Influence of Topography on the Distribution and Structure of Woody Plants in the Senegalese Sahel (Sandy Ferlo)

This study describes the floristic composition and structure of a woody stand in the Senegalese Sahel, paying particular attention to the edaphic factors of its floristic composition. A stratified inventory considering the different relief units was adopted. Woody vegetation was surveyed using a dendrometric approach. The results obtained show that the flora is dominated by a few species adapted to drought, such as Balanites aegyptiaca (L.) Del., Calotropis procera Ait. and Boscia senegalensis (Pers.). The distribution of this flora and the structure of the ligneous plants are linked to the topography. In the lowlands, the flora is more diversified and the ligneous plants reach their optimum level of development compared with the higher relief areas. In the lowlands, there are a few woody species which, in the past, were indicative of better climatic conditions. These are Anogeissus leiocarpus (DC.), Commiphora africana (A. Rich.), Feretia apodanthera Del., Loeseneriella africana (A. Smith), Mitragyna inermis (Willd.) and Sclerocarya birrea (A. Rich). It is important that their reintroduction into reforestation projects takes account of their edaphic preference.

A VGGNet-based correction for satellite altimetry-derived gravity anomalies to improve the accuracy of bathymetry to depths of 6500 m

Understanding the topographic patterns of the seafloor is a very important part of understanding our planet.Although the science involved in bathymetric surveying has advanced much over the decades,less than 20%of the seafloor has been precisely modeled to date,and there is an urgent need to improve the accuracy and reduce the uncertainty of underwater survey data.In this study,we introduce a pretrained visual geometry group network(VGGNet)method based on deep learning.To apply this method,we input gravity anomaly data derived from ship measurements and satellite altimetry into the model and correct the latter,which has a larger spatial coverage,based on the former,which is considered the true value and is more accurate.After obtaining the corrected high-precision gravity model,it is inverted to the corresponding bathymetric model by applying the gravity-depth correlation.We choose four data pairs collected from different environments,i.e.,the Southern Ocean,Pacific Ocean,Atlantic Ocean and Caribbean Sea,to evaluate the topographic correction results of the model.The experiments show that the coefficient of determination(R~2)reaches 0.834 among the results of the four experimental groups,signifying a high correlation.The standard deviation and normalized root mean square error are also evaluated,and the accuracy of their performance improved by up to 24.2%compared with similar research done in recent years.The evaluation of the R^(2) values at different water depths shows that our model can achieve performance results above 0.90 at certain water depths and can also significantly improve results from mid-water depths when compared to previous research.Finally,the bathymetry corrected by our model is able to show an accuracy improvement level of more than 21%within 1%of the total water depths,which is sufficient to prove that the VGGNet-based method has the ability to perform a gravity-bathymetry correction and achieve outstanding results.

Sedimentary architecture of submarine channel-lobe systems under different seafloor topography:Insights from the Rovuma Basin offshore East Africa

Seafloor topography plays an important role in the evolution of submarine lobes.However,it is still not so clear how the shape of slope affects the three-dimensional(3-D)architecture of submarine lobes.In this study,we analyze the effect of topography factors on different hierarchical lobe architectures that formed during Pliocene to Quaternary in the Rovuma Basin offshore East Africa.We characterize the shape,size and growth pattern of different hierarchical lobe architectures using 3-D seismic data.We find that the relief of the topographic slope determines the location of preferential deposition of lobe complexes and single lobes.When the topography is irregular and presents topographic lows,lobe complexes first infill these depressions.Single lobes are deposited preferentially at positions with higher longitudinal(i.e.across-slope)slope gradients.As the longitudinal slope becomes higher,the aspect ratio of the single lobes increases.Lateral(i.e.along-slope)topography does not seem to have a strong influence on the shape of single lobe,but it seems to affect the overlap of single lobes.When the lateral slope gradient is relatively high,the single lobes tend to have a larger overlap surface.Furthermore,as the average of lateral slope and longitudinal slope gets greater,the width/thickness ratio of the single lobe is smaller,i.e.sediments tend to accumulate vertically.The results demonstrate that the shape of slopes more comprehensively influences the 3-D architecture of lobes in natural deep-sea systems than previously other lobe deposits and analogue experiments,which helps us better understand the development and evolution of the distal parts of turbidite systems.

Influence of topography on the fine structures of stratospheric gravity waves:An analysis using COSMIC-2 temperature data

We derive the potential energy of gravity waves(GWs)in the upper troposphere and stratosphere at 45°S-45°N from December 2019 to November 2022 by using temperature profiles retrieved from the Constellation Observing System for Meteorology,Ionosphere,and Climate-2(COSMIC-2)satellite.Owing to the dense sampling of COSMIC-2,in addition to the strong peaks of gravity wave potential energy(GWPE)above the Andes and Tibetan Plateau,we found weak peaks above the Rocky,Atlas,Caucasus,and Tianshan Mountains.The land-sea contrast is responsible for the longitudinal variations of the GWPE in the lower and upper stratosphere.At 40°N/S,the peaks were mainly above the topographic regions during the winter.At 20°N/S,the peaks were a slight distance away from the topographic regions and might be the combined effect of nontopographic GWs and mountain waves.Near the Equator,the peaks were mainly above the regions with the lowest sea level altitude and may have resulted from convection.Our results indicate that even above the local regions with lower sea level altitudes compared with the Andes and Tibetan Plateau,the GWPE also exhibits fine structures in geographic distributions.We found that dissipation layers above the tropopause jet provide the body force to generate secondary waves in the upper stratosphere,especially during the winter months of each hemisphere and at latitudes of greater than 20°N/S.

GNSS Technology’s Contribution to Topography: Evaluative Study of Gaps between Methods Topographies

New information and communication technologies have led to the emergence of new techniques in our daily lives. Indeed, in topography, a lightning development of new techniques and new devices has been noticed. This development has given rise to a multitude of choices of devices and various classes of precision. This implies that the decision-makers have to study the adequate equipment and the appropriate technique according to the topographic task to be realized. The objective is not to compare GNSS and topographic techniques, but to point out the contribution of the Global Navigation Satelite System (GNSS) techniques of topographic work. Thus, a theoretical study with a critical eye on the scientific principle of calculating the third topographic dimension followed by a leveling campaign, Real Time Kinematic (RTK) surveys will be used in order to be able to compare and interpret the result from these campaigns. The study of the difference resulting from the practical campaigns will allow us to identify the contribution of GNSS technology.

Evolution and bathymetry of glacial lake at the lowest elevation in Nepal Himalaya

One of the prominent impacts of climate change induced glacier retreat in the Himalayas is the formation and expansion of glacial lakes. The newly formed glacial lakes are mostly located in higher altitudinal regions(4200-5800 m) of Himalaya,however, a new glacial lake(Kapuche, 28.446° N and 84.116° E) have been reported to be emerged in the relatively low elevation area of ~2450 m above sea level(masl) in the Nepal Himalaya. This short communication presents the remote sensing-based evolution and field-based bathymetry of Kapuche lake, and further discusses its formation process and lake type for being a glacial lake at the lowest elevation in Nepal Himalaya.

Shallow water bathymetry based on a back propagation neural network and ensemble learning using multispectral satellite imagery

The back propagation(BP)neural network method is widely used in bathymetry based on multispectral satellite imagery.However,the classical BP neural network method faces a potential problem because it easily falls into a local minimum,leading to model training failure.This study confirmed that the local minimum problem of the BP neural network method exists in the bathymetry field and cannot be ignored.Furthermore,to solve the local minimum problem of the BP neural network method,a bathymetry method based on a BP neural network and ensemble learning(BPEL)is proposed.First,the remote sensing imagery and training sample were used as input datasets,and the BP method was used as the base learner to produce multiple water depth inversion results.Then,a new ensemble strategy,namely the minimum outlying degree method,was proposed and used to integrate the water depth inversion results.Finally,an ensemble bathymetric map was acquired.Anda Reef,northeastern Jiuzhang Atoll,and Pingtan coastal zone were selected as test cases to validate the proposed method.Compared with the BP neural network method,the root-mean-square error and the average relative error of the BPEL method can reduce by 0.65–2.84 m and 16%–46%in the three test cases at most.The results showed that the proposed BPEL method could solve the local minimum problem of the BP neural network method and obtain highly robust and accurate bathymetric maps.

Shallow sea topography detection using fully Polarimetric Gaofen-3 SAR data based on swell patterns

Compared to single-polarization synthetic aperture radar(SAR)data,fully polarimetric SAR data can provide more detailed information of the sea surface,which is important for applications such as shallow sea topography detection.The Gaofen-3 satellite provides abundant polarimetric SAR data for ocean research.In this paper,a shallow sea topography detection method was proposed based on fully polarimetric Gaofen-3 SAR data.This method considers swell patterns and only requires SAR data and little prior knowledge of the water depth to detect shallow sea topography.Wave tracking was performed based on preprocessed fully polarimetric SAR data,and the water depth was then calculated considering the wave parameters and the linear dispersion relationships.In this paper,four study areas were selected for experiments,and the experimental results indicated that the polarimetric scattering parameterαhad higher detection accuracy than quad-polarization images.The mean relative errors were 14.52%,10.30%,12.56%,and 12.90%,respectively,in the four study areas.In addition,this paper also analyzed the detection ability of this model for different topographies,and the experiments revealed that the topography could be well recognized when the topography gradient is small,the topography gradient direction is close to the wave propagation direction,and the isobath line is regular.

Research on Representative Engineering Applications of Anemometer Towers Location in Complex TopographyWind Resource Assessment

The typical location and number of anemometer towers in the assessed area are the key to the accuracy of wind resource assessment in complex topography.As calculation examples,this paper used two typical complex topography wind farms in Guangxi,Yunnan province in China.Firstly,we simulated the wind resource status of the anemometer tower in the Meteodyn WT software.Secondly,we compared the simulated wind resource with the actual measured data by the anemometer tower in the same situation.Thirdly,we analyzed the influence of anemometer tower location and quantity in the accuracy of wind resource assessment through the comparison results.The results showed that the range which the anemometer tower can represent is limited(<5 kilometers),and the prediction error more than 5%.Besides,the anemometer towers in special terrain areas(such as wind acceleration areas)cannot be used as a representative choice.The relative error of the simulated average annual wind speed by choose different number of anemometer towers is about 4%,and the grid-connected power generation more than 6%.The representative effect of anemometer towers is of crucial for improving the accuracy of wind resource assessment in engineering applications.

Coastal bathymetry inversion using SAR-based altimetric gravity data:A case study over the South Sandwich Island

The global bathymetry models are usually of low accuracy over the coastline of polar areas due to the harsh climatic environment and the complex topography.Satellite altimetric gravity data can be a supplement and plays a key role in bathymetry modeling over these regions.The Synthetic Aperture Radar(SAR)altimeters in the missions like CryoSat-2 and Sentinel-3A/3B can relieve waveform contamination that existed in conventional altimeters and provide data with improved accuracy and spatial resolution.In this study,we investigate the potential application of SAR altimetric gravity data in enhancing coastal bathymetry,where the effects on local bathymetry modeling introduced from SAR altimetry data are quantified and evaluated.Furthermore,we study the effects on bathymetry modeling by using different scale factor calculation approaches,where a partition-wise scheme is implemented.The numerical experiment over the South Sandwich Islands near Antarctica suggests that using SARbased altimetric gravity data improves local coastal bathymetry modeling,compared with the model calculated without SAR altimetry data by a magnitude of 3:55 m within 10 km of offshore areas.Moreover,by using the partition-wise scheme for scale factor calculation,the quality of the coastal bathymetry model is improved by 7.34 m compared with the result derived from the traditional method.These results indicate the superiority of using SAR altimetry data in coastal bathymetry inversion.

Evaluating the effects of topographical factors on the precipitation simulated by kilometer-scale versus quarter-degree dynamical downscaling models in eastern China

与传统的1/4度(≈25-30 km)动力降尺度模拟相比,公里尺度模拟的降水空间分布与观测结果更为接近.为了研究这一差异原因,本研究以华东地区为例,探究了地形因子在观测和模拟的降水中的作用.为了更好地体现地形因子对降水分布非均匀性的影响,以及不同地形因子作用的尺度差异,本研究采用多尺度地理加权回归模型,对五个主要地形因子与公里尺度和1/4度分辨率模拟的降水的关系进行了评估.基于观测数据的研究结果显示地形起伏度,地形高程和离海岸线距离对华东地区降水分布的非均匀性都有重要影响,其中地形起伏度在研究区大部分站点降水分布中起主导作用;公里尺度模拟结果基本反映了地形起伏度的主导作用;而1/4度模拟结果表现出降水对地形高程的过度依赖.本研究揭示了公里尺度地形分布对中国东部降水的非均匀分布的关键作用,研究结果可以为改进降水模拟提供新的思路.

俯仰式播种单体仿形性能检测试验台设计与试验

为解决播种单体仿形机构性能难以检测的问题,设计了俯仰式播种单体仿形性能检测试验台。阐述了试验台组成结构与工作原理,对其高速传动系统、液压升降系统、监控系统以及关键部件参数进行设计。应用ANSYS软件对台架整体和关键部件进行静力学分析和模态分析,验证结构设计的合理性。为检验俯仰式播种单体仿形性能检测试验台的实际检测效果,以德邦大为1205型牵引式免耕精量播种机播种单体为研究对象,先以液压杆伸出量与传送带速度为试验因素,以监控系统误差为评价指标进行试验。试验得出,在液压杆伸出量为0~200 mm范围内,监控系统角度传感器最大误差为0.69 mm;在传送带速度8~19 km/范围内,光电编码器最大误差为0.18 km/h。确认监控系统准确性后,再以单体速度为试验因素,采集速度8、10、12 km/h下地块的起伏数据为目标曲线,以地形起伏模拟曲线的绝对误差平均值为指标进行单因素试验,试验得出,所设计的试验台可有效模拟田间地面的起伏频率与起伏量,绝对误差平均值为1.86 mm,满足播种单体仿形性能检测需求。

东亚江豚全球适宜栖息地分布预测

东亚江豚是国家二级重点保护野生动物,IUCN红色名录濒危EN物种,主要分布于中国、日本和韩国水域,目前的关注度较少,科学家还未对其栖息地进行过相关系统的评价.本研究基于MaxEnt模型和ArcGIS平台以及物种分布位点和6种环境变量数据,构建了适宜栖息地的模型,模型的训练集和测试集的AUC分别为0.973和0.965,表明模型的预测能力良好.模型预测适合度大于0.5的中高度适宜栖息地约213110.2 km^(2),主要分布在台湾海峡以北的中国沿岸海域(159865.4 km^(2))、朝鲜半岛西南部海域(37863.3 km^(2))和日本的东南部海域(4615 km^(2));适合度大于0.7的高适宜区主要分布于浙江北部至江苏南通,盐城到连云港附近,山东威海以北的渤海海域,韩国的江华湾及周边海域.通过分析因子贡献率、排列重要性和刀切法检验,水深、盐度以及海表温度在东亚江豚栖息地选择中起到比较重要的作用.基于本研究结果,建议对长江口及渤海湾增加现有保护区的面积或建立新的保护区,管控区内的人类活动,促进东亚江豚的生存和发展.

遥感水深反演海道测量业务化应用中的评估与思考

水深是海道测量最重要的地理要素,反映海底地貌形态和航区通航能力,在海道测量中占有重要的地位,遥感水深反演(SDB)对于补充传统声学测深系统效率不足具有重要意义。本文通过对现有研究总结,从实地因素、影像因素和反演方法3个维度分析了反演考量的要素,对照海道测量精度要求和业务化需求两个维度对水深反演适用性进行了评估。结果表明,精度方面,SDB水平精度已经满足要求,大部分多光谱反演相对垂直精度约达20%,但受水体浑浊程度影响较大,距海道测量业务化应用尚有不足,海底覆盖方面已经有了很好的实践。最后,从不确定性可控性、反演模型外推和多源数据同化方面分析了SDB应用所面临的问题,并给出了一些思考和建议。

山地地震勘探中的静校正对成像质量的影响及改进策略

在山地地震勘探中,地震数据常常被校正到固定基准面上进行偏移成像,从而造成成像失真。本文从数学上直接推导公式,证明了静校正后从基准面进行偏移会造成倾角误差;通过山地起伏地表正演模型,说明了静校正后从基准面偏移会扭曲波场,导致严重的偏移成像失真。此外,应用四川南部山区的实际案例,分别从基准面偏移及从起伏地表偏移,叠前时间偏移和深度偏移结果均表明,在复杂的山地地形中,剧烈的高差变化会导致固定基准面偏移成像失真,应用起伏地表偏移能改进山地地震勘探资料的成像质量。本文的研究结果对理论研究和实际地震数据处理具有重要意义。

塞斯纳172飞机发动机机匣脉冲激光清洗工艺研究

针对航空发动机机匣表面除漆需求,采用纳秒脉冲激光开展了塞斯纳172飞机发动机机匣表面漆层的激光清洗研究。通过对机匣除漆区域的表面形貌及粗糙度进行分析,探究了激光能量密度与扫描速度对机匣表面漆层清洗效果的影响规律,确定了机匣激光除漆最佳工艺参数,并对机匣除漆后的表面质量、显微硬度及粗糙度进行综合评估。结果表明,能量密度和扫描速度均显著影响机匣除漆质量,能量密度18.33 J/cm^(2)、扫描速度1600 mm/s时,可实现除漆率98.7%,表面粗糙度S_(a)为2.48μm,机匣本身未损伤,表面显微硬度提升1.9%,满足机匣表面除漆质量要求。研究结果为发动机机匣激光除漆提供了理论与技术支持。

切削速度对某新型易切削钢切屑形态及加工表面形貌影响

为了明确切削速度对某新型易切削钢切屑形态及加工表面形貌的影响规律,开展了不同切削速度下某新型易切钢的切削试验,研究切屑形态和已加工表面形貌并分析其产生原因。结果表明:宏观上,在切削速度大于150 m/min时,该易切削钢切屑以短管螺旋状为主,当切削速度小于150 m/min时,切屑以发条状和破断弧形为主,形成锯齿形切屑的临界切削速度大约在200 m/min;切削速度影响切屑底面形貌,在低速切削时,切屑底面较多大小不一的撕裂状凹坑、沟槽,当切削速度增大至200 m/min时,能够形成表面较光滑的切屑底面;低速切削该易切削钢时,工件表面粗糙度较大,3D形貌显示波峰高度、波谷深度也均较大,随着切削速度的增加,粗糙度减小,3D形貌亦趋于平缓。

易切削钢Te元素含量对其切削表面形貌的影响研究

采用硬质合金刀具对三种不同Te元素含量的易切削钢12L14,12L14+Te(0.017),12L14+Te(0.05)进行切削实验,研究其已加工表面形貌状态及原因。试验研究结果表明:12L14+Te(0.017)材料的已加工表面最光滑,粗糙度值最小;12L14+Te(0.05)材料的已加工表面最粗糙,微观形貌显示存在较多撕裂;切削不含Te元素的12L14材料时,已加工表面形貌与粗糙度值介于二者之间;添加Te元素材料会生成MnTe等熔点较低的化合物,在切削中起到应力集中源的作用,易导致已加工表面出现微观撕裂现象,但同时减小了刀具积屑瘤形成的可能,所以易切削钢切削表面形貌的生成是二者因素综合影响的结果。

超声混粉电火花加工热力学仿真及表面形貌研究

为了研究超声振动和混粉对电火花加工的影响,基于传热理论,结合超声和混粉特性建立了超声混粉电火花传热模型。基于建立的传热模型对超声混粉电火花加工去除材料过程进行瞬态热力学仿真,并通过实验验证了仿真结果的准确性。通过仿真和实验分析了普通电火花、超声电火花、混粉电火花和超声混粉电火花四种加工方式,结果表明超声混粉电火花加工效率比普通电火花加工效率提高了23%。加入混粉和施加超声可以减少加工表面积碳,提高表面质量;可以使放电凹坑变得更加规则,使表面粗糙度降低。混粉电火花加工相对于普通电火花加工其表面粗糙度平均降低了8.9%,超声混粉电火花表面粗糙度相对于普通电火花平均降低了4.3%。

三维地形条件下雨水入渗与地表径流耦合分析

为定量表述降雨发生后不同时刻下三维边坡土壤水分的分布和变化规律,基于有限体积法建立了雨水入渗与地表径流耦合模型.耦合模型分别采用二维不可压缩Navier-Stokes方程和三维非线性Richards方程作为地表径流和地下水渗流的控制方程,在复杂三维地形条件下具有较强的适用性.对一处实际工程的分析结果表明:在三维地形因素的控制下,降雨引发的地表径流主要汇集于总体上自高向低流动的优势径流途径,并对降雨强度的变化产生延迟响应;在地表径流作用下,地表积水深度在局部空间上呈现出地势低洼处远大于地势较高处的显著不均匀分布,并且这种不均匀性随时间不断加剧;地表积水汇集产生的高水力梯度导致低洼处的雨水入渗更为强烈且持久.研究表明,考虑三维地形因素的雨水入渗与地表径流耦合模型能够为实际工程中边坡稳定性分析提供准确合理的数据支撑.