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中小河流山洪预警预报系统开发设计及应用 总被引：1，自引：1，他引：0
我国中小河流众多,山洪频发,洪灾损失严重,是造成人员伤亡的主要灾种。目前,我国中小河流山洪预报预警技术研究还处于初步阶段,山洪监测预警系统尚在试点建设中。介绍水利部公益性项目"中小河流突发性洪水监测与预警预报技术研究"开发的中小河流山洪预警预报原型系统,包括基于分布式水文模型、动态临界雨量的山洪预警预报方法,山洪预警预报原型系统的总体结构、软件设计与功能实现,以及在其中一个示范区江西遂川江的试运行情况,并对其实际应用进行了分析,以期为当前所开展的中小河流洪水易发区水文监测预警项目及全国山洪灾害防御非工程措施建设等工作提供参考。 相似文献
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山洪是山区中影响范围广,人员伤亡较大的一类地质灾害。针对山洪预警模型,国内外学者从多个角度对其进行过研究,研究区域多为大流域,方法多为雨量临界值预警。为了建立一套适用于北京山区小流域的山洪预警模型,本文研究了小流域单沟洪水模型预警在系统,此系统是基于充分的野外地质调查,在获得详细的沟域地质及土地利用数据后,利用合理的数学模型对流域内的降雨所产生的洪水产汇流过程进行全过程模拟,并对汇流过程中可能产生的灾害进行预警预报的一个系统。此单沟洪水模型具有精度高,计算结果准确的特点,其相应的预警系统能够对小范围居民区等重要建构筑物进行灾害预报,并预估人员撤离的安全时间,对实际的防灾减灾工作具有重要意义。 相似文献
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山洪灾害是我国防灾减灾工作中亟待解决的突出问题,临界雨量是山洪灾害预警预报的重要指标,传统的临界雨量计算方法各有所长,对资料的要求各不相同,但对于无实测资料小流域防灾对象临界雨量计算的研究却寥寥无几(这里无实测资料指的是既没有雨量、洪峰资料也无野外断面调查资料)。鉴于此,基于支持向量机回归拟合算法(SVR),应用比拟法建立模型,对无资料小流域山洪灾害临界雨量进行推求。结果表明:(1)SVR模型具有很好的泛化性,预测精度高、误差小,结果较优;(2)利用SVR模型预估的临界雨量值与真实值偏差小,可以作为山洪灾害预警预报指标,为当地决策部门提供参考。 相似文献
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山洪预警是区域防灾减灾的重要决策依据。结合降水集合预报模式,应用垂向混合产流模型,对甘肃武威地区的山洪预警进行研究。结果表明:修订后的降水集合预报可满足大雨量级的精度,在山洪预警检验中效果明显。未进行修订的降水集合预报数据在大雨量级精度较低,很难在山洪预警中得到应用。研究成果对于区域山洪预警方式和方法具有重要参考价值。 相似文献
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山洪灾害来势凶猛、预见期短、破坏性大,如何获得较长的预见期,最大程度减小洪灾损失十分重要。雨量预警指标也可叫临界雨量(强)就是解决山洪灾害预报、增加洪灾预见期的基础指标。通过对乡宁县地质、地貌、历史洪灾、暴雨等资料的分析整理,采用水利部规定的计算方法,结合乡宁县现状实际,确定了全县21处小流域山洪灾害防治雨量预警指标,为今后山洪灾害防治群策群防提供科学决策依据。 相似文献
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山洪影响调查评价与预警体系建设方法研究——以昌江芦溪河段为例 总被引：1，自引：0，他引：1
以山洪影响调查成果为基础,评价了昌江芦溪河段受洪水影响的程度,建立了水位预警指标体系和水文预报模型。得出的主要结论有:昌江芦溪河段洪水影响机率不到5年一遇,罗村最典型,个别年份重复受灾,属典型的山洪影响威胁区;以既有水文站点为基础,建立了水文站点的水位与上下游村落淹没基础信息的量化关联,形成"1对N"的预警关联体系,标定了集合对象的成灾水位(75.50m),分析结论与实际调查结果吻合;研究了昌江流域产汇流规律,建立了预报模型。本文的评价思路与预警体系构架方法可以作为完善山洪灾害非工程措施、中小河流水文监测系统实际应用的参考,对各地正在开展的山洪灾害调查评价工作具有参考意义。 相似文献
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针对雨型随机性所导致山洪灾害预警预报空报、漏报率过高问题,为提升山洪灾害预警精度,依据概率分布传递扩散原理,以雨型特征参数为控制条件,提出了基于参数控制的随机雨型生成法,建立了基于随机雨型的山洪灾害临界雨量计算模型及考虑决策者风险偏好的预警模式。以裴河流域为例,对不同雨型集下的临界雨量进行对比分析,并确定研究区6h临界雨量阈值空间。结果表明:雨峰位置、峰值倍比、前期土壤含水量对临界雨量的影响范围分别为32%~34%、33%~34%、15%~22%;雨型较前期影响雨量对临界雨量影响幅度更大;由雨峰位置系数和峰值倍比(r,bmax)双因子雨型集所确定的6h临界雨量阈值空间为98~185mm;考虑决策者不同风险偏好的临界雨量预警模式合理可靠,对更合理地开展山洪灾害预警工作具有指导意义。 相似文献
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区域滑坡灾害预测预警与风险评价 总被引：16，自引：0，他引：16
区域滑坡灾害预测预警是滑坡灾害研究领域的难点和热点。过去10多年来在这方面的研究主要集中在区域降雨与地质环境的结合方面。文章总结了目前国内外滑坡灾害预测预报、预警和风险管理研究现状,认为把滑坡灾害预警预报与风险管理相结合是减灾防灾的需要,也是今后该领域研究的发展趋势。文章从区域滑坡灾害空间预测、时间预警预报的角度提出了滑坡灾害预测预报的分类和理论基础,并在此基础上,利用MapGIS软件平台进行二次开发,建立了基于WebGIS的滑坡灾害信息管理系统和实时预警发布系统。以2004年"云娜"台风期间浙江省永嘉县滑坡灾害预警预报为例,进行了滑坡危险性预测、人口易损性预测、经济易损性预测到风险预测的实例研究。 相似文献
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A review of advances in China’s flash flood early-warning system 总被引：1，自引：0，他引：1
Changjun Liu Liang Guo Lei Ye Shunfu Zhang Yanzeng Zhao Tianyu Song 《Natural Hazards》2018,92(2):619-634
This paper summarizes the main flash flood early-warning systems of America, Europe, Japan, and Taiwan China and discusses their advantages and disadvantages. The latest development in flash flood prevention is also presented. China’s flash flood prevention system involves three stages. Herein, the warning methods and achievements in the first two stages are introduced in detail. Based on the worldwide experience of flash flood early-warning systems, the general research idea of the third stage is proposed from the viewpoint of requirements for flash flood prevention and construction progress of the next stage in China. Real-time dynamic warning systems can be applied to the early-warning platform at four levels (central level, provincial level, municipal level, and county level) . Through this, soil moisture, peak flow, and water level can be calculated in real-time using distributed hydrological models, and then flash flood warning indexes can be computed based on defined thresholds of runoff and water level. A compound warning index (CWI) can be applied to regions where rainfall and water level are measured by simple equipment. In this manner, flash-flood-related factors such as rainfall intensity and antecedent and cumulative rainfall depths can be determined using the CWI method. The proposed methodology for the third stage could support flash flood prevention measures in the 13th 5-Year Plan for Economic and Social Development of the People’s Republic of China (2016–2020). The research achievements will serve as a guidance for flash flood monitoring and warning as well as flood warning in medium and small rivers. 相似文献
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Flash flood disaster is a prominent issue threatening public safety and social development throughout the world, especially in mountainous regions. Rainfall threshold is a widely accepted alternative to hydrological forecasting for flash flood warning due to the short response time and limited observations of flash flood events. However, determination of rainfall threshold is still very complicated due to multiple impact factors, particular for antecedent soil moisture and rainfall patterns. In this study, hydrological simulation approach (i.e., China Flash Flood-Hydrological Modeling System: CNFF-HMS) was adopted to capture the flash flood processes. Multiple scenarios were further designed with consideration of antecedent soil moisture and rainfall temporal patterns to determine the possible assemble of rainfall thresholds by driving the CNFF-HMS. Moreover, their effects on rainfall thresholds were investigated. Three mountainous catchments (Zhong, Balisi and Yu villages) in southern China were selected for case study. Results showed that the model performance of CNFF-HMS was very satisfactory for flash flood simulations in all these catchments, especially for multimodal flood events. Specifically, the relative errors of runoff and peak flow were within?±?20%, the error of time to peak flow was within?±?2 h and the Nash–Sutcliffe efficiency was greater than 0.90 for over 90% of the flash flood events. The rainfall thresholds varied between 93 and 334 mm at Zhong village, between 77 and 246 mm at Balisi village and between 111 and 420 mm at Yu village. Both antecedent soil moistures and rainfall temporal pattern significantly affected the variations of rainfall threshold. Rainfall threshold decreased by 8–38 and 0–42% as soil saturation increased from 0.20 to 0.50 and from 0.20 to 0.80, respectively. The effect of rainfall threshold was the minimum for the decreasing hyetograph (advanced pattern) and the maximum for the increasing hyetograph (delayed pattern), while it was similar for the design hyetograph and triangular hyetograph (intermediate patterns). Moreover, rainfall thresholds with short time spans were more suitable for early flood warning, especially in small rural catchments with humid climatic characteristics. This study was expected to provide insights into flash flood disaster forecasting and early warning in mountainous regions, and scientific references for the implementation of flash flood disaster prevention in China. 相似文献
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In recent decades, population growth associated with unplanned urban occupation has increased the vulnerability of the Brazilian population to natural disasters. In susceptible regions, early flood forecasting is essential for risk management. Still, in Brazil, most flood forecast and warning systems are based either on simplified models of flood wave propagation through the drainage network or on stochastic models. This paper presents a methodology for flood forecasting aiming to an operational warning system that proposes to increase the lead time of a warning through the use of an ensemble of meteorological forecasts. The chosen configuration was chosen so it would be feasible for an operational flood forecast and risk management. The methodology was applied to the flood forecast for the Itajaí-Açu River basin, a region which comprises a drainage area of approximately 15,500 km2 in the state of Santa Catarina, Brazil, historically affected by floods. Ensemble weather forecasts were used as input to the MHD-INPE hydrological model, and the performance of the methodology was assessed through statistical indicators. Results suggest that flood warnings can be issued up to 48 h in advance, with a low rate of false warnings. Streamflow forecasting through the use of hydrological ensemble prediction systems is still scarce in Brazil. To the best of our knowledge, this is the first time this methodology aiming to an operational flood risk management system has been tested in Brazil. 相似文献
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A system for effectively forecasting flash floods of the Arno River (Tuscany, Italy) should provide a flood warning with 10–12 h of lead time, primarily in order to evacuate the city of Florence. This goal may be achieved by acquiring and processing meteorological and hydrological data in real-time and, accordingly, by releasing alarms at different levels of reliability and concern. Through the application of both procedural language and expert system techniques, a prototype was developed which can readily handle a variety of relevant information and make predictions on flood hazard in Florence. The system was fairly successfully tested by processing simple meteorological data which enable a 24 hour forewarning to be released. 相似文献
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Flood is the worst weather-related hazard in Taiwan because of steep terrain and storm. The tropical storm often results in disastrous flash flood. To provide reliable forecast of water stages in rivers is indispensable for proper actions in the emergency response during flood. The river hydraulic model based on dynamic wave theory using an implicit finite-difference method is developed with river roughness updating for flash flood forecast. The artificial neural network (ANN) is employed to update the roughness of rivers in accordance with the observed river stages at each time-step of the flood routing process. Several typhoon events at Tamsui River are utilized to evaluate the accuracy of flood forecasting. The results present the adaptive n-values of roughness for river hydraulic model that can provide a better flow state for subsequent forecasting at significant locations and longitudinal profiles along rivers. 相似文献
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The National Flash Flood Prevention Project, which mainly consists of non-structural and supplementary structural measures, has been conducted for 6 years in China. Some preliminary achievements have contributed to the prevention of flash flood in China. Based on the latest information, this article introduces China’s flash flood prevention system, primarily from the perspective of its development process, components, investment, and characteristics. To date, the system has incorporated many distinguished large-scale features such as the largest rain gauge network (approximately 0.5 million stations) in the world, massive disaster observation and preparedness networks, people-and-expert combined monitoring and forecasting data integration system, and a vast implementation area. Based on its early achievements and some typical case investigations of such flash flood prevention system, the article also discusses China’s prospects for preventing flash flood disasters in the future. 相似文献