基于结构方程的旅游环境承载系统耦合关联与作用机理

构建旅游环境承载力评价体系,运用耦合度指数和结构方程模型揭示山东半岛蓝色经济区旅游环境承载系统的耦合演化规律和动态关联特征.研究表明,半岛蓝色经济区7市各子系统的承载指数均呈增长态势,各承载子系统之间存在耦合作用,协调发展水平均稳步上升,生态承载子系统对经济承载子系统产生正影响,社会承载子系统可通过生态承载子系统对经济承载子系统产生正向影响力.     

Modelling individual preferences for environmental policy drivers: Empirical evidence of Italian lifestyle changes using a latent class approach

Degraded air quality severely affects the health of citizens worldwide. The design of effective policies requires exploring public preferences for environmental and air quality policy instruments. Within the EC-FP7 SEFIRA project, using a choice experiment that stresses the trade-offs between attributes, this study investigates public preferences for environmental policy drivers in Italy. The main objective is to investigate the role played by selected policy drivers in determining policy preferences, complemented by elasticity and willingness to pay estimations. Preference heterogeneity and the role of socio-economic and attitudinal variables are explored with a latent class model over 2400 respondents sampled across Italy. The results allow identifying the different role played by the policy drivers across the classes. It emerged that most of the respondents (43%) are particularly sensitive to the cost components (cost sensitive respondents). The remaining respondents instead show an important sensitivity towards personal engagement in term of changes in the mobility and eating habits (lifestyle-change sensitive respondents). However, while 29% of them perceive these habits’ changes as negatively impacting on the personal utility, the other 28% of respondents translate the potential changes in the habitual behaviour of driving and eating as environmental and health benefits. Based on the modelling results, potential policies are simulated reporting respondents’ reaction to selected scenarios. It shows the crucial role played by reduction of premature deaths due to atmospheric pollution and measure cost.     

可持续发展环境约束条件下的水资源最优配置及实证研究

在相关理论分析和Weber模型的基础上。拓展建立了面向水资源可持续发展的水资源最优配置模型。引入了基于政府管制的影响作用、沿河流域的水用户的实际消耗水量、实际排放水量、河流中可供使用水量及所排放污水水质水平等5个变量函数．通过政府管制下的水质和水量的河道内流量需求等环境约束条件．确保水资源利用始终满足最小基流水量。通过求量优解，计算得出在环境约束下达到最优配置时各个变量函数与对下游地区外部性之间的相关性。接着。本文对陕北黄土高原沿Y河的35家企业进行了实际调查．收集了2个年度共8个季度的观测值，应用计量经济Pand Data模型。对35个节点、8个季度的共280个数据作为混合样本进行经济计量分析。验证了相关结论。最后。还提出一些制定环境约束条件以及水用户间建立水资源环境生态补偿金机制等政策建议。     

The Impact of Increased Environmental Stochasticity Due to Climate Change on the Dynamics of Asiatic Wild Ass

Abstract:  Theory proposes that increased environmental stochasticity negatively impacts population viability. Thus, in addition to the directional changes predicted for weather parameters under global climate change (GCC), the increase in variance of these parameters may also have a negative effect on biodiversity. As a case study, we assessed the impact of interannual variance in precipitation on the viability of an Asiatic wild ass ( Equus hemionus ) population reintroduced in Makhtesh Ramon Nature Reserve, Israel. We monitored the population from 1985 to 1999 to determine what environmental factors affect reproductive success. Annual precipitation during the year before conception, drought conditions during gestation, and population size determined reproductive success. We used the parameters derived from this model to assess population performance under various scenarios in a Leslie matrix type model with demographic and environmental stochasticity. Specifically, we used a change in the precipitation regime in our study area to formulate a GCC scenario and compared the simulated dynamics of the population with a no-change scenario. The coefficient of variation in population size under the global change scenario was 30% higher than under the no-change scenario. Minor die-offs (≥15%) following droughts increased extinction probability nearly 10-fold. Our results support the idea that an increase in environmental stochasticity due to GCC may, in itself, pose a significant threat to biodiversity.     

烟台市宏观经济动态投入产出模型

该模型具有长期经济协调预测、优化和模拟的功能,它将国民经济分为16个部门,充分考虑了影响国民经济各部门变化的主要因素,在供需、资金、流入流出、水资源、环境等均衡约束条件下,以 1990年不变价格,采用线性规划方法,逐年滚动优化预测了1991～2020年烟台市国民经济发展的趋势、产业结构和规模等各项指标。     

应用指数平滑法建立城市工业三废排放量预测模型

指数平滑法是常用的一种时间序列预测方法，但用于环境预测的先例则较少。本文以南通市１９８１－１９９０年工业三废排放量时间序列为例，简要介绍了该法的原理以及平滑计算、建模、预测和精度分析的过程，并对其在环境预测中的应用效果进行了探讨，结果表明，该法与目前环境预测中常用的回归法相比，具有数据来源较易，不需要特殊分布，计算简单，精度较高等明显的优点，充分显示出该法在环境预测中应用的可行性。     

Mechanisms of changes in population numbers of Caucasian red deer (<Emphasis Type="Italic">Cervus elaphus maral</Emphasis>) in the northwestern Caucasus

Mechanisms of changes in the numbers of red deer in the Caucasian State Biosphere Reserve (the northwestern Caucasus) were studied from 1958 to 2004 using simulation models developed on the basis of concepts concerning the combined effect of density-dependent and density-independent factors. The results show that changes in population numbers are accounted for by larger (more numerous) local subunits, with small groups remaining relatively stable. In the periods of depression, such a mechanism provides for the maintenance of the spatial population structure.     

Population dynamics of the bank vole as studied using sequence functions

Sequence functions were used to construct a simulation model of the long-term population dynamics of the bank vole in Karelia. The mechanisms of population reproduction control affect the population size if it is greater than 1 and 4 ind./100 trap-days in spring and autumn, respectively.     

Validation of a Lagrangian dispersion model implementing different kernel methods for density reconstruction

In this paper the inert version of a Lagrangian particle model named photochemical Lagrangian particle model (PLPM) is described and validated. PLPM implements four density reconstruction algorithms based on the kernel density estimator. All these methods are fully grid-free but they differ each other in considering local or global features of the particles distribution, in treating the Cartesian directions separately or together and in being based on receptors or particles positions in space. Each kernel has been shown to have both advantages and disadvantages, but the overall good performances of the model when compared with the well known Copenhagen and Kincaid data sets are very encouraging in view of its extension to fully chemically active simulations, currently under development.