The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil     

《International Journal of Applied Earth Observation and Geoinformation》2020

On 25th January 2019, the tailings dam of the Brumadinho iron mine operated by Vale S/A failed catastrophically. The death toll stood at 259 and 11 people remained missing as of January 2020. This tragedy occurred three years after Mariana’s tailings dam rupture – the most significant tailing dam disaster in Brazilian history. Thus far, a systematic investigation on the cause and effect of the failure has yet to be conducted. Here, we use satellite-driven soil moisture index, multispectral high-resolution imagery and Interferometric Synthetic Aperture Radar (InSAR) products to assess pre-disaster scenarios and the direct causes of the tailings dam collapse. A decreasing trend in the moisture content at the surface and the full evanescence of pond water through time (2011–2019) suggest that the water was gradually penetrating the fill downwards and caused the seepage erosion, saturating the tailings dam. Large-scale slumping of the dam (extensional failure) upon the rupture indicates that the materials of the fill were already saturated. InSAR measurements reveal a dramatic, up to 30 cm subsidence in the dam (at the rear part) within the past 12 months before the dam collapse, signifying that the sediments had been removed from the fill. Although the information on the resistance level of the tailings dam to infiltrations is not available, these pieces of evidence collectively indicate that the seepage erosion (piping) is the primary cause for the chronic weakening of the structure and, hence, the internal “liquefaction” condition. Upon the collapse, the fully saturated mud tailings flowed down the gentle slope area (3.13 × 10⁶ m²), where 73 % were originally covered by tree, grass or agricultural tracts. The toxic mud eventually reached the Paraopeba River after travelling 10 km, abruptly increasing the suspended particulate matter (SPM) concentration and the toxic chemical elements in the river, immediately affecting the local livelihoods that depend on its water. The Paraopeba River is a major tributary of the San Francisco River, the second-longest river in Brazil reaching the Atlantic Ocean. We anticipate that the environmental repercussions of this toxic seepage will be felt throughout the entire basin, especially riverine communities located downstream.  相似文献   

基于时相变化的晴空条件下Himawari-8 AHI火点检测     

鄢俊洁  瞿建华  冉茂农  张芳芳 《遥感学报》2020,24(5):571-577

Himawari-8静止气象卫星具有高空间分辨率、高观测频次和高时效特点,对于火点检测具有很强优势。对Himawari-8卫星的3.9μm和11.2μm两通道亮温进行了连续时相变化研究,得出两通道的亮温在时间上的变化差值稳定且规律明显。根据两通道的亮温时相特征,考虑白天可见光对3.9μm通道的影响,并结合火点产生时引起的亮温变化特征,提出了适用于晴空条件下改进的火点检测算法。在多处进行了此算法的实验,例如2018-11-27 T 16:40(UTC时)河北张家口市桥东区一化工厂附近发生的严重爆炸起火事件以及2019-02-28澳大利亚西南部发生的火灾事件,均快速有效的检测到了火点。实验表明,改进的火点检测算法能很好的进行火点检测,并能解决晨昏交界、冰雪下垫面、常规火源点、太阳耀光等火点检测的难题。  相似文献   

Sentinel-2卫星落叶松林龄信息反演   总被引：1，自引：0，他引：1  

唐少飞  田庆久  徐凯健  徐念旭  岳继博 《遥感学报》2020,24(12):1511-1524

林龄结构信息能够有效反映区域森林群落不同生长阶段的固碳能力，对于评估森林生态系统的健康状况具有重要意义。本研究以中国温带典型优势树种落叶松林为研究对象，分别选择其芽萌动期、展叶期和落叶期时段的Sentinel-2影像，采用多元线性回归（MLR）、随机森林（RF）、支持向量机回归（SVR）、前馈反向传播神经网络（BP）以及多元自适应回归样条（MARS）等5种方法依次构建落叶松林龄反演模型。通过相关性分析首先确定最佳遥感反演物候期，并在此基础上根据相关性差异筛选出5个最优特征变量用于模型反演，分别为冠层含水量（CWC），归一化水体指数（NDWI），叶面积指数（LAI），光合有效辐射吸收率（FAPAR）和植被覆盖度（FVC）。研究结果表明，展叶期为落叶松林最佳遥感反演物候期。除植被衰减指数（PSRI）以及落叶期的NDVI、RVI外，落叶松林龄与各指标之间均呈负相关关系，其中与冠层含水量（CWC）的相关性最高，pearson相关系数达到-0.74（p<0.01）。此外，不同模型反演结果表明，随机森林模型（RF）为最佳落叶松林龄估测模型，其平均决定系数R²和平均均方根误差RMSE分别为0.89和2.91 a；多元线性回归模型（MLR）的林龄估测结果最差，其平均决定系数R²和平均均方根误差RMSE仅为0.57和5.69 a，非线性模型能更好的解释林龄与建模变量之间的关系。  相似文献   

MapGIS到ArcGIS格式的数据转换方法研究——以麻阳县地质图为例     

李双莲  周丽芸  胡航 《测绘与空间地理信息》2020,(4):185-188

湖南地矿行业多采用MapGIS软件进行地质数据的管理和分析,然而,该软件在数据处理和分析方面略显不足,尤其在处理大数据时更是力不从心,且其中的67版本难以满足2000坐标系统的要求。因此,为了更加有效地使用已有的数据,并充分发挥其价值,本文以麻阳县地质图为例,通过研究MapGIS和ArcGIS软件之间的异同,总结出一套较为完整的MapGIS到ArcGIS格式的数据转换方法,使得转换前后的数据在数量、样式、属性等方面基本保持一致。  相似文献   

基于 SRP 概念模型的祁连山地区生态脆弱性评价   总被引：1，自引：0，他引：1       下载免费PDF全文

刘佳茹  赵军  沈思民  赵彦军 《干旱区地理》2020,43(6):1573-1582

基于生态敏感性-生态恢复力-生态压力度（SRP）概念模型，从地形、气候、植被和社会经济 因子选取 8 个评价指标，利用遥感和 GIS 技术，采用主成分分析方法求取权重，对祁连山地区启动 水源涵养区生态环境保护和综合治理规划研究前后近 10 a 的生态脆弱性程度进行系统、定量地评 估，旨在揭示生态脆弱性的分布特征、时空演变及动因，为区域生态保护、资源利用和可持续发展 提供参考。结果表明：（1）从研究区生态脆弱性分布来看，祁连山地区主要以轻度和重度脆弱为 主，脆弱性程度从西北向东南地区逐渐减弱，西北地区植被覆盖度小，海拔高，生态环境较为恶劣 是导致脆弱性程度较高的原因；（2）祁连山地区 3 期生态脆弱程度呈逐渐下降趋势，综合指数分别 为 3.307、3.118 和 3.103；2005 年 生 态 脆 弱 性 较 高 ，极 度 脆 弱 面 积 为 28 610 km²，2010 年 下 降 为 11 723 km²，2015 年降低为 6 174 km²，极度脆弱面积逐渐减少；（3）从祁连山地区生态脆弱性演变动 因来看，8 个指标对生态脆弱性影响均较为显著，但在不同的时间影响程度各不相同，2005—2015 年 3 期数据中对生态脆弱性影响最大的均为植被指数，降水次之，地形因子影响最小。总体来看， 近年来祁连山地区生态脆弱性程度有所降低，但仍然需要加强保护力度，促进生态环境可持续 发展。  相似文献   

陕北地区退耕还林还草工程土壤保护效应的时空特征   总被引：1，自引：1，他引：0  

刘文超  刘纪远  匡文慧 《地理学报(英文版)》2020,30(3):401-422

This paper looks at the Green for Grain Project in northern Shaanxi Province.Based on remote sensing monitoring data,this study analyzes the locations of arable land in northern Shaanxi in the years 2000,2010 and 2013 as well as spatio-temporal changes over that period,and then incorporates data on the distribution of terraced fields to improve the input parameters of a RUSLE model and simulate and generate raster data on soil erosion for northern Shaanxi at different stages with a accuracy verification.Finally,combined with the dataset of farmland change,compared and analyzed the characteristics of soil erosion change in the converted farmland to forest(grassland)and the unconverted farmland in northern Shaanxi,so as to determine the project’s impact on soil erosion over time across the region.The results show that between 2000 and 2010,the soil erosion modulus of repurposed farmland in northern Shaanxi decreased 22.7 t/ha,equivalent to 47.08%of the soil erosion modulus of repurposed farmland in 2000.In the same period,the soil erosion modulus of non-repurposed farmland fell 10.99 t/ha,equivalent to 28.6%of the soil erosion modulus of non-repurposed farmland in 2000.The soil erosion modulus for all types of land in northern Shaanxi decreased by an average of 14.51 t/ha between 2000 and 2010,equivalent to 41.87%of the soil erosion modulus for the entire region in 2000.This suggests that the Green for Grain Project effectively reduced the soil erosion modulus,thus helping to protect the soil.In particular,arable land that was turned into forest and grassland reduced erosion most noticeably and contributed most to soil conservation.Nevertheless,in the period 2010 to 2013,which was a period of consolidation of the Green for Grain Project,the soil erosion modulus and change in volume of soil erosion in northern Shaanxi were significantly lower than in the previous decade.  相似文献   

Coupling numerical simulation with remotely sensed information for the study of frozen soil dynamics     

HuiRan Gao  WanChang Zhang 《寒旱区科学》2020,12(6):404-417

The acquisition of spatial-temporal information of frozen soil is fundamental for the study of frozen soil dynamics and its feedback to climate change in cold regions. With advancement of remote sensing and better understanding of frozen soil dynamics, discrimination of freeze and thaw status of surface soil based on passive microwave remote sensing and numerical simulation of frozen soil processes under water and heat transfer principles provides valuable means for regional and global frozen soil dynamic monitoring and systematic spatial-temporal responses to global change. However, as an important data source of frozen soil processes, remotely sensed information has not yet been fully utilized in the numerical simulation of frozen soil processes. Although great progress has been made in remote sensing and frozen soil physics, yet few frozen soil research has been done on the application of remotely sensed information in association with the numerical model for frozen soil process studies. In the present study, a distributed numerical model for frozen soil dynamic studies based on coupled water-heat transferring theory in association with remotely sensed frozen soil datasets was developed. In order to reduce the uncertainty of the simulation, the remotely sensed frozen soil information was used to monitor and modify relevant parameters in the process of model simulation. The remotely sensed information and numerically simulated spatial-temporal frozen soil processes were validated by in-situ field observations in cold regions near the town of Naqu on the East-Central Tibetan Plateau. The results suggest that the overall accuracy of the algorithm for discriminating freeze and thaw status of surface soil based on passive microwave remote sensing was more than 95%. These results provided an accurate initial freeze and thaw status of surface soil for coupling and calibrating the numerical model of this study. The numerically simulated frozen soil processes demonstrated good performance of the distributed numerical model based on the coupled water-heat transferring theory. The relatively larger uncertainties of the numerical model were found in alternating periods between freezing and thawing of surface soil. The average accuracy increased by about 5% after integrating remotely sensed information on the surface soil. The simulation accuracy was significantly improved, especially in transition periods between freezing and thawing of the surface soil.  相似文献   

贵州从江-黎平地区锰矿地质特征及找矿潜力分析     

肖德长 《地质与勘探》2019,55(S1):276-282

贵州从江-黎平地区锰矿产于南华系大塘坡组第一段黑色岩系中。通过对从江-黎平地区开展地质调查工作，查明该区含锰岩系分布于朝里向斜及寨柳向斜，区内两个已知矿床八当锰矿和高增锰矿即位于朝里向斜。文章系统阐述了从江-黎平地区锰矿成矿地质背景、含锰岩系特征、锰矿床地质特征，对该区南华纪大塘坡期锰矿成因进行了探讨研究，并总结了区内锰矿成矿规律，在此基础上，结合野外地质调查成果，对该区锰矿找矿潜力进行了分析，认为朝里向斜南部具一定找矿潜力。  相似文献   

阿尔金山前下—中侏罗统页岩气成藏地质条件分析     

陈夷  杜治利  康志宏  田亚 《中国地质调查》2019,6(4):40-50

阿尔金山前侏罗系出露大套厚层的暗色泥页岩,生烃潜力优越,具备陆相页岩气形成条件,是有利的勘探接替区。通过野外地质调查、样品采集和测试分析,研究下—中侏罗统泥页岩的沉积展布、有机地球化学特征及储集性能,并探讨了该区页岩气的勘探潜力。研究表明: 富有机质泥页岩主要处于滨浅湖—半深湖相、沼泽相沉积环境中,其在平面上呈NE向展布,单层厚度和累计厚度均较大; 泥页岩的有机质类型主要为Ⅱ₁、Ⅱ₂型干酪根; TOC含量为0.55%~10%,平均为2.28%; 镜质体反射率(R_o)为1.0%~1.6%,平均为1.269%,处于成熟—高成熟阶段,为页岩气藏形成提供良好的生烃条件; 其矿物特征表现为脆性矿物含量高,大于51%,有利于后期的水力压裂改造和页岩气开采; 通过扫描电镜观察,泥页岩储层发育微孔隙及微裂缝,为页岩气提供了良好的储集空间和运移通道。初步预测,后期改造相对较弱的月牙山地区为页岩气勘探的有利目标区。  相似文献   

鲁西齐河地区铁矿控矿特征及找矿标志     

郝兴中  杨毅恒  李英平  高华丽  陈磊 《吉林大学学报(地球科学版)》2019,49(4):982-991

山东省齐河县境内发育有矽卡岩型铁矿，近年来该区铁矿勘查和研究工作取得了较大进展。本文通过对研究区内铁矿勘查研究成果进行统计分析，旨在对其控矿特征和找矿标志进行探讨来促进该区铁矿找矿工作。研究区内铁矿控矿地层为奥陶纪碳酸盐岩和石炭纪-二叠纪碎屑岩地层，成矿地质体为燕山晚期中基性侵入岩体；铁矿体主要赋存于地层和岩体的接触带处，且在碳酸盐岩、碎屑岩地层中和侵入岩体中也赋存有部分铁矿体。区内铁矿体赋存类型多样，其中以接触带赋存式为主，且含有断裂充填式、层间充填式、裂隙贯入式、捕虏体构造式等。铁矿体形态复杂，呈层状、似层状、囊状、透镜状等；矿床典型蚀变分带特征为闪长岩带-蚀变闪长岩带-内矽卡岩带-铁矿体-外矽卡岩带-大理岩化带-灰岩带。该区成矿作用以接触扩散交代作用、接触渗滤交代作用为主，此外还有富矿热液充填作用等。研究区内铁矿找矿标志主要包括地层标志（奥陶纪碳酸盐岩和石炭纪-二叠纪碎屑岩地层）、岩体标志（中基性侵入岩体，且发育有钠长石化的蚀变闪长岩）、构造标志（地层与岩体接触带、构造交汇部位、层间滑脱部位、脆性裂隙部位等）、围岩蚀变标志（磁铁矿化、矽卡岩化、钠长石化、蛇纹石化、金云母化等与成矿关系密切）、地球物理标志（明显的高值磁异常和化极磁异常部位、重力异常梯度带和高-低电阻转换带）。在今后铁矿勘查过程中，需要在综合研究该区控矿特征的基础上，可利用多种找矿标志进行相互配合、互为补充和综合研究，以期达到预期勘查效果。  相似文献