香港灌丛植被的数量分类与环境关系分析

灌丛是香港植被的主要组成部分,2005年1—3月在香港地区(包括香港岛、九龙、新界和大屿山岛)设置样地,利用组平均法(UPGMA)和除趋势对应分析法(DCA)对香港灌丛群落进行聚类和排序分析. 结果表明,灌丛植被可划分为7个群落类型:桃金娘、米碎花、岗松、苏铁蕨、大头茶、山油柑和细齿柃. DCA排序揭示了灌丛群落的分布格局与环境因子的生态关系,DCA排序第1轴反映了灌丛群落所在环境的湿度梯度,排序图的对角线指示出海拔梯度,也反映了温度的变化. 结合物种多样性分析发现,物种多样性指数随海拔的升高而减少,说明水热条件和海拔是制约灌丛植被分布格局的主要因素.      

厌氧填埋垃圾降解阶段指标体系的建立

以厌氧填埋场中垃圾的降解过程为依托点,从渗滤液的水质特征和填埋气的组成两个方面筛选出判断指标,最后建立判断填埋垃圾降解阶段的指标体系.结果表明,ρ(BOD5)/ρ(COD)可以反映出渗滤液的可生化性,从而间接反映出填埋垃圾所处的降解阶段,是判断填埋垃圾降解阶段的重要定量指标.     

乡镇垃圾分类循环利用现状——以闽侯县上街镇为例

由于我国乡镇经济的迅速发展以及乡镇村民生活水平加速提高,乡镇的垃圾种类及数量趋向于城市.乡镇村民居住较为分散,垃圾分类、收集、循环利用相较于城市困难,因此推进乡镇垃圾分类循环利用迫在眉睫.本文从闽侯县上街镇展开调查,以乡镇垃圾分类、回收循环利用为关键词展开分析,并从上街镇垃圾分类循环利用模式存在的问题进行分析、总结和建...     

Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images

Soil erosion associated with non-point source pollution is viewed as a process of land degradation in many terrestrial environments. Careful monitoring and assessment of land use variations with different temporal and spatial scales would reveal a fluctuating interface, punctuated by changes in rainfall and runoff, movement of people, perturbation from environmental disasters, and shifts in agricultural activities and cropping patterns. The use of multi-temporal remote sensing images in support of environmental modeling analysis in a geographic information system (GIS) environment leading to identification of a variety of long-term interactions between land, resources, and the built environment has been a highly promising approach in recent years. This paper started with a series of supervised land use classifications, using SPOT satellite imagery as a means, in the Kao-Ping River Basin, South Taiwan. Then, it was designed to differentiate the variations of eight land use patterns in the past decade, including orchard, farmland, sugarcane field, forest, grassland, barren, community, and water body. Final accuracy was confirmed based on interpretation of available aerial photographs and global positioning system (GPS) measurements. Finally, a numerical simulation model (General Watershed Loading Function, GWLF) was used to relate soil erosion to non-point source pollution impacts in the coupled land and river water systems. Research findings indicate that while the decadal increase in orchards poses a significant threat to water quality, the continual decrease in forested land exhibits a potential impact on water quality management. Non-point source pollution, contributing to part of the downstream water quality deterioration of the Kao-Ping River system in the last decade, has resulted in an irreversible impact on land integrity from a long-term perspective.     

Indigenous Systems of Forest Classification: Understanding Land Use Patterns and the Role of NTFPs in Shifting Cultivators’ Subsistence Economies

This article discusses the system of classification of forest types used by the Pwo Karen in Thung Yai Naresuan Wildlife Sanctuary in western Thailand and the role of nontimber forest products (NTFPs), focusing on wild food plants, in Karen livelihoods. The article argues that the Pwo Karen have two methods of forest classification, closely related to their swidden farming practices. The first is used for forest land that has been, or can be, swiddened, and classifies forest types according to growth conditions. The second system is used for land that is not suitable for cultivation and looks at soil properties and slope. The article estimates the relative importance of each forest type in what concerns the collection of wild food plants. A total of 134 wild food plant species were recorded in December 2004. They account for some 80–90% of the amount of edible plants consumed by the Pwo Karen, and have a base value of Baht 11,505 per year, comparable to the cash incomes of many households. The article argues that the Pwo Karen reliance on NTFPs has influenced their land-use and forest management practices. However, by restricting the length of the fallow period, the Thai government has caused ecological changes that are challenging the ability of the Karen to remain subsistence oriented. By ignoring shifting cultivators’ dependence on such products, the involvement of governments in forest management, especially through restrictions imposed on swidden farming practices, is likely to have a considerable impact on the livelihood strategies of these communities.     

Synergistic Techniques for Better Understanding and Classifying the Environmental Structure of Landscapes

The desire to capture natural regions in the landscape has been a goal of geographic and environmental classification and ecological land classification (ELC) for decades. Since the increased adoption of data-centric, multivariate, computational methods, the search for natural regions has become the search for the best classification that optimally trades off classification complexity for class homogeneity. In this study, three techniques are investigated for their ability to find the best classification of the physical environments of the Mt. Lofty Ranges in South Australia: AutoClass-C (a Bayesian classifier), a Kohonen Self-Organising Map neural network, and a k-means classifier with homogeneity analysis. AutoClass-C is specifically designed to find the classification that optimally trades off classification complexity for class homogeneity. However, AutoClass analysis was not found to be assumption-free because it was very sensitive to the user-specified level of relative error of input data. The AutoClass results suggest that there may be no way of finding the best classification without making critical assumptions as to the level of class heterogeneity acceptable in the classification when using continuous environmental data. Therefore, rather than relying on adjusting abstract parameters to arrive at a classification of suitable complexity, it is better to quantify and visualize the data structure and the relationship between classification complexity and class homogeneity. Individually and when integrated, the Self-Organizing Map and k-means classification with homogeneity analysis techniques also used in this study facilitate this and provide information upon which the decision of the scale of classification can be made. It is argued that instead of searching for the elusive classification of natural regions in the landscape, it is much better to understand and visualize the environmental structure of the landscape and to use this knowledge to select the best ELC at the required scale of analysis.     

湿热处理参数对餐厨垃圾脱水和脱油性能的影响

为了改善餐厨垃圾脱水和脱油性能,提高处理效果,对餐厨垃圾湿热工艺中的温度和加热时间等主要影响因素进行了2因素5水平的完全试验,分析了湿热处理产物的比阻、脱水率和可浮油含量等指标的变化规律,构建了餐厨垃圾固相脂质浸出反应动力学模型,研究了湿热处理参数对餐厨垃圾脱水和脱油性能的影响机理.结果表明,湿热处理初期,垃圾脱水率下降,加热40min后,脱水率开始上升,且温度越高,上升越快,180℃加热100min达最高;随着温度的升高和加热时间的延长,餐厨垃圾脱油性能呈上升趋势,温度越高,上升趋势越明显;当温度达到1     

喀斯特石漠化的研究现状与存在的问题

喀斯特石漠化是土地荒漠化的主要类型之一。喀斯特生态系统的脆弱性决定了喀斯特生态系统的易损性和退化喀斯特生态系统的难恢复性,但它与发生石漠化并没必然的联系,喀斯特石漠化是岩溶生态系统退化的结果,而不是喀斯特生态系统脆弱性的必然表现。故所指的喀斯特石漠化,特指人为加速的石漠化,属于人为荒漠化的一种类型,但强调喀斯特石漠化的人为成因性,并不是否定自然背景对喀斯特生态系统的制约作用。石漠化土地的分类既要能反映出石漠化发生的严重程度,也要能体现石漠化土地的成因和岩性地貌等地质背景对生态学过程的影响,因此,作者提出以“土地利用类型+植被+岩性+地貌+石漠化程度”对人为加速石漠化过程中石漠化土地进行类型划分,以正确评价石漠化土地的生态环境价值。     

我国不同类型地下工程中的氡水平

为了解我国地下工程内氡的浓度水平及其可能对人体产生的危害,采用核固体径迹法,在不同季节对全国23个城市的234个地下工程测点的氡浓度进行了测量。根据工程的建筑类型及用途的不同,将所有被测工程分为坑道、干道(包括掘进式地道工程)、地下室(高层建筑地下室和掘开式工程)和停车场四类,各类工程的氡浓度平均值分别为327、619、96.9、59.1 Bq.m-3。对于不同山体岩性的坑道,氡浓度值由高到低的顺序是花岗岩>凝灰岩>石英砂岩>石灰岩>安山玢岩。比较各类工程不同季节的氡浓度,得出,停车场氡浓度季节变化不大,其它三类工程都有氡浓度夏季明显高于冬季的特点,而且通风差的未使用的坑道和干道比使用中的同类工程具有相对高的氡浓度夏/冬比值。     

浅析危险化学品分类

阐述了危险化学品分类的意义,介绍了国内外主要化学品分类的标准和一般程序,以及危险化学品分类的最新研究进展。