水资源安全的度量:水资源承载力的研究与挑战

水资源承载力是对水资源安全的一个基本度量,研究水资源承载力对于认识和建设水资源安全保障体系具有重要意义。基于水资源承载力的定义和水资源承载力系统关系,论文给出了水资源承载力的度量与计算方法,包括可利用水资源量、水资源需求量的计算,流域水资源承载力平衡指数、水资源承载力分量的测度等。西北干旱区是我国水资源极为短缺的地区,因此,论文就西北干旱区水资源承载力综合研究的一些关键问题,如变化环境下的流域水循环模拟研究、生态需水研究等进行了重点讨论,并认为水资源承载力的进一步研究应加强水文基础与水资源、社会经济学科的综合研究,促进RS、GIS等信息技术和现有模型方法的结合,并重视区域差异研究。     

利用人工神经网络对空气中O3浓度进行预测

将人工神经网络应用于对空气中O3的浓度预测,提出了完整的预测模型,选取风速、风向、相对湿度、云量、平均气温、最高气温等6项气象因子作为输入量,经过两个月的预测实验,结果表明,实测值与预测值的平均相对误差为21.49%,相关系数为0.837.表明人工神经网络对O3的浓度预测是一种有效的工具.     

水安全保障问题浅议

自然界的水与其它矿产资源的不同,是具有利和有害的二重性。水既有可资利用以为人类社会服务的一面,又有因水带来的危害,如洪涝、干旱现象以及水致疾病的传播的一面。因此,为加强水的安全保障作用,需采取一系列的工程和非工程措施所建立的系统,并在实施该系统时注意以下方面,包括:在确保水源不受损害的条件下为各类用水要求提供适当保证程度的供水,在适应国家经济发展水平和综合国力的前提下,采用适当标准进行江河治理,以努力减轻各类因水引起的灾害损失;千方百计增加可利用水量,开辟新水源;大力推行合理用水和节约用水技术;非常重视保护环境,特别是保护生态系统,以维护人类自下而上环境的持续发展。     

基于BN的锅炉超压爆炸事故原因推理与故障诊断

分析了锅炉爆炸的原因,讨论了事故树与贝叶斯网络的特点,编制了以"锅炉超压爆炸事故"为顶事件的事故树,将其转化为锅炉超压爆炸事故贝叶斯网络拓扑结构,利用贝叶斯网络的技术优势,针对锅炉超压爆炸事故贝叶斯网络拓扑结构分别进行了原因推理与诊断推理。实例应用表明,在原因推理中,根节点V_1(压力上升)发生时锅炉超压爆炸事故发生的可能性最高;在诊断推理中,当锅炉超压爆炸事故发生时,根节点V_1(压力上升)一定发生,其次为V_4(定压不准),V_(11)(未装疏水管)发生的可能性最小,为企业进行锅炉超压爆炸事故预测与故障诊断提供了理论依据。     

煤尘润湿接触角的BP神经网络估算方法研究

通过采集和测定35个矿区煤样品的化学组成、结构参数和润湿接触角,构建了以13个影响因子为输入参数和以接触角为输出目标的3层BP人工神经网络,并利用该模型估算煤尘润湿接触角。结果表明,隐含层节点数为19时,接触角估算值与实测值的决定系数R2=0.957,平均相对误差为4.59%,表明基于BP神经网络建立的煤尘润湿接触角估算模型具有很高的精度。     

Elman神经网络在矿井突水水源判别中的应用

矿井突水是矿建与生产过程中最具威胁的自然灾害之一,准确判别突水水源是防治水害的关键。选取6种离子的质量浓度作为突水水源的判别因素,将河南省焦作矿区不同水层的39组水化数据以2种样本设计方案进行Elman神经网络模型的构建与检验。以不同的35组水源样品作为训练样本,运用Matlab软件进行Elman神经网络训练,将所建立的判别模型应用于(相应的)4组待测样本的判别,并与DDA、FDA、Bayes三种判别方法的判别结果进行分析比较。2种方案应用结果表明:将具有非线性动态特征的Elman神经网络应用于突水水源判别,在结合相应的水文地质条件前提下,可以准确判断突水来源;矿井多年的开采促使地下各水层水质呈动态变化,Elman神经网络判别模型能够反映这种变化特性,对探寻地下水运移与演化具有一定的应用价值。     

基于灰色马尔科夫模型的机场安检危险品数量预测

机场安检的危险品数量具有动态、随机、非线性等特点,传统的GM(1,1)模型无法对其作出准确的预测。利用灰色GM(1,1)模型对2014年1—5月所查获的危险品数量进行计算、检验,并对6—8月的危险品数量进行预测。首先建立危险品数量的GM(1,1)模型,然后再对其预测值进行修正,结果表明,灰色马尔科夫模型的平均相对误差比灰色预测模型的平均相对误差减小了25.18%,表明灰色马尔科夫模型比单一的灰色预测模型的精度高,该模型是有效可行的,可为航空公司6—8月将要查获的危险品数量预测提供理论基础,以便引起相关部门的高度重视,并采取相应措施以保障旅客安全。     

Property rights integrity,tenure security and forestland rental market participation: Evidence from Jiangxi Province,China

The decentralization of property rights is the focus of the forest tenure reforms in several developing countries. In China, it was achieved by the launch of a new round of collective forest tenure reform beginning in 2003, which provided farmers with more integrated and secure forestland rights. Drawing on household data collected in Jiangxi province in 2011 and 2013, this paper examines the impacts of households’ recognition of property rights and improved tenure security on forestland rental activities. Our empirical results show that households with higher perceptions of more complete use rights and mortgage rights have a lower probability and intensity of renting‐in land, while households with lower expectations of future forestland redistribution or expropriation are more likely to rent in forestland and more of it. These results imply that the development of a forestland rental market leading to better forest management requires an integrated forestland management approach consisting of decentralization of property rights and village governance. In particular, the central government may further clarify the rights and obligations affiliated to forestland ownership, contractual rights, and management rights; while the village collective may shift from direct intervention in the integrity and security of forestland rights to the supervision and protection of decentralized forestland rights to increase efficiency from the decentralization of property rights.     

A framework for sustainable supply chain in emerging economies

Sustainable supply chains (SSC) are an essential topic in emerging economies for achieving sustainable development. Because of their rapid economic growth, emerging economies are experiencing both sides of this development: the well‐being enhancement and the environmental impact. However, decision makers and practitioners do not have robust models for managing supply networks that consider the sustainability complexities. This study aims to provide a better understanding of SSC in emerging economies and proposes a generic framework to improve the decision‐making process. Based on a review of the literature, a decision framework for sustainability is proposed. A green sustainable decision concept is also discussed in the SSC literature. This study has implications for scholars, decision makers, and practitioners interested in advancing the SSC field based on an extension of the framework.     

Energy policies and environmental security: A multi-criteria analysis of energy policies of Pakistan

Access to affordable and efficient energy is a basic human right and an imperative for human development. The energy policies usually ponder technical, economic, environmental, and social aspects for successful procurement of energy and endowment of energy resources. The objectives of this paper are to analyze energy policies in Pakistan and assess their relationship with environmental security and development. An empirical and multi-criteria decision analysis was used to unfold the strong interactions of energy security with development and environment. The energy policies in Pakistan are more equipped with economic and technical aspects, fairly framed with social aspects and poorly pampered with environmental facets. The dearth of environmental aspects will not only results in environmental degradation but also lag the development and achievement of Sustainable Development Goals.