农作物品种单一化的影响

绿色革命是人与自然关系的产物--集约型农业与高产农业的一大壮举.但绿色革命带来的负面影响也是巨大的,主要是农作物品种单一化引起的农业种质资源的减少和农业生态系统的脆弱.本文就绿色革命的这一负面影响进行阐述并提出对策.     

滞洪型平原水库蓄水对水环境影响分析及其协同调控研究

本文通过滞洪型水库运行机理的介绍,以石佛寺水库为例,提出利用地表水和地下水协同调控解决蓄水带来的环境负效应,通过建立库区水环境统一模型,利用数值模拟方法分析预测水库蓄水对环境的影响,并对解决水库蓄水产生的环境负效应进行方案的优化选择,最终提出地表水库蓄水和地下水库供水的最优方案.     

现阶段城市物流绿色化发展趋势的动因与对策研究

城市物流形成绿色化发展趋势的主要动因在于汽车运输业的迅速发展及其给城市环境与人们生活质量所造成的巨大影响上.二战以后,汽车运输业的迅速发展和在给社会提供迅速、便捷与准确服务的同时,也给城市的环境造成了严重的负面影响;尤其是由于城市路网和货物运输中心等基础设施既落后且缺乏科学的规划,无形中更加剧了城市物流与城市环境保护之间的矛盾.为实现城市物流的绿色化发展,实践中就有必要合理规划城市物流系统、通过多式联运以尽量降低卡车运输量的比例、积极应用信息技术以推进和实现物流管理的智能化、发展第三方物流实现共同配送.     

我校建立灾害经济学学科的重要性

本文回顾了灾害经济学的发展历程,分析了灾害经济学的理论框架及与其他学科的关系,从经济学的角度阐述了建立这一学科的必要性,并探讨了建立这一学科的基础条件.全文从经济学的角度阐述了建立这一学科的必要性.并探讨了建立这一学科所要研究的理论知识.     

物质的污染负价值及其最小化模式探讨

从环境的角度提出了物质具有蓄价值、正价值、负价值三种价值状态 ,并着重分析了物质的污染负价值的组成、量化方法框架 ,在此基础上进一步探讨了物质污染负价值最小化三种理论途径     

黄土地基湿陷时桩的负摩阻力最大值出现深度研究

负摩阻力及中性点的定义表明,负摩阻力沿桩身(从桩顶两侧到中性点位置)的变化并不均匀,其间应存在一个最大值,最近的黄土地基浸水湿陷试验证明了这一点。本文利用该试验的资料,从理论上对桩的负摩阻力最大值出现深度进行分析研究,结果表明负摩阻力随深度的变化受到某一深度(如负摩阻力最大值处)以上土体有效重量和该深度桩周土体的有效沉降量这两个主要因素的制约,并由此推导出不同沉降性能土体湿陷时桩的负摩阻力最大值出现的深度。通过与实测资料的对比可见,本文提出的确定桩的负摩阻力最大值出现深度的理论是可信的,由此得到的计算黄土地基湿陷时桩身总的负摩阻力的方法更具合理性。     

Ⅱ824-2综放工作面瓦斯综合治理试验研究

通过对淮北芦岭矿Ⅱ824-2综放工作面瓦斯综合治理的试验研究,摸索出了高瓦斯综放工作面瓦斯治理的有效方法,取得了较好的瓦斯抽放和通风排放效果.     

Population dynamics and regulation in the cave salamander <Emphasis Type="Italic">Speleomantes strinatii</Emphasis>

Time series analysis has been used to evaluate the mechanisms regulating population dynamics of mammals and insects, but has been rarely applied to amphibian populations. In this study, the influence of endogenous (density-dependent) and exogenous (density-independent) factors regulating population dynamics of the terrestrial plethodontid salamander Speleomantes strinatii was analysed by means of time series and multiple regression analyses. During the period 1993–2005, S. strinatii population abundance, estimated by a standardised temporary removal method, displayed relatively low fluctuations, and the autocorrelation function (ACF) analysis showed that the time series had a noncyclic structure. The partial rate correlation function (PRCF) indicated that a strong first-order negative feedback dominated the endogenous dynamics. Stepwise multiple regression analysis showed that the only climatic factor influencing population growth rate was the minimum winter temperature. Thus, at least during the study period, endogenous, density-dependent negative feedback was the main factor affecting the growth rate of the salamander population, whereas stochastic environmental variables, such as temperature and rainfall, seemed to play a minor role in regulation. These results stress the importance of considering both exogenous and endogenous factors when analysing amphibian long-term population dynamics.     

The application of generalized linear mixed models to multi-level sampling for insect population monitoring

Iwao's quadratic regression or Taylor's Power Law (TPL) are commonly used to model the variance as a function of the mean for sample counts of insect populations which exhibit spatial aggregation. The modeled variance and distribution of the mean are typically used in pest management programs to decide if the population is above the action threshold in any management unit (MU) (e.g., orchard, forest compartment). For nested or multi-level sampling the usual two-stage modeling procedure first obtains the sample variance for each MU and sampling level using ANOVA and then fits a regression of variance on the mean for each level using either Iwao or TPL variance models. Here this approach is compared to the single-stage procedure of fitting a generalized linear mixed model (GLMM) directly to the count data with both approaches demonstrated using 2-level sampling. GLMMs and additive GLMMs (AGLMMs) with conditional Poisson variance function as well as the extension to the negative binomial are described. Generalization to more than two sampling levels is outlined. Formulae for calculating optimal relative sample sizes (ORSS) and the operating characteristic curve for the control decision are given for each model. The ORSS are independent of the mean in the case of the AGLMMs. The application described is estimation of the variance of the mean number of leaves per shoot occupied by immature stages of a defoliator of eucalypts, the Tasmanian Eucalyptus leaf beetle, based on a sample of trees within plots from each forest compartment. Historical population monitoring data were fitted using the above approaches.     

双重外部性约束下中国资源型企业绩效研究

中国资源型产业的可持续发展受到代际外部性与环境外部性的双重制约,却长期存在过度进入导致的过度开采,加剧了资源型企业的产能过剩与配置扭曲,但与此相关的"结构-行为-绩效"关系研究尚未将外部性纳入考量。本文引入双重外部性,构建了"SCP-2E"模型,并基于80家资源开采上市公司2011-2014年的面板数据,首先运用使用者成本法和条件估值法分别估算了代际外部性和环境外部性,然后将它们作为企业行为的因变量和影响绩效的自变量分别纳入资源型企业的SCP-2E模型中,同时考虑双重外部性下市场结构、所有权性质等因素对绩效的影响。结果发现,中国资源型产业有着明显的周期性特征,而2011年以来资源型企业的兼并重组只是单纯扩大了企业规模,而没有切实提高企业效率;进一步结合企业规模和所有权性质的相关性来看,大型企业多以国有企业为主,由此说明企业规模扩大、绩效却显著降低的原因在很大程度是由于国有企业的低效率造成的;另外,目前企业绩效的提高,主要还是依赖于地区经济增长的拉动,但在用电量增速较快的地区,也伴随着较大的环境外部性损失,暂时没有受到资源枯竭的约束。基于以上结论,本文认为,监管部门应加强资源开采权的审查,提高资源型企业的进入门槛和技术标准,适当鼓励企业在不增加生产投资和规模的前提下,通过技术进步和劳动效率的提高提升绩效,而国有企业改革力度重点应放在解决大型国企的低效率问题上。政府应该权衡经济增长与代际和环境负外部性,在保证能源、资源安全的前提下,鼓励和扩大可耗竭资源的进口,逐步建立国家和企业的战略资源储备制度。