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...     

湖北省生态环境与健康素养水平调查及对策研究

根据2019年7月国务院印发和出台的《国务院关于实施健康中国行动的意见》(国发〔2019〕13号)和《健康中国行动(2019—2030年)》提出的相应考核指标,在基本理念、基本知识和基本技能3个生态环境与健康素养一级分类指标中,当调查对象得分之和大于或等于卷面分数的70％,则认为其具备该分类生态环境与健康素养.居民整体...     

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.     

黄河河口区域有机污染物的特征分析

对2004年采集于黄河河口区域的水样进行了检测分析共鉴定出有机污染物8类192种,包括VOCs33种、SVOCs159种;其中属美国列出的129种优先控制污染物的有62种,属我国列出的58种优先控制污染物的有33种,属GB3838-2002控制的有31种.定量出的VOCs有19种,主要包括卤代烃类和单环芳香族类,其质量浓度平均值分别为0.683和0.609 μg/L;定量出的SVOCs有69种,主要包括多环芳烃类、酯类、单环芳香族类、卤代烃类、酚类和农药类,其质量浓度平均值分别为0.458,1.011,0.367,0.121,0 220和0.045 μg/L,其中多环芳烃类、酯类和单环芳香族类的污染程度相对较高,分别超标2.857,0.288和0.001～1.543倍.      

黄土高原能源富集区水—能源—粮食纽带系统安全时空耦合协调关系分析——以榆阳区为例

黄土高原能源富集区是我国重要的能源基地和粮食主产区,其水资源匮乏使区域水—能源—粮食纽带系统可持续发展面临严峻挑战。为研究黄土高原能源富集区能源、粮食与水资源之间协调发展状况,本研究以水—能源—粮食纽带系统安全为核心,通过构建水—能源—粮食纽带系统安全评价指标体系,采用TOPSIS模型和耦合协调度模型,分析了典型案例地榆林市及榆阳区水—能源—粮食纽带系统安全水平及其耦合协调关联特征。结果表明：从水—能源—粮食纽带系统耦合协调关系来看,榆林市各区县水—能源—粮食纽带系统耦合度整体较高且近年来呈现缓慢下降趋势,耦合协调度呈现“北高南低”格局且近年来表现出轻微下降趋势。从榆阳区层面来看,榆阳区水—能源—粮食纽带系统耦合度较高,耦合协调度呈现由中度协调向优质协调发展态势,水资源系统制约水—能源—粮食纽带系统安全发展,能源子系统波动性较强。为协调能源富集区水—能源—粮食纽带系统可持续发展,政府应健全跨部门协调机制,因地制宜、合理规划产业布局,同时构建节约高效的资源管理体系,提升资源使用效率。     

辽宁团山海蚀地貌自然保护区选划研究

根据2003年11月辽宁团山海蚀地貌自然保护区选划研究现场调查,探讨了该区海蚀地貌的成因,评价了海域环境质量和生物多样性,依据海洋自然保护区类型与级别划分原则(GBT17504-1998),确定了保护区类型,并采用定性与定量相结合方法给出了保护区级别。结果表明,保护区海域环境质量总体尚好,生态群落正常,保护区类型符合《海洋自然保护区分类原则》(类别III)相关标准,主要保护对象为海蚀地貌景观,该保护区可建成国家级,这在全国沿海尚不多见。     

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。     

咸阳地裂缝成因分析

咸阳地裂缝出现于1992年,以近东西向为主,局部发育为近南北向,水平拉张位移最明显,垂直位移次之,水平扭动位移最小,为拉张兼具左旋地裂缝。咸阳地裂缝的出现位置与区域构造线吻合,说明与区域地质构造环境密切相关,构造带的存在与活动为地裂缝的发育提供了空间条件和力学薄弱界面,而承压水头的急剧下降,最终使地裂缝的出现成为可能。     

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。