Mediterranean flash flood transfer through karstic area

Karstic aquifers influence flash floods propagation in Mediterranean countries. Near Montpellier, Southern France, discharge data are recorded on the Coulazou River upstream and downstream of the Aumelas Causse. Two gauging stations are used to describe the hydrodynamics of this binary karstic system. The first station characterizes the non-karstic catchment area. The second one is representative of the karstic part of the watershed. Records since April 2004 are used to understand how the river interacts with a karstic aquifer. Hydrograph analysis of three flash flood events is described. Corresponding discharge time series recorded at the two gauging stations are used to describe the modification of the hydrographs by auto- and crosscorrelations analyses. Finally, linear system analyses are used to provide the transfer functions of this binary karstic system according to the three flood events characteristics (initial conditions, volume, spatial distribution of rainfall, etc.). Theses functions summarize the hydrodynamic behaviour of the system: their shapes are indicative of the dynamics of the storage, the release and the contribution to surface waters.

Morphometric analysis of Colangüil river basin and flash flood hazard,San Juan,Argentina

This work analyzes various morphometric characteristics of the Colangüil river basin in order to evaluate flash flood hazards. Such high-water events pose a risk to the similarly named small village located at the basin’s foot area. For this purpose, the basin is divided into seven sub-basins and some basic measurements (surface, perimeter, basin length, river beds, elevations and slope of the main river bed, and of a number of minor river beds) are calculated. These measurements permit to predict approximately the behavior of the basin in the presence of a series of theoretical rainstorms that may generate unusual runoff volumes that make up such flash floods.     

Characteristics analysis for the flash flood-induced debris flows

Typhoon Haitang caused landfall on Taiwan during 15–21 July, 2005 and brought 2,279 mm of maximum cumulative rain with a maximum intensity of 176 mm/h. The torrential rain was mainly distributed from the central mountain range to southern Taiwan and triggered 222 slopeland-related hazards. Among the hazard events, there were 17 debris flows, 157 cases of traffic cut-off, three large-magnitude deep-seated landslides, and 10 villages isolated in the off-track mountainous areas. The debris flows initiated in southern Taiwan were associated with torrential rain, short channel length (<2 km), and small basin area (<3 km²), and were speculated to be induced by flash flood. These flash flood-induced debris flows have a higher rainfall intensity-duration threshold for initiation than in other areas. The deep-seated landslides, isolated villages due to traffic cut-off in off-track mountain areas, and recurrent hazards in areas affected by the M_L 7.6 Chi-Chi earthquake in 1999 are characteristics of slopeland hazards in Taiwan in recent years. One of the most urgently needed mitigation strategies in response to slopeland hazards is the plan for enhancing self-rescue disaster resistance in off-track mountainous villages in Taiwan.     

2007年7月重庆和济南城市暴雨洪水灾害认识和思考

介绍了2007年7月发生在重庆、济南两座城市的暴雨洪水灾害发生情况及损失。从地形、气候与自然环境、城市排水系统、灾害预警和防灾应急管理五个方面对致灾原因进行了综合分析,提出了应对暴雨洪水等城市自然灾害的建议,即合理规划城市发展,提高城市排水系统和防洪标准,建立和完善科学的城市灾害应急机制与防灾体系,提高灾害预警水平,并注重增强全民的防灾意识。     

1998年夏季中国暴雨洪涝灾害的气象水文特征

文章分析了1998年夏季我国长江、嫩江、珠江流域发生的严重洪涝灾害的气象、水文特征及其成因。6月中、下旬珠江、长江、嫩江流域出现了持续性强降水, 局部地区下了大暴雨; 7月下旬长江流域出现了“二度梅”, 湖南、湖北和江西省普降暴雨; 8月上半月嫩江流域再次出现持续性强降水。频繁的强降水使长江、嫩江、华南西江等干、支流水位迅猛上涨, 支流河水不断涌入干流, 使得干流洪峰迭起。雨水和洪峰迭加, 引发了百年一遇的大洪水。1998年7月副热带高压南落是造成长江流域“二度梅”的主要原因。副热带高压、南海季风涌、中高纬冷空气和从青藏高原东移的中尺度对流系统 (MCS) 等4个因子的最佳组配, 有利于长江流域出现持续性强降水。     

Linear spectral unmixing algorithm for modelling suspended sediment concentration of flash floods,upper Tekeze River,Ethiopia

Flash floods are the highest sediment transporting agent,but are inaccessible for in-situ sampling and have rarely been analyzed by remote sensing technology.Laboratory and field experiments were done to develop linear spectral unmixing(LSU) remote sensing model and evaluate its performance in simulating the suspended sediment concentration(SSC) in flash floods.The models were developed from continuous monitoring in the laboratory and the onsite spectral signature of river bed sediment deposits and flash floods in the Tekeze River and in its tributary,the Tsirare River.The Pearson correlation coefficient was used to determine the variability of correlations between reflectance and SSCs.The coefficient of determination(R2) and root mean square of error(RMSE) were used to evaluate the performance of the generated models.The results found that the Pearson correlation coefficient between SSCs and reflectance varied based on the level of the SSCs,geological colors,and grain sizes.The performance of the LSU model and empirical remote sensing approaches were computed to be R2=0.92,and RMSE=±0.76 g/1 in the Tsirare River and R2=0.91,and RMSE=±0.73 g/1 in the Tekeze River and R2=0.81,RMSE=±2.65 g/l in the Tsirare river and R2=0.76,RMSE=±10.87 g/l in the Tekeze River,respectively.Hence,the LSU approach of remote sensing was found to be relatively accurate in monitoring and modeling the variability of SSCs that could be applied to the upper Tekeze River basin.     

Prévision des crues éclair

Flash-flood events resulting from paroxystic meteorological events concentrated in time and space are insufficiently documented as they produce destructive effects. They are hardly measurable and present single features that are not transposable to another event. In the South of France, the flash flood of November 1999 gives a perfect illustration of these characteristics. The physical complexity of the process and consequently the volume and the variety of the data to take into account are incompatible with the real time constraint allocated to the forecasters confronted to the occurrence of such phenomena. So, we have to make choices to afford acceptable simplifications to the complete mechanical model. MARINE (‘Modélisation de l'Anticipation du Ruissellement et des Inondations pour des évéNements Extrêmes’) is the operational and robust tool we developed for flash-flood forecasting. This model complies with the criterions of real-time simulation. It is a physically based distributed model composed of two parts: first the flood runoff process simulation in the upstream part of the basin modelled from a rainfall–runoff approach, then the flood propagation in the main rivers described by the Saint-Venant equations. It integrates remote sensed data – Digital Elevation Model, land-use map, hydrographic network for the observations from satellites and the rainfall evolution from meteorological radar. The main goal of MARINE is to supply real time pertinent information to the forecasters. Results obtained on the Orbieu River (Aude, France) show that this model is able to supply pertinent flood hydrograph with a sufficient precision for the forecasting service to take the appropriate safety decisions. Furthermore, MARINE has already been tested in the French National Flood Forecasting Service of Haute-Garonne in real conditions. To cite this article: V. Estupina Borrell et al., C. R. Geoscience 337 (2005).     

空间信息多媒体可视化技术在旅游概念规划中的应用——以神农架旅游空间规划为例

本文立足于“以用户为中心”的理念,在Flash平台下实现“神农架林区旅游发展布局战略空间调整”规划的地图可视化,探讨多媒体技术与空间信息可视化融合在旅游概念规划视觉表达中的可行性、关键技术及具体实现等,并根据用户体验效果进行总结,从而为相关应用研究提供思路和借鉴.     

Flood hydrograph estimation from arid catchment morphology

Data on performance of a geomorphologic rainfall-runoff model in simulating observed flash flood hydrographs in 32 arid catchments have been analysed. The catchments, which are located in the southwest region of Saudi Arabia, vary in their size, slope of land, and characteristics of soils, and are in zones of different rainstorm characteristics. The sensitivity of the model accuracy with various catchment and rainfall characteristics has been investigated. Size, followed by rate of infiltration and slope of land, are the most effective catchment characteristics affecting the accuracy. In addition, the accuracy varies with spatial and temporal rainfall variation, total rainfall depth, and length of the dry period between two successive rainstorms over catchment. It is sensitive to temporal rainfall variation more than spatial rainfall variation, and to the dry period more than total rainfall depth. Generally, the model did not display an accuracy approaching that of the observations, especially in simulating peak flowrates in large size infiltrating catchments having high temporal rainstorm variation. Guidelines on the best use of the model in arid catchments were proposed.