨洪适应性评价与分区

雨洪适应性体现了海绵城市建设的底线约束与生态优先原则,是海绵城市规划中重要的评价标准。采用INVEST模型与GIS技术,进行了研究区的雨洪适应性评价、雨洪适应性的功能分区及安全水平分区。研究表明：（1）从水源涵养、土壤保持和水质净化三个方面进行雨洪适应性评价,并融合雨洪汇流路径与适应性等级,划分雨洪适应性功能分区,体现了雨洪适应系统的源间廊道与基本骨架视角。（2）雨洪安全格局是海绵设施空间形态上的表现,重构不同安全水平雨洪适应性空间,实现了“源—汇”平衡,形成城市雨洪安全系统。（3）雨洪适应性通过水文过程与空间格局耦合,体现了雨洪管控中从微观到宏观层面的协调,对提升城市应对不确定性冲击的自组织能力具有参考意义。     

应用ANFIS预测蠕虫反应器的污泥减量速率并优化其运行条件

利用水生蠕虫的捕食作用可以有效地实现污泥减量.为了研究环境条件波动对蠕虫捕食污泥减量效率的影响,应用自适应神经模糊推理系统(ANFIS)和人工神经网络(ANN)模型分别预测蠕虫反应器的污泥减量速率.结果表明,溶解氧浓度(D0)、温度(T)、蠕虫密度和污泥负荷是蠕虫捕食过程的主要影响因素,通过性能比较得出ANFIS模型预测值与实验测定值间具有更好的一致性,其相关系数(r)为0.82,绝对平均误差百分比(MAPE)为71.5％,均方根误差(RMSE)为16.7.根据ANFIS模型的预测结果,得出蠕虫反应器的最适运行条件为:DO 1.8 ～3.1mg·L-1,温度18.4～21.7℃,蠕虫密度低于1.7 g·cm-2(以湿重计),污泥负荷563～734 mg·g-1(以TSS计),在此操作条件下获得的污泥减量速率均高于100 mg· g-1·d-1.     

秀丽线虫适应响应的形成与调控机理

除了环境暴露评价,在环境毒理学研究中模式动物秀丽线虫也已经被应用于适应响应形成及其调控机理研究.在综述中,系统介绍了秀丽线虫中存在的几种形式毒物诱发的适应响应,即同一因素适应响应、交叉适应响应与特殊形式的适应响应;讨论了目前已经揭示出的6种影响适应响应形成因素;分析了适应响应形成可能机制,即抗氧化应激体系、热激蛋白、金...     

Australian local government action on climate change adaptation: some critical reflections to assist decision-making

The primary objective of this paper is to discuss the limitations of risk management as a strategy for Australian local government climate change adaptation and explore the advantages of complementary approaches, including a social-ecological resilience framework, adaptive and transition management, and vulnerability assessment. Some federal and local government initiatives addressing the limitations of risk-based approaches are introduced. We argue that conventional risk-based approaches to adaptation, largely focused on hazard identification and quantitative modelling, will be inadequate on their own for dealing with the challenges of climate change. We suggest that responses to climate change adaptation should move beyond conventional risk-based strategies to more realistically account for complex and dynamically evolving social-ecological systems.     

Institutional constraints to adaptive capacity: adaptability to climate change in the Norwegian electricity sector

This article contributes to the understanding of adaptive capacity within national sectors by utilising two perspectives from institutional theory. Resting on data from 21 interviews the paper analyses the Norwegian electricity sector and the influence on adaptive capacity to climate change from changes in formal structure and institutional culture. The sector underwent transformational change between the beginning of the 1980s and mid-2000s, with the reform from 1991 as a watershed, and gradual consolidation from about 2000. From a self-regulated vertically integrated sector with an emphasis on robustness of supply the sector changed into a liberalised and unbundled structure, with economic efficiency as the guiding principle. These changes reduced adaptive capacity to climate change. After 2000, gradually adaptive capacity has increased somewhat. The paper argues that also social contextual factors need to be taken account of, both to understand adaptive capacity to climate change and to provide practitioners with an ability to increase it.     

Pathways of adaptation of common dandelion cenopopulations to long-term chemical and radiation influences

A comparative study of the seed progeny of dandelions was performed with samples from cenopopulations growing for a long time under conditions of radioactive contamination (the zone of the Eastern Ural Radioactive Trace, EURT) or chemical pollution (the impact zone of the Nizhnii Tagil Metallurgical Plant, NTMP). The viability of seeds proved to decrease in a similar way along with an increase in technogenic pressure, irrespective of its nature. Experiments on acute exposure to heavy metals and γ-irradiation made it possible to reveal the adaptive capacities of the seed progeny from each cenopopulation. The background sample (formed beyond the zone of any impact) was relatively resistant to irradiation and very sensitive to heavy metals. The cenopopulations from the EURT and NTMP zones manifested nonspecific responses to the effects of both habitual and new factors.     

基于遗传模拟退火算法的频率指配算法研究

在复杂电磁环境中进行频率指配是频谱管理中极为重要且困难的研究课题。提出了一种基于遗传模拟退火算法的频率指配算法,以基本遗传算法为基础,采用自适应的交叉概率和变异概率,将遗传操作和模拟退火操作相结合,从而克服了一般遗传算法的不足,可有效避免陷入局部最优并最终趋于全局优化。理论分析和仿真结果表明,该算法能够给整个无线电网络合理地指配频率,同时能有效地控制算法自身的收敛速度,与传统的指配算法相比,新算法在指配效果上有了很大的提高。     

Adaptive neuro fuzzy inference system for classification of water quality status

An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical and inorganic chemical indicators including dissolved oxygen, chemical oxygen demand, and ammonia-nitrogen. A data set (nine weeks, total 845 observations) was collected from 100 monitoring stations in all major river basins in China and used for training and validating the model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive when compared with artificial neural networks. It is applicable in evaluation and classification of water quality status.     

An empirical approach to assessing generic adaptive capacity to tropical cyclone risk in coastal districts of India

Differences in impacts of climate hazards across exposed units are determined by many factors including the severity of the hazard itself, the population that is exposed to the hazard and the coping capacity of the exposed units to the hazard. Coping capacity or adaptive capacity results from a combination of development status (generic capacity) and interventions pertinent to the hazard (specific capacity). This paper explores the extent to which the generic adaptive capacity may explain the variation in tropical cyclone impacts. Therefore this paper offers an empirical approach by which adaptive capacity may be measured and validated against actual outcomes. Results not only validate the role of generic adaptive capacity in explaining variations in impact but also reveal that general development indicators are not very important as far as predicting outcomes is concerned. Those indicators of development that can be linked to the impact process are significant in explaining and predicting impact. This can help identify those aspects of generic adaptive capacity which are important from the perspective of policy action for enhancing adaptive capacity to a particular climate hazard.

南方稻区季节性干旱农户适应行为及其影响因素实证分析

气候异常给我国粮食生产带来的影响成为当前社会各界关注的焦点。受全球气候变暖影响,大范围持续性干旱成为农业生产的最严重威胁,特别是近年来南方稻区季节性干旱问题日趋严重,已严重危害到我国经济社会的和谐健康发展。因此,如何适应季节性干旱已成为当前全社会普遍关注的话题,农户作为农业生产的微观决策主体,其适应季节性干旱行为选择如何,其影响因素有哪些?此问题的解决是实现科学减灾的前提和基础。因此,论文利用南方稻区江西省41个县755份农户调查样本数据,从理论与实证上分析了季节性干旱农户适应行为及其影响因素,统计结果表明：面对季节性干旱时,68.6%的农户会采取相应的适应行为,并且补种（苗）、改种其他作物、调整播种和收获日期是农户最优先考虑采用的适应措施,而资金和劳力是农户采取适应行为措施最主要的限制因素。利用Probit回归模型、Poisson回归模型和Tobit回归模型实证分析了季节性干旱农户适应行为措施选择、采用规模和采用强度的影响因素,计量结果表明：社区资本、干旱发生频率、防灾信息的可获性等因素对农户适应行为采用意愿、规模和强度有正向影响,而所在村距最近公路远近和所处的地形特征对农户适应行为采用意愿、规模和强度有负向影响。因此,需要进一步丰富社区资本、加强农户防灾信息可获性以及加强交通基础设施建设等方面以促进农户采纳适应措施的积极性。