Learning about learning: lessons from public engagement and deliberation on urban river restoration

This paper provides a new discussion of how people learn through deliberative processes, drawing upon empirical analysis of a novel public engagement process for urban river restoration. Such critical evaluation is rare and yet will be crucial to both theoretical development and learning about engagement practice, not least in a policy area subject to strong regulatory drivers for public participation. The analysis supports two important learning mechanisms – the use of 'gatekeepers' of knowledge, interests and values, and the privileging of narrative. It provides new evidence of instrumental and communicative learning about shared priorities and criteria for effective river restoration that evolved through the deliberative process and directly informed the restoration scheme. It is important to question whether and how such site or context-specific learning might inform other restoration schemes. Finally, the paper questions the often ignored issue of expert learning, not least the issue of the link between individual and organizational learning.     

The mean value concept in mono-linear regression of multi-variables and its application to trace studies in geosciences

The "mean value concept" in a mono-linear regression of multi-variables is clarified.Its applications to reconstruction of the past 90-year salinity of the sea surface water in Xisha Islands and to tracing the past 80 ka paleo-geomagnetic events from the Luochuan loess 10Be record are introduced in detail,which show the significance and the potential of the "mean value concept" in geoscience research.     

Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches

 In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences.     

Toward micro-scale spatial modeling of gentrification

 A simple preliminary model of gentrification is presented. The model is based on an irregular cellular automaton architecture drawing on the concept of proximal space, which is well suited to the spatial externalities present in housing markets at the local scale. The rent gap hypothesis on which the model's cell transition rules are based is discussed. The model's transition rules are described in detail. Practical difficulties in configuring and initializing the model are described and its typical behavior reported. Prospects for further development of the model are discussed. The current model structure, while inadequate, is well suited to further elaboration and the incorporation of other interesting and relevant effects. Received: 1 November 2001 / Accepted: 12 April 2002 Town centres data were made available by kind permission of the UK Department of the Environment, Transport and the Regions.     

南京城区夏季低层逆温对人体舒适状况影响初探

利用2000年夏季南京志区地面气象要素和低层探空资料，分析了该夏季南京城区早、晚低层逆温的频率、厚度和强度变化特征，着重从统计角度研究了逆温的厚度、强度与城区地面温度、相对湿度变化的关系及对人体舒适状况的影响。结果表明：低层逆温对城区地面温湿变化及其幅度影响较大，当07时有逆温层时，08时至14时的温度增加幅度变大，相对温度减小幅度也变大，人体不适指数增加幅度变大；当19时有逆温层时，20时至23时温度减小幅度变小，相对湿度增加幅度也变小，人体不适指数减小幅度变小，并通过相关分析建立了人体舒适度指数与逆温强度之间的回归方程。     

Design of the Urban Land Grading Information System

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藏北高原陆面过程的模拟试验

利用NCAR陆面过程模式(Land Surface Model)和1998年"青藏高原能量与水分观测实验"加强观测期(GAME/Tibet IOP)的观测资料对青藏高原地区陆面过程进行了模拟研究.结果表明,在观测资料的强迫下模式能够较好地模拟出地表特征量的变化趋势,深层的土壤温度的模拟对初始场在0℃左右的变化敏感.模拟的感热通量、潜热通量以及地表反射的太阳辐射较观测值偏大.在高原地区地表类型分布状况的真实描述及植被、土壤参数的选取可能是提高该地区效果的首要问题;草地下垫面的陆面特征有待进一步研究;对土壤水热运动的真实描述,及冻土过程的加入对大气环流模式(GCM)跨季节的数值模拟会有所改进.     

中国陆地生态系统脆弱带遥感模型

本研究通过对我国陆地生态系统8个典型样地的植被指数取样实验和图像计算结果发现，这8个样地植被指数随着水、热因子的季节变化，在时间和空间上具有一定的“绿波推移”和“景观更替”规律。在中国东部湿润的季风区（样地1－3），随着纬度的增高，其月平均植被指数与月平均气温有较大的相关。发现降水相对丰沛的地带，热量和光照条件的变化成为植被生长和变化的自然限制因子；而在中国北方森林－森林草原－典型昌原－荒漠草原－荒漠地带上，随着从东部（湿润地区）到西部（干旱地区）干湿条件的更替，月平均植被指数与降水多寡有较大的正相关关系。在8个样地上都呈现出共同的规律，即定向风的分布与植被指数的分布在时间和空间上具有逆相分布的“套合关系”。尤其在时间上有相逆套合关系，这正是中国北方沙尘暴和沙漠化加剧的自然原因。本研究定量地给出了我国陆地不同经纬度带生态系统脆弱季节和累积时间的分布。     

Gauss-Markov模型参数的岭型广义逆估计及其优良性

本文继续文献 [10 ]的工作 ,进一步讨论了测量平差 Gauss- Markov模型参数岭型广义逆估计的若干性质 ,如允许性、优效性、相对效率、抗干扰性等等 ,得到了许多重要结论。计算结果表明 ,在设计阵呈病态时 ,岭型广义逆估计确能明显改善 L S估计     

建设用地地质灾害危险评估

介绍了模糊综合评价方法基本程序，通过实例分析，初步探讨了模糊综合评价方法在建设用地地质灾害危险性评估中的应用。