A fast method of flood discharge estimation

2004 ◽  
Vol 18 (9) ◽  
pp. 1671-1684 ◽  
Author(s):  
Yen-Chang Chen ◽  
Chao-Lin Chiu
Keyword(s):  
Fast Method ◽  
Flood Discharge ◽  
Discharge Estimation

scholarly journals Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products

2019 ◽  
Vol 11 (3) ◽  
pp. 252 ◽  
Author(s):  
Nasreddine Belabid ◽  
Feng Zhao ◽  
Luca Brocca ◽  
Yanbo Huang ◽  
Yumin Tan
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
High Flow ◽  
Flow Conditions ◽  
Satellite Precipitation ◽  
Flood Discharge ◽  
Precipitation Measurement ◽  
Flood Disasters ◽  
The Difference ◽  
Discharge Estimation

Floods, storms and hurricanes are devastating for human life and agricultural cropland. Near-real-time (NRT) discharge estimation is crucial to avoid the damages from flood disasters. The key input for the discharge estimation is precipitation. Directly using the ground stations to measure precipitation is not efficient, especially during a severe rainstorm, because precipitation varies even in the same region. This uncertainty might result in much less robust flood discharge estimation and forecasting models. The use of satellite precipitation products (SPPs) provides a larger area of coverage of rainstorms and a higher frequency of precipitation data compared to using the ground stations. In this paper, based on SPPs, a new NRT flood forecasting approach is proposed to reduce the time of the emergency response to flood disasters to minimize disaster damage. The proposed method allows us to forecast floods using a discharge hydrograph and to use the results to map flood extent by introducing SPPs into the rainfall–runoff model. In this study, we first evaluated the capacity of SPPs to estimate flood discharge and their accuracy in flood extent mapping. Two high temporal resolution SPPs were compared, integrated multi-satellite retrievals for global precipitation measurement (IMERG) and tropical rainfall measurement mission multi-satellite precipitation analysis (TMPA). The two products are evaluated over the Ottawa watershed in Canada during the period from 10 April 2017 to 10 May 2017. With TMPA, the results showed that the difference between the observed and modeled discharges was significant with a Nash–Sutcliffe efficiency (NSE) of −0.9241 and an adapted NSE (ANSE) of −1.0048 under high flow conditions. The TMPA-based model did not reproduce the shape of the observed hydrographs. However, with IMERG, the difference between the observed and modeled discharges was improved with an NSE equal to 0.80387 and an ANSE of 0.82874. Also, the IMERG-based model could reproduce the shape of the observed hydrographs, mainly under high flow conditions. Since IMERG products provide better accuracy, they were used for flood extent mapping in this study. Flood mapping results showed that the error was mostly within one pixel compared with the observed flood benchmark data of the Ottawa River acquired by RadarSat-2 during the flood event. The newly developed flood forecasting approach based on SPPs offers a solution for flood disaster management for poorly or totally ungauged watersheds regarding precipitation measurement. These findings could be referred to by others for NRT flood forecasting research and applications.

scholarly journals Flood Discharge Estimation using Wavelet Transform (Case Study: Tamer Watershed)

2015 ◽  
Vol 129 (9) ◽  
pp. 9-13
Author(s):  
Bagher Heidarpour ◽  
Sajad Shahabi ◽  
Bahman Panjalizadeh ◽  
Aziz Hosseinnezhad
Keyword(s):  
Wavelet Transform ◽  
Flood Discharge ◽  
Discharge Estimation

A Novel Functional Assay of Protein C in Human Plasma and fts Comparison with Amidolytic and Anticoagulant Assays

1992 ◽  
Vol 67 (01) ◽  
pp. 046-049 ◽  
Author(s):  
H A Guglielmone ◽  
M A Vides
Keyword(s):  
Oral Anticoagulant ◽  
Protein C ◽  
Activated Protein C ◽  
Protein S ◽  
Normal Subjects ◽  
Test Sample ◽  
Functional Assay ◽  
Fast Method ◽  
Factor Va ◽  
Protein C Activity

SummaryA simple and fast method for the quantitative determination of protein C activity in plasma is here described. The first step consists in the conversion of protein C in the test sample into activated protein C by means of an activator isolated from Southern Copperhead venom. Subsequently, the degradation of factor Va, in presence of protein C-deficient plasma, is measured by the prolongation of the prothrombin time which is proportional to the amount of protein C in the sample. The dose-response curve showed a linear relationship from 6 to 150% protein C activity and the inter- and intra-assay reproducibility was 3.5% and 5.6% respectively. In normal subjects, a mean of protein C level of 98 ± 15% of normal pooled plasma was found. Comparison with the anticoagulant assay in samples of patients with oral anticoagulant, liver cirrhosis, disseminated intravascular coagulation and severe preeclampsia revealed an excellent correlation (r = 0.94, p <0.001). Also, a similar correlation (r = 0.93, p <0.001) existed between amidolytic assay and the method here proposed for all the samples studied without including the oral anticoagulant group. These results allowed us to infer that this method evaluates the ability of protein C to interact with protein S, phospholipids, calcium ions and factor Va.

A fast method for contingency analysis based on P-Q decoupled model.

1987 ◽  
Vol 107 (1) ◽  
pp. 9-16
Author(s):  
Dong Jian Li ◽  
Eiichi Tanaka ◽  
Jun Hasegawa
Keyword(s):  
Fast Method ◽  
Contingency Analysis

The Influence of Geographical Factors on Extreme Rainfalls in Lampung Province

2019 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
M Welly
Keyword(s):  
Geographical Location ◽  
Daily Rainfall ◽  
Extreme Rainfall ◽  
Design Flood ◽  
Extreme Rainfall Events ◽  
Rainfall Events ◽  
Ungauged Basin ◽  
Flood Discharge ◽  
Design Rainfall ◽  
Geographical Factors

Many people in Indonesia calculate design rainfall before calculating the design flooddischarge. The design rainfall with a certain return period will eventually be convertedinto a design flood discharge by combining it with the characteristics of the watershed.However, the lack of a network of rainfall recording stations makes many areas that arenot hydrologically measured (ungauged basin), so it is quite difficult to know thecharacteristics of rain in the area concerned. This study aims to analyze thecharacteristics of design rainfall in Lampung Province. The focus of the analysis is toinvestigate whether geographical factors influence the design rainfall that occurs in theparticular area. The data used in this study is daily rainfall data from 15 rainfallrecording stations spread in Lampung Province. The method of frequency analysis usedin this study is the Gumbel method. The research shows that the geographical location ofan area does not have significant effect on extreme rainfall events. The effect of risingearth temperatures due to natural exploitation by humans tends to be stronger as a causeof extreme events such as extreme rainfall.Keywords: Influence, geographical, factors, extreme, rainfall.

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