Modelling of piping collapses and gully headcut landforms:Evaluating topographic variables from different types of DEM

The geomorphic studies are extremely dependent on the quality and spatial resolution of digital elevation model(DEM)data.The unique terrain characteristics of a particular landscape are derived from DEM,which are responsible for initiation and development of ephemeral gullies.As the topographic features of an area significantly influences on the erosive power of the water flow,it is an important task the extraction of terrain features from DEM to properly research gully erosion.Alongside,topography is highly correlated with other geo-environmental factors i.e.geology,climate,soil types,vegetation density and floristic composition,runoff generation,which ultimately influences on gully occurrences.Therefore,terrain morphometric attributes derived from DEM data are used in spatial prediction of gully erosion susceptibility(GES)mapping.In this study,remote sensing-Geographic information system(GIS)tech-niques coupled with machine learning(ML)methods has been used for GES mapping in the parts of Semnan province,Iran.Current research focuses on the comparison of predicted GES result by using three types of DEM i.e.Advanced Land Observation satellite(ALOS),ALOS World 3D-30 m(AW3D30)and Advanced Space borne Thermal Emission and Reflection Radiometer(ASTER)in different resolutions.For further progress of our research work,here we have used thirteen suitable geo-environmental gully erosion conditioning factors(GECFs)based on the multi-collinearity analysis.ML methods of conditional inference forests(Cforest),Cubist model and Elastic net model have been chosen for modelling GES accordingly.Variable's importance of GECFs was measured through sensitivity analysis and result show that elevation is the most important factor for occurrences of gullies in the three aforementioned ML methods(Cforest=21.4,Cubist=19.65 and Elastic net=17.08),followed by lithology and slope.Validation of the model's result was performed through area under curve(AUC)and other statistical indices.The validation result of AUC has shown that Cforest is the most appropriate model for predicting the GES assessment in three different DEMs(AUC value of Cforest in ALOS DEM is 0.994,AW3D30 DEM is 0.989 and ASTER DEM is 0.982)used in this study,followed by elastic net and cubist model.The output result of GES maps will be used by decision-makers for sustainable development of degraded land in this study area.     

利用等高线生成DEM方法的研究

数字高程模型(DEM)是地理信息系统的一种基础数据。高质量数字高程模型的建立是DEM应用的重要前提。等高线地图作为生成DEM的重要而廉价的数据来源,具有十分重要的研究价值。介绍数字高程模型的概念、表示方法和主要表示模型等理论基础。论述了从等高线建立规则格网(Grid)和不规则三角网(TIN)的常用方法,对这些方法作了比较分析。就如何从等高线建立高质量DEM为目的,具体论述了从等高线的预处理、等高线的赋值、等高线的简化直到最后生成DEM整个过程的实现方法。     

GPS高程转换的应用研究

在对GPS高程测量的原理和方法进行初步的探讨的基础上,结合工程应用实际,以数值拟合为主,建立了高程转换的数学模型,同时用VB开发了GPS高程控制转换系统,经试实验测试得出了一些参考性的结论。     

复测水准网动态平差与静态平差结果的比较

用动态平差与静态平差方法对复测水准网资料进行处理,获得两种方法下高程点的变化量及其速率,对高程点变化量及其速率的分析表明：动态平差可以获取任意时刻地壳运动的动态变化信息,其结果在描述地壳垂直运动特征及其过程时更为合理;而在静态平差结果中,待定点的变化量及其精度、速率值均会因固定点位置的不同而不同,其结果中出现了一个强制约束值,该结果淹没或者转移了观测值中可能包含的形变信息。因此认为,在进行地壳垂直运动分析时,宜采用动态平差计算结果。     

Depression and elevation internal solitary waves in a two-layer fluid and their forces on cylindrical piles

Both large amplitude depression and elevation internal solitary waves (ISWs) were observed on the continental shelf of the northwest South China Sea (SCS) during the Wenchang Internal Wave Experiment. In this study, we investigate the characteristics of depression and elevation ISWs based on comparisons between observational results and internal wave theories. It is suggested that the large amplitude depression wave is better represented by the extended Korteweg-de Vries (EKdV) theory than by the KdV model, whereas the large amplitude elevation wave is in better agreement with the KdV equation than with the EKdV theory. Wave-induced forces on a supposed small-diameter cylindrical pile by depression and elevation waves are also estimated using the internal wave theory and Morison formula. The wave-induced force by elevation ISWs is rarely reported in the literature. It is found that the force induced by the elevation wave differs significantly from that by the depression wave, and the elevation wave generally produces greater force on the pile in the lower water column than the depression wave. These results show that ISWs in the study area can present a serious threat to ocean engineering structures, and should not be ignored in the design of oil platforms and ocean operations.     

Landsliding and sediment flux in the Central Swiss Alps: A photogrammetric study of the Schimbrig landslide, Entlebuch

This study explores the effects of hillslope mass failure on the sediment flux in the Waldemme drainage basin, Central Swiss Alps, over decadal time scales. This area is characterized by abundant landslides affecting principally flysch units and is therefore an important sediment source. The analysis concentrates on the Schimbrig landslide that potentially contributes up to 15% to the sediment budget of the Waldemme drainage basin. Volumetric changes are quantified using high-resolution elevation models that were extracted using digital photogrammetric techniques. Sediment discharge data were used to constrain the significance of the landslide for sediment flux in the channel network. The temporal extent of the photogrammetric analysis ranges from 1962 to 1998, including an earth slide event in 1994. The analyses reveal that during periods of low slip rates of the landslide, nearly all of the displaced sediments were eroded and supplied to the channel network. In contrast, during active periods, only a fraction of the displaced landslide mass was exported to the trunk stream. Interestingly, the 1994 earth slide event did not disturb the long-term sediment discharge pattern of the channel network, nor did it influence the sediment flux at a weekly scale. However, suspended sediment pulses correlate with higher-than-average precipitation events. This was especially the case in August 2005 when a storm event (> 100 years return period) triggered several debris flows and earth flows in the whole drainage basin and in the Schimbrig area. This storm did not result in a significant increase in the slip rates of the entire landslide's main body. It is therefore proposed that debris flows and earth flows perform the connectivity between hillslope processes (e.g. landsliding) and the trunk stream during and between phases of landslide activity in this particular setting.     

荒漠地区地表反照率与土壤湿度相关性研究

本试验分别对腾格里沙漠东南缘沙坡头地区流动沙丘和1964年建植的人工固沙植被区生物土壤结皮的地表反照率和土壤湿度进行了同步测定。分析了该区这两种地表类型的反照率与太阳高度角和土壤湿度的相关性,分别提出了地表反照率与太阳高度角和土壤表层(0～2 cm)湿度的经验拟合关系式。结果表明,地表反照率随太阳高度角增加呈指数递减;排除太阳高度角的影响后,地表反照率随土壤湿度的增加也呈指数递减关系;流沙地表反照率对土壤湿度变化的响应要比生物土壤结皮地表敏感。     

1972-2016年东天山哈尔里克山地区冰川物质平衡研究

新疆哈密地区是世界上极端干旱的地区之一,依托高峻的哈尔里克山发育的现代冰川成为维系本区绿洲生存与发展的固体水库。对哈尔里克山地区冰川的监测与研究可获得本区冰川对全球气候变化的响应,也为哈密地区的水资源评估、生态建设与绿洲经济的可持续发展提供基础数据与理论支持。基于地形图、SRTM DEM和资源三号立体像对等数据,采用大地测量法对哈尔里克山地区自地形图成图以来44年间冰川物质平衡进行了研究。结果表明：1972-2016年间冰川平均表面高程下降了（9.15±0.98）m,冰川物质平衡为（-0.18±0.02）m·a^-1 w.e.,冰量损失显著。其中,1972-1999年间,冰川物质平衡为（-0.04±0.01）m·a^-1 w.e.,冰量损失较缓慢;1999-2016年间,冰川物质平衡增至（-0.36±0.05）m·a^-1 w.e.,冰量损失加剧。此外,南北坡的冰川物质平衡空间差异性明显。1972-1999年间,北坡冰川物质平衡为（-0.05±0.01）m·a^-1 w.e.,南坡冰川物质平衡为（-0.02±0.01）m·a^-1 w.e.,北坡冰川物质损失略大于南坡;1999-2016年间,北坡冰川物质平衡为（-0.27±0.04）m·a^-1 w.e.,南坡冰川物质平衡为（-0.45±0.05）m·a^-1 w.e.,南坡冰川损失量远大于北坡。结合哈密与伊吾气象观测资料分析可知：冰川的物质平衡与气温变化呈现出很强的相关性,研究区的降水量自20世纪50年代以来呈增加趋势,但温度变化对冰川物质平衡的影响大于略微增加的降水的影响。1999年后,南坡冬夏季气温的增长幅度均超过北坡,这是南坡冰量损失加剧的主因。     

山体基面高度对青藏高原及其周边地区雪线空间分布的影响

山体效应是地理地带性之外,在大尺度上影响垂直带分布的主要因素,山体基面高度则是山体效应的第一影响因子。青藏高原及其周边地区,雪线呈现出中心高、周围低,与山体基面高度相一致的环状分布模式。为分析山体基面高度对雪线分布的影响,本文共收集青藏高原及周边地区雪线数据142个,采用纬度、经度和基面高度为自变量的三元一次方程拟合研究区雪线分布,计算各自的标准回归系数和相对贡献率,再将基面高度划分成5个子集（0~1000 m、1001~2000 m、2001~3000 m、3001~4000 m和4001~5000 m）,分析基面高度不同的山地对雪线的影响差异。结果表明：① 在青藏高原,纬度、经度和基面高度对雪线高度分布的相对贡献率分别为51.49%、16.31%和32.20%;② 随着基面高度的增高,各子集模型的决定系数虽有逐渐降低的趋势,但仍保持在较高的值域（R²=0.895~0.668）,说明模型的有效性;③ 随基面高度的抬升,纬度和山体基面高度对雪线分布高度的相对贡献率分别表现出降低（92.6%~48.99%,R²=0.855）和增大（3.33%~31.76%,R²=0.582）的趋势,表明基面高度越高,其对雪线分布高度的影响越大。     

武陵山区植被净第一性生产力的时空格局及其与地形因子的关系

本研究旨在探讨2001-2010年武陵山区植被净第一性生产力(NPP)的时空变化格局及其与主要地形因子间的关系。利用MODIS MOD17A3数据、地形数据,以及土地覆盖等数据,基于回归分析和分级统计等方法,开展了武陵山区植被NPP的时空变化格局及其与高程和坡度2个基本地形因子间关系的研究。结果表明：(1)10年间武陵山区植被年NPP的平均值为590.72 gC·m^-2·yr^-1,森林、灌草和农田的NPP平均值分别为596.79 gC·m^-2·yr^-1、586.98 gC·m^-2·yr^-1和563.31 gC·m^-2·yr^-1;(2)2001-2010年武陵山区植被NPP总量的平均值为98.90 TgC·yr^-1,波动范围为92.79 ~ 106.99 TgC·yr^-1,从NPP年际变化的空间分布来看,武陵山区植被NPP的变化趋势整体上呈北增南减的格局;(3)分别以30 m和3°为高程和坡度的分级级差时,发现武陵山区平均植被NPP随海拔和坡度的升高有明显的先增加后缓慢下降的趋势,但在海拔高于1500 m及坡度大于50°的地区,平均植被NPP出现了较大波动,然而,在波动中均有随海拔和坡度的增加而先上升后再下降的趋势;(4)在地理区间尺度上,200~1000 m的高程段以及5~25°的坡度段内植被NPP的平均值较高,500 m以上的高程区间平均植被NPP依次递减,但50°以上的坡度区间平均植被NPP反而有所增加,这在一定程度上反映了坡度高于某一临界值后坡面侵蚀强度又有所下降的趋势。