软土地基中基坑渗透破坏机理和对策   总被引：1，自引：1，他引：0  

孙瑞瑞 《上海国土资源》2010,31(Z1)

软土地基中基坑渗流诱发的土体破坏是引起基坑工程事故的一个重要因素。针对基坑工程渗流问题的特殊性,探讨了基坑渗透破坏的机理。结合基坑工程典型工况,阐述了进行渗流控制研究的重要意义,讨论了渗流控制的关键问题,对于深基坑的工程施工具有重要的指导意义。  相似文献   

浙北平原区土壤硒地球化学研究   总被引：1，自引：1，他引：0  

胡艳华  王加恩  颜铁增  蔡子华  宋明义  康占军 《上海国土资源》2010,31(Z1)

基于嘉善县基本农田质量调查和嘉善县富硒土地资源专项调查中高密度的土壤硒数据及其它测试指标,对浙北嘉善表层土壤硒的含量、分布及影响因素进行了初步研究。分析结果显示,嘉善土壤总量硒平均值为0.33mg/kg,在干窑——姚庄一带存在约57km~2的富硒土壤(Se≥0.40mg/kg);不同土属硒含量差别不大;硒在土壤剖面中分布的总体趋势是硒在表土层聚集;嘉善富硒土壤以有机结合态和腐植酸态两种形态为主,残渣态也占有一定比例。结合全量硒与有机碳的相关性分析和富硒土壤的硒形态分析等结果,本研究认为高硒背景与有机质吸附对嘉善富硒土壤的形成起到了关键作用,改变了嘉善缺硒的认识。  相似文献   

东营市沿海地区农业地质特征   总被引：1，自引：1，他引：0  

代东峰  徐金欣  姜同海  许静  王德水 《上海国土资源》2010,31(Z1)

通过对东营市沿海地区农业地质的调查研究,该区土壤贫N、P、Mo、有机质,富K,富微量元素Cu、Zn、Fe、Mn、B等,土壤除盐化程度高外,未受到其它元素的污染,仍保持良好的自然环境。初步将土壤分为四个土壤类型:潮土、盐化潮土、滨海盐土、滨海潮滩盐土,土体构型以均质砂壤型分布面积最广。  相似文献   

Semisupervised heterogeneous ensemble for ship target discrimination in synthetic aperture radar images     

Yongxu Li  Xudong Lai  Mingwei Wang 《海洋学报(英文版)》2022,41(7):180-192

Ship detection using synthetic aperture radar (SAR) plays an important role in marine applications. The existing methods are capable of quickly obtaining many candidate targets, but numerous non-ship objects may be wrongly detected in complex backgrounds. These non-ship false alarms can be excluded by training discriminators, and the desired accuracy is obtained with enough verified samples. However, the reliable verification of targets in large-scene SAR images still inevitably requires manual interpretation, which is difficult and time consuming. To address this issue, a semisupervised heterogeneous ensemble ship target discrimination method based on a tri-training scheme is proposed to take advantage of the plentiful candidate targets. Specifically, various features commonly used in SAR image target discrimination are extracted, and several acknowledged classification models and their classic variants are investigated. Multiple discriminators are constructed by dividing these features into different groups and pairing them with each model. Then, the performance of all the discriminators is tested, and better discriminators are selected for implementing the semisupervised training process. These strategies enhance the diversity and reliability of the discriminators, and their heterogeneous ensemble makes more correct judgments on candidate targets, which facilitates further positive training. Experimental results demonstrate that the proposed method outperforms traditional tri-training.  相似文献   

DMSP-OLS与NPP-VIIRS夜间灯光遥感影像数据整合     

何立恒  吕萌  朱婷茹 《测绘通报》2023,(1):31-38

DMSP-OLS夜间灯光遥感数据截至2013年,现已被NPP-VIIRS夜间灯光数据取代。因此,要获得长时间序列且稳定的夜间灯光数据集,需要整合两类夜间灯光数据。基于此,本文提出了基于重采样的两类数据整合方法,对2013—2020年NPP-VIIRS数据进行模拟,最终建立了1992—2020年长时间序列校正—模拟DMSP-OLS夜光遥感数据集。结果表明,基于重采样的整合方法效果良好(城市区域Pearson相关系数ρ=0.9852,RMSE=3.4607),整合数据集与相关社会经济参考量高度契合(影像DN值总和与GDP的相关系数ρ=0.946,与人口的相关系数ρ=0.971,二次多项式模型拟合R²≈0.98,RMSE<5.55),优于已有研究。因此,利用该方法整合后的数据集能更好地支撑基于夜间灯光影像的长时间序列研究。  相似文献   

阿拉善地区土壤盐渍化的遥感反演及分布特征     

赵欣悦  席海洋  赵静  马克华  程文举  陈雨晴 《中国沙漠》2023,43(1):27-36

土壤盐渍化是威胁干旱区土地的重要环境问题。利用遥感技术对土壤盐渍化进行动态监测,分析土壤盐度水平与空间分布,有利于掌握土壤盐渍化现状,为土地资源可持续利用提供理论依据。现有研究多在田间尺度,随着土壤环境问题涉及的范围越来越大,区域斑块信息的提取已无法满足宏观地模拟和展示整体土壤环境的空间分布。以阿拉善地区为例,结合遥感光谱指数与实测土壤盐分数据,运用偏最小二乘回归（PLSR）方法,构建区域尺度范围的土壤盐渍化反演模型,实现大面积地区土壤盐度的精准模拟和定量监测。结果表明,构建的模型验证精度达到0.8788,达到极显著水平,预测结果与实际情况相符,可以较准确地模拟研究区土壤盐渍化状况。受地形、气候、景观类型、农业活动以及土地管理等因素的综合影响,阿拉善地区约20%的区域土壤呈现出不同程度的盐渍化,其中黑河下游河岸带、雅布赖山西侧及贺兰山西侧冲积扇土壤盐渍化程度最为严重。本研究可为大面积区域土壤盐分状况的快速监测及遥感定量反演提供可行的方法,同时为该区域不同程度盐渍化土壤的治理和土地利用管理提供依据。  相似文献   

Spatiotemporal variations of water use efficiency and its driving factors in Inner Mongolia from 2001 to 2020     

MEI Li  TONG Siqin  YIN Shan  BAO Yuhai  HUANG Xiaojun  ALATENG Tuya  WANG Yongfang  GUO Enliang  YUAN Zhihui  NASHUN Dalai  GAO Suriguga  LIU Xinyi  YE Zhigang 《地理学报(英文版)》2023,33(1):169-194

Water use efficiency (WUE) is an important variable to explore coupled relationships in carbon and water cycles. In this study, we first compared the spatial variations of annual gross primary productivity (GPP) and evapotranspiration (ET) using four GPP and ET products. Second, we selected the products closest to the flux towers data to estimate WUE. Finally, we quantitatively analyzed the impact of climate change and soil water content on WUE. The results showed that: (1) Four GPP and ET products provided good performance, with GOSIF-GPP and FLDAS-ET exhibiting a higher correlation and the smallest errors with the flux tower data. (2) The spatial pattern of WUE is consistent with that of GPP and ET, gradually decreasing from the northeast to the southwest. Higher WUE values appeared in the northeast forest ecosystem, and lower WUE values occurred in the western Gobi Desert, with a value of 0.28 gC m^?2 mm^?1. The GPP and ET products showed an increasing trend, while WUE showed a decreasing trend (55.15%) from 2001 to 2020. (3) The spatial relationship between WUE and driving factors reveal the variations in WUE of Inner Mongolia are mainly affected by soil moisture between 0 and 10 cm (SM0-10cm), vapor pressure deficit (VPD), and precipitation, respectively. (4) In arid regions, VPD and precipitation exhibit a major influence on WUE. An increase in VPD and precipitation has a negative and positive effect on WUE, with threshold values of approximately 0.36 kPa and 426 mm, respectively. (5) In humid regions, SM0-10cm, VPD, SM10-40cm, and SM40-100cm exert a significant impact on WUE, especially SM0-10cm, and weakens with increasing soil depths, these differences may be related to physiological structure and living characteristics of vegetation types in different climate regimes. Our results emphasize the importance of VPD and soil moisture in regional variability in WUE.  相似文献   

The Influence of Plantation on Soil Carbon and Nutrients: Focusing on Tibetan Artificial Forests     

LIU Ruixuan  YAO Yuan  ZHANG Sheng 《资源与生态学报(英文版)》2023,14(1):57-66

As terrestrial ecosystem carbon (C) sinks, plantation ecosystems play essential roles in species diversity protection, resource supply and climate change. Artificial afforestation is of great important in improving the ecological condition, economic development and production in Tibet. Forests can improve soil property changes, yet the understanding of how plantations influence soil C and nutrient conditions in Tibet is still insufficient. This review combines with previous studies to explore the characteristics of soil nutrients, involving nitrogen (N) and phosphorus (P) on Tibetan poplar plantations. Generally, plantations have better abilities in improving the soil C and N cycles, and enhancing the soil stability. In this review, we further analyze the factors, including the modality of land-use, afforested period, tree species, climate factors and soil properties, which may affect the soil C and nutrients. (1) The patterns of land-use affect the accumulation of soil organic matter, thus influence the accumulation of soil C and nutrients; (2) Soil C and N increase with the years of artificial forests, while soil P is on the contrary; (3) The effects of different tree species on soil C and nutrients vary widely; (4) In terms of climate, the C sink of Tibetan plantation soil is most likely to be affected by precipitation, while the nutrient is more likely to be influenced by temperature; (5) Among soil properties, the most related factor to C is soil texture. Furthermore, our review pointed out that future research on soil ecological functions should be focused on soil microbes on Tibet plantation. At the end, we concluded three major challenges for the future research. Therefore, this review contributes to a better understand the effects of plantation on soil C and nutrients on the Tibetan Plateau.  相似文献   

随机森林算法在全球干旱评估中的应用   总被引：2，自引：0，他引：2  

方秀琴  郭晓萌  袁玲  杨露露  任立良  朱求安 《地球信息科学学报》2021,23(6):1040-1049

干旱是发生频率最高,造成社会、经济损失和生态破坏最严重、最广泛的自然灾害之一,因此对干旱进行可靠、有效的评估十分重要。本文以月平均降水、月平均温度、月最高温度、月最低温度、土壤湿度、蒸散发、NDVI、叶绿素荧光等作为解释变量,以基于SPI的干旱等级作为目标变量,采用随机森林算法,以2007—2012年的数据作为训练数据,以2013—2014年的数据作为预测数据,对全球11个气候区分别建立干旱等级评估模型。研究结论如下：SPI的时间尺度影响模型精度,在基于SPI1、SPI3、SPI6和SPI12划分的干旱等级的评估模型中,以基于SPI1的干旱等级为目标变量的模型的预测精度（60%~75%）较高,且模型能够捕捉到EM-DAT旱灾记录次数的90.91%、月份的78.47%,表明该模型对实际干旱事件具有良好的评估性能;干旱等级划分标准对模型的预测性能影响较小,可根据需求选择标准I（干旱/非干旱）或标准Ⅱ（重旱/非重旱）进行干旱评估;解释变量的相对重要性与SPI的时间尺度和气候差异等因素有关。降水对基于SPI1的干旱等级的重要性最大,随着SPI时间尺度的增加,降水的重要性逐渐减小,温度、土壤湿度、NDVI和ET的重要性逐渐增大。降水以外的其他变量在不同气候区的重要性不同。在热带气候区、亚寒带气候区和苔原气候区,温度或蒸散发的影响较大;在干燥气候区,土壤湿度的影响较大;在温带气候区,仍以降水的相对重要性最大;在湿润大陆性气候区,植被对干旱的影响较大。  相似文献   

基于深度学习的滑坡灾害易发性分析     

王毅  方志策  牛瑞卿  彭令 《地球信息科学学报》2021,23(12):2244-2260

滑坡灾害成因机理复杂、影响因素众多,深度学习作为当前人工智能领域的热点,能够更好地模拟滑坡灾害的形成并准确预测潜在的斜坡。为了挖掘深度学习在滑坡易发性的应用潜能,本文构建了一维、二维和三维的滑坡数据表达形式,并提出3种基于卷积神经网络模型（Convolutional Neural Networks, CNN）的滑坡易发性分析处理框架：基于CNN分类器、基于CNN与逻辑回归的融合和基于CNN集成,最后以江西省铅山县为研究对象进行验证,结果表明：所有基于CNN的易发性模型都能够获得准确且可靠的滑坡易发性分析结果。其中,基于二维数据的CNN模型在所有单分类器中预测精度最高,为78.95%。此外,二维CNN特征提取能够显著提升逻辑回归的预测精度,其准确率提升7.9%。最后,异质集成策略能够大幅度提升基于CNN分类器的滑坡预测精度,其准确率提升4.35%~8.78%。  相似文献