Estimation of Changes in Annual Peak Flows in Netravathi River Basin, Karnataka, India

2017 ◽  
pp. 193-199
Author(s):  
Arega Mulu ◽  
T. M. Fasnamol ◽  
G. S. Dwarakish
Keyword(s):  
River Basin ◽  
Peak Flows ◽  
Annual Peak

scholarly journals Effects of Urbanization and Climate Change on Peak Flows over the San Antonio River Basin, Texas

2016 ◽  
Vol 17 (9) ◽  
pp. 2371-2389 ◽  
Author(s):  
Gang Zhao ◽  
Huilin Gao ◽  
Lan Cuo
Keyword(s):  
Climate Change ◽  
River Basin ◽  
San Antonio ◽  
Coupled Model ◽  
Peak Flows ◽  
Uncertainty Range ◽  
Annual Peak ◽  
Period 2 ◽  
The Difference ◽  
Land Cover Maps

Abstract A thorough understanding of the peak flows under urbanization and climate change—with the associated uncertainties—is indispensable for mitigating the negative social, economic, and environmental impacts from flooding. In this paper, a case study was conducted by applying the Distributed Hydrology Soil Vegetation Model (DHSVM) to the San Antonio River basin (SARB), Texas. Historical and future land-cover maps were assembled to represent the urbanization process. Future climate and its uncertainties were represented by a series of designed scenarios using the Change Factor (CF) method. The factors were calculated by comparing the model ensemble from phase 5 of the Coupled Model Intercomparison Project (CMIP5) with baseline historical climatology during two future periods (2020–49, period 1; 2070–99, period 2). It was found that with urban impervious areas increasing alone, annual peak flows may increase from 601 (period 1) to 885 m3 s−1 (period 2). With regard to climate change, annual peak flows driven by forcings from maximum, median, and minimum CFs under four representative concentration pathways (RCPs) were analyzed. While the median values of future annual peak flows—forced by the median CF values—are very similar to the baseline under all RCPs, in each case the uncertainty range (calculated as the difference between annual peak flows driven by the maximum and minimum CFs) is very large. When urbanization and climate change coevolve, these averaged annual peak flows from the four RCPs will increase from 447 (period 1) to 707 m3 s−1 (period 2), with the uncertainties associated with climate change more than 3 times greater than those from urbanization.

scholarly journals Process-Based Modeling of the High Flow of a Semi-Mountain River under Current and Future Climatic Conditions: A Case Study of the Iya River (Eastern Siberia)

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1042
Author(s):  
Andrey Kalugin
Keyword(s):  
Water Level ◽  
River Basin ◽  
21St Century ◽  
Residential Buildings ◽  
High Flow ◽  
Peak Discharge ◽  
Future Climate ◽  
Future Climate Change ◽  
Generation Model ◽  
Annual Peak

The purpose of the study was to analyze the formation conditions of catastrophic floods in the Iya River basin over the observation period, as well as a long-term forecast of the impacts of future climate change on the characteristics of the high flow in the 21st century. The semi-distributed process-based Ecological Model for Applied Geophysics (ECOMAG) was applied to the Iya River basin. Successful model testing results were obtained for daily discharge, annual peak discharge, and discharges exceeding the critical water level threshold over the multiyear period of 1970–2019. Modeling of the high flow of the Iya River was carried out according to a Kling–Gupta efficiency (KGE) of 0.91, a percent bias (PBIAS) of −1%, and a ratio of the root mean square error to the standard deviation of measured data (RSR) of 0.41. The preflood coefficient of water-saturated soil and the runoff coefficient of flood-forming precipitation in the Iya River basin were calculated in 1980, 1984, 2006, and 2019. Possible changes in the characteristics of high flow over summers in the 21st century were calculated using the atmosphere–ocean general circulation model (AOGCM) and the Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES) as the boundary conditions in the runoff generation model. Anomalies in values were estimated for the middle and end of the current century relative to the observed runoff over the period 1990–2019. According to various Representative Concentration Pathways (RCP-scenarios) of the future climate in the Iya River basin, there will be less change in the annual peak discharge or precipitation and more change in the hazardous flow and its duration, exceeding the critical water level threshold, at which residential buildings are flooded.

scholarly journals Evaluation on non-stationarity assumption of annual maximum peak flows during 1956-2016 in the Huaihe River Basin

2018 ◽  
Vol 30 (4) ◽  
pp. 1123-1137
Author(s):  
SUN Peng ◽  
◽  
SUN Yuyan ◽  
ZHANG Qiang ◽  
YAO Rui ◽  
...  
Keyword(s):  
River Basin ◽  
Annual Maximum ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Peak Flows ◽  
Maximum Peak ◽  
The Huaihe River

Long-term dependence in annual peak flows of Canadian rivers

1994 ◽  
Vol 160 (1-4) ◽  
pp. 89-103 ◽  
Author(s):  
L.M. Lye ◽  
Yude Lin
Keyword(s):  
Peak Flows ◽  
Annual Peak

Using Artificial Neural Networks to Fill-in Missing Annual Peak Flows

2007 ◽  
Author(s):  
Steven K. Starrett ◽  
Shelli K. Starrett ◽  
Travis Heier ◽  
Yunsheng Su ◽  
Denny Tuan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Peak Flows ◽  
Annual Peak ◽  
Artificial Neural

scholarly journals Examining the effects of urban agglomeration polders on flood events in Qinhuai River basin, China with HEC-HMS model

2017 ◽  
Vol 75 (9) ◽  
pp. 2130-2138 ◽  
Author(s):  
Yuqin Gao ◽  
Yu Yuan ◽  
Huaizhi Wang ◽  
Arthur R. Schmidt ◽  
Kexuan Wang ◽  
...  
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Peak Flow ◽  
Urban Agglomeration ◽  
Flood Events ◽  
Peak Flows ◽  
Flood Volume ◽  
Control Pattern ◽  
The Impact ◽  
Qinhuai River

The urban agglomeration polders type of flood control pattern is a general flood control pattern in the eastern plain area and some of the secondary river basins in China. A HEC-HMS model of Qinhuai River basin based on the flood control pattern was established for simulating basin runoff, examining the impact of urban agglomeration polders on flood events, and estimating the effects of urbanization on hydrological processes of the urban agglomeration polders in Qinhuai River basin. The results indicate that the urban agglomeration polders could increase the peak flow and flood volume. The smaller the scale of the flood, the more significant the influence of the polder was to the flood volume. The distribution of the city circle polder has no obvious impact on the flood volume, but has effect on the peak flow. The closer the polder is to basin output, the smaller the influence it has on peak flows. As the level of urbanization gradually improving of city circle polder, flood volumes and peak flows gradually increase compared to those with the current level of urbanization (the impervious rate was 20%). The potential change in flood volume and peak flow with increasing impervious rate shows a linear relationship.

scholarly journals Verification of empirical formulas for calculating annual peak flows with specific return period in the upper Vistula basin

2018 ◽  
Vol 2 ◽  
pp. 145-154 ◽  
Author(s):  
Dariusz Młyński ◽  
◽  
Andrzej Wałęga ◽  
Andrea Petroselli ◽  
◽  
...  
Keyword(s):  
Return Period ◽  
Empirical Formulas ◽  
Peak Flows ◽  
Annual Peak
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