3S技术在财产保险防洪救灾中的应用

分析了保险业防灾减损的研究现状,阐述了3S的技术特点及其应用领域。和如何将3S技术应用于财产保险防洪救灾领域,建立财产保险防洪救灾决策支持系统。介绍了系统的整体构架及其功能特点,该系统可与保险公司业务系统紧密结合,显示直观。同时包括保险分析、灾害分析和专题图显示等多项功能。实现了多源数据的无缝集成。因而能从理论方法和关键技术上指导保险公司的防灾减损工作。切实提高保险公司的经济效益。以深圳市为示范区,该系统在应用中取得了良好效果。     

What Is a Good Public Participation Process? Five Perspectives from the Public

It is now widely accepted that members of the public should be involved in environmental decision-making. This has inspired many to search for principles that characterize good public participation processes. In this paper we report on a study that identifies discourses about what defines a good process. Our case study was a forest planning process in northern New England and New York. We employed Q methodology to learn how participants characterize a good process differently, by selecting, defining, and privileging different principles. Five discourses, or perspectives, about good process emerged from our study. One perspective emphasizes that a good process acquires and maintains popular legitimacy. A second sees a good process as one that facilitates an ideological discussion. A third focuses on the fairness of the process. A fourth perspective conceptualizes participatory processes as a power struggle—in this instance a power play between local landowning interests and outsiders. A fifth perspective highlights the need for leadership and compromise. Dramatic differences among these views suggest an important challenge for those responsible for designing and carrying out public participation processes. Conflicts may emerge about process designs because people disagree about what is good in specific contexts.     

Evaluating Nonpoint Pollution Policy Using a Tightly Coupled Spatial Decision Support System

Policy makers often must rely on the cumulative impact of independent actions taken by local landowners to achieve environmental goals. The connection between policy, regulation, and local action, however, is often not well understood and, thus, the impact of proposed policies may be difficult to predict. In this study we evaluate the effectiveness of alternative policy scenarios for agricultural set aside programs (e.g., the conservation reserve program administered by the United States Department of Agriculture) in reducing nonpoint pollution. Two alternative policy scenarios are developed and analyzed; one based on the erodibility index (detachment), the other sediment yield (transport). An estimate of the cumulative impact of associated land use change on nonpoint pollution is made using the AGNPS distributed parameter watershed model. This work is completed within the Cypress Creek watershed in southern Illinois. An analysis of the resulting data suggests that the most efficacious regulatory strategy for achieving nonpoint water pollution goals depends, in part, on place-specific land use patterns. This conclusion provides a solid argument for place-based regulatory strategies.     

Using Multicriteria Methods in Environmental Planning and Management

In environmental planning and decision processes several alternatives are analyzed in terms of multiple noncommensurate criteria, and many different stakeholders with conflicting preferences are involved. Based on our experience in real-life applications, we discuss how multicriteria decision aid (MCDA) methods can be used successfully in such processes. MCDA methods support these processes by providing a framework for collecting, storing, and processing all relevant information, thus making the decision process traceable and transparent. It is therefore possible to understand and explain why, under several conflicting preferences, a particular decision was made. The MCDA framework also makes the requirements for new information explicit, thus supporting the allocation of resources for the process.     

基于多目标决策的室内空气质量评价模型

在室内空气质量各单项评价指标的基础上，应用运筹学的决策理论，建立室内空气质量评价模型。并通过实例应用此模型对室内空气品质进行了评价研究，取得了满意的结果。与其他评价方法相比，该评价模型结构严谨、计算简便、结果合理、分辨率高。为室内空气质量评价提供了一种简单而适用的评价方法。     

Integrated model for renewable energy planning in Turkey

All economic sectors are associated with energy use; therefore, government organizations aim to supply sustainable energy for human needs and economic growth. In particular, increased environmental concerns of the public in Turkey have impacted policymaking for renewable energy (RE) management in Turkey. The primary objective for RE sources of the Turkish Ministry of Energy is to ensure that 30% of the share of electricity production is from RE resources in 2023. In this paper, the integrated multi-objective, multi-period linear programming model is presented to determine effective allocation of RE supply for seven different geographical regions in Turkey for the period of 2017 to 2024. The integrated model consists of two different stages. The first stage involves qualitative evaluations of RE sources for seven geographical regions. Analytical Hierarchy Process (AHP) is applied to determine criteria priorities and overall ratings of geographical regions across determined criteria for RE sources are computed. The second stage of the integrated model consists of a multi-objective, multi-period linear programming model. The proposed multi-objective linear programming model is coded in MPL (Mathematical Programming Language) and solved using the GUROBI 5.1.0 solver. The output of the integrated model presents the total supply amount of RE sources for geographical regions in planning period. The ε-constraints method is applied to compute the total supply amount of RE from geographical regions for the period of 2017 to 2024. In this study, a systematic decision-making model is generated to allocate renewable energy sources to the geographical regions. The presented model integrates qualitative evaluations and quantitative parameters of different geographical regions to determine the optimal supply amount of RE. The obtained results are consistent with the potential quantities of RE alternatives in geographical regions, regional specifications, and social requirements.     

DETERMINATION OF SEDIMENT YIELD BY TRANSFERRING RAINFALL DATA1

ABSTRACT: A methodology for obtaining the optimal design value to allow for sediment storage in a reservoir is presented for the situation where no data on sediment loads in the incoming streams are available. Information concerning the amount of sediment delivered to the reservoir over its life-time is obtained by a sediment yield model which uses data on rainfall amount and duration obtained from a nearby experimental watershed. Bayesian Decision Theory is used to obtain the optimal storage requirements in order to consider the natural variation of rainfall and the sampling error due to the short rainfall record available. The normally difficult calculations involved were made tractable by the use of simplifications and approximations valid in the context of the problem. Results show that sediment storage requirements can be calculated in this manner and that consideration of the uncertainties involved leads to a storage requirement substantially larger than that calculated without such consideration.     

地表水COD浓度灰色预测的GPPM（1）模型

根据地表水中ＣＯＤ浓度的时序数据，建立了ＧＰＰＭ（１）预测模型，结果表明ＧＰＰＭ（１）模型的预测精度优于常规灰色ＧＭ（１，１）模型，它为环境系统的拟合，预测和决策提供了新的方法途径。