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   

生物土壤结皮对风沙土和黄绵土膨胀特性的影响     

王国鹏  肖波  李胜龙  姚小萌  孙福海 《中国沙漠》2020,40(1):97-104

作为重要的土壤物理性质，膨胀性在影响土壤导水性、持水性、抗蚀性以及土壤结构的形成和发育等方面发挥着重要作用。为了探讨生物土壤结皮（BSCs）土壤的膨胀特性及其主要影响因素，针对黄土高原风沙土和黄绵土两种典型土壤，利用膨胀仪测定并比较了有、无藓结皮及其在不同因素（初始含水量、干湿循环、冻融循环、温度）下膨胀率的差异，分析了BSCs对土壤膨胀性的影响及其与环境因素和BSCs性质的关系。结果显示：风沙土上藓结皮的膨胀率为1.93%，较无结皮增加了8.65倍；而黄绵土上藓结皮的膨胀率为2.05%，与无结皮相比降低了76.68%。藓结皮的生物量和厚度与其膨胀率在风沙土上均呈线性正相关关系（P < 0.05），在黄绵土上分别呈二次函数（P=0.02）和线性正相关关系（P=0.02）。初始含水量同时影响了土壤最大膨胀率和稳定膨胀时间，影响程度风沙土远大于黄绵土（包括藓结皮和无结皮）；干湿循环次数对无结皮土壤膨胀率的影响程度大于藓结皮土壤，其中风沙土和黄绵土上无结皮的膨胀率分别是50.00%~620.00%和-2.28%~10.81%，而两种土壤上藓结皮的膨胀率分别是-5.70%~10.88%和-10.24%~-21.46%；冻融循环下4种土壤的膨胀率均有不同程度的降低，降幅为0~18.54%。黄绵土无结皮的膨胀率受温度影响程度较大，50℃下黄绵土无结皮的膨胀率分别是25℃和35℃下的1.17倍和1.21倍。BSCs显著地改变了风沙土和黄绵土表层的膨胀性，其影响的程度和方向取决于土壤类型。同时，BSCs的膨胀性受含水量、温度、干湿以及冻融循环等关键因素影响。  相似文献   

地方政府土地出让干预对区域工业碳排放影响的对比分析——以中国8大经济区为例     

王博  吴天航  冯淑怡 《地理科学进展》2020,39(9):1436-1446

探讨不同区域地方政府干预对碳排放的影响差异,对于中国推进碳减排战略、协调区域经济社会发展具有重要意义。鉴于此,论文基于地方政府土地出让的视阈,以中国8大经济区为研究对象,有机耦合STIRPAT模型与CKC模型,构建形成STIRPAT拓展模型,并使用2007—2016年中国28个省(市、自治区)的工业面板数据,对比考察8大经济区政府土地出让干预对区域碳排放的影响差异。结果表明:不同经济区的地方政府土地出让干预对区域碳排放的影响存在显著差异。其中,同为CKC“倒N”型的北部沿海、南部沿海、长江中游经济区,其政府土地出让干预对区域碳排放的影响呈现出北部沿海经济区为负、南部沿海经济区为正、长江中游经济区无显著影响的差异效果;同为CKC“倒U”型的东北、西南和西北经济区,其政府土地出让干预对区域碳排放的影响,东北和西南经济区都显著为负,西北经济区未表现出显著影响;同为CKC“U”型的东部沿海和黄河中游经济区,其政府土地出让干预对碳排放也呈现出前者为负、后者为正的相反影响。研究结果可为制定碳减排差别化政策、协调区域可持续发展提供参考。  相似文献   

柴达木盆地盐湖区土壤黑碳分布及土气交换特性          下载免费PDF全文

武君  闵秀云  高春亮  李雷明 《盐湖研究》2020,28(1):1-10

深入探讨了柴达木盆地盐湖区土壤黑碳分布及土气交换特征。研究结果显示,研究区土壤总黑碳含量范围为0.50～6.79 g/kg,平均值达到1.64 g/kg;土壤烟炱组分黑碳含量范围为0.50～4.75 g/kg,平均值达到1.144 g/kg;气溶胶黑碳含量范围为0.34～4.92μg/m~3,平均值达到0.98μg/m~3。柴达木盆地盐湖区盐湖资源的大量开采和工业化生产等可能造成该地区黑碳大量排放。盐湖区土壤黑碳稳定碳同位素值(δ~(13)C_(BC))在-25.33‰～-23.46‰之间变化,平均值为-24.21‰,表明该地区土壤黑碳来源可能受C_3植物和化石燃料来源的共同影响。首次运用逃逸系数探讨了柴达木盆地盐湖区黑碳土气交换行为,结果表明研究区黑碳土气交换行为确实存在,但存在一定程度的模拟不确定性。  相似文献   

空间分析与生物地球化学循环:西藏林周县大骨节病患病村与非患病村的比较研究     

田原  查欣洁  高星  戴尔阜  余成群 《资源与生态学报(英文版)》2020,11(2):232-246

西藏林周县是我国大骨节病(KBD)患病较为严重的地区之一,本文将林周县作为研究区,通过使用地理探测器(GeoDetector)量化分析KBD患病率风险因子的影响,并使用环境化学方法验证空间分析结果。通过对10个潜在影响因子的分析以及对当地KBD患病村和非患病村的土壤-水-粮食-人这一生物地球化学循环的环境化学分析,结果表明:(1)林周县KBD由一组多重且交互作用的环境影响因子共同作用影响,其中最重要的控制因子是地层因子;(2)所有环境介质(土壤、水、谷物)及人体组织中的硒元素浓度在KBD患病区均低于非患病区;(3)当地居民对硒和铬的摄入严重不足,尤其是KBD患病村中居民硒元素平均日摄入量(ADD)大约仅为世界卫生组织(WHO)建议的成人基本摄入量下限的4%;(4)我们推测,当地居民患病主要是由于地层这一影响因子,这是由于通过生态系统的迁移转化导致当地人口严重硒缺乏,最终导致地方性生物地球化学硒缺乏。  相似文献   

基于国家海洋治理和全球气候变化的我国海洋灾害防治          下载免费PDF全文

齐庆华 《海洋开发与管理》2019,36(2):17-23

为建立和完善现代化的海洋灾害防治体系,提高我国海洋治理和应对全球气候变化的能力,文章以全球治理和国家治理为背景,在明确致灾因子、承灾体、灾害以及灾害风险和管理等基本概念及其内涵的基础上,分析全球气候变化背景下我国海洋灾害及其风险的特征以及海洋灾害防治的关键性和基础性科学问题,并提出我国构建海洋灾害防治体系的建议。研究结果表明:在全球气候变化的影响下,我国沿海地区的海洋灾害风险复杂多变且有所提升;提出以群-环-域为主体的体系架构,研究全球气候变化与区域海洋的响应和反馈、全球气候变化背景下海洋灾害与风险的特征和规律以及综合海洋灾害风险评估和海洋灾害防治等问题;在我国构建海洋灾害防治体系的过程中,应加强科学研究以及技术和信息支撑、促进区域和全球联动联防以及提高全社会对海洋灾害的认知和防范水平。  相似文献   

长河坝—黄金坪水库区域地震台网监测能力分析     

杜瑶  吴彤  冯薪  丁勇  赵昱  郑昭  王宇玺  王余伟 《地震地磁观测与研究》2020,41(5):25-32

位于四川省甘孜藏族自治州康定市内大渡河干流的长河坝-黄金坪水电站，为大渡河流域开发中，以长河坝、大岗山、瀑布沟等形成主要梯级格局开发方案中，"三库22级"水电站中的第10和11级电站，其地震监测台网也采用梯级设计方式，长河坝-黄金坪上下游水库地震监测台网统一设计、建设及监测，共享同一地震监测能力。通过对监测设备的技术指标、台基地噪声水平和震级-频度对数关系的分析，结果表明，长河坝-黄金坪水库区域地震固定台站建成后，地震监测能力达到并优于设计的理论监测能力，地震监测震级达到下限为M_L 0.5的设计要求。  相似文献   

A review of fully coupled atmosphere-hydrology simulations     

Ning  Like  Zhan  Chesheng  Luo  Yong  Wang  Yueling  Liu  Liangmeizi 《地理学报(英文版)》2019,29(3):465-479

Journal of Geographical Sciences - The terrestrial hydrological process is an essential but weak link in global/regional climate models. In this paper, the development status, research hotspots and...  相似文献   

Surficial fractures in the Navajo sandstone,south-western USA: the roles of thermal cycles,rainstorms, granular disintegration,and iterative cracking     

David B. Loope  Garrison R. Loope  Caroline M. Burberry  Clinton M. Rowe  Gerald C. Bryant 《地球表面变化过程与地形》2020,45(9):2063-2077

Deep (> 5 m) sheeting fractures in the Navajo sandstone are evident at numerous sites in southern Utah and derive from tectonic stresses. Strong diurnal thermal cycles are, however, the likely triggers for shallow (< 0.3 m) sheeting fractures. Data from subsurface thermal sensors reveal that large temperature differences between sensors at 2 and 15 cm depth on clear summer afternoons are as great as those that trigger sheeting fractures in exposed California granite. Extensive polygonal patterns in the Navajo sandstone are composed of surface-perpendicular fractures and were produced by contractile stresses. Numerous studies have shown that porewater diminishes the tensile strength of sandstone. Based on our thermal records, we propose that cooling during monsoonal rainstorms triggers polygonal fracturing of temporarily weakened rock. On steep outcrops, polygonal patterns are rectilinear and orthogonal, with T-vertices. Lower-angle slopes host hexagonal patterns (defined by the dominance of Y-vertices). Intermediate patterns with rectangles and hexagons of similar scale are common. We posit that outcropping fractures are advancing downward by iterative steps, and that hexagons on sandstone surfaces (like prismatic columns of basalt) have evolved from ancestral orthogonal polygons of similar scale. In lava flows, fractures elongate intermittently as they follow a steep thermal gradient (the source of stress) as it rapidly moves through the rock mass. In our model, a steep, surficial thermal gradient descends through unfractured sandstone, but at the slow pace of granular disintegration. Through time, as the friable rock on stable slopes erodes, iterative cracking advances into new space. Hexagonal patterns form as new fractures, imperfectly guided by the older ones, propagate in new directions, and vertices drift into a configuration that minimizes the ratio of fracture length to polygon area. © 2020 John Wiley & Sons, Ltd.  相似文献   

Relationship Between Electrical Properties and Sedimentary Environment of the Longmaxi Formation Shale, Southern Sichuan     

YANG Kai  ZHANG Bing  WANG Xuben  HE Lanfang  YANG Hongyu  WANG Pengwan  TANG Jialin  DENG Jixin  ZHANG Cong 《《地质学报》英文版》2020,94(5):1531-1546

The Lower Silurian Longmaxi Formation in the south of Sichuan is a key player in the exploration and development of shale gas in China. Due to a highly complex topographic area, electromagnetic methods (EM) become important exploration means in this area. Many studies have been conducted on the shale mineral composition and electrical properties of shale, however, the correlation between sedimentary environments and the electrical properties of shale remain poorly understood. The electrical properties and sedimentary environment of the organic-rich shale of the Longmaxi Formation have been studied by means of X-ray diffraction, organic geochemistry, scanning electron microscopy and complex resistivity measurements. The discovered high quartz content of the Longmaxi Formation shale results in low resistivity. Deep-water shelf biogenic quartz contributes lower resistivity more than that of shallow-water terrigenous quartz. The deep-water anoxic and organic sedimentary environment led to major enrichment of pyrite, leading to a high polarization effect in shale. We present the correlation between the lithofacies types and electrical properties of Longmaxi Formation. The mixed siliceous shale lithofacies is the most favorable among the three lithofacies, which is characterized by high total organic carbon (TOC) content, high brittleness mineral content, high polarization and low resistivity (“three high and one low”). This feature is an effective identification of shale gas reservoirs by electromagnetic prospecting. Our study can provide constraints on electrical parameters of rocks for electromagnetic “sweet spot” exploration of shale gas, and so this has important geological significance to shale gas exploration and development.  相似文献