Impact of root architecture on the erosion‐reducing potential of roots during concentrated flow

Many studies focus on the effects of vegetation cover on water erosion rates, whereas little attention has been paid to the effects of the below ground biomass. Recent research indicates that roots can reduce concentrated flow erosion rates significantly. In order to predict this root effect more accurately, this experimental study aims at gaining more insight into the importance of root architecture, soil and flow characteristics to the erosion‐reducing potential of roots during concentrated flow. Treatments were (1) bare, (2) grass (representing a fine‐branched root system), (3) carrots (representing a tap root system) and (4) carrots and fine‐branched weeds (representing both tap and fine‐branched roots). The soil types tested were a sandy loam and a silt loam. For each treatment, root density, root length density and mean root diameter (D) were assessed. Relative soil detachment rates and mean bottom flow shear stress were calculated. The results indicate that tap roots reduce the erosion rates to a lesser extent compared with fine‐branched roots. Different relationships linking relative soil detachment rate with root density could be established for different root diameter classes. Carrots with very fine roots (D < 5 mm) show a similar negative exponential relationship between root density and relative soil detachment rate to grass roots. With increasing root diameter (5 < D < 15 mm) the erosion‐reducing effect of carrot type roots becomes less pronounced. Additionally, an equation estimating the erosion‐reducing potential of root systems containing both tap roots and fine‐branched roots could be established. Moreover, the erosion‐reducing potential of grass roots is less pronounced for a sandy loam soil compared with a silt loam soil and a larger erosion‐reducing potential for both grass and carrot roots was found for initially wet soils. For carrots grown on a sandy loam soil, the erosion‐reducing effect of roots decreases with increasing flow shear stress. For grasses, grown on both soil types, no significant differences could be found according to flow shear stress. The erosion‐reducing effect of roots during concentrated flow is much more pronounced than suggested in previous studies dealing with interrill and rill erosion. Root density and root diameter explain the observed erosion rates during concentrated flow well for the different soil types tested. Copyright © 2007 John Wiley & Sons, Ltd.     

MCAI课件的开发

介绍了开发多媒体计算机辅助教学课件《台风》的设计思想及过程，其中包括系统分析、结构设计、关键技术和课件实现等，为相关人员开发MCAI（Multimedia Computer-Assisted Instruction)课件提供了借鉴。     

基于分类K—L变换的多波段遥感图像近无损压缩方法

去除空间和谱间相关性是多波段遥感图像压缩中的重要环节，为了得到更好的去相关效果，将矢量量化方法引入多波段遥感图像压缩中，以去除对应同一地物的波段矢量间的相关性，再通过分类K－L变换去除量化误差图像的变间相关性，对K－L变换后的特征图像采用预测树的方法进一步去除谱间结构相关性和空间相关性，实验结果表明，该方法可以取得很好的压缩效果。     

一种面向地理信息系统的空间索引方法

空间检索技术是有交地管理和操纵空间数据的一种必要手段，本文分析了目前常用的空间检索方法在地理信息系统应用上的局限性，指出了一种基于凸多边形的空间索引技术，本文首衔介绍了目前常用的几类空间索引技术及其特点，接着讨论卫面向地理信息的空间索引技术面临的基本问题，提出了基于凸多边形的空间索引结构－CP－树，并侧重分析了其空间运算算法及时空效率，最后指出了空间索引技术所存在的问题及下一步的研究方向。     

天目山柳杉树轮δ13C对华东地区降水序列的重建

对采自天目山的柳杉树轮进行交叉定年后,得到树轮的δ¹³C年序列。将δ¹³C年序列去除大气CO₂的影响,保留其高频振荡部分。利用华东地区部分气象站的降水资料,通过主成份分析,分析了降水与树轮δ¹³C之间的关系。考虑滞后效应,利用回归方法重建了过去一百多年来的华东地区不同时段的降水序列,并分析其变化特征。     

陈传康的学术生命路径和学术树

通过扩展传统的生命路径 ( life path)概念、并建立学术树 ( discipline tree)概念 ,研究已故当代中国著名地理学家、旅游学家陈传康教授的学术史。在统计了陈传康教授全部 1 2 1 2种次的学术著述的基础上 ,首先在时间纬度上建立了学术生命路径曲线、系统式和时序式生命路径表 ,用以统计分析陈传康教授的学术论著种次的分布情况和变迁过程 ,一方面反映出著作量随中国当代历史的脉动而出现的起伏变化 ,另一方面通过观察时间轴上这些著述的学科点的分布变化 ,不仅体现 2 0世纪 5 0年代～ 90年代陈传康学术偏好的转徙 ,也反映出 5 0年间中国地理学整体的变化轨迹。利用学术树的概念 ,统计分析陈传康一生构筑的个人学术体系 ,最终勾勒出其一生经营的学术群落的整体景观。     

River flow mass exponents with fractal channel networks and rainfall

An important problem in hydrologic science is understanding how river flow is influenced by rainfall properties and drainage basin characteristics. In this paper we consider one approach, the use of mass exponents, in examining the relation of river flow to rainfall and the channel network, which provides the primary conduit for transport of water to the outlet in a large basin. Mass exponents, which characterize the power-law behavior of moments as a function of scale, are ideally suited for defining scaling behavior of processes that exhibit a high degree of variability or intermittency. The main result in this paper is an expression relating the mass exponent of flow resulting from an instantaneous burst of rainfall to the mass exponents of spatial rainfall and that of the network width function. Spatial rainfall is modeled as a random multiplicative cascade and the channel network as a recursive replacement tree; these fractal models reproduce certain types of self-similar behavior seen in actual rainfall and networks. It is shown that under these modeling assumptions the scaling behavior of flow mirrors that of rainfall if rainfall is highly variable in space, and on the other hand flow mirrors the structure of the network if rainfall is not so highly variable.     

用地层倾角测井资料解释复杂构造的方法

倾角测井矢量图可以标示出井眼范围内各深度点的地层产状，一定的地层构造形态在矢量图上有一定的倾角矢量组合模式。通过正演计算，总结出了１９种褶曲和断层等构造组合模式的样板及在一口井内各构造模式间的“串”、“缺”、“嵌”连接规律。对照组合模式样板进行矢量组合模式识别，采用“倾角矢量逐点叠加法”，可把井眼范围纵向排列的倾角矢量转换成任意方位的地层视产状，绘制构造剖面图。用多个剖面的地层空间坐标数据可绘制倾角构造平面图，确定钻遇构造的形态。据此原理，编制了一套倾角测井构造解释软件系统。     

Flood-type trend analysis for alpine catchments

ABSTRACT

In many places, magnitudes and frequencies of floods are expected to increase due to climate change. To understand these changes better, trend analyses of historical data are helpful. However, traditional trend analyses do not address issues related to shifts in the relative contributions of rainfall versus snowmelt floods, or in the frequency of a particular flood type. We present a novel approach for quantifying such trends in time series of floods using a fuzzy decision tree for event classification and applied it to maximal annual and seasonal floods in 27 alpine catchments for the period 1980–2014. Trends in flood types were studied with Sen’s slope and double mass curves. Our results reveal a decreasing number of rain-on-snow and an increasing number of short rainfall events in all catchments, with flash floods increasing in smaller catchments. Overall, the results demonstrate the value of incorporating a fuzzy flood-type classification into flood trend analyses.     

Analyzing multi-year rice-fallow dynamics in Odisha using multi-temporal Landsat-8 OLI and Sentinel-1 Data

ABSTRACT

Sustainable intensification of existing cropland is one of the most viable options for meeting the escalating food demands of the ever-increasing population in the world. Accurate geospatial data about the potential single-crop (rice-fallows) areas is vital for policymakers to target the agro-technologies for enhancing crop productivity and intensification. Therefore, the study aimed to evaluate and understand the dynamics of rice-fallows in the Odisha state of India, using SAR (Sentinel-1) and Optical (Landsat OLI) datasets. This study utilized a decision-tree approach and Principal component analysis (PCA) for the segmentation and separation of different vegetation classes. The estimated overall accuracy of extracted rice-fallow maps was in the range of 84 to 85 percent. The study identified about 2.2, 2.0 and 2.1mha of Rice-Fallows in the years 2015–16, 2016–17, and 2017–18, respectively. The combined analysis (all three years) of rice-fallow maps identified about 1.34mha of permanent rice-fallows, whereas the remaining 0.6–0.8mha area was under the current-fallow category. About 50% of the total permanent rice-fallows were detected in the rainfed areas of Mayurbhanj, Bhadrak, Bolangir, Sundargarh, Keonjhar, Baleswar, Nawarangpur and Bargarh districts. The study also illustrated the time-series profiles of SMAP (soil moisture) datasets for the ten agroclimatic zones of the Odisha, which can be utilized (along with rice-fallow maps) for the selection of crop and cultivars (e.g. short or medium duration pulses or oilseeds) to target the rice fallows. The approach utilized in the current study can be scaled up in similar areas of South and South-east Asia and Africa to identify single-crop areas for targeting improved technologies for enhanced crop productivity and intensification.