Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Most studies have the achieved rapid and accurate determination of soil organic carbon (SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial distribution of SOC. To predict and map SOC at a regional scale, we obtained fourteen hyperspectral images from the Gaofen-5 (GF-5) satellite and decomposed and reconstructed the original reflectance (OR) and the first derivative reflectance (FDR) using discrete wavelet transform (DWT) at different scales. At these different scales, as inputs, we selected the 3 optimal bands with the highest weight coefficient using principal component analysis and chose the normalized difference index (NDI), ratio index (RI) and difference index (DI) with the strongest correlation with the SOC content using a contour map method. These inputs were then used to build regional-scale SOC prediction models using random forest (RF), support vector machine (SVM) and back-propagation neural network (BPNN) algorithms. The results indicated that: 1) at a low decomposition scale, DWT can effectively eliminate the noise in satellite hyperspectral data, and the FDR combined with DWT can improve the SOC prediction accuracy significantly; 2) the method of selecting inputs using principal component analysis and a contour map can eliminate the redundancy of hyperspectral data while retaining the physical meaning of the inputs. For the model with the highest prediction accuracy, the inputs were all derived from the wavelength range of SOC variations; 3) the differences in prediction accuracy among the different prediction models are small; and 4) the SOC prediction accuracy using hyperspectral satellite data is greatly improved compared with that of previous SOC prediction studies using multispectral satellite data. This study provides a highly robust and accurate method for predicting and mapping regional SOC contents.  相似文献   

Reliability of mooring lines and piles for a permanently manned vessel in a tropical cyclone environment     

《Applied Ocean Research》2019

The factors of safety for stationkeeping systems in current standards (ISO, API) are not derived or validated using reliability analyses. As the oil and gas exploration and production is breaking new boundaries, deploying new floating systems and moving into regions with harsher environments, it is of paramount importance to understand what level of reliability these new marine structures are achieving. This paper presents a reliability analysis of the mooring system of a Floating LNG (FLNG) vessel permanently moored and permanently manned offshore North West Australia in a tropical cyclone environment. The reliability analysis addresses both the mooring chain and the pile foundation. The analysis accounts for the long term characteristics of the environment, including the short term variability, in response to a given sea state and the variability and uncertainty in strength of the mooring chain and the pile. The stationkeeping system was analysed using detailed time domain simulations, capturing system non-linearities and low frequency oscillations as well as wave frequency responses and, thereby, reducing modelling uncertainties to a minimum.It is found that for the conditions modelled, neither the chain nor the pile meet a target reliability of 10⁻⁴/annum using the factors of safety commonly used in design following current ISO and API standards. New factors of safety are proposed to achieve this target reliability. For the pile design, one complicating factor is that current design standards do not explicitly define the exceedance probability that should be associated with the characteristic value of the undrained shear strength to be used in the design. It is demonstrated that the required factor of safety is crucially dependent on the definition of this characteristic value and on the level and the type of uncertainty in the soil strength profile. A recommendation is made regarding the definition of this characteristic value and the associated factor of safety. Furthermore, it is found that designing the mooring system to an environmental condition with a return period of 10,000 yr (as an Abnormal Limit State event), and setting the factor of safety to unity, meets the target reliability of 10⁻⁴/annum for the pile, if the characteristic undrained shear strength is a lower bound, defined in this paper by the 10th percentile value. For the chain however, this target reliability is not achieved.  相似文献   

贵州省沿河县耕地土壤元素地球化学特征及其特色耕地利用建议          下载免费PDF全文

石睿  张锡贵 《贵州地质》2020,37(3):266-272

针对现有烟包上包机存在的占地面积过大，易发生掉包以及移动困难等问题，设计了一种基于可编程逻辑控制器（PLC)控制的新型烟包上包机。该设备采用提升链条为输送装置，可以对烟包进行垂直运输，从而减小占地面积；以托盘作为烟包输送的载体，可以使烟包在上包过程中放置平稳，减小掉包的可能性。利用SolidWorks软件完成整机机械结构的三维建模，采用PLC控制系统来控制烟包上包机的上包作业流程。与传统的烟包上包机相比，该新型烟包上包机具有占地面积小，上包作业过程运行平稳，操作简单轻便等优点，可适应多种工作场所。  相似文献   

Analysis of resistance factors for LRFD of soil nail pullout limit state using default FHWA load and resistance models     

Hui Hu 《Marine Georesources & Geotechnology》2020,38(3):332-348

Abstract

Resistance factors for load and resistance factor design (LRFD) of pullout limit state of both permanent and temporary soil nails are calibrated against a wide design space using the current Federal Highway Administration (FHWA) nail load and resistance models. The calculated resistance factors were shown to scatter broadly among design scenarios that differ in wall face batter, soil friction angle, nail ultimate bond strength, and surcharge live load. An important lesson learned from the analysis results is that the current practice of using a single resistance factor for LRFD of nail pullout limit state could not result in uniform reliabilities across different design scenarios. Simple artificial neural network (ANN) models were developed for computation of resistance factors. Design examples demonstrated the ability of the ANN models in providing resistance factors that yield satisfactory and consistent reliabilities in different nail pullout designs.  相似文献   

土壤粒径的光谱响应特性研究   总被引：1，自引：0，他引：1  

曾远文  段松江 《山东国土资源》2019,35(11)

以实验室制备的5个不同粒径水平的土壤样本和室内高光谱数据为基础,通过对光谱数据进行重采样、数学变换等预处理并进行单因素方差分析、相关性分析和回归分析,探讨土壤粒径的高光谱特性,建立了光谱数据预测土壤粒径的校正模型。结果表明,土壤粒径对反射光谱有显著的影响,波长越长影响越大;在全波段范围内土壤粒径和光谱数据都呈负相关关系,对原始光谱数据进行微分变换能增加其与土壤粒径的相关性;以反射率一阶微分建立的回归模型为反演土壤粒径的最佳模型,其建模决定系数■、预测决定系数■、预测相对偏差RPD分别为0.666,0.653,2.043,预测均方根误差RMSE为0.175。  相似文献   

贵州省沿河县耕地土壤酸化现状及改良对策   总被引：1，自引：0，他引：1       下载免费PDF全文

夏瑞  谢东明  张与伦 《贵州地质》2020,37(3):409-415

土壤酸化是耕地退化的一种表现形式，在酸性、强酸性土壤中，多数农作物的生长会受到影响，会明显降低作物的生产能力。本文通过对比沿河县1980—1981年第二次土壤普查和2017—2019年耕地质量地球化学调查评价成果数据，分析全县土壤酸化现状和规律。结果表明，全县耕地土壤pH值分布于399880之间，平均为610。与1980—1981年第二次土壤普查时期相比，全县主要耕地土壤类型pH平均值均有下降，其中黄壤pH值降幅为591%；石灰土降幅为759%，从中性下降为酸性；紫色土降幅为2209%，从碱性降为酸性；全县主要土地利用类型土壤酸化范围变大，主要从中性转化为酸性，酸性转化为强酸性，耕地土壤酸化程度加深，水田酸化程度高于旱地。建议通过推进测土配方施肥工作合理调整化肥施用比例，大力提高耕地土壤有机质含量，积极推广使用石灰、白云石、粉煤灰、碱渣、生物质碳等生物改良剂，因地制宜建立土壤改良示范点等多项对策来缓解和治理耕地土壤酸化。  相似文献   

基于SMAP卫星雷达资料的海冰密集度反演技术研究   总被引：1，自引：0，他引：1  

闻斌  周旋  种劲松  石立坚  叶小敏 《海洋学报》2018,40(6):29-39

SMAP是美国于2015年初发射的一颗卫星，搭载了L波段的雷达。它采用圆锥扫描方式，具有固定的入射角、较大的幅宽和千米级的分辨率，在海冰监测方面具有独特的优势。本文利用SMAP卫星雷达资料分别与德国Bremen大学海冰密集度产品和美国国家冰雪数据中心（NSIDC）海冰密集度产品建立3.125 km和25 km匹配数据集，分析了L波段雷达后向散射系数、极化比和归一化极化差与海冰密集度之间相关性，建立基于人工神经网络的海冰密集度反演算法。为了验证SMAP卫星雷达资料反演海冰密集度的精度，本文选择德国Bremen大学和美国冰雪数据中心发布的海冰密集度产品分别与SMAP海冰密集度产品进行对比分析，SMAP海冰密集度与Bremen海冰密集度的偏差为0.07、均方根误差为0.14；与NSIDC海冰密集度的偏差为0.04、均方根误差为0.18，这表明SMAP海冰密集度产品与现有业务化海冰密集度产品具有很好的一致性。  相似文献   

河南新郑—太康断裂东段土壤气体地球化学特征   总被引：2，自引：0，他引：2  

李源  马兴全  夏修军  谢恒义  王志铄  赵显刚 《地震》2018,38(3):49-57

土壤气浓度测量能够揭示断裂位置和活动特征。 由于河南新郑—太康断裂北西向隐伏断裂带空间定位精度有待提高, 以及2016年5月该区出现地下逸出气异常的宏观现象, 在太康县西近垂直于断裂走向布设了一条长约13 km的NE—NNE走向的地球化学观测剖面, 用于分析隐伏断层浅层位置及其与地下逸出气宏观异常的关系。 观测结果表明: 该剖面的异常段与该区浅层地震勘探显示的断裂带地表出露位置相吻合, 其中Rn体积活度和H₂、 CO₂浓度异常揭示出南段有4条断层, 北段有2条断层, 且均具有高角度特征, 南段的CO₂浓度异常区与地下逸出气宏观异常位置相符, 但代表构造特征的Rn体积活度和H₂浓度没有出现异常, 认为与构造关系不密切。  相似文献   

A comparative study of soil erosion modelling by MMF,USLE and RUSLE   总被引：1，自引：0，他引：1  

Arun Mondal  Deepak Khare  Sananda Kundu 《国际地球制图》2018,33(1):89-103

The quantitative assessment of spatial soil erosion is valuable information to control the erosion. The study area in a part of Narmada river in central India is selected. The main objective is to assess and compare the results obtained from three soil erosion models using GIS platform. Variation in the rate of erosion of the three models is compared considering varying slope, soil and land use of the area. Three models selected are Morgan–Morgan–Finney (MMF), Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE). The best fit or the most reliable model for the study area is selected after validation with the observed sedimentation data. The results give –39.45%, –9.60% and 4.80% difference in the values of sedimentation by MMF, USLE and RUSLE, respectively, from the observed data. Finally, RUSLE model has been found to be most reliable for the study area.  相似文献   

Assessing soil salinity using WorldView-2 multispectral images in Timpaki,Crete, Greece   总被引：2，自引：0，他引：2  

D. D. Alexakis  I. N. Daliakopoulos  I. S. Panagea  I. K. Tsanis 《国际地球制图》2018,33(4):321-338

Salinization is one of the major soil degradation threats occurring worldwide. This study evaluates the feasibility of operational surface soil salinity mapping based on state-of-the-art Earth Observation (EO) products captured by sensors on-board WorldView-2 (WV2) and Landsat 8 satellites. The proposed methods are tested in Timpaki, south-central Crete,Greece, where brackish water irrigation puts soil health at risk of soil salinization. In all cases, EO products are calibrated against soil samples collected from bare soil locations. Results indicate a moderate correlation of observed EC_e values with the investigated remote sensing parameters. Regarding sensitivity to saline soil, the yellow band displays higher values. Comparison between methods used in the literature shows that those developed specifically for soil salinity, and especially index S5, perform better. The proposed ‘detection index’ and 3D PCA transformation methodology perform reasonably well in detecting areas with high EC_e values and provide a simple and effective operational alternative for saline topsoil detection and mapping.  相似文献