Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster

Efficient and accurate access to coastal land cover information is of great significance for marine disaster prevention and mitigation.Although the popular and common sensors of land resource satellites provide free and valuable images to map the land cover,coastal areas often encounter significant cloud cover,especially in tropical areas,which makes the classification in those areas non-ideal.To solve this problem,we proposed a framework of combining medium-resolution optical images and synthetic aperture radar(SAR)data with the recently popular object-based image analysis(OBIA)method and used the Landsat Operational Land Imager(OLI)and Phased Array type L-band Synthetic Aperture Radar(PALSAR)images acquired in Singapore in 2017 as a case study.We designed experiments to confirm two critical factors of this framework:one is the segmentation scale that determines the average object size,and the other is the classification feature.Accuracy assessments of the land cover indicated that the optimal segmentation scale was between 40 and 80,and the features of the combination of OLI and SAR resulted in higher accuracy than any individual features,especially in areas with cloud cover.Based on the land cover generated by this framework,we assessed the vulnerability of the marine disasters of Singapore in 2008 and 2017 and found that the high-vulnerability areas mainly located in the southeast and increased by 118.97 km2 over the past decade.To clarify the disaster response plan for different geographical environments,we classified risk based on altitude and distance from shore.The newly increased high-vulnerability regions within 4 km offshore and below 30 m above sea level are at high risk;these regions may need to focus on strengthening disaster prevention construction.This study serves as a typical example of using remote sensing techniques for the vulnerability assessment of marine disasters,especially those in cloudy coastal areas.

Risk prevention and control strategies for the severely affected areas of snow disaster in the Three Rivers Source Region(TRSR), China

Historically,frequent and heavy snow disaster(SD)has caused serious livestock death and casualties,resulting in a devastating impact on animal husbandry development in the Three Rivers Source Region(TRSR).From winter in 2018 to spring in 2019,the largest SD occurred in this area over the past 10 years,especially in core zones of the Lancang River Source Region.Field research results show that the main causes of the major SD include weak infrastructure(i.e.,roads,communications,warm sheds,and insufficient forage reserve),low rate of domestic animals for sale before the SD,and low loss settlement rate.SD occurrence could furtherly reduce the ability of disaster prevention,mitigation and relief of disaster loss.In the future,heavily affected SD areas should improve the forecasting ability of snowfall incidents,strengthen infrastructure construction,implement grass and livestock balance strategies,optimize livestock structure,improve loss settlement rate,and develop a modern compound model of animal husbandry development model that combines breeding,slaughtering and deep processing of animal product.

Landslide risk perception and communication for disaster risk management in mountain areas of developing countries：a Mexican foretaste

The increasing impact of disasters at local,national,regional and global scales in recent decades has provided enough evidence to urgently direct attention towards the necessity of disaster risk reduction and management,and this requires knowledge.Knowledge without communication is barren,and to communicate the risk of disaster it is necessary to understand the perception of the people at risk.In particular,this paper deals with the necessity to delineate strategies of risk communication in pursuance of risk knowledge as a core of disaster risk reduction and management,especially in mountain areas of developing countries.To portray this issue,an analysis of landslide risk perception in terms of experience,landslide risk awareness,exposure,preparedness,and risk communication and trust was undertaken in the municipality of Teziutlán,Puebla,Mexico,an area that has been affected for several decades by episodes of mass movement.Analysis of the responses to a risk perception questionnaire has offered valuable insights in terms of the information and knowledge most required by the people living in the area of interest,in order to devise a realistic and functional strategy to communicate the risk of a landslide disaster.This includes better understanding of controlling factorsand drivers of this risk,and the establishment of potential trusted sources of risk communication.Beyond considering practical matters of risk assessment and management,risk perception and communication can increase the resilience of vulnerable people,and can enhance capacity building for present and future generations.

Characteristic Analysis and Forecast of Continuous High-temperature Weather in Xingtai Area of Hebei

Through the analysis of durative high-temperature weather process occurred in Xingtai area in June of 2010,and the statistics on relative humidity and 850 hPa of temperature on high temperature day in Xingtai area during 2001- 2010,it was concluded that 500 h Pa of stable warm high-pressure ridge situation and 850 hPa of strong warm air mass control were favorable circulation situations for the formation of high temperature;sinking and adiabatic warming of high-altitude air mass was an important cause of high temperature weather generation; ground humidity at 14： 00 was small,that is,the atmosphere was very dry,and it was sunny-cloudy（ high cirrus） weather,which was a necessary condition for the high temperature weather; westerly at some time was favorable condition for high temperature; 850 h Pa of temperature prediction at the station was the key.When the forecasted 850 h Pa of station temperature was 21 ℃ and above,it was reminded the forecasters in the high-temperature forecast process.

Risk Regionalization of Low-temperature Disasters for Flue-cured Tobacco Planting in Qujing Area Based on GIS

There is a prominent,complex and diverse three-dimensional climate and a variety of meteorological disasters in Qujing area. The risk zoning of low-temperature disasters for flue-cured tobacco planting in Qujing area was studied to provide reference for drawing on advantages and avoiding disadvantages in flue-cured tobacco planting,disaster reduction,and disaster relief services. According to the production practice of fluecured tobacco and local climate analysis,it was determined that flue-cured tobacco in Qujing area was very vulnerable to low temperature during the seedling stage（ from early February to middle April） and in the mature period（ from early July to early September）. Based on the quantitative analysis and evaluation of risk of disaster-causing factors,sensitivity of disaster-breeding environment,vulnerability of carriers,and disaster prevention and reduction capability,a risk assessment model of meteorological disasters was established to precisely evaluate and zone the risk of low-temperature disasters for flue-cured tobacco planting in allusion to the seedling and mature stage in Qujing area by using GIS technology. The risk of lowtemperature disasters for flue-cured tobacco planting during the two periods was divided into four grades,namely low,medium,high and very high risk.

Disaster Reduction Decision Support System Against Debris Flows and Landslides Along Highway in Mountainous Area

Highways in mountainous areas are easy to be damaged by such natural disasters as debris flows and landslides and disaster reduction decision support system (DRDSS) is one of the important means to mitigate these disasters. Guided by the theories and technologies of debris flow and landslide reduction and supported by geographical information system (GIS), remote sensing and database techniques, a DRDSS against debris flow and landslide along highways in mountainous areas has been established on the basis of such principles as pertinence, systematicness, effectiveness, easy to use, open and expandability. The system consists of database, disaster analysis models and decisions on reduction of debris flows and landslides, mainly functioning to zone disaster dangerous degree, analyze debris flow activity, simulate debris flow deposition and diffusion, analyze landslide stability, select optimal highway renovation scheme and plan disaster prevention and control engineering. This system has been applied successfully to the debris flow and landslide treatment works along Palongzangbu Section of Sichuan-Tibet Highway.

IoT-Enabled Autonomous System Collaboration for Disaster-Area Management

Timely investigating post-disaster situations to locate survivors and secure hazardous sources is critical,but also very challenging and risky.Despite first responders putting their lives at risk in saving others,human-physical limits cause delays in response time,resulting in fatality and property damage.In this paper,we proposed and implemented a framework intended for creating collaboration between heterogeneous unmanned vehicles and first responders to make search and rescue operations safer and faster.The framework consists of unmanned aerial vehicles(UAVs),unmanned ground vehicles(UGVs),a cloud-based remote control station(RCS).A light-weight message queuing telemetry transport(MQTT)based communication is adopted for facilitating collaboration between autonomous systems.To effectively work under unfavorable disaster conditions,antenna tracker is developed as a tool to extend network coverage to distant areas,and mobile charging points for the UAVs are also implemented.The proposed framework’s performance is evaluated in terms of end-to-end delay and analyzed using architectural analysis and design language(AADL).Experimental measurements and simulation results show that the adopted communication protocol performs more efficiently than other conventional communication protocols,and the implemented UAV control mechanisms are functioning properly.Several scenarios are implemented to validate the overall effectiveness of the proposed framework and demonstrate possible use cases.

Maternal Anxiety 16 Months after the Great East Japan Earthquake Disaster Area: First Report

The Great East Japan Earthquake, a magnitude 9.0 quake that occurred on March 11, 2011, left more than 20,000 killed or missing and resulted in more than 400,000 people being displaced. The Fukushima Nuclear Power Plant accident released large amounts of radioactive material into the air. Among the victims of this combined disaster were many pregnant and parturient women, and this study aimed to determine post-disaster anxiety among this specific population and measures for the future. Participants were 259 women (mean age 33.02 ± 4.79 years) who gave birth around the time of the earthquake in Miyagi Prefecture, one of the disaster areas. Sixteen months after the earthquake, we administered survey questionnaires on anxiety. We transcribed questionnaire responses, coded raw data by context, and categorized these codes by commonality. After extracting subcategories of anxiety-related factors, we categorized them into more abstract concepts. Among the participants, 126 (48.6%) reported having no available professionals with whom they could consult about childrearing. Participants reported anxiety in the following 12 categories: “radiation,” “child’s physical and mental growth/development,” “recurrence of earthquake and tsunami,” “financial issues,” “childrearing environment,” “living environment,” “maternal employment,” “stigma,” “familial issues,” “maternal health,” “childrearing,” and “the future”. A beneficial way to reduce maternal anxiety in the 12 areas identified would be to develop support systems that provide continuous support for children’s mental health care needs, psychological guidance, community support for maternal empowerment, outreach for individual support, and professional consultation for mothers who have high anxiety about radioactivity.

Analysis of Lightning Disaster in Shaoyang City and Research on Its Defense Countermeasures

The climate impact assessment and monthly and annual reports of surface meteorological observation of cities and counties were reviewed,and there were no records of lightning disasters in Shaoyang from 1978 to 2000.Since 2001,there have been few records of lightning disasters,with only about 10 times in various regions.In this paper,a total of 143 investigation reports on lightning accidents since 2002 were collected,and statistical analysis was conducted based on the loss,location of occurrence,damaged industries,and social impact.In particular,the temporal and spatial distribution characteristics of lightning in Shaoyang area have been clearly understood,and the main characteristics and laws of lightning accidents in Shaoyang area were revealed.The results showed that the most lightning accidents occurred in June,and no lightning accidents occurred in December.Dongkou,Longhui,and Shaoyang urban areas were the lightning prone areas,and the impact of lightning on agriculture was the largest,followed by commerce.The prevention countermeasures of lightning disasters were proposed to provide reference for disaster prevention and reduction.

小尺度山区地质灾害隐患的无人机精细化识别方法与实践

本文针对小空间尺度范围内以滑坡、崩塌为主的山区地质灾害,提出了一套基于小型无人机摄影测量的精细化隐患识别方法。首先,针对工作区开展至少两期无人机摄影测量作业,经处理后得到实景三维模型、数字正射影像(DOM)、数字表面模型(DSM)等精细化成果;其次,以两期DOM与DSM变化检测为主实现灾害体识别;然后,基于灾害体共性特征建立典型识别标志,并依此采用三维实景目视解译为主方法实现孕灾体识别;最后,通过地面核查确认或排除隐患。将该套方法应用到三峡库首秭归泄滩河左岸顺向斜坡区域,共识别出10处不同类型隐患,证明了方法的可行性。

我国沿海地区城市洪(潮)涝成因及应对策略——以深圳市为例

沿海地区受地理位置、全球气候变化和城市化快速发展等影响,城市洪(潮)涝灾害频发,已成为影响我国沿海地区城市公共安全的突出问题,严重制约经济社会可持续健康发展。根据城市水文循环过程,综合考虑致灾因子、孕灾环境和承灾体等,将沿海地区城市洪(潮)涝成因概括为“先天不足—后天变化”两个方面,并以深圳市为例进行了深入分析。在此基础上,从提高防洪(潮)和排涝能力,协调防洪、除涝、排水标准,科学规划城市发展,充分考虑地下空间竖向设计,全面加强流域统一管理5个方面提出沿海地区城市洪(潮)涝应对策略,为沿海地区城市防洪(潮)、除涝工程体系建设和城市洪(潮)涝风险管理提供支撑。

采空塌陷区隧道病害机理与防控研究现状与展望

我国是煤炭生产大国,煤炭开采造成了大量采空塌陷。随着公路铁路网不断加密,在山西等采煤大省,越来越多的交通隧道不得不穿越煤矿采空塌陷区。采空塌陷区岩层破坏剧烈、变形量大且持续时间长,是隧道工程建设与运营的重大安全隐患,系统研究采空塌陷区隧道灾变机理与防控技术是隧道工程建设与运营安全的重要保障。通过分析文献报道的工程案例,总结了采空塌陷区隧道的主要病害类型及其灾变机理,回顾了塌陷区采动岩体长期变形预测方法与隧道灾变预测方法,介绍了塌陷区采动岩体变形控制方法与穿越采空区隧道围岩处治方法。在此基础上,分析了采空塌陷区隧道灾变与防控技术研究中存在的突出问题,并对亟待研究的方向进行了展望。

1300—2019年江苏沿海风暴潮灾害时空分布特征

历史上江苏沿海曾频发2类风暴潮灾害,给当地带来了巨大损失。建立该地区长时间尺度的风暴潮灾害序列对了解过去与预测未来意义重大。以历史文献、地方志、海洋灾害公报等记载的风暴潮资料为基础,建立了风暴潮灾害识别体系,重建了1300—2019年江苏沿海风暴潮灾害序列,分析了风暴潮灾害时空变化规律,探究了其与气候异常和黄河、长江入海口变迁之间的关系。结果表明:江苏沿海地区主要受台风风暴潮灾害的影响,1300—2019年间共发生246次风暴潮灾害,平均周期为2.9年,且近100年来发生频率有增大的趋势;小波分析结果显示,风暴潮灾害年际变化存在17年、61年和115年的时间尺度周期,其中115年周期最为明显。海气相互作用影响下,厄尔尼诺活跃年江苏沿海台风风暴潮灾害偏少;气温与台风风暴潮灾害频次有一定的正相关性,但其影响机制尚不明确。盐城、南通和苏州为风暴潮灾害高发地区,常州和无锡发生频率较小。在气候变暖与江苏海岸冲淤变化的作用下,1855年后盐城和南通地区风暴潮灾害发生频率增加,连云港地区明显增加;随着海岸线的变迁与长江河口的演变,镇江、扬州、泰州与苏锡常地区受风暴潮灾害影响减少。

铁路地质灾害勘察识别与监测预警

地质灾害对铁路建设、安全运营构成了极大威胁,“天空地”一体化综合勘察技术有效解决了地质灾害勘察识别难题。“天”基多源立体卫星遥感技术实现艰险复杂山区地质灾害的大范围精准判识,长时序InSAR与高精度GPS实现高陡岸坡的稳定性监测分析;“空”基真实感大场景、机载倾斜摄影和机载LiDAR扫描技术实现高植被覆盖区隐蔽性地质灾害判识;“地”基三维立体勘探技术获取岩土体结构、属性、参数;共同构建沟谷山地灾害链风险评价方案,为建设工程合理选址和工程设置提供依据。介绍地质灾害监测预警的方法、内容、技术和预警模型,对监测预警技术发展方向进行展望。

基于新型智慧城市视角的地质灾害监测——以广州市为例

新型智慧城市建设为广州地质灾害监测提供了新机遇、新思路。笔者结合近年来地灾监测的科学研究和工程实践,从感知、调度、共治的角度浅谈对于广州地灾监测的一些思考。感知方面:广州市地貌结构复杂,北部丘陵台地作为地灾易发区,建议构建重点区域天-空-地三查体系,及时识别潜在风险源。预警调度:广州市地灾的发生与降雨有很强的时间相关性和空间耦合性,建议在广州市雨窝、降雨集中区构建精细化气象预警网格,提高监测预警精准度;针对地灾监测预警存在的重监测、轻预警现象,建议构建基于数据-知识双驱动的预警模型,实现高精度可解释的地灾预测建模;针对疑难边坡,建立专家研判系统,实现精准“把脉”,精准“治疗”。共建共治:加强跨部门跨层级合作,加强新建工程项目地灾评估,消减地灾存量,控制地灾增量。

锦州市规划区地质环境安全评价研究

地质环境问题是影响城市国土空间安全开发利用的重要因素,在城市规划开发阶段开展地质环境综合评价可有效控制地质灾害风险。锦州市规划区尚处于开发前期,本文基于该规划区的地质条件和开发需求,构建了地质环境安全评价指标和评价方法体系,基于主导因素综合法开展了地质环境安全综合评价。根据评价结果,锦州市规划区地质环境安全程度可划分为3级,空间分布上以相对安全区为主,其次为次不安全区和安全区。按照空间位置和区域构造稳定性、地质灾害易发性等不同成因划分为23个亚区,并指出了每个亚区安全程度主要影响因素。该评价结果反映了锦州市规划区的地质环境安全程度,确定了影响地质环境安全问题的关键因素,有助于规避该区国土空间规划开发可能面临的地质灾害风险。

汶川震区山洪灾害场次洪水最大携沙量预测模型

汶川地震后,震区产生了大量松散堆积体,受强降水影响产生了破坏性更强的山洪灾害,加剧了灾害的危险性,增加了灾害防治的困难度,研究震区山洪灾害可为评估灾害的风险性及后续的管理提供依据。本研究以66处历史山洪灾害作为样本数据,进行可量算影响因子的相关性分析,揭示山洪灾害的携沙量影响机制,确定流域面积、主沟长度、相对高差、物源量四个影响因子作为主控因子,基于SPSS进行非线性回归分析,建立了基于场次洪水最大携沙量及最大携沙距离的估算模型,并选取了汶川县和都江堰市的共23处山洪水沙灾害数据进行了模型的验证且与其他模型对比。结果表明,本研究建立的模型可靠性好,精度更高。研究成果有助于预测汶川震区潜在的山洪水沙灾害区域,为山洪水沙灾害的风险评估提供依据。

粤港澳大湾区复合灾害系统敏感性评估

[目的]识别灾害的敏感性是防灾减灾的重要前提,复合灾害系统敏感性评估是复合灾害系统风险评估的重要组成部分。[方法]首先根据暴雨—滑坡灾害链特征构建复合灾害系统敏感性评估指标体系,进而采用卷积神经网络(CNN)和参数最优地理探测器—层次分析法耦合模型(OPGD-AHP)对粤港澳大湾区的暴雨—滑坡灾害链敏感性进行评估。通过对暴雨和滑坡单灾种的敏感性分析,分别得到粤港澳大湾区暴雨和滑坡的敏感性分级图,并由统计分析得出暴雨诱发滑坡的阈值及其转换概率,以此对暴雨-滑坡灾害链敏感性进行分析,最终得到粤港澳大湾区暴雨—滑坡灾害链敏感性分级图。[结果](1)粤港澳地区暴雨-滑坡灾害链高敏感区域主要分布在广宁县、怀集县等西北部地区和惠阳区、惠东县等东部地区;(2)次高敏感性和中敏感性区域主要分布在封开、德庆、从化、龙门、博罗等区域;(3)低敏感区和次低敏感区主要分布在南海、荔湾、禅城、顺德、南沙、番禺、三水、白云等中部地区。[结论]研究结果可为粤港澳大湾区的防灾减灾、增强灾害链风险抵抗力和恢复力提供科学依据和技术支持。

粤港澳大湾区复合灾害系统暴露度评估

为了针对性地预防和降低复合灾害给城市带来的灾害损失,对于链式复合灾害系统暴露度开展研究具有重要的理论实践意义。通过对链式复合灾害系统暴露度的研究分析,综合考虑现有研究并界定了复合灾害系统暴露度的内涵,推导建立了链式复合灾害系统暴露度评价模型和计算方法。以粤港澳大湾区暴雨-滑坡灾害链为例进行实证分析,从人口、经济、社会等方面筛选构建区域灾害链暴露度评估指标体系,运用序关系分析和TOPSIS法计算得到湾区52个区县的暴雨、滑坡单一灾害暴露度指数,进而运用构建的链式复合灾害系统的暴露度理论模型和ArcGIS得到粤港澳大湾区暴雨-滑坡灾害链暴露度区划图,并根据各区域灾害链暴露度属性提出相应的灾害防范化解重大风险应对措施。研究结果表明:经济发达地区对应的暴露度指数显著高于其他地区,低暴露度区集中在经济相对落后的地区,各指标中人口密度和地均GDP占主体地位,对地区暴露度的影响最高。通过对区域复合灾害系统暴露度的评估,可以为政府和相关部门提供合理的科学依据和决策支持,帮助政府、城市规划者和公众更好地了解和应对灾害风险,从而减少灾害的损失和影响。

气候灾害、农产品价格策略和农户生计脆弱性——来自生态搬迁安置区的考察

在生态搬迁大背景下,农户面临的外部环境、内在心理和应对策略均发生了明显转变,有必要从外部扰动与内部适应的视角探究农户生计脆弱性。基于生计脆弱性理论,探讨实际气候灾害、感知气候灾害和农产品价格策略对农户生计脆弱性的影响,基于广东韶关南水湖生态搬迁安置区425位农户的调研数据进行验证。通过单因素方差分析、回归分析和Bootstrap中介效应检验,得出结论:首先,生态搬迁安置区农户感知气候灾害有其特殊性,与村子位置、社会关系和生计转换能力有关;其次,实际气候灾害和感知气候灾害均会加剧农户生计脆弱性,但感知气候灾害的影响力大于实际气候灾害,这与以往研究观点不同,也反映出农户对于气候灾害的担忧心理较为突出;最后,气候灾害及其后续的农产品价格策略是影响农户生计脆弱性的重要因素。