皖中泥质岩工程性质探讨

历来对半胶结泥质岩风化等级划分都带有许多主观性,从而影响提承载力,有的规范要求可不对半胶结岩石进行风化程度划分,但有时要对这些岩石进行工程地质细分,从而准确确定各分层的承载力与摩阻力。统计了合肥、六安、淮南、安庆地区等大量实践资料,用标准贯入击数、重型圆锥触探实验击数等原位测试手段来划分泥质岩风化等级,并对泥质岩的承载力与摩阻力等工程地质性质做出了评价。     

我国水资源承载力研究现状及展望

概要说明了我国水资源承载力的研究现状,阐述了水资源承载力的概念、内涵及影响因素,探讨了目前几种常用的水资源承载力评价方法,并对当前研究中存在的问题进行了初步分析,进而提出了我国水资源承载力的研究趋势。     

Gated communities of the Moscow green belt: newly segregated landscapes and the suburban Russian environment

The transition from the Soviet to the post-Soviet period in and near Moscow manifested itself in increasing production of segregated space both in the urban core and suburban areas outside of the beltway to accommodate the preferences of the new Russian business and governmental elite. This paper focuses on the residential single-family housing inside old and new settlements, which are frequently gated. Approximately 260 of such suburban communities have been developed within 30 km of the beltway during the past few years, of which a majority have some form of exclusion mechanism in place, typically tall solid fences, gates, closed-circuit video surveillance and guarded entry checkpoints. The difference in exclusivity varies from the most exclusive older communities inside Moscow Serebryany Bor enclave and Rublevskoe highway mansions to less exclusive new developments along Novorizkhskoe and Dmitrovskoe highways. Despite high rates of construction, based on sociological surveys in 2003, only about 11% of Russia’s upper class claimed to live in such new “cottages,” with the rest owning condos and luxury apartments in the inner city or older detached homes in villages and small towns. Therefore, not all the needs have been accommodated and more development is certain to take place. The environmental impact of such developments is profound. Based on preliminary LANDSAT image analysis, almost 22% of suburban “green belt” forested land within 30 km zone has been converted to new construction from 1991 to 2001. New construction is now focusing on the remaining fragments of natural vegetation, which will likely lower air quality and water quality available for the city. Ironically, the new developments advertise themselves as “clean and green” with massive investments in unnatural landscaping (seeded lawns, exotic shrubs, river and lake shore “improvements”). This investment highlights the well-known paradox of development in which people move out of town to live near nature, while destroying the wild nature they come to enjoy. “We left city for the weekend It was raining, saw no stars There were fences everywhere Our chiefs behind the bars.” Gennady Shpalikov     

Reliability Based Assessment of Shallow Foundations Using Mathcad

A reliability based method was used to design and analyse shallow foundations using first-order Taylor series approximation. The computer program Mathcad was used to facilitate all mathematical and computional efforts. This method is an effective tool to assist the foundation designers and analyists to investigate how reliable their designs or analyses are in relation to the ultimate bearing capacity of the foundations. The approach presented in this paper provides a reliable alternative for design and analysis of shallow foundations, rather than the conventional design methods, which employs the assumptions of a specified saftey factor. Several examples were presented for design and analysis of strip footings embedded in sandy soil, and rectangular and square footings analysis embedded in clayey soils. The program input and output of each example are also presented and discussed.     

濮阳市地下水开采引起的环境地质问题及防治措施

濮阳市是新兴的石油化工基地,国家级卫生城市和园林城市,由于人口的增长、工农业的迅猛发展,地下水超量开采而引起的地面沉降、地裂缝等一系列环境地质问题,针对所出现的环境地质问题提出相应的防治措施.     

豫北平原浅层地下水资源可持续开发利用

豫北平原隶属黄河、海河两大流域,在平原区松散岩类中蕴藏着较丰富的地下水.随着工农业和城市化的发展,地下水资源的开发利用程度在逐步升高,合理地开发利用地下水资源的重要性日趋显著.主要论述了浅层含水岩组的特征、水动力条件、开发利用现状及与地下水开采相关的环境地质问题.分析了天然资源量的组成,说明了可采资源量的计算方法,指出有开采潜力区和超采区的分布.针对所存在的问题,提出了浅层地下水资源可持续开发利用的措施.     

水环境容量的影响因素及分析研究

本文采用流量级频率分析和统计分析方法,对黄河下游流量及泥沙含量对水环境容量的影响进行了研究分析.分析结果:河流在平滩流量时不仅输沙能力最大[8],而且输运污染物能力也最大,黄河下游水环境容量萎缩是平滩流量降低的必然结果.     

基于模糊识别的水资源承载能力综合评价

应用模糊识别模型解决水资源承载能力综合评价问题,根据水资源承载能力相关因子自身的数据结构特性,通过模糊识别模型得到样本的级别特征值,从而达到对待评价区域的识别、归类,同时可以得到各相关因子在评价过程中的贡献率,实例部分将模型应用于全国30个省市、自治区的水资源承载能力评价,结果表明该方法的实用性和客观性。     

Effects of detailed soil spatial information on watershed modeling across different model scales

Hydro-ecological modelers often use spatial variation of soil information derived from conventional soil surveys in simulation of hydro-ecological processes over watersheds at mesoscale (10–100 km²). Conventional soil surveys are not designed to provide the same level of spatial detail as terrain and vegetation inputs derived from digital terrain analysis and remote sensing techniques. Soil property layers derived from conventional soil surveys are often incompatible with detailed terrain and remotely sensed data due to their difference in scales. The objective of this research is to examine the effect of scale incompatibility between soil information and the detailed digital terrain data and remotely sensed information by comparing simulations of watershed processes based on the conventional soil map and those simulations based on detailed soil information across different simulation scales. The detailed soil spatial information was derived using a GIS (geographical information system), expert knowledge, and fuzzy logic based predictive mapping approach (Soil Land Inference Model, SoLIM). The Regional Hydro-Ecological Simulation System (RHESSys) is used to simulate two watershed processes: net photosynthesis and stream flow. The difference between simulation based on the conventional soil map and that based on the detailed predictive soil map at a given simulation scale is perceived to be the effect of scale incompatibility between conventional soil data and the rest of the (more detailed) data layers at that scale. Two modeling approaches were taken in this study: the lumped parameter approach and the distributed parameter approach. The results over two small watersheds indicate that the effect does not necessarily always increase or decrease as the simulation scale becomes finer or coarser. For a given watershed there seems to be a fixed scale at which the effect is consistently low for the simulated processes with both the lumped parameter approach and the distributed parameter approach.     

A multidisciplinary multi-scale framework for assessing vulnerabilities to global change

Terrestrial ecosystems provide a number of vital services for people and society, such as food, fibre, water resources, carbon sequestration, and recreation. The future capability of ecosystems to provide these services is determined by changes in socio-economic factors, land use, atmospheric composition, and climate. Most impact assessments do not quantify the vulnerability of ecosystems and ecosystem services under such environmental change. They cannot answer important policy-relevant questions such as 'Which are the main regions or sectors that are most vulnerable to global change?’ 'How do the vulnerabilities of two regions compare?’ 'Which scenario is the least harmful for a sector?’This paper describes a new approach to vulnerability assessment developed by the Advanced Terrestrial Ecosystem Analysis and Modelling (ATEAM) project. Different ecosystem models, covering biodiversity, agriculture, forestry, hydrology, and carbon sequestration are fed with the same Intergovernmental Panel on Climate Change (IPCC) scenarios based on the Special Report on Emissions Scenarios (SRES). Each model gives insights into specific ecosystems, as in traditional impact assessments. Moreover, by integrating the results in a vulnerability assessment, the policy-relevant questions listed above can also be addressed. A statistically derived European environmental stratification forms a key element in the vulnerability assessment. By linking it to other quantitative environmental stratifications, comparisons can be made using data from different assessments and spatial scales.