Do mixing models with different input requirement yield similar streamflow source contributions? Case study: A tropical montane catchment     

Jorge Ramón  Alicia Correa  Edison Timbe  Giovanny M. Mosquera  Enma Mora  Patricio Crespo 《水文研究》2021,35(6):e14209

Hydrogeochemical based mixing models have been successfully used to investigate the composition and source identification of streamflow. The applicability of these models is limited due to the high costs associated with data collection and the hydrogeochemical analysis of water samples. Fortunately, a variety of mixing models exist, requiting different amount of data as input, and in data scarce regions it is likely that preference will be given to models with the lowest requirement of input data. An unanswered question is if models with high or low input requirement are equally accurate. To this end, the performance of two mixing models with different input requirement, the mixing model analysis (MMA) and the end-member mixing analysis (EMMA), were verified on a tropical montane headwater catchment (21.7 km²) in the Ecuadorian Andes. Nineteen hydrogeochemical tracers were measured on water samples collected weekly during 3 years in streamflow and eight potential water sources or end-members (precipitation, lake water, soil water from different horizons and springs). Results based on 6 conservative tracers, revealed that EMMA (using all tracers) and MMA (using pair-combinations out of the 6 conservative ones), identified the same end-members: rainfall, soil water and spring water., as well as, similar contribution fractions to streamflow from rainfall 21.9% and 21.4%, soil water 52.7% and 52.3%, and spring water 26.1% and 28.7%, respectively. Our findings show that a hydrogeochemical mixing model requiring a few tracers can provide similar outcomes than models demanding more tracers as input data. This underlines the value of a preliminary detailed hydrogeochemical characterization as basis to derive the most cost-efficient monitoring strategy.  相似文献   

Large debris flows in Chosica,Lima, Peru: the application of hydraulic infrastructure for erosion control and disaster prevention     

S. P. Villacorta  K. G. Evans  K. Nakatani  I. Villanueva 《Australian Journal of Earth Sciences》2020,67(3):425-436

Abstract

Large debris flows in steep-sloped ravines debouching to the Rimac River, in metropolitan Lima (Peruvian capital), have resulted in considerable loss of life and property adversely impacting communities in the region. Temporal, spatial and volumetric features of debris flows are difficult to predict, and it is of utmost importance that achievable management solutions are found to reduce the impact of these catastrophic events. The emotional and economic toll of these debris flows on this increasingly densely populated capital city in South America is devastating where communities must live in such inadequate and dangerous conditions. To address this problem, the application of advanced Japanese technology, Sustainable Actions Basin Orientation (SABO), has been investigated using a geomorphological modelling to develop an implementation plan. Rayos de Sol stream basin in Chosica, was selected as a pilot to develop the proposal, as it is considered high risk due to the presence of ancient debris flows and recent flows in 2012, 2015 and 2017. The recurrence of debris flows in this location has resulted in numerous deaths and catastrophic property losses. This study combines geologic and geomorphic mapping and hydraulic and landform evolution numerical modelling. The implementation of a SABO Master Plan based on the multidisciplinary assessment hazard scenarios, will allow the implementation of feasible mitigation actions. The SABO technology has been applied successfully in Japan and other countries in areas with steep short slopes, similar to the conditions surrounding the Peruvian capital. Results from this study will be presented to the Peruvian Government as part of an action plan to manage debris-flow impact.

1. KEY POINTS

2. High-risk mass slope failure is linked to poor urban planning in urban developing regions of Lima the capital of Peru.

3. A multidisciplinary study including geotechnical and hydrological analysis, engineering design, and socio-economic research is required to implement a SABO Master Plan, and this basin is pilot study basin.

4. At the present time, a maintenance programme for existing hydraulic structures should be implemented, and a flood risk management plan developed may propose the relocation of some communities and infrastructure.

  相似文献   

Trends and risk evolution of drought disasters in Tibet Region,China     

Chen  Qiong  Liu  Fenggui  Chen  Ruijie  Zhao  Zhilong  Zhang  Yili  Cui  Peng  Zheng  Du 《地理学报(英文版)》2019,29(11):1859-1875

Journal of Geographical Sciences - The risk posed by natural disasters can be largely reflected by hazard and vulnerability. The analysis of long-term hazard series can reveal the mechanisms by...  相似文献   

中国省域尺度17部门资本存量的时空特征分析     

刘丽  李宁  张正涛  冯介玲  陈曦  白扣  黄承芳 《地理科学进展》2019,38(4):546-555

随着灾害强度、频率以及承灾体暴露的增加,自然灾害造成的损失日益严重。资本存量作为承灾体的经济暴露指标之一,是灾害损失评估的前提和基础。针对目前中国缺乏省域尺度长时间序列的经济部门分类的资本存量数据基础,论文通过永续盘存法,建立了2003—2015年中国大陆31省17部门的资本存量数据库,并分析其时空特征。结果显示：① 全国总资本存量与灾害直接损失的年际变化均呈增加趋势。省域尺度上,通过相关性分析显示,在99%置信度水平上,两者呈显著正相关(r=0.3)。② 时间上,各省17部门资本存量基本也呈增加趋势,但增速不同。在各部门增速最快的省份中,黑龙江省的居民服务、修理和其他服务业增速最快,增长约454.3倍;其次是青海省的租赁和商务服务业(398.3倍)、江苏省的金融业(295.1倍)、安徽省的科学研究和技术服务业(125.1倍)等。③ 空间上,2015年各省17部门资本存量最多的前4个部门分别是房地产业,工业,交通运输、仓储和邮政业,水利、环境和公共设施管理业,占比均在60%以上;且这4个部门资本存量暴露最多的省份是江苏省和广东省。该结果有助于从时空角度了解各省各部门资本存量暴露情况,为各省灾害风险管理者的防灾减灾工作提供重要的参考价值。  相似文献   

三峡库区龙门寨危岩体崩塌产生涌浪研究   总被引：1，自引：1，他引：0  

郑嘉豪  黄波林  张全  赵海林  冯万里  王健  陈小婷 《地质力学学报》2020,26(4):533-543

长江两岸高耸的危岩体对航道、沿岸居民带来巨大安全隐患。大宁河属于长江一级支流，龙门寨危岩体位于大宁河上，距离巫山县城仅1 km。利用FLOW-3D软件，模拟了145 m、175 m两种水位工况下龙门寨危岩体崩塌产生涌浪过程和涌浪传播过程。模拟结果表明，涌浪在145 m水位工况下最大浪高约为17.9 m，175 m水位工况下最大浪高约为11.6 m；在巫山县的五个码头处，两种水位工况最大涌浪爬高分别约为10.9 m、3.8 m；根据涌浪高度，对大宁河进行危险分区，145 m水位工况下极高危险区长度约4.4 km，很高危险区长度约1.9 km；175 m水位工况下极高危险区长度约3.0 km，很高危险区长度约1.0 km。研究结果有助于防控龙门寨危岩体潜在涌浪灾害危害，保障大宁河航道和巫山县码头安全，同时也为三峡库区滑坡涌浪灾害提供了预警依据。   相似文献   

洪水影响预报和风险预警理念与业务实践   总被引：2，自引：0，他引：2       下载免费PDF全文

刘志雨 《水文》2020,40(1):1-6

我国是世界上洪涝灾害频繁而严重的国家之一,洪水预报预警是防汛减灾工作中重要的非工程措施和洪水防御工作的耳目和参谋。从水文行业的视角,回顾了近年来我国洪水预报预警技术与业务进展,分析了当前洪水预报预警工作面临的新形势和新要求,对比国内外同类行业发展查找了存在的差距,阐述了洪水影响预报和风险预警的定义和理念,从顶层对基于影响预报和风险预警的新一代洪水预报预警系统("国家洪水预报预警系统")总体框架进行了研究和设计,一些关键技术成果在大范围洪水早期预警业务实践中得到了探索应用,取得了较好的效果。  相似文献   

不同空间尺度的山洪灾害风险评价模型对比研究          下载免费PDF全文

田丰  张军  冉有华  刘金鹏  周翼 《干旱区地理》2019,42(3):559-569

以山洪灾害风险评价的多准则决策模型、最大熵模型、信息量模型三种常见模型为研究对象，选取河西走廊和张掖市为地理区划（大中）、市域（小）空间尺度研究区，构建山洪灾害风险评价指标体系，分别完成基于三种模型的两种空间尺度的山洪灾害风险评价制图，基于甘肃省地质灾害调查与区划报告数据从模型验证、空间自相关、精度对比和尺度效应等角度对比分析三个模型应用于不同空间尺度的适应性，并给出优选模型。结果表明：最大熵模型是河西走廊（地理区划）空间尺度上山洪灾害风险评价的优选模型；多准则决策模型不适用于张掖市（市域）空间尺度评价，且三个模型运行结果均没有河西走廊（地理区划）空间尺度上表现良好；三个模型的尺度效应明显，在地理区划空间尺度上应用较良好，缩小至市域空间尺度上模拟结果误差增大；不同空间尺度上，最大熵模型均优于多准则决策模型和信息量模型，适用于地理区划（大中）、市域（小）空间尺度的山洪灾害风险评价。  相似文献   

2018年秦皇岛风暴潮前后岸基站及浮标主要水质参数变化分析     

马方方  王刚  毕玉明  周秋伶  桓清柳 《海洋技术学报》2019,38(6):68-74

对2018年8月秦皇岛风暴潮期间3个入海口岸基站及邻近海域浮标的监测数据进行分析,结果显示:风暴潮导致入海口水体中COD、总磷、总氮和氨氮含量均明显升高;风暴潮2 d之后,3个入海口邻近海域均发生赤潮,此次赤潮的发生与风暴潮导致陆源入海污染物骤然大幅升高有关。此次风暴潮导致秦皇岛人造河口、大蒲河口和七里海3个岸基监测站的COD监测日均值最高分别达到15.83 mg/L、8.70 mg/L和7.92 mg/L,约升高至前期的2倍、1.5倍和2倍;人造河口总氮变化不大,大蒲河口和七里海总氮升高30%左右;大蒲河口总磷变化不大,人造河口总磷为前期的3.5倍,升高幅度最大,七里海总磷为风暴潮之前两日的2倍,但未超过前一周的最高浓度;风暴潮当天及第二天,人造河口、大蒲河口、七里海氨氮日均值陆续达到最高,分别为2.34 mg/L、1.11 mg/L和0.12 mg/L,分别为风暴潮前两日的7倍、3.5倍和10倍。风暴潮过后,入海口临近海域发生赤潮,浮标监测到叶绿素a最高值为76.4μg/L,pH和溶解氧也大幅升高。分析表明,此次风暴潮导致的入海口污染物突然大幅升高为风暴潮之后的赤潮发生提供了充足的营养基础。  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   

热带西太平洋砂壳纤毛虫的多样性     

李海波  张武昌  赵苑  赵丽  董逸  王超锋  梁晨  肖天 《海洋学报(英文版)》2018,37(10):218-228

为了探明热带西太平洋海区砂壳纤毛虫的多样性、垂直分布及纬向变化，我们于2012年11-12月在该海区四个断面采集了0-200 m的水样。共检出砂壳纤毛虫39属124种，多数种类喜好生活在表层和次表层。砂壳纤毛虫种丰富度、丰度以及多样性指数的高值主要出现在比叶绿素浓度最大值稍浅的位置，与温度和叶绿素浓度显著正相关，与盐度和采样深度显著负相关。多数优势种与环境因子间的相关性不显著。热带西太平洋海区砂壳纤毛虫多样性极高，各站种丰富度在25-52之间。在从表层至75 m处的多数采样点香农指数均大于3。该海区砂壳纤毛虫冗余种的比例很高，占砂壳纤毛虫总种类数的87.90%，贡献了砂壳纤毛虫60.38%的丰度，表明热带西太平洋海区砂壳纤毛虫群落对饵料组成和摄食压力改变的应对能力很强，稳定性很高。  相似文献