Integration of satellite and rainfall data for the identification of flood events in developing countries

2012 ◽  
pp. 167-180 ◽  
Author(s):  
Andrea Ajmar
Keyword(s):  
Developing Countries ◽  
Rainfall Data ◽  
Flood Events

scholarly journals Validation of the AROME, ALADIN and WRF Meteorological Models for Flood Forecasting in Morocco

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 437 ◽  
Author(s):  
El Mahdi El Khalki ◽  
Yves Tramblay ◽  
Arnau Amengual ◽  
Victor Homar ◽  
Romualdo Romero ◽  
...  
Keyword(s):  
Developing Countries ◽  
Soil Moisture ◽  
International Development ◽  
Hydrological Model ◽  
Flood Forecasting ◽  
Added Value ◽  
Flood Events ◽  
African Countries ◽  
Antecedent Soil Moisture ◽  
Meteorological Models

Flash floods are common in small Mediterranean watersheds and the alerts provided by real-time monitoring systems provide too short anticipation times to warn the population. In this context, there is a strong need to develop flood forecasting systems in particular for developing countries such as Morocco where floods have severe socio-economic impacts. In this study, the AROME (Application of Research to Operations at Mesoscale), ALADIN (Aire Limited Dynamic Adaptation International Development) and WRF (Weather Research and Forecasting) meteorological models are evaluated to forecast flood events in the Rheraya and Ourika basin located in the High-Atlas Mountains of Morocco. The model evaluation is performed by comparing for a set of flood events the observed and simulated probabilities of exceedances for different precipitation thresholds. In addition, two different flood forecasting approaches are compared: the first one relies on the coupling of meteorological forecasts with a hydrological model and the second one is a based on a linear relationship between event rainfall, antecedent soil moisture and runoff. Three different soil moisture products (in-situ measurements, European Space Agency’s Climate Change Initiative ESA-CCI remote sensing data and ERA5 reanalysis) are compared to estimate the initial soil moisture conditions before flood events for both methods. Results showed that the WRF and AROME models better simulate precipitation amounts compared to ALADIN, indicating the added value of convection-permitting models. The regression-based flood forecasting method outperforms the hydrological model-based approach, and the maximum discharge is better reproduced when using the WRF forecasts in combination with ERA5. These results provide insights to implement robust flood forecasting approaches in the context of data scarcity that could be valuable for developing countries such as Morocco and other North African countries.

scholarly journals KESESUAIAN HIDROGRAF SATUAN SINTETIK TERHADAP HIDROGRAF SATUAN TERUKUR(STUDI KASUS SUB SUB DAERAH ALIRAN SUNGAI PEDINDANG BAGIAN TENGAH)

2018 ◽  
Vol 6 (1) ◽  
pp. 29-44
Author(s):  
Gustama Gustama ◽  
Fadillah Sabri ◽  
Donny Fransiskus Manalu
Keyword(s):  
River Basin ◽  
River Flow ◽  
Peak Discharge ◽  
Rainfall Data ◽  
Flood Events ◽  
Unit Hydrograph ◽  
Direct Runoff ◽  
Record Data ◽  
Synthetic Unit Hydrograph ◽  
Direct Runoff Hydrograph

A widely used method for analyzing river flow for flood forecasts is hydrograph unit. The hydrograph unit is a direct runoff hydrograph that can be created when there are AWLR record data, debit measurements and rainfall data. Synthetic Unit Hydrograph (SUH) is a unit hydrograph derived based on river data in the same watershed or nearby watershed but has the same characteristics, ie HSS Gama I, HSS Nakayasu, Limasan HSS, HSS Snyder and HSS SCS. Of the two hydrographs, there will be suitability of the hydrograph form that is going to be made. Sub territory of Pedindang  River Basin has four flood incidents, namely, date 23-24 February 2016; March 2-3, 2016; March 3-4, 2016; and date 5-6 March 2016. In the analysis of each flood event, the peak discharge of synthetic unit hydrograph is very different from the peak discharge of the measured unit hydrograph. The average peak discharge of synthetic unit hydrograph occurs in the range of 2 or 3 hours, while the measured unit hydrograph of Pedindang River occurs in the range of 7 or 8 hours. In four flood events it is stated that, HSS Gama I approaches RMSE value (validation <10%) to HST form of Pedindang River with value: RMSE incidence I (23,601%); RMSE incidence II (16.315%); RMSE incidence III (50,400%); RMSE incidence IV (22.322%). With this result, it is stated that there is no synthetic unit hydrograph model that has compatibility with the measured unit hydrograph of Pedindang River.

scholarly journals STUDY OF THE DISTRIBUTION OF PRECIPITATION IN DISTRICT OF EASTERN MACEDONIA AND THRACE FOR THE PERIOD 1964 -1998

2018 ◽  
Vol 36 (2) ◽  
pp. 1054 ◽  
Author(s):  
Χ. Πεταλάς ◽  
Φ. Πλιάκας ◽  
Ι. Διαμαντής ◽  
Α. Καλλιώρας
Keyword(s):  
Coastal Zone ◽  
Significant Role ◽  
Quantitative Approach ◽  
Rainfall Data ◽  
Mountainous Terrain ◽  
Flood Events ◽  
Drought Period ◽  
Forested Areas ◽  
The Mean ◽  
High Precipitation

This paper refers to the distribution and the quantitative approach of the precipitation of the Region of Eastern Macedonia and Thrace for the period 1964 - 1998 and it is based on data from 64 meteorological stations. The distribution of the precipitation varies significantly according to each different location. The mountainous terrain plays a significant role on the distribution of precipitation while the low height of precipitation is easily observed within the coastal zone. The dense forested areas are characterized by high precipitation heights and flood events. The mean precipitation for the period 1964-1998 is 660 mm. The elaboration of the rainfall data shows a distinct reduction during 1964-1998 with a drought period between 1981 and 1993. December and November are found to be the most wet months, while it is observed that 70.2% of the precipitation occurs between October and March. It is estimated that 76% to 80% of the precipitation are lower than 10 mm. The percentage of annual precipitation which outflows and/or infiltrates ranges between 23.5% to 42.5%.

Flood Inundation Simulations based on GSMaP Satellite Rainfall Data in Jakarta, Indonesia

2020 ◽  
Author(s):  
Bambang Adhi Priyambodoho ◽  
Shuichi Kure ◽  
Ryuusei Yagi ◽  
Nurul Fajar Januriyadi
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
Rainfall Data ◽  
Observation Data ◽  
Flood Inundation ◽  
Rainfall Runoff ◽  
Flood Events ◽  
Concentration Time ◽  
Gauge Data ◽  
Forecasting System

Abstract Jakarta is the capital of Indonesia and is considered as one of the most vulnerable cities to climate-related disasters, including flooding, sea-level rise, and storm surge, in the world. Therefore, the development of a flood-forecasting system for Jakarta is crucial. However, the accurate prediction of flooding in Jakarta is challenging because of the rapid flood-concentration time in highly urbanized basins and the shortage of rainfall data in poorly gauged areas. The aim of this study is to simulate flood inundation that occurred in recent years using global satellite mapping of precipitation (GSMaP) products. The GSMaP products (NRT and Gauge V7) were evaluated and compared with the observation data obtained hourly from five ground stations in the Ciliwung River Basin. In addition, a rainfall-runoff and flood inundation model were applied to the target basin. The results of the analysis showed that the GSMaP Gauge data were more accurate than the GSMaP NRT data. However, the GSMaP Gauge could not be used to provide real-time rainfall data and is, therefore, inadequate for real-time flood forecasting. We conclude that the GSMaP Gauge is suitable for replicating past flood events, but it is challenging to use the GSMaP NRT for real-time flood forecasting in Jakarta.

Effect of Zero Measurements in Rainfall Data

2013 ◽  
Vol 63 (2) ◽  
Author(s):  
Jamaludin Suhaila ◽  
Kong Ching-Yee ◽  
Fadhilah Yusof ◽  
Foo Hui-Mean
Keyword(s):  
Climate Change ◽  
Rainfall Data ◽  
Flood Events ◽  
Tropical Country ◽  
Rainfall Analysis ◽  
The Third ◽  
First Case ◽  
Zero Values

Flood is a commonly occurring hazard in Malaysia. The climate change in combination with the sea level rise will affected the frequency of flood events especially in a tropical country like Malaysia. Many researches focused on modeling rainfall data have been carried out in Malaysia. However, most of the rainfall studies did not include the zero values. The importance of these zero measurements should be examined in order to increase the quality of the research. The main purpose of this paper is to study the effect of zero measurement in rainfall analysis by applying a mixed bivariate lognormal distribution. The inter-station correlation coefficient was calculated in three cases of datasets. The first case considered only the positive values at both stations, and the second case included the positive values at either one of the stations, while the third case considered all values including zeroes at both rainfall stations. It was found that only the cases considering the positive measurements are useful and valid for the characterization of rainfall fields in our analysis.

Evaluating the use of bias-corrected radar rainfall data in three flood events in Samsun, Turkey

2019 ◽  
Vol 98 (2) ◽  
pp. 643-674 ◽  
Author(s):  
Arzu Ozkaya ◽  
Zuhal Akyurek
Keyword(s):  
Rainfall Data ◽  
Flood Events ◽  
Radar Rainfall
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