Observed Evidence for Steep Rise in the Extreme Flow of Western Himalayan Rivers

2020 ◽  
Vol 47 (15) ◽  
Author(s):  
Divyansh Chug ◽  
Amey Pathak ◽  
J. Indu ◽  
Sharad K. Jain ◽  
Sanjay K. Jain ◽  
...  
Keyword(s):  
Steep Rise ◽  
Himalayan Rivers ◽  
Extreme Flow

Effects of Moderate and Extreme Flow Regulation onPopulusGrowth along the Green and Yampa Rivers, Colorado and Utah

2016 ◽  
Vol 32 (8) ◽  
pp. 1698-1708 ◽  
Author(s):  
D. M. Schook ◽  
E. A. Carlson ◽  
J. S. Sholtes ◽  
D. J. Cooper
Keyword(s):  
Flow Regulation ◽  
Extreme Flow

scholarly journals Influence of Hydrological Model Selection on Simulation of Moderate and Extreme Flow Events: A Case Study of the Blue Nile Basin

2016 ◽  
Vol 2016 ◽  
pp. 1-28 ◽  
Author(s):  
Charles Onyutha
Keyword(s):  
Model Selection ◽  
Extreme Events ◽  
Goodness Of Fit ◽  
Model Performance ◽  
Flow Conditions ◽  
Nile Basin ◽  
Blue Nile ◽  
Low Flows ◽  
Blue Nile Basin ◽  
Extreme Flow

Five hydrological models were applied based on data from the Blue Nile Basin. Optimal parameters of each model were obtained by automatic calibration. Model performance was tested under both moderate and extreme flow conditions. Extreme events for the model performance evaluation were extracted based on seven criteria. Apart from graphical techniques, there were nine statistical “goodness-of-fit” metrics used to judge the model performance. It was found that whereas the influence of model selection may be minimal in the simulation of normal flow events, it can lead to large under- and/or overestimations of extreme events. Besides, the selection of the best model for extreme events may be influenced by the choice of the statistical “goodness-of-fit” measures as well as the criteria for extraction of high and low flows. It was noted that the use of overall water-balance-based objective function not only is suitable for moderate flow conditions but also influences the models to perform better for high flows than low flows. Thus, the choice of a particular model is recommended to be made on a case by case basis with respect to the objectives of the modeling as well as the results from evaluation of the intermodel differences.

Topsoil delivery to Himalayan rivers: the importance of sampling time

2016 ◽  
Vol 30 (24) ◽  
pp. 4609-4616
Author(s):  
M. Nawaz ◽  
R. J. Wasson ◽  
R. Bhushan ◽  
N. Juyal ◽  
F. Sattar
Keyword(s):  
Sampling Time ◽  
Himalayan Rivers

scholarly journals Hydrodynamic modelling of flow impact on structures under extreme flow conditions

2016 ◽  
Vol 28 (2) ◽  
pp. 267-274 ◽  
Author(s):  
Qiuhua Liang ◽  
Kai-cui Chen ◽  
Jingming Hou ◽  
Yan Xiong ◽  
Gang Wang ◽  
...  
Keyword(s):  
Hydrodynamic Modelling ◽  
Flow Conditions ◽  
Extreme Flow

scholarly journals Effect of choice of routing model on extreme flow statistics

1989 ◽  
Vol 34 (2) ◽  
pp. 139-156
Author(s):  
ZBIGNIEW W. KUNDZEWICZ ◽  
ERICH J. PLATE
Keyword(s):  
Extreme Flow

A look into German housing markets: A bubble call?

2018 ◽  
Vol 21 (4) ◽  
pp. 289-301
Author(s):  
Jan R. Kim ◽  
Gieyoung Lim
Keyword(s):  
Housing Market ◽  
House Prices ◽  
House Price ◽  
Housing Markets ◽  
Present Value ◽  
Present Value Model ◽  
Price Bubbles ◽  
Steep Rise ◽  
Value Model ◽  
German Housing Market

The steep rise in German house prices in recent years raises the question of whether a speculative bubble has already emerged. Using a modified present-value model, we estimate the size of speculative house price bubbles in the German housing market. We do not find evidence for positive bubble accumulation in recent years, and interpret the current bullish run as reflecting the correction of house prices that have been undervalued for more than 10 years. With house prices close to their fair values as of 2018:Q1, our answer to the question is, ‘Not yet, but it is likely soon’.

Sign in / Sign up

Export Citation Format

Share Document