定量风险评价技术在管道城市穿越段的应用

介绍了管道高后果区定量风险评价的方法和风险可接收标准.将定量风险评价技术在我国某长输原油管道城市穿越段的应用表明,定量风险评价方法适用于人口密集的管道高后果区,能对管道高后果区的风险管理、决策提供重要的参考.     

中国东部沿海省市风暴潮经济损失风险区划

风暴潮是我国沿海省市面临的重大自然灾害之一,给这些地区造成了难以估量的损失。选取1989-2008年沿海11省、市、自治区风暴潮的历史数据作为研究样本,运用因子得分基础上的聚类分析和熵值评价等方法,对这些地区风暴潮灾害经济损失的风险进行了评估,最终按风暴潮灾害的经济损失程度将沿海省市划分为3个区域:即上海为第1区,表示风暴潮经济损失风险最小;海南、福建、浙江、广东4省为第3区,风险最大;其他省、市、自治区为第2区,表示经济损失风险居中。3个区域的灾害区划,为我们从更深层次上认识风暴潮的发生及是造成的损失情况提供了新的视角。     

基于“三生”适宜性的县域土地利用冲突识别与分析

精准识别潜在土地利用冲突有利于预警权衡和协调冲突用地,有利于科学进行国土空间规划。以“三调”修正数据为基础,基于生产、生活、生态视角,构建高植被覆盖率县域生产、生活、生态即“三生”适宜性评价模型与土地利用冲突识别矩阵,并选取横峰县进行实证分析。结果表明:（1）横峰县“三生”适宜性用地的空间分布与面积构成差异显著,且存在明显的空间叠加特征,暗示着研究区土地利用存在冲突;（2）从潜在冲突识别的结果来看,土地利用适宜区、冲突激烈区、冲突中度区、冲突一般区及冲突微弱区面积占比分别为64.02%、9.66%、17.19%、1.66%、7.48%;（3）各个冲突类型区空间分布、表现形式的差异性决定了冲突和解的对策也需因地制宜。研究结果可为相关及类似县域的国土空间规划提供理论参考。     

基于L-R-D视角下长三角地区民宿旅游集聚区的发展模式

大众休闲时代下,民宿旅游已经成为统筹城乡发展、盘活旅游经济、助力乡村振兴和旅游扶贫的新动能。而作为产业集聚的特殊类型和表现方式,民宿旅游集聚区是衡量区域民宿发展水平的重要标志,但对其学术关注明显不足。通过对依托区位（L-Location）、核心旅游资源（R-Resource）、主要动力（D-Dynamic）三要素的内涵提炼,构建民宿旅游集聚发展的L-R-D理论视角,并以民宿发展在全国具有引领作用的长三角地区为案例地进行验证,重点分析了城市景区市场主导型、城郊休闲度假市场主导型、乡村古村落政府主导型、乡村养老市场主导型和乡村景区市场主导型五种典型发展模式,为民宿旅游集聚区提质增效与整合升级提供坚实支撑和科学参考。     

卡尔曼滤波-分光光度法同时测定长江、嘉陵江地表水中微量铜、镉、锌和铅

以2-(5-溴-2-吡啶偶氮)-5-二乙氨基酚为螯合剂,三氯甲烷为萃取剂,采用卡尔曼滤波和分光光度法同时分析长江和嘉陵江现场采集的地表水样中Cu~(2 ),Cd~(2 ),Zn~(2 )和Pb~(2 )的浓度.4种金属离子的实验室回收率在91.0%-113.1%之间;比较长江、嘉陵江国控点例行监测数据,本方法具有较好的可比性和可靠性,能直接应用于江河水样多种金属污染物的同时定量分析.     

基于稳健统计的土壤环境背景值研究及应用

使用稳健统计方法中的位置估计量和尺度估计量对我国某受到人为干扰的地下水水源地C层土壤重金属的背景值进行了研究.结果表明,稳健统计方法对样本中的异常值有较高的耐抗性,计算结果与常规方法相近,因而适用于某些人为干扰地区的土壤环境背景值研究.对该水源地背景值的计算表明,该地区C层土壤Cu,Pb,Cd,Cr,As和Hg的背景值中心分别为21.2,32.5,0.103,60.3,11.0和0.012 mg/kg,其中w(Pb),w(Cd)和w(As)高于山东省平均值. 6种重金属的阈值分别为29.0,43.7,0.143,93.5,21.0和0.080 mg/kg,均小于全国平均上限值,但其中Pb,Cr,As的阈值高于土壤环境质量一级标准. 基于该地区背景值的污染累积指数评价表明,该地区主要重金属污染物为Pb和Hg,主要污染区为污水沟渠周边,污染深度为1～3 m.      

EVALUATION OF THE ROSGEN STREAM CLASSIFICATION SYSTEM IN CHEQUAMEGON‐NICOLET NATIONAL FOREST,WISCONSIN1

ABSTRACT: Data collected from 121 stream reaches during 1991 to 1993 were evaluated to determine the applicability of the Rosgen Stream Classification System (RSCS) to the low relief terrain within the Chequamegon‐Nicolet National Forest (CNNF) in Wisconsin, USA. All reaches were classified to RSCS Level I and II except that 10.7 percent had sinuosities below the continuum limits and one reach had a predominantly organic substrate. Five of eight possible RSCS Level I types were observed including B, C, D, A, E, and F; 86 percent were C and E types. Seventeen of 94 possible RSCS Level II types were observed. Most reaches were slightly entrenched, had low to moderate width/depth ratios, relatively low sinuosity, low slope, and sand or gravel as the dominant channel material. Discriminant analyses were used to verify the applicability of RSCS for streams within the CNNF; discriminant functions correctly classified 92.5 and 94.7 percent of the Level I and II RSCS types, respectively. When limits for E and F types were modified slightly at Level II by adding an additional category for slopes less than 0.1 percent (a modification we recommend for low relief terrain), discriminant functions correctly classified 99.1 percent of the types. Adding another slope break at 0.3 percent produced similar results. Based on our analyses, RSCS works well within the CNNF and is probably applicable to other areas with low‐relief terrain.     

Urban expansion and its contribution to the regional carbon emissions: Using the model based on the population density distribution

The method is used for calculating regional urban area dynamics and the resulting carbon emissions (from the land-conversion) for the period of 1980 till 2050 for the eight world regions. This approach is based on the fact that the spatial distribution of population density is close to the two-parametric Γ-distribution [Kendall, M.G., Stuart, A., 1958. The Advanced Theory of Statistics, vol. 1.2. Academic Press, New York; Vaughn, R., 1987. Urban Spatial Traffic Patterns, Pion, London]. The developed model provides us with the scenario of urbanisation, based on which the regional and world dynamics of carbon emissions and export from cities, and the annual total urban carbon balance are estimated. According to our estimations, world annual emissions of carbon as a result of urbanisation increase up to 1.25 GtC in 2005 and begin to decrease afterwards. If we compare the emission maximum with the annual emission caused by deforestation, 1.36 GtC per year, then we can say that the role of urbanised territories (UT) in the global carbon balance is of a comparable magnitude. Regarding the world annual export of carbon from UT, we observe its monotonous growth by three times, reaching 505 MtC. The latter, is comparable to the amount of carbon transported by rivers into the ocean (196–537 MtC). The current model shows that urbanisation is inhibited in the interval 2020–2030, and by 2050 the growth of urbanised areas would almost stop. Hence, the total balance, being almost constant until 2000, then starts to decrease at an almost constant rate. By the end of the XXI century, the total carbon balance will be equal to zero, with the exchange flows fully balanced, and may even be negative, with the system beginning to take up carbon from the atmosphere, i.e., becomes a “sink”. The regional dynamics is somewhat more complex, i.e., some regions, like China, Asia and Pacific are being active sources of Carbon through the studied period, while others are changing from source to sink or continue to be neutral in respect the GCC.     

鲁西北地区现状农业土地资源劳动力承载力模拟

传统农区农业劳动力的出路问题是中国目前面临的一个重要经济和社会问题,论文从农业土地资源劳动力承载力评价角度,对这一问题进行了探讨。提出了最小劳均耕地面积、农业土地资源劳动力承载力、规模种植压力指数和农业土地资源劳动力承载力指数的概念及模型,在建立模型分析农业土地资源劳动力承载能力的基础上估算劳动力的剩余。结果如下:在现实收入水平下,鲁西北地区最小劳均耕地面积为0.39hm₂,而实际劳均耕地面积为0.34hm₂;在现实收入水平下,鲁西北地区约有53.3×104个劳动力需要转移,剩余劳动力约占农林牧渔业总劳动力的14.9％;规模种植压力指数K=1.18>1,表明耕地处于正压力状态(承受压力)。说明目前鲁西北地区单位农林牧渔业劳动力所拥有的耕地规模较小,致使劳动生产率难以提高,农民收入增加缓慢,要大力提高农业劳动生产率,必须缩减从事农业的劳动力规模,寻求剩余劳动力转移的有效途径。     

巢湖周边表土中有机质、全氮和全磷空间分布及其相关性

测定了巢湖周边3 528 km2范围内60个混合土样中的有机质(organic matter,OM)、全氮(total nitrogen,TN)和全磷(total phosphorus,TP)含量,通过GS 7.0+地统计学分析软件、Surfer 8.0及Mapinfo 8.5软件研究了这3种营养盐的空间分布,并使用SPSS 17.0软件对各指标间的相关性进行了分析.结果表明:①巢湖周边表土中ω(OM)、ω(TN)和ω(TP)平均值依次为19 500、1 027和483 mg.kg-1,东巢湖表土中ω(OM)和ω(TN)均值高于西巢湖,而磷矿的存在导致了ω(TP)均值西高东低;②位于巢湖西南的杭埠-丰乐河和白石天河周边表土中(TP)本底值较高,且水土流失十分严重,巢湖面源污染管理必须高度重视该两河的TP控制;③在线性模型下,巢湖周边表土中ω(OM)、ω(TN)和ω(TP)的块金值/基台值依次为0.015、0.202和0.128.巢湖周边表土中ω(OM)、ω(TN)和ω(TP)具有极强的空间自相关性,三者Pearson检验为两两显著相关,巢湖周边表土中ω(TN)和ω(TP)可由ω(OM)通过文中所得的公式估算,精度能满足日常管理需要.