基于栅格数据的陕西省人居环境自然适宜性测评

人居环境中的自然基础和生态背景,不仅直接关系到人的身心健康和生活质量,而且影响人类发展水平与社会进步.科学度量人居环境自然适宜性空间格局,对于界定主体功能区、引导人口合理分布与流动,促进人口与资源环境协调发展具有重要意义.运用GIS技术,采用综合指数法,基于陕西省96个气象站点1966-2005年气象数据、1990-2007年逐月NDVI和Landsat TM影像、1:25万DEM、2000年陕西省人口详查数据、2006人口数据以及其他相关资料,以100 m×100 m栅格单元构建并直观展现了陕西省人居环境自然适宜程度空间格局,在此基础上,剖析了各区的适宜性和限制性因子.结果表明:陕西省的人居环境指数介于18.55～88.97之间:从西北向东南、从山地、高原向平原、河谷人居自然适宜程度递增.一般适宜区面积最广,占陕西省总面积的63.28%;比较适宜地区居次,占26.11%;临界适宜区占10.26%:高度适宜区面积最小,仅占0.35%.陕西省总人口的68.92%分布在占全省面积26.46%的高度适宜区和比较适宜区.地表水资源和地形起伏度是引起省内人居环境自然适宜性分异的主要因子.实证分析表明该测评结果比较客观地反映了陕西省人居的自然生态背景.     

分层信息提取法在县域土地 利用/覆被遥感中的应用

高精度地获取县(或县级市)域土地利用/覆被的定性、定量信息对于维护生态环境和保障我国农村经济的可持续发展具有重要意义。针对2003年冬季所获得的江苏省新沂市的TM图像特点,选择分层信息提取法提取土地利用/覆被信息。首先对图像进行基于最大似然法的监督分类,观察分类结果,提取误分、错分比例最小的未利用地类型,然后采用光谱分析法提取出水体范围、监督分类和目视解译相结合法提取出城镇建设用地和农村居民点、归一化植被指数提取出林地,最后提取出耕地。信息提取结果与同期土地利用图相比较,整个新沂市域范围内土地利用/覆被类型分类的面积精度达到96.17%,空间精度达到88.38%,表明这种方法提取遥感图像土地利用/覆被信息是可行的。     

基于不同窗口纹理特征的SVM土壤盐渍化信息提取方法与精度分析研究

以塔里木盆地北缘绿洲--渭干河-库车河三角洲绿洲为例,借助ENVI遥感软件,利用ETM+数据,探讨了该绿洲土壤盐渍化信息提取的方法.传统的遥感图像分类方法多数在解决问题上存在精度不高、分类效率较低、不确定性强的缺陷,所以,选择好的分类方法对于提取盐渍化信息是至关重要的.近年来,将SVM应用于遥感图像分类已成为新的发展趋势.文章提出了基于纹理特征的支持向量机(Support Vector Machine,SVM)的分类方法,得出以下结论:分别结合3×3,5×5,7×7,9×9,11×11,13×13窗口纹理特征和光谱的SVM分类精度都很高,达到93%以上.并且在验证分类精度时,发现结合光谱和9×9窗口纹理信息的SVM分类的结果更符合实际情况.所以说加入纹理特征后使得光谱信息比较接近的3类地物(重度、中度、轻度盐渍地)的区分性增大,从而使精度提高.因此,基于纹理特征的SVM分类方法更有利于遥感图像分类和盐渍化信息监测,是地物遥感信息提取的有效途径.     

Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN)

An efficient and accurate method of generating landslide susceptibility maps is very important to mitigate the loss of properties and lives caused by this type of geological hazard. This study focuses on the development of an accurate and efficient method of data integration, processing and generation of a landslide susceptibility map using an ANN and data from ASTER images. The method contains two major phases. The first phase is the data integration and analysis, and the second is the Artificial Neural Network training and mapping. The data integration and analysis phase involve GIS based statistical analysis relating landslide occurrence to geological and DEM (digital elevation model) derived geomorphological parameters. The parameters include slope, aspect, elevation, geology, density of geological boundaries and distance to the boundaries. This phase determines the geological and geomorphological factors that are significantly correlated with landslide occurrence. The second phase further relates the landslide susceptibility index to the important geological and geomorphological parameters identified in the first phase through ANN training. The trained ANN is then used to generate a landslide susceptibility map. Landslide data from the 2004 Niigata earthquake and a DEM derived from ASTER images were used. The area provided enough landslide data to check the efficiency and accuracy of the developed method. Based on the initial results of the experiment, the developed method is more than 90% accurate in determining the probability of landslide occurrence in a particular area.     

巢湖凌家滩遗址古人类活动的地理环境特征

通过对巢湖凌家滩文化遗址的野外勘查、采样和室内磁化率、烧失量、化学元素及光释光年代分析,结合巢湖湖泊岩芯记录的中全新世环境特征、研究区较高分辨率遥感影像和文物考古成果,综合研究表明:古凌家滩人生活于中全新世气候适宜期,其文化的发展和繁荣处在气候由温暖湿润向温和略干转换的过渡阶段;晚更新世末期堆积形成的地面(OSL年代11.6 ±1.0 ka B.P.)是古凌家滩人生活的地貌面,本区古地貌面海拔以及拔河高度与现今不同,这与该区新构造运动沉降和气候-水文因素作用有关;中全新世温暖湿润的气候条件下,太湖山南麓台地被进一步切割为山前长条形岗地与河流相间的地貌形态,遗址所在的长岗岗地是东、西、南三面临水的"半岛"环境,河川相连,便于水运交通、渔猎和水稻种植。     

青海表土花粉分布规律及其与植被的关系

对青海地区63个样点进行植被调查及表土样点分析结果显示:青海地区山地针叶林、针阔混交林、高山灌丛-灌丛草甸、温带草原、灌木-半灌木荒漠及高寒荒漠植被区均有相对独特的花粉组合特征。乔木类中桦呈超代表性,云杉、柏、杨属呈低代表性;灌木、草本中白刺、沙拐枣、柽柳呈低代表性,蒿、藜、麻黄呈超代表性,蔷薇科金露梅、银露梅在自身为优势种的落叶灌丛群落中呈低代表性,在针阔叶林、灌丛草甸过渡带中呈适中代表性。禾本科、莎草科、菊科、豆科、十字花科呈低代表性。A/C值在不同生态环境下的变化幅度较大,但数据组显示A/C值中位数值由半干旱向干旱植被区逐次降低,如草甸和草原为4.14,高山灌丛为2.93,荒漠草原为1.22,荒漠灌丛为0.13,荒漠戈壁为0.05。可见,A/C值能很好地反映环境干湿程度,是环境干旱程度的良好指标。     

新疆和田河流域土地利用/覆被变化及其驱动力分析

土地利用／覆盖变化及其驱动力分析是土地利用／覆盖研究的一个主要核心内容。利用1990年、1999年和2005年和田河流域3期土地利用数据,对和田河流域1990—2005年土地利用/覆被变化进行了定量的分析研究,同时利用相关分析和主成分分析探讨了土地利用/覆被变化的驱动力。研究结果表明:在15 a尺度上研究区土地利用/覆被变化总特征是耕地、林地、水域和建设用地面积增加,草地和未利用地面积减少;土地利用程度变化量为0.56%,流域土地利用处于发展时期;优势度没有发生明显的变化,未利用地一直最高。研究区土地利用/覆被变化的主要驱动力为人口因素、经济因素、富裕程度、政策因素、技术因素和水文因素等,各驱动因素以合力形式作用于土地利用/覆被使其变化,其中,人口因素在土地利用/覆被变化中起主导作用。     

上海淤泥质潮滩潮锋作用及其形成机制初步探讨*

本文具体讨论了上海淤泥质潮滩的潮锋作用过程,定性给出了潮锋的形成机制,认为潮锋作用及其水体高含沙量现象的本质在于“潮锋带水体水流加速效应”,即,由于潮滩坡面变化平缓的特殊性,涨潮水体前锋沿程存在着一持续时间可达数十分钟的水流加速过程.最后,本文初步探讨了潮锋作用在滩面塑造过程中的地位,并重新定义了潮锋作用的内容.     

近50 年中国光合有效辐射的时空变化特征

基于中国陆地区域1961-2007 年逐年/季节平均光合有效辐射(PAR) 的空间化数据(10km×10km),结合GIS 空间分析技术与Mann-Kendall 趋势分析方法对近50 年年/季节平均PAR进行时空变化特征分析。结果表明：① 全国PAR的空间分布差异明显,总体上呈现东南低、西部高的特点,年均PAR在17.7~39.5 mol m^-2 d^-1之间。② 全国像元平均的年/季节平均PAR表现出一个较明显的波动下降过程,年均PAR降幅为0.138 mol m^-2 d^-1/10a,不同季节下降幅度存在差异,夏季降幅最大。③ 逐像元分析显示全国大部分地区PAR呈现显著下降趋势(α = 0.05),东部趋势变化较西部明显,夏冬两季在PAR年际变化中的贡献最大。华北地区在不同季节都是下降区域,而青藏高原西北地区在不同季节都表现为上升趋势。④ PAR年际变化率空间分布在不同时段差异明显,同一地区PAR年际变化率不仅在不同季节存在差异,而且在不同时段也不相同,总体上1990年代之前PAR下降较快,之后下降趋势变缓。     

An approach for quantifying geomorphological impacts for EIA of transportation infrastructures: a case study in northern Spain

A methodological proposal for the assessment of impacts due to linear infrastructures such as motorways, railways, etc. is presented. The approach proposed includes a series of specific issues to be addressed for each geomorphological feature analysed—both ‘static’ and ‘dynamic’—as well as a series of steps to be followed in the process.Geomorphic characteristics potentially affected were initially identified on the basis of a conceptual activities/impacts model that helps to single out geomorphic impacts related to environmental concerns for the area. The following issues were addressed for each individual impact: nature of potential effects; indicators that can be used to measure impacts; criteria of ‘geomorphologic performance’; procedure for measurement/prediction of changes; translation of geomorphologic impacts into significant terms from the viewpoint of human concerns; possible mitigation and/or compensation measures.The procedure has been applied to a case study corresponding to a new motorway in the Basque Country, northern Spain. Geomorphological impacts considered in this analysis included: (1) consumable resources; (2) sites of geomorphological interest; (3) land units with high potential for use, high productivity or value for conservation; (4) visual landscape; (5) slope instability processes. The procedure has been designed for implementation in a Geographic Information System (GIS) environment. Details are given on the application of the method to each individual impact analysed and results are presented in both numerical and map form.Impacts assessed were initially expressed by means of heterogeneous magnitudes, depending on the geomorphological feature considered. Those geomorphological impacts were then translated into significant terms and homogeneous magnitudes. Integration was carried out on the basis of impact values thus obtained. Final integrated results were also expressed in numerical and map form.The method proposed enables comparison of alternatives as well as ‘prediction’ and assessment of impacts in terms directly related to geomorphic characteristics. It also facilitates the expression of those impacts in terms that allow integration with other types of environmental impacts.