地震火灾损失评估研究

地震火灾是一种严重的震次生灾害,历史地震资料表明,地震火灾造成的损失有时甚至超过地震的直接破坏所造成的损失,本文根据目前我国地震现场灾害的评估方法,结合我国地震结构损失评估的经验,建立了地震火灾损失的评估方法。     

地震灾害损失评估

回顾了我国地震灾害损失评估的发展与现状,介绍了地震灾害损失评估的内容、方法和步骤,探讨了地震灾害损失评估中需要进一步研究的若干问题。     

工业企业噪声监测工作中几个难点问题的探讨

通过举例对噪声监测实践工作中常易遇到的几个具有普遍性的难点问题作一探讨,以提高大家在解决实际问题时对声学理论、噪声标准及测量方法的重视。     

Estimation of the mean in line intercept sampling

Ratio estimation of the parametric mean for a characteristic measured on plants sampled by a line intercept method is presented and evaluated via simulation using different plant dispersion patterns (Poisson, regular cluster, and Poisson cluster), plant width variances, and numbers of lines. The results indicate that on average the estimates are close to the parametric mean under all three dispersion patterns. Given a fixed number of lines, variability of the estimates is similar across dispersion patterns with variability under the Poisson pattern slightly smaller than varia-bility under the cluster patterns. No variance estimates were negative under the Poisson pattern, but some estimates were negative under the cluster patterns for smaller numbers of lines. Variance estimates become closer to zero similarly for all spatial patterns as the number of lines increases. Ratio estimation of the parametric mean in line intercept sampling works better, from the viewpoint of approximate unbiasedness and variability of estimates, under the Poisson pattern with larger numbers of lines than other combinations of spatial patterns, plant width variances and numbers of lines.     

Accuracy assessment of a small-area method for estimating the spatial distribution of the degree of tree damage

Tree damage, gauged by the amount of defoliation, is one of the basic criteria used to determine treatments for protected and economic forests. Monitoring should include an assessment of the degree of tree damage in different spatial scales. Therefore, in addition to the commonly applied large-area methods, small-area methods should be used. The aim of the paper is to present the results of the accuracy assessment of a small-area method, proposed by Podlaski (2005) [Podlaski, R. (2005). Inventory of the degree of tree defoliation in small areas. Forest Ecology and Management, 215, 361–377], for monitoring the degree of tree damage. The degree of tree damage was shown in sub-blocks P₃ of the system of information on natural environment (SINUS). To estimate the spatial distribution of the degree of tree defoliation, survey sampling, based on simple random sampling with replacement (SRSWR), was used. The degree of damage to fir (Abies alba Mill.) and beech (Fagus sylvatica L.) was analysed in the Święty Krzyż forest section in the Świętokrzyski National Park. The maximum total estimation errors for the proportion of trees with a degree zero of damage, and with second and third degrees of damage together (for α = 0.05) were at most 30.8% for fir and 24.3% for beech trees. For standard, small-area evaluations, these are satisfactory values. In the Święty Krzyż forest section, the number of P₃ sub-blocks with 0.00–5.00% of undamaged trees and with 80.01–100.00% of moderately- or severely-damaged trees was significantly greater for fir than for beech. These results indicate that the fir population was unhealthier than the beech group in the study area. P₃ sub-blocks of the SINUS system, in which the proportion of the healthiest trees was highest, were situated at the forest margin, bordering on meadows and arable fields (in the case of fir) and forming dense patches consisting of several sub-blocks, or occurring singly in the whole study area (in the case of beech). The results show the significant differentiation of forest tree health in small areas.     

石化装置停工放空的VOCs排放估算参数要求探讨

石化装置开停工及检维修过程中的泄压吹扫放空是石化企业VOCs的重要排放源项之一。分析了我国石化企业对停工及检维修的现行操作规范与《石化行业VOCs污染源排查工作指南》中对该源项核算方法参数要求的不符之处,并参照美国炼油厂有毒有害空气污染物国家排放标准的相关规定,提出了监测和操作方面的改进建议。     

Kriging and Bilinear Methods for Estimating Spatial Pattern of Atmospheric Pollutants

Two statistical methods to reconstruct the spatial pattern ofenvironmental data are compared: the Kriging and the Bilinear.The comparison is performed by evaluating two differentcharacteristics of the methods: the interpolation and the estimation. The Kriging method is demonstrated to be better thanthe Bilinear regarding all the statistics studied, although thedifferences are not very significant. Especially, the Kriging ismore efficient than the Bilinear in the reconstruction of peakvalues and it does not extrapolate local trends. The methods areapplied to a set of environmental data measured in an urban area.     

污染模型中参数订正的集合Kalman滤波扩展状态变量法

污染模型中不确定参数的精确订正对于提高模型的精度有着重要的意义。在集合Kalman滤波（EnKF）同化方法的基础上,提出了对模型中不确定参数进行订正的EnKF扩展状态变量法,将不确定参数看成和模型状态变量一样的量,根据观测资料对不确定变量进行订正,以达到订正参数的目的。采用一个简化的空气质量方程,对模型参数订正方案进行检验,结果证明,提出的方案可行和有效。同时发现,随着观测资料精度的提高,无论是参数还是模型的状态变量,估计分析值的精度也得到相应的提高。     

长江中下游夏季极端降水事件频次的统计降尺度模拟与预估

利用CMIP5三个耦合模式的历史模拟及不同情景预测结果、NCEP/NCAR再分析资料和长江中下游观测降水资料,采用统计降尺度方法对长江中下游夏季极端降水频次进行模拟和预估。首先,通过计算相关的方法,获取建立统计降尺度预测模型所需的预测因子。提取的预测因子同时满足既是观测环流要素场影响极端降水的关键区域,又是模式要素场预报的高技巧区域两个条件;然后,结合挑选出的预测因子,利用多元线性回归方法建立长江中下游极端降水的统计降尺度预测模型,并对模型性能进行检验。交叉检验结果表明,此种统计降尺度方法能对过去长江中下游极端降水变化有较好的再现能力,且多个降尺度模型结果的集合能进一步提高降尺度方法的模拟技巧;最后,将建立的统计降尺度模型应用于CMIP5未来3种不同的排放情景来对极端降水进行未来预估,并对多模式结果进行集合。结果显示,统计降尺度模型预估未来几个年代际长江中下游夏季极端降水频次相对于1986~2005年呈增加趋势,21世纪中、后期高排放情景下极端降水频次增加幅度高于低排放情景。     

近30 a长三角地区港口规模分布演化分析

以港口货物吞吐量和港口集装箱吞吐量为指标,运用首位度、位序-规模法则和Kernel密度估计对长三角地区港口规模分布进行研究。结果表明:(1)长三角地区港口等级规模分布由首位分布向位序-规模分布演变;港口货物运输与集装箱运输的首位分布特征演变具有内在一致性,但演变态势、具体时点等方面存在差异;港口体系结构由单核枢纽演变为双核枢纽,并有望形成三足鼎立新格局;(2)长三角地区港口规模分布逐步优化,等级结构不断趋于合理,港口体系基本满足位序-规模法则,但还没有达到理想状态;港口体系呈现分散化发展态势,集装箱技术的应用减缓了港口体系的分散化发展;(3)港口货物吞吐量与港口集装箱吞吐量的核密度曲线由多峰结构分别变为双峰结构和单峰结构,货物运输和集装箱运输均向协调态势发展。