Mapping of erosion rates in marly badlands based on a coupling of anatomical changes in exposed roots with slope maps derived from LiDAR data

Black marls form very extensive outcrops in the Alps and constitute some of the most eroded terrains, thus causing major problems of sedimentation in artificial storage systems (e.g. reservoirs) and river systems. In the experimental catchments near Draix (France), soil erosion rates have been measured in the past at the plot scale through a detailed monitoring of surface elevation changes and at the catchment scale through continuous monitoring of sediment yield in traps at basin outlets. More recently, erosion rates have been determined by means of dendrogeomorphic techniques in three monitored catchments of the Draix basin. A total of 48 exposed roots of Scots pine have been sampled and anatomical variations in annual growth rings resulting from denudation analysed. At the plot scale, average medium‐term soil erosion rates derived from exposed roots vary between 1·8 and 13·8 mm yr^?1 (average: 5·9 mm yr^?1) and values are significantly correlated with slope angle. The dendrogeomorphic record of point‐scale soil erosion rates matches very well with soil erosion rates measured in the Draix basins. Based on the point‐scale measurements and dendrogeomorphic results obtained at the point scale, a linear regression model involving slope angle was derived and coupled to high‐resolution slope maps obtained from a LiDAR‐generated digital elevation model so as to generate high‐resolution soil erosion maps. The resulting regression model is statistically significant and average soil erosion rates obtained from the areal erosion map (5·8, 5·2 and 6·2 mm yr^?1 for the Roubine, Moulin and Laval catchments, respectively) prove to be well in concert with average annual erosion rates measured in traps at the outlet of these catchments since 1985 (6·3, 4·1 and 6·4 mm yr^?1). This contribution demonstrates that dendrogeomorphic analyses of roots clearly have significant potential and that they are a powerful tool for the quantification and mapping of soil erosion rates in areas where measurements of past erosion is lacking. Copyright © 2011 John Wiley & Sons, Ltd.     

近50年挠力河流域上游径流深变化过程及其驱动机制研究

近50年挠力河上游径流深总体上呈递减趋势,并且径流深的递减与面上降水量的递减总体上一致,但不同的时段,径流深突变较为明显,并且与面上降水量的多少出现反常现象。通过运用双累积曲线法,得出自1963年以来,研究区域面上降水量与径流深的关系发生了明显的变化,主要表征为径流系数呈减少趋势。采用径流系数差异的秩和T检验法(α=0.05,n1=7,n2=43,T=255,T1α=108.52,T2α=248.47,T>T2α>T1α),同样得出1956~1962年径流系数系列与1963~2005年径流系数系列之间不具有一致性。运用降水—径流深频率曲线分析得出,同样的降水频率下,得出1963~2005年期间比1956~1962年期间径流系数也有显著的减少。研究结果表明:①降水是径流深变化的关键驱动力;②集水区域人为活动导致土地利用/覆被的变化,是径流系数突变的重要原因之一;③自2001年起,径流深的变化主要受龙头桥水库的调节以及水稻灌溉用水量的控制。建议应当增大龙头桥水库生态环境的调水功能,严格限制宝清水文站以上水稻田的发展面积;开展坡耕地退耕还林,增加森林的保育力度。本研究方法及结论,对未来科学配置挠力河流域水资源,尤其是寻求合理的湿地水资源恢复方案,以及分析三江平原旱化过程及其原因的具有参考意义。     

低阻覆盖层对高频大地电磁测深的影响

低阻覆盖层对电磁波具有屏蔽效应,会降低高频大地电磁测深的探测能力。通过一维正演模拟,对无低阻覆盖层时探测能力和有低阻覆盖层时探测能力的变化进行对比研究,表明有低阻覆盖时,探测能力普遍下降;在相同探测能力条件下,高频大地电磁测深可探测异常体上覆围岩厚度与异常体厚度的比值,和围岩与异常体电阻率比值呈线性关系。通过綦江县某铁...     

植被影响下坡面侵蚀临界水流能量试验研究

坡面侵蚀临界水流能量是反映土壤抗蚀作用强弱的重要特征值.利用人工模拟降雨试验,定量研究了在45mm/h、87 mm/h和127 mm/h降雨强度下、20°陡坡面裸地、草地和灌木地的坡面侵蚀临界水流能量.结果表明,不同植被条件下坡面输沙率随径流切应力、单位水流功率和断面比能的增大而增大,有良好的响应关系.裸地、草地和灌木...     

土地利用变化对延安市生态服务价值的影响

利用延安市2001-2007年土地利用基础数据,计算土地利用动态度,并在Costanza生态系统服务价值理论基础上,结合谢高地等的中国生态系统生态服务价值当量因子表,计算出延安不同生态系统单位面积生态服务价值。并依此尝试计算延安市2001年至2007年延安市生态系统服务价值量。研究发现,2007延安市的生态系统服务价值将达到424.28亿元,比2001年增加28.79亿元,增长率为7.28%;各种土地利用方式的生态系统服务价值的敏感性指数(CS)均小于1,表明其对生态系统的价值变化是缺乏弹性的。     

南襄盆地南阳凹陷地热成因研究

通过研究南阳凹陷区域地质构造,地温场特征和热储层特征,认为南阳凹陷地热田为典型的沉积盆地型地热田.南阳凹陷热源主要由地下水在正常梯度下经围岩增温加热和地下水沿深大断裂的上涌两部分组成,朱阳关——夏馆——大河断裂、方城——邓县断裂、新野断裂等活动性深大断裂为热量传导提供了良好的通道,古近系稳定的砂岩泥岩互层为深层地热良好...     

综合地理数据与MODIS物候特征的区域土地覆盖制图(英文)

The study developed a feasible method for large-area land cover mapping with combination of geographical data and phenological characteristics, taking Northeast China (NEC) as the study area. First, with the monthly average of precipitation and temperature datasets, the spatial clustering method was used to divide the NEC into four ecoclimate regions. For each ecoclimate region, geographical variables (annual mean precipitation and temperature, elevation, slope and aspect) were combined with phenological variables derived from the moderate resolution imaging spectroradiometer (MODIS) data (enhanced vegetation index (EVI) and land surface water index (LSWI)), which were taken as input variables of land cover classification. Decision Tree (DT) classifiers were then performed to produce land cover maps for each region. Finally, four resultant land cover maps were mosaicked for the entire NEC (NEC_MODIS), and the land use and land cover data of NEC (NEC_LULC) interpreted from Landsat-TM images was used to evaluate the NEC_MODIS and MODIS land cover product (MODIS_IGBP) in terms of areal and spatial agreement. The results showed that the phenological information derived from EVI and LSWI time series well discriminated land cover classes in NEC, and the overall accuracy was significantly improved by 5.29% with addition of geographical variables. Compared with NEC_LULC for seven aggregation classes, the area errors of NEC_MODIS were much smaller and more stable than that of MODIS_IGBP for most of classes, and the wall-to-wall spatial comparisons at pixel level indicated that NEC_MODIS agreed with NEC_LULC for 71.26% of the NEC, whereas only 62.16% for MODIS_IGBP. The good performance of NEC_MODIS demonstrates that the methodology developed in the study has great potential for timely and detailed land cover mapping in temperate and boreal regions.     

基于HJ1A-HSI超光谱影像的耕地有机质遥感定量反演

以环境小卫星超光谱影像为主要数据源,在耕地有机质实测样本的支持下,开展光谱反射率及其变化形式与有机质的相关性分析,筛选耕地有机质响应的敏感波段与特征组合算法,利用多元回归分析方法,建立基于HSI影像的耕地有机质定量反演模型。研究结果表明,耕地有机质的HSI影像响应波段均位于可见光与近红外波段间,其中以540～860nm范围最佳,相关系数均在0.5左右;HSI反射率对数一阶微分预测模型精度最高,模型及其检验的决定系数都在0.7以上,均方根误差在0.2%左右,可用于顺义区耕地有机质全覆盖空间填图。因此,环境小卫星的超光谱影像对耕地有机质含量具有较好的光谱响应能力,其空间覆盖能力有助于开展县域尺度的耕地有机质遥感反演和空间填图。     

Mapping benthic macroalgal communities in the coastal zone using CHRIS-PROBA mode 2 images

The ecological importance of benthic macroalgal communities in coastal ecosystems has been recognised worldwide and the application of remote sensing to study these communities presents certain advantages respect to in situ methods. The present study used three CHRIS-PROBA images to analyse macroalgal communities distribution in the Seno de Corcubión (NW Spain). The use of this sensor represent a challenge given that its design, build and deployment programme is intended to follow the principles of the “faster, better, cheaper”. To assess the application of this sensor to macroalgal mapping, two types of classifications were carried out: Maximum Likelihood and Spectral Angle Mapper (SAM). Maximum Likelihood classifier showed positive results, reaching overall accuracy percentages higher than 90% and kappa coefficients higher than 0.80 for the bottom classes shallow submerged sand, deep submerged sand, macroalgae less than 5 m and macroalgae between 5 and 10 m depth. The differentiation among macroalgal groups using SAM classifications showed positive results for green seaweeds although the differentiation between brown and red algae was not clear in the study area.     

静态精密单点定位中对流层延迟估计

首先介绍了三种对流层误差改正模型,然后把模型改正值作为先验值,将天顶延迟的剩余误差作为待定参数,分别用卡尔曼滤波和最小二乘两种估计方法计算对流层的残余量;实验证明Saastamoinen模型优于后两种模型,并利用实测气象参数计算对流层延迟,结果表明标准模型与实测气象参数对静态精密单点定位中对流层延迟量的计算结果影响不大...