贝纳德效应和地震预报

本文根据海城地震前后重力变化的实测资料提出重力加速度随时间变化的一种简化表示。在重力发生扰动时对贝纳德问题的动力学方程进行求解。计算结果表明,在强地震的孕育期,贝纳德花样的周期变化在一定时间后将自动停止。这个结论的验证可以作为一种新的地震预测方法的理论基础。     

发挥环保监督网络作用 搞好“一控双达标”

介绍了新余发电有限责任公司建立环保监督网络和开展环保技术监督，做好“一控双达标”工作的具体做法。     

Rethinking receiver operating characteristic analysis applications in ecological niche modeling

The area under the curve (AUC) of the receiver operating characteristic (ROC) has become a dominant tool in evaluating the accuracy of models predicting distributions of species. ROC has the advantage of being threshold-independent, and as such does not require decisions regarding thresholds of what constitutes a prediction of presence versus a prediction of absence. However, we show that, comparing two ROCs, using the AUC systematically undervalues models that do not provide predictions across the entire spectrum of proportional areas in the study area. Current ROC approaches in ecological niche modeling applications are also inappropriate because the two error components are weighted equally. We recommend a modification of ROC that remedies these problems, using partial-area ROC approaches to provide a firmer foundation for evaluation of predictions from ecological niche models. A worked example demonstrates that models that are evaluated favorably by traditional ROC AUCs are not necessarily the best when niche modeling considerations are incorporated into the design of the test.     

多级模糊决策在地震预报中的应用

本文把多级模糊决策方法应用于地震预报当中。文中详细论证和推导了多级模糊决策方法与模型。该方法使决策部门可以根据输入前兆的变化随时作出合理的对策。文中还给出了地震预报多级模糊决策数字解实例,并用回顾法讨论了1976年松潘7.2级地震的模糊预报决策。     

毕节喀斯特石漠化治理生态农业模式构建

喀斯特石漠化已成为岩溶山区生态建设和社会经济可持续发展的重大障碍，受到各级政府、专家学者的高度重视和广泛关注。以贵州省毕节市老街村喀斯特石漠化土地利用为例，采用实地调查的方法获取研究数据，分析了研究区石漠化土地利用存在问题。在此基础上，遵循石漠化治理与产业化相结合原则、市场导向原则、替代产业培育原则、适地适种原则等喀斯特石漠化治理的一般原则；优化土地利用格局，设计由坡地保土耕作、桑草养殖、桑药种植、乡土廊道树篱、封山育林多种技术措施配套集成的综合治理方案，并通过与农村能源建设结合，构建桑草药粮种植＋蚕猪养殖＋沼气的生态农业发展模式，探索喀斯特石漠化区生态修复的有效途径。     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

高科技污染问题及驱动力模型研究

高科技产生的污染包括产品生产、消费过程中及废弃时产生的污染。这些特点又加重了高科技的污染程度。高科技污染的各种特点，包括扩散快、产品回收难、污染类型多及隐蔽性强等。以江苏省高科技企业为例，研究企业隶属、资产组成以及经营能力和科技水平等企业性质指标与企业有毒有害原辅料消耗量的相关性，并做出高科技企业污染的驱动模型。根据所得研究结果，分析总结影响高科技企业有毒有害原辅料消耗量的主要因素，认为企业的性质间接作用于企业，最终形成了高科技污染。并据此提出治理高科技污染的建议，即完善污染治理法律体系、探索废旧产品回收途径、发展清洁生产技术、探索针对高科技企业的环境管理模式。     

Adaptive co-management and network learning in the Room for the River programme

Adaptive co-management and learning are paramount for integrated flood risk management. Relevant literature focuses on adaptation at the level of physical and societal systems. The level of projects and programmes is largely overlooked, but they comprise interventions that adapt our physical systems and they provide opportunities for learning to contribute to transitions of societal systems. This paper aims to increase understanding on how learning takes place and can be stimulated within a programme. The mixed-method case study of Room for the River, a €2.3 billion programme for flood risk management, shows that a programme can be organised using various governance arrangements to stimulate learning and be a means for adaptive co-management to deliver upon environmental objectives.     

NGO collaboration in community post‐disaster reconstruction: field research following the 2008 Wenchuan earthquake in China

The number of communities affected by disasters has been rising. As a result, non‐governmental organisations (NGOs) that attend community post‐disaster reconstruction are often unable to deliver all requirements and have to develop cooperative approaches. However, this collaboration can cause problems because of the complex environments, the fight for limited resources and uncoordinated management, all of which result in poor service delivery to the communities, adding to their woes. From extensive field research and case studies conducted in the post‐Wenchuan earthquake‐stricken communities, this paper introduces an integrated collaboration framework for community post‐disaster reconstruction with the focus on three types of NGOs: international, government organised and civil. The proposed collaboration framework examines the three interrelated components of organisational structure, operational processes and reconstruction goals/implementation areas. Of great significance in better promoting collaborative participation between NGOs are the crucial concepts of participatory reconstruction, double‐layer collaborative networks, and circular review and revision.     

皖江区域城市能级与生态环境协调度的测度和发展趋势研究

随着城市能级的不断提高,城市生态环境问题也日益突出,二者间协调发展成为城市发展一致的追求。以皖江区域10个城市作为研究地域单元,构建了城市能级与生态环境的指标体系,并建立了城市能级与生态环境的协调度模型。在此基础上,对皖江区域2002~2011年的城市能级与生态环境协调度进行了测度,研究发现过去10a皖江区域城市能级与生态环境的协调度处于较低水平。根据测定的协调度数据,建立了协调度自回归预测模型,并运用该模型探究了未来10a皖江区域城市能级与生态环境协调度的发展趋势,结果表明皖江区域城市能级与生态环境的协调度发展水平经过拮抗期和基本协调期后不断提高,将于2019年前后趋近高质协调发展阶段,即城市能级与生态环境两个系统有序互动发展的态势。