首页> 外文OA文献 >A staggered approach to flash flood forecasting a case study in the Cevennes region
【2h】

A staggered approach to flash flood forecasting a case study in the Cevennes region

机译:突发洪水的交错方法预测塞文山脉地区的案例研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A staggered approach to flash flood forecasting is developed within the IMPRINTS project (FP7-ENV-2008-1-226555). Instead of a single solution system, a chain of different models and input data is being proposed that act in sequence and provide decision makers with information of increasing accuracy in localization and magnitude as the events approach. The first system in the chain is developed by adapting methodologies of the European Flood Alert System (EFAS) to forecast flash floods and has the potential to provide early indication for probability of flash floods at the European scale. The last system in the chain is an adaptation of the data based mechanistic model (DBM) to probabilistic numerical weather predictions (NWP) and observed rainfall, with the capability to forecast river levels up to 12 h ahead. The potential of both systems to provide complementary information is illustrated for a flash flood event occurred on 2 November 2008 in the Cévennes region in France. Results show that the uncertainty in meteorological forecasts largely affects the outcomes. However, at an early stage, uncertain results are still valuable to decision makers, as they raise preparedness towards prompt actions to be taken.
机译:IMPRINTS项目(FP7-ENV-2008-1-226555)中开发了一种交错的山洪预报方法。提议使用一系列不同的模型和输入数据,而不是单个解决方案系统,这些序列和操作顺序地动作,并随着事件的临近,为决策者提供本地化和数量级准确性提高的信息。该链中的第一个系统是通过采用欧洲洪水警报系统(EFAS)的方法来预测山洪暴发而开发的,它有可能为欧洲规模的山洪暴发概率提供早期指示。链中的最后一个系统是对基于数据的机械模型(DBM)进行调整以适应概率数值天气预报(NWP)和观测到的降雨,并能够预测长达12小时的河流水位。举例说明了2008年11月2日在法国塞文山脉地区发生的山洪暴发事件,这两种系统都可能提供补充信息。结果表明,气象预报的不确定性在很大程度上影响结果。但是,在早期阶段,不确定的结果仍然对决策者有价值,因为它们提高了对即将采取的迅速行动的准备。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号