东北平原西部沙地的气候变异与土地荒漠化

东北平原西部沙地位于欧亚大陆中纬度巨型沙带的东部边缘 ,为我国荒漠化土地的东缘。随着经济的发展 ,生态环境遭到严重破坏 ,荒漠化景观日益明显 ,前景令人堪忧。气候因素是荒漠化发展的一个基本因素 ,东北平原西部沙地是我国北方气候条件最好的沙区 ,但目前对于区域荒漠化驱动因子的气候因素影响方面的研究未开展系统的工作。论文系统分析了东北平原西部沙地影响荒漠化的现代气候因素特点 ,探讨了在较好气候条件下气候变异、人类活动与荒漠化之间的关系 ,并根据气候发展趋势预测了未来在自然因素作用下沙地的可能发展趋势。     

黄土残塬沟壑区土地开发适宜性评价方法研究

以发展经济为准绳，利用生物措施，开发土地资源，是有效地控制和改善黄土残塬沟壑区日益恶化的生态环境的根本保证。本文针对如何合理地利用农作物、果树、林木和牧草开发土地资源问题，提出了土地开发的适宜性评价方法，并以土地调查的小斑为单元，选用了原土地利用类型、坡度、坡向和海拔高程４个指标，对地处这一地区且作为国家＂八五＂重点攻关项目的隰县试验区的土地开发适宜性进行了评价，经初步开发实施，已收到了显著效果。     

横断山区干旱河谷土地合理开发

横断山区干旱河谷热量丰富、降水偏少,农事旱象较著,但拥有众多宜农、宜林土地资源,尤宜生长亚热带与温带经济林果。目前,不合理耕樵坡地,已有严重水土流失,土地趋退化,河谷生态不稳定,经济生态效益不良。发展灌溉,提高集约耕种水平和逐步退耕陡坡地,扩大经济林果用地及保护与改造谷地现状植被等是提高当地人民生活水平、改善与保护干旱河谷以至整个横断山区生态环境的重要措施与战略治理方针。     

我国东部矿区土地复垦规划设计要点

结合我国多个东部矿区土地复垦工程实践,分析了东部矿区土地破坏的特点及优势,指出在复垦规划中的几个关键技术问题。     

观音坪电站工程评价区景观格局预测分析

以湖北省宣恩县酉水流域观音坪水电工程生态完整性评价报告为基础,采用卫星遥感图片分析,运用GIS技术,完成土地利用结构和景观格局图。通过对工程建成前后各种土地类型的优势度值的变化分析得出:工程建设中会造成林草地减少约3.45hm2,优势度由原来的58.30%下降到57.41%,仅下降0.89%;林地和耕地也分别减少约7.20 hm2和0.84 hm2,优势度下降3.87%和1.92%;而水域增加10.82 hm2,优势度上升1.73%,但是它们之间的比例关系基本与工程建设前的比例相当,草地仍然是景观生态体系中的模地。工程建设后当地景观生态体系不会有很大变化。     

露天煤矿的土地复垦

本文论术字露天煤矿土地复垦的现状，着重了矿区土地地复垦规划，提出了一个土地复垦规划的模型，并且对复垦方向的选择和复垦控制进行了初步的探讨。     

四川省金川县土地利用结构的初步研究

金川县地处青藏高原向横断山脉深切峡谷过渡地带,在土地利用上具有明显的立体结构。森林采伐、土地开垦都在不断改变土地利用的状况。怎样合理利用土地,成为目前突出的问题。本文以1/20万土地利用现状图量算面积及1984年以前的统计资料为基础,着重分析了土地利用结构及其调整问题。     

农村居民点用地问题研究--以安徽宣城市为例

引入距离指数、分散度等定量指标,采用定性与定量相结合的方法,从用地数量、布局等方面对宣城市农村居民点用地现状进行了阐述,在此基础上对农村居民点用地存在的主要问题进行了深入分析与探讨,并针对存在的问题提出相应的对策及建议.其研究结果不但为农村居民点用地整理的开展、农村社区生态环境的改善等提供了理论参考,而且对土地利用总体规划的修编提供了重要参考价值.     

Improvements in Air Quality Modelling by Using Surface Boundary Layer Parameters derived from Satellite Land Cover Data

Many atmospheric dispersion models include only simpletreatment of surface features to estimate the wind profilesand stability parameters. Detailed characterisation of theland cover, particularly in large and complex urbanconurbations, is especially important, as the surfacefeatures can vary significantly over the area. This paperdiscusses the use of satellite land cover data to derivespatially resolved surface boundary layer (SBL) parameters.These parameters have been used in an air quality model,PEARL (Prediction Air Quality in Urban and RegionalLocations) for estimating monthly and annual COconcentrations. Land cover data, derived from LANDSATThematic Mapper Imagery, has been used to estimate SBLparameters (surface roughness length, albeedo, Bowen ratioand anthropogenic heat flux) for a study area of 10000km² encompassing Greater London and the surroundingcounties. The SBL parameters have been assigned according tomajor land cover types for the whole area at a spatialresolution of 1 × 1 km. Predictions from two versions of the PEARL model (one with land cover data and one without)have been compared with each other and with measured data forannual and monthly CO concentrations from seven London airquality monitoring sites. This comparison shows thatdifferences between predicted and observed values can bereduced by up to a factor of three. The use of SBLparameters derived from land cover data also yields moredetailed predicted annual CO spatial patterns especially inand around suburban areas. The performance of both versionsof the model for monthly CO concentrations has been comparedwith a range of statistical measures. This comparisonconfirms that improved agreement is observed betweenmodelled and measured monthly CO concentrations when use ismade of spatially resolved SBL parameters.     

Soil erosion under different vegetation covers in the Venezuelan Andes

This comparative study of soil erosion considered different environments in an ecological unit of the Venezuelan Andes. The soils belong to an association of typic palehumults and humic dystrudepts. Soil losses were quantified by using erosion plots in areas covered by four types of vegetation, including both natural and cultivated environments. The highest soil erosion rate evaluated corresponded to horticultural crops in rotation: reaching a value of 22 Mg ha^–1 per year. For apple tree (Malus sylvestris Miller) plots, soil losses reached values of 1.96 Mg ha^–1 per year. Losses from pasture (Pennisetum clandestinum Hochst. ex Chiov.) plots, without livestock grazing, were as high as 1.11 Mg ha^–1 during the second year of the experiment. The highest soil losses generated from plots under natural forest were equal to 0.54 Mg ha^–1 per year. Environmental factors such as total and effective rainfall, runoff, and some soil characteristics as those related to soil losses by water erosion were evaluated. The type of management applied to each site under different land use type and the absence of conservation practices explain, to a large extent, the erosive processes and mechanisms.