市场失灵、非市场价值与农地非农化过度性损失

农地资源不仅具有经济生产功能,还具有大气调节、涵养水源、保持土壤成分、休闲娱乐等多种生态功能,而在非农化过程中这些功能在市场中没有以价格的形式体现出来,没有包含在农地的现实价值中。因而,有必要对农地的非市场功能进行详尽的分类及价值估算。同时,将由于市场失灵而没能包含到农地总价值中的生态环境等非市场价值纳入到成本效益决策中,来减少市场失灵所造成的农地非农化的效率损失。通过对农地非市场功能的具体分类及量化,测算我国不同经济区域因市场失灵导致的农地非农化过度损失,结果显示,代表东、中、西部地区的江苏、湖北和甘肃省的农地非农化过度损失Ⅰ分别为31.58%、38.13%和43.85%,这为我国农地非农化的行为调控及相应公共政策措施的制订和实施提供了理论依据。     

基于多态模糊BN的石化动设备故障概率定量风险评估

石化行业的压缩机、泵等动设备故障模式多样,故障概率的不确定性较大,常用的风险评估方法无法实现对石化行业动设备失效概率的定量评估,限制了设备安全管理的准确性和有效性.基于贝叶斯网络(BN)可定量计算复杂系统失效概率的特点,利用故障模式与影响分析(FMEA)方法获取动设备风险事件的因果关系,将其映射为BN,并利用BN中节点...     

不同瓦斯压力下煤体力学特性试验研究

为研究瓦斯对煤体力学特性的影响,设计不同瓦斯压力条件下煤体单轴压缩试验,研究煤样力学参数及变形特征随瓦斯压力的变化趋势,探讨瓦斯对煤体力学性质的影响机制,得出单轴压缩下煤样力学参数,并记录煤样的破坏形态.研究结果表明:随瓦斯压力增大,应力-应变曲线压实阶段增大,弹性阶段缩小,失稳破坏后曲线缓慢下降,抗压强度和弹性模量单...     

Value of information in product recovery decisions: a Bayesian approach

There is a widespread recognition of the need for better information sharing and provision to improve the viability of end-of-life (EOL) product recovery operations. The emergence of automated data capture and sharing technologies such as RFID, sensors and networked databases has enhanced the ability to make product information; available to recoverers, which will help them make better decisions regarding the choice of recovery option for EOL products. However, these technologies come with a cost attached to it, and hence the question ‘what is its value?’ is critical. This paper presents a probabilistic approach to model product recovery decisions and extends the concept of Bayes' factor for quantifying the impact of product information on the effectiveness of these decisions. Further, we provide a quantitative examination of the factors that influence the value of product information, this value depends on three factors: (i) penalties for Type I and Type II errors of judgement regarding product quality; (ii) prevalent uncertainty regarding product quality and (iii) the strength of the information to support/contradict the belief. Furthermore, we show that information is not valuable under all circumstances and derive conditions for achieving a positive value of information.     

A RISK-BASED MODEL FOR DROUGHT CONTINGENCY PLANNING1

ABSTRACT: A risk-based model is presented for determining action levels in real-time operation of public water supplies under drought conditions. The model, applicable to surface water supplies, is built around the almost universally adopted structure for drought management, a sequence of increasingly stringent measures to reduce demand. Action levels are determined by finding minimum storage levels that will satisfy a prescribed set of probability constraints over the remainder of a drawdown-refill cycle. Results are presented for the City of Raleigh, NC.     

The boiling liquid expanding vapour explosion

The boiling liquid expanding vapour explosion (BLEVE) has existed for a long time and for most of this time it has been cloaked in mystery. Several theories have been put forward to explain this very energetic event but none have been proven. This paper describes a series of tests that have recently been conducted to study this phenomenon.

The study involved ASME code automotive propane tanks with nominal capacities of 400 litres. The tanks were exposed to a combination of pool and/or torch fires. These fire conditions led to thermal ruptures, and in some cases these ruptures resulted in BLEVEs. The variables in the tests were the pressure-relief valve setting, the tank wall thickness, and the fire condition.

In total, 30 tests have been conducted, of which 22 resulted in thermal ruptures. Of those tanks that ruptured, 11 resulted in what we call BLEVEs. In this paper, we have defined a BLEVE as the explosive release of expanding vapour and boiling liquid following a catastrophic tank failure. Non-BLEVEs involved tanks that ruptured but which only resulted in a prolonged jet release.

The objective of this study was to investigate why certain tank ruptures lead to a BLEVE rather than a more benign jet-type release. Data are presented to show how wall temperature, wall thickness, liquid temperature and fill level contribute to the BLEVE process.     

CN算法应用于我国23次强震的预测研究

本文用CN算法研究了我国近期大陆东部和西部南北带及邻近区域共23次强震前的TIP,即强震发生概率增长时间。结果表明,18次强震发生在被判定的强震发生概率增长时间的TIP内。TIP警戒约占总研究时空域的30％,获得了较好的中期地震预测效果。表明CN算法可作为强震中期预测的手段之一。     

FLOOD FREQUENCY CHARACTERISTICS OF SOME ARIZONA WATERSHEDS1

The flood frequency characteristics of 18 watersheds in southeastern Arizona were studied using the log-Boughton and the log-Pearson Type 3 distribution. From the flood frequency study, a generalized envelope for Q₁₀₀ for watersheds 0.01 to 4000 mi² in area has been produced for southeastern Arizona. The generalized envelope allows comparisons to be made among the relative flood characteristics of the watersheds used in the study and provides a conservative estimate of Q₁₀₀ for ungaged watersheds in the region.