既有地下空间设施安全性耐久性的模糊数学评价研究

本文利用模糊数学综合评价方法,对地下空间设施进行安全性和耐久性水平进行评价。建立反映地下设施安全性和耐久性水平的指标体系,并选定各基本评价因子,按照评价等级给各指标建立打分表,通过技术人员的打分建立评价矩阵以代替隶属函数,再用AHP法建立权重向量,用二级综合评价模型对目标系统进行评价,为地下设施的安全性和耐久性能提供有效的参考信息。     

A geographic perspective on intra-urban racial/ethnic diversity, segregation, and clustering in Knoxville, Tennessee: 1990-2000

Racial/ethnic diversity in the United States has increased significantly in recent decades, with minority groups now accounting for almost one-third of the total population. At the same time, growing diversity has spread into rural and non-metropolitan areas. Research suggests that changing diversity in the ‘New South’ has seen growth of non-Black communities. The question, however, is the degree to which increasing diversity equates with increasing intermixing or, alternatively, whether racial/ethnic clusters retain their prominence. This paper examines the geographic manifestations of growing racial/ethnic diversity within intra-urban context, using census-tracts as scale of analysis in the metropolitan statistical area (MSA) of Knoxville in Tennessee. The statistics used for analyzing intra-urban variations include Diversity Score, Theil Entropy Index, and Location Quotient. Tract and Block-group data for White, Black, American Indian, Asian, All Others and Hispanic are used for computing these indices. This paper concludes that diversity has increased during 1990-2000, and has dispersed into suburban counties. However, segregation and clustering for certain minority groups has also increased, in particular African-Americans still remain the most segregated and most clustered community confined to specific geographic locations. This research holds significance as local economic development patterns are very much guided by the geographic variability of human and social capital. Applied research can suggest avenues for growth and can help rebuild local communities. This paper will also contribute to literature focusing on methodological challenges in measuring diversity and its geographic manifestations.     

Exploring the marine biotic index (AMBI): variations on a theme by Ángel Borja

The results of manipulating the input data to AMBI are explored using various transformations of numerical species abundance (NAMBI), biomass (BAMBI) and production (PAMBI) from a variety of stations on the NE Atlantic shelf at which the pollution/disturbance status is known. There is a close agreement between the proportions of species in the five AMBI ecological groups and a phylum level meta-analysis axis of increasing environmental impact. All AMBI measures provide a better monotonic relationship with the impact axis than do traditional species diversity measures, which show higher diversity at intermediate levels of disturbance. A marginally better relationship with the impact axis of the meta-analysis is achieved by a moderate (square root) transformation of the data. ‘Production’ data (an appropriate combination of abundance and biomass information) provide only a marginal improvement on abundance data, but are ecologically and functionally much more relevant. Severe transformation of the data, culminating in presence/absence, degrades the relationship with the impact axis, but if only simple species lists are available then these may still be useable in making an environmental assessment.     

基于集合预报极端天气预测指数的浙江分类强对流预报模型

利用2016—2021年ECWMF集合预报资料、浙江自动站实况资料等,计算浙江短时强降水、雷暴大风和冰雹等强对流天气相关物理量的极端天气预报指数（EFI：Extreme Forecast Index）,分析EFI分布特征,并构建了分类强对流预报模型。结果表明：强对流天气与物理量的EFI有密切联系,发生短时强降水时,对流有效位能、整层可降水量、850 hPa与500 hPa温差和位温差的EFI较大,而垂直风切变的EFI为负值,因而较小的垂直风切变更有利于出现极端降水;发生雷暴大风和冰雹时,对流有效位能、850 hPa与500 hPa温差和位温差以及850 hPa温度露点差的EFI较大,700 hPa露点温度的EFI为负值,与上层干冷下层暖湿的有利层结条件有关。利用支持向量机多分类方法,将强对流天气相关物理量的EFI作为特征值开展训练,构建的预报模型对于非局地强对流天气有较好的预报效果,其中短时强降水的误判率明显低于雷暴大风。     

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.     

Deep-Sea Sediment Compression Curves: Some Controlling Factors,Spurious Overconsolidation,Predictions, and Geophysical Reproduction

Oedometer tests have been carried out on 70 undisturbed surficial clays (at approximately 250 mm below the mudline), mostly collected by free-fall corers from sites widely scattered throughout the deep-sea North Atlantic. Acoustic measurements were also made, initially on contiguous samples and ultimately on the same sample using a geophysically instrumented oedometer which also collected electrical resistivity data. Apart from those quiescent areas below the carbonate compensation depth, such as north of the West Indies where very fine clays exist, most of the samples are silty clays whose geotechnical-geophysical properties are dependent on the type of clay minerals present (and their ability to take in moisture), the sand-size fraction, and the quantity of carbonate present. Thus the pure clays have high compressibilities which decrease on the addition of coarse particles, while the converse is true for the acoustic parameters, these increasing with the sand fraction. Using the notion of the intrinsic compression line for all samples, and comparison to it of the measured compression curves, it is clear that, contrary to some previously held ideas, most deep-sea clays are normally consolidated; the addition of carbonate has the effect of creating an open, stronger sediment skeleton. Interestingly, where information is available, the variation with depth of a sample's acoustic velocity follows the void ratio pressure relationship of the compression curve. This allows the construction of an in-situ sediment compression curve using the in-situ geophysical observations.     

Evaluation of the carrying capacity of marine industrial parks: A case study in China

Carrying capacity is an important index used to evaluate the status of regional resources, ecological environment, and regional economic development. Marine industrial parks have gained substantial attention from domestic and foreign investors and governments at all levels; in particular, these parks are an essential part of the national blue economy development plan of the Chinese government. The carrying capacity of a marine industrial park is important to all related stakeholders. In this study, an evaluation system was established based on the literature review and expert interviews by using 32 indices under three dimensions (pressure, bearing, and transformation) to determine the carrying capacity of a marine industrial park. The carrying capacity of marine industrial parks in Shandong Province was evaluated using this system across diverse dimensions by incorporating state space and analytic hierarchy processes. Results indicated that carrying capacity significantly differed among regions, parks, and specific dimensions. Comparison among different types of marine industrial parks indicated that the modern marine service industry and fishery industrial parks showed improved and efficient development with relatively high bearing rates. By contrast, the modern marine manufacturing industry and strategic emerging industrial parks were significantly underdeveloped. This study proposes academic approaches and practical implications for the involved governments and managing committees. Furthermore, suggestions on park planning, policy support, industrial cluster, and industry–university–research institute alliances are provided to the government and enterprise perspectives to increase the carrying capacity of marine characteristic industrial parks.     

基于长时间序列遥感数据的阿伯德尔国家公园 生态环境质量评价

阿伯德尔国家公园位于号称肯尼亚“水塔”的阿伯德尔山脉上,是肯尼亚重要的旅游景区和珍稀动植物保护区,开展该地生态环境质量评价对肯尼亚水资源保护与可持续发展具有重要的意义。本研究基于1987-2018年的Landsat系列遥感数据,通过计算综合遥感生态指数RSEI,结合趋势线分析法对阿伯德尔国家公园近32年间生态环境质量变化进行客观定量分析。研究结果显示：① 1987-2018年研究区RSEI均值从0.62下降到0.51,生态环境质量退化的区域面积为551.52 km ²,占总面积的71.85%,表明在气候变化和人类活动影响下,1987-2018年研究区的环境状况呈恶化趋势;②环境质量显著恶化的区域主要分布于亚高山植被区和东部低海拔森林覆盖区,亚高山地区植被生态系统结构单一,稳定性差,对气候变化和人类活动更为敏感;而东部区域存在过度开发,非法砍伐森林等现象,且旅游开发强度大,环境恶化与人类活动密切相关。     

塔里木板块新元古代地层化学蚀变指数研究及其意义

本文应用化学蚀变指数（CIA）方法,研究新疆库鲁克塔格地区新元古代地层,并探讨沉积时期的气候环境。贝义西组总体CIA值较低,介于51-56之间,具冰期环境特征。照壁山组CIA值为60左右,表明气候有所变暖。阿勒通沟组的CIA值变化范围在48—61之间,顶部突变为69～71,说明阿勒通沟期经历了另一次寒冷事件,并以温暖环境结束。其上的特瑞爱肯组CIA值介于49—53之间,说明第三次经历寒冷干燥的气候环境。扎莫克提组,育肯沟组和水泉组的CIA均值为65,反映温暖条件下的沉积环境。新元古代末期汉格尔乔克组CIA值下降为56,暗示第四次出现寒冷气候环境。以上特征表明新疆库鲁克塔格地区新元古代的气候环境出现四次冷热交替变化。其中尤为重要的是阿勒通沟组中下部应为寒冷气候环境,而顶部突变为温暖气候环境,因此该组反映了一次明确的从冷到暖的气候变化过程,可以作为贝义西冰期和特瑞爱肯冰期之间的另一次独立冰期。本文的研究成果从地球化学角度支持塔里木板块新元古代四次冰期的划分方案。通过与扬子板块新元古代冰期划分方案的对比,认为塔里木板块新元古代四次冰期的前三次均已在华南板块以冰期或寒冷环境沉积形式出现。