水库型滑坡灾害综合灾情评价模型研究

分析了滑坡事件的成灾机理,认为滑坡的灾害效应包含孕育灾害的自然环境、社会环境和自然-滑坡体-社会相互作用系统.在此基础上,将滑坡灾害综合灾情评价结构体系分为危险性评价、易损性评价、破坏损失评价、防灾减灾工程评价四个部分.针对水库型点源滑坡,建立了综合灾情评价的连续函数模型.     

三论灾害防御能力的基本定义与特征

综合灾害防御能力评估已成为应急管理业务和研究的重要内容之一.在前期研究基础上,首先从近年来灾害系统的复杂性特征和应急管理的需求角度出发,对综合灾害防御能力进行了再理解,然后对现有灾害防御能力的多属性综合评估方法进行了梳理总结.以气象灾害为例,通过68项指标构建了我国综合气象灾害防御能力的6个单项指标体系,即制度适应能力...     

玉米生态工程建设综合评价：以黑龙江省肇东市为例

文章以黑龙江省肇东市为例 ,通过对该市玉米生态工程建设成效的综合分析与评价 ,得出生态工程建设是当前生态建设的重要措施 ,这一建设手段在肇东市的利用也己取得了明显的效果 ,说明了它在目前生态建设中具有巨大的生命力。但是 ,要使这一技术手段发挥更大的作用 ,必须大力发展先进适用的科学技术。     

生态茶园建设与病虫害综合防治

综述了在茶树病虫害综合防治中生态学原理和农田生态系统科学理论的运用。强调以生态防治，即农业防治和生物防治为主，借助于各种农业技术和现代生物科学手段，在综合防治中尽量少用化学农药，以减少对环境的污染、农药残留及对天敌的伤害，维持茶园生态平衡。     

Spatial statistics for modeling of abundance and distribution of wildlife species in the Masai Mara ecosystem, Kenya

This study illustrates the use of modern statistical procedures for better wildlife management by addressing three key issues: determination of abundance, modeling of animal distributions and variability of diversity in space and time. Prior information in Markov Chain Monte Carlo (MCMC) methods is used to improve estimates of abundance. Measures of autocorrelation are included when modeling distributions of animal counts, and a diversity index to indicate species abundance and richness for large herbivores is developed. Data from the Masai Mara ecosystem in Kenya are used to develop and demonstrate these procedures. The new abundance estimates are up to 35% more accurate than those obtained by existing methods. Significant temporal changes in spatial patterns are found from a space-time analysis of elephant counts over a 20-year period, with strong interactions over 5 km and 6 months space and time separations, respectively. The new diversity index is sensitive to both high abundance and species richness and is also able to capture year to year variation. It indicates an overall marginal decrease in diversity for large herbivores in the Mara ecosystem. The space-time analyses and diversity index can easily be computed thereby providing tools for rapid decision making.     

Continuous dose-response modeling and risk analysis with the gamma and reciprocal gamma distributions

Kodell and West (1993) describe two methods for calculating pointwise upper confidence limits on the risk function with normally distributed responses and using a certain definition of adverse quantitative effect. But Banga et al. (2000) have shown that these normal theory methods break down when applied to skew data. We accordingly develop a risk analysis model and associated likelihood-based methodology when the response follows either a gamma or reciprocal gamma distribution. The model supposes that the shape (index) parameter k of the response distribution is held fixed while the logarithm of the scale parameter is a linear model in terms of the dose level. Existence and uniqueness of the maximum likelihood estimates is established. Asymptotic likelihood-based upper and lower confidence limits on the risk are solutions of the Lagrange equations associated with a constrained optimization problem. Starting values for an iterative solution are obtained by replacing the Lagrange equations by the lowest order terms in their asymptotic expansions. Three methods are then compared for calculating confidence limits on the risk: (i) the aforementioned starting values (LRAL method), (ii) full iterative solution of the Lagrange equations (LREL method), and (iii) bounds obtained using approximate normality of the maximum likelihood estimates with standard errors derived from the information matrix (MLE method). Simulation is used to assess coverage probabilities for the resulting upper confidence limits when the log of the scale parameter is quadratic in the dose level. Results indicate that coverage for the MLE method can be off by as much as 15% points and converges very slowly to nominal coverage levels as the sample size increases. Coverage for the LRAL and LREL methods, on the other hand, is close to nominal levels unless (a) the sample size is small, say N < 25, (b) the index parameter is small, say k 1, and (c) the direction of adversity is to the left for the gamma distribution or to the right for the reciprocal gamma distribution.     

Species abundance estimation using point-to-plant sampling in a design-based setting

A new species abundance estimator is proposed when point-to-plant sampling is adopted in a design-based framework. The method is based on the relationship between each species abundance and the probability density function of the relative squared point-to-plant distance. Using this result, a kernel estimator for species abundance is provided and the nearest neighbor method is suggested for bandwidth selection. The proposed estimator requires no assumptions about the species point patterns nor corrections for sampling near the edges of the study region. Moreover, the estimator shows suitable statistical properties as well as good practical performance as is shown in a simulation study.     

Adaptive two-stage one-per-stratum sampling

We briefly describe adaptive cluster sampling designs in which the initial sample is taken according to a Markov chain one-per-stratum design (Breidt, 1995) and one or more secondary samples are taken within strata if units in the initial sample satisfy a given condition C. An empirical study of the behavior of the estimation procedure is conducted for three small artificial populations for which adaptive sampling is appropriate. The specific sampling strategy used in the empirical study was a single random-start systematic sample with predefined systematic samples within strata when the initially sampled unit in that stratum satisfies C. The bias of the Horvitz-Thompson estimator for this design is usually very small when adaptive sampling is conducted in a population for which it is suited. In addition, we compare the behavior of several alternative estimators of the standard error of the Horvitz-Thompson estimator of the population total. The best estimator of the standard error is population-dependent but it is not unreasonable to use the Horvitz-Thompson estimator of the variance. Unfortunately, the distribution of the estimator is highly skewed hence the usual approach of constructing confidence intervals assuming normality cannot be used here.     

人工湿地去除污水厂尾水中的营养元素和雌激素

利用复合垂直流人工湿地对城镇污水厂尾水进行深度处理,研究了湿地系统对水中营养元素及微量雌激素的去除效果。结果表明：复合垂直流人工湿地对污水厂尾水具有良好的处理效果;水力负荷、填料种类、植物、季节等因素影响湿地处理效果。复合垂直流湿地系统对污染物的去除作用主要发生在下行池前1/6段,种植芦苇的沸石湿地系统处理效果最佳;在水力负荷为0.12 m3·（m2·d）-1时,运行良好的复合垂直流湿地出水水质指标达到《城市污水再生利用景观环境用水水质》标准（GB/T 18921-2002）。     

基于GIS的2.5维场地地震液化势概率评价

用具有概率意义的饱和砂土抗液化强度经验公式对2.5维工程场地进行了地震液化势概率评价,通过Kriging法对目标场地区域进行空间插值,可以对大区域工程场地的液化深度和液化范围进行分析评价;采用不规则三角网表面和四面体综合法共同描述地质体模型,在GIS的3维分析模块支持下建立了液化势可视化模型。研究表明:Kriging法通过已勘测点的土层地震液化势来估计未勘测点的土层地震液化势,能够较好地区划出场地地震液化势的空间分布特征,并对待估点进行预测;利用GIS的3维分析模块,实现2.5维场地地震液化势可视化模型的建立是一条有效的技术路线。