ESTIMATION OF SOIL MOISTURE WITH API ALGORITHMS AND MICROWAVE EMISSION1

Large area soil moisture estimations are required to describe input to cloud prediction models, rainfall distribution models, and global crop yield models. Satellite mounted microwave sensor systems that as yet can only detect moisture at the surface have been suggested as a means of acquiring large area estimates. Relations previously discovered between microwave emission at the 1.55 cm wavelength and surface moisture as represented by an antecedent precipitation index were used to provide a pseudo infiltration estimation. Infiltration estimates based on surface wetness on a daily basis were then used to calculate the soil moisture in the surface 0–23 cm of the soil by use of a modified antecedent precipitation index. Reasonably good results were obtained (R²= 0.7162) when predicted soil moisture for the surface 23 cm was compared to measured moisture. Where the technique was modified to use only an estimate of surface moisture each three days an R² value of 0.7116 resulted for the same data set. Correlations between predicted and actual soil moisture fall off rapidly for repeat observations more than three days apart. The algorithms developed in this study may be used over relatively flat agricultural lands to provide improved estimates of soil moisture to a depth greater than the depth of penetration for the sensor.     

Vegetation changes associated with barrier-dune construction on the outer banks of North Carolina

Manmade dunes are used to stabilize the barrier islands of the mid-Atlantic coast of the United States so that they are more amenable to development. Although this strategy has stabilized extensive sections of the barrier-island substrate, it has also caused significant ecological changes. The rate and pattern of the resulting vegetation changes along the Outer Banks of North Carolina were determined using sequential aerial photography. Successional trends have been altered in favor of more stable woody communities.     

基于上海案例的大都市旅游容量及承载力研究

都市旅游容量和承载力问题是事关都市旅游可持续发展、和谐旅游环境建设的重大战略性命题。上海都市旅游发展跨入了由数量扩张向质量提升的重要转型发展期。面临警旅游容量问题的严峻挑战。都市旅游容量管理与调控是一项社会系统工程。实施旅游容量管理与调控不是剥夺或限制公民进入都市旅游和体验的权利。而是根据这种区域的极限容量阀值。疏导进入大都市的旅游流。使之保持警一种合理的、持续的容量态势发展，维系整个区域发展的可持续性。为此。要创新都市旅游容量与承载力管理的制度安排。通过都市旅游产品转型与创新、基础设施技术升级和扩能、都市旅游布局空间战略调整、区域协调与联动、实施旅游可持续指标行动等举措，进一步释放都市旅游容量及承载力潜力，缓解都市中心城区容量压力。促进都市旅游可持续发展。     

Plant cover synanthropization in the pechora-Ilych biosphere reserve along an altitudinal gradient

Trends in plant cover synanthropization along a plain-foothills-mountains gradient have been revealed in the reserve. Characteristics of plant communities in anthropogenically disturbed habitats, centers of concentration of anthropophytes and apophytes, and pathways of their migration are described.     

差异性区域网格化环境管理初探

差异性区域网格化环境管理是在环境状况存在明显分异区域进行环境管理的有效的方式。依托网格化管理在资源整合和信息共事方面的优势．探讨在环境状况差异明显区域构建网格化管理体系的目标、步骤与管理思路。以上海市宝山区的实践为例．根据区内环境现状差异明显的特征。将全区划分为150个网格．从中选取环境矛盾较为突出的网格．开展区域环境综合整治与环境建设．逐年逐块提升区域网格环境状况．实现区域环境网格等级的提升．初步达成区域生态、生产、生活的协调。实践表明．差异性区域网格化管理是建设环境友好型社会的一种有效的环境管理手段。     

用于评价水污染的生物指数

对各国学者所建立的应用较广泛的生物指数作了综述 ,通过分析各种生物指数的优点与缺陷 ,指出了目前建立生物指数方法上的不足 ,并提出了建立生物指数应该采用的更合理的方法。     

Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.     

人口与经济发展对植被的影响研究

植被是陆地表面主要的覆盖物，也是许多地球系统过程的重要变量。人类活动对植被的影响在区域尺度上是显著的。以重庆市为例，使用滑动平均和SG滤波对SPOT/VGT NDVI时间序列数据进行了平滑处理，结合GDP和人口栅格化数据，从时间序列和空间相关场两个方面分析了植被与人类活动因子之间的时空相关性。结果表明，从1998到2005年，植被的分布和生长状况并没有随GDP和人口的持续增加而增加。在时间序列上，植被覆盖与GDP和人口之间总体上呈显著的负相关关系；在空间上，这种相关关系表现出了较强的异质性。空间相关场表明：较强的负相关主要发生在相对发达的主城区周围，反映了快速的经济发展和城市化使得植被面积和生产力降低；然而在偏远的山区，由于经济落后同时植被覆盖较少，出现了正相关。     

中国县域资源组合结构的分类研究

按区域经济的发展，遵循资源分布的地域分异规律，论述了中国县域资源的地域组合结构的分类问题。首先对采用多因素综合作用、自然资源与经济资源兼容组合、资源优势、资源系统良性循环等原则进行了必要性的论证；在此基础上重点对其分类方法进行了具体说明，其主要步骤是在确定10种主要的县域资源，建立相关在指标体系的前提下，鉴于威弗组合指数对于划分县域资源组合结构类型的可行性，运用改造过的,角立县域资源地域组合结构类型的划分程序与计算方法。最后，按此分类法，把我国县域资源地域组合结构类型划分为自然资源型、自然资源主导型、自然资源与经济资源混合型、经济资源主导型、经济资源密集类等5个一级类型及其下属的8个二级类型。