Modelling Annual Rainfall of Krishna and Godavari River Basins using Extreme Value Type-1 Distribution

2014 ◽  
Vol 3 (1) ◽  
pp. 7-12
Author(s):  
N. Vivekanandan ◽  
Keyword(s):  
River Basins ◽  
Extreme Value ◽  
Annual Rainfall ◽  
Godavari River

scholarly journals Projection of Hydro-Climatic Extreme Events under Climate Change in Yom and Nan River Basins, Thailand

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 665
Author(s):  
Chanchai Petpongpan ◽  
Chaiwat Ekkawatpanit ◽  
Supattra Visessri ◽  
Duangrudee Kositgittiwong
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Extreme Events ◽  
River Basins ◽  
Annual Rainfall ◽  
Extreme Floods ◽  
Extreme Flood ◽  
Rcp 8.5 ◽  
Near Future ◽  
Far Future

Due to a continuous increase in global temperature, the climate has been changing without sign of alleviation. An increase in the air temperature has caused changes in the hydrologic cycle, which have been followed by several emergencies of natural extreme events around the world. Thailand is one of the countries that has incurred a huge loss in assets and lives from the extreme flood and drought events, especially in the northern part. Therefore, the purpose of this study was to assess the hydrological regime in the Yom and Nan River basins, affected by climate change as well as the possibility of extreme floods and droughts. The hydrological processes of the study areas were generated via the physically-based hydrological model, namely the Soil and Water Assessment Tool (SWAT) model. The projected climate conditions were dependent on the outputs of the Global Climate Models (GCMs) as the Representative Concentration Pathways (RCPs) 2.6 and 8.5 between 2021 and 2095. Results show that the average air temperature, annual rainfall, and annual runoff will be significantly increased in the intermediate future (2046–2070) onwards, especially under RCP 8.5. According to the Flow Duration Curve and return period of peak discharge, there are fluctuating trends in the occurrence of extreme floods and drought events under RCP 2.6 from the future (2021–2045) to the far future (2071–2095). However, under RCP 8.5, the extreme flood and drought events seem to be more severe. The probability of extreme flood remains constant from the reference period to the near future, then rises dramatically in the intermediate and the far future. The intensity of extreme droughts will be increased in the near future and decreased in the intermediate future due to high annual rainfall, then tending to have an upward trend in the far future.

Methods of fitting the Fisher-Tippett type 1 extreme value distribution

1983 ◽  
Vol 10 (3) ◽  
pp. 191-199 ◽  
Author(s):  
D.J.T. Carter ◽  
P.G. Challenor
Keyword(s):  
Extreme Value Distribution ◽  
Extreme Value ◽  
Value Distribution

scholarly journals Rainfall trend analysis

2021 ◽  
Vol 17 (1) ◽  
pp. 121-125
Author(s):  
Virendra N. Barai ◽  
Rohini M. Kalunge
Keyword(s):  
Trend Analysis ◽  
Kendall Test ◽  
River Basins ◽  
Annual Rainfall ◽  
Positive Trend ◽  
Rainfall Trend ◽  
Trend Magnitude ◽  
Increasing Trends ◽  
Multiple Units ◽  
Rainy Days

This article aims to review studies pertaining to trends in rainfall, rainy days over India. Non-parametric tests such as Sen’s Slope were used as estimator of trend magnitude which was supported by Mann-Kendall test. The findings of various studies indicate variance with respect to the rainfall rate, which contributes to an uncertain picture of the rainfall trend. In the study of monsoon of different locations in India some places showed increasing trends however, there is signifying decrease in trend all over India. It was also mentioned that analysis can vary from for a location if done using different source or types of collection of data. Spatial units range from station results and sub-division to sub-basin/river basins for trend analysis. The outcomes of the different experiments vary and a simple and reliable picture of the trend of rainfall has not appeared. While there can be a non-zero slope value for the multiple units (sub-basins or sub-divisions), few values are statistically important. In a basin-wise trend analysis report, some basins had a declining annual rainfall trend; at a 95 per cent confidence stage, only one basin showed a strong decreasing trend. Out of the six basins exhibiting a rising trend saw a major positive trend in one basin. Many of the basins have the same pattern direction on the annual and seasonal scale for rainfall and rainy days.

Impact assessment of anthropogenic interpositions on hydrological regimes of Godavari and Krishna River Basins, India

2020 ◽  
Author(s):  
Rahul Kumar Singh ◽  
Dr. Manoj Kumar Jain
Keyword(s):  
Flow Regime ◽  
Anthropogenic Activities ◽  
River Basins ◽  
Low Flow ◽  
Hydrologic Alteration ◽  
Riverine Ecosystems ◽  
Godavari River ◽  
Hydrological Alteration ◽  
Biotic Diversity ◽  
The Impact

<p>The rivers around the world have been transformed due to various anthropogenic activities and have led to the altered natural flow regime, which is crucial for controlling the essential environmental conditions within the river which in turn forms the biotic diversity. This study quantifies the adverse impacts due to the construction of dams on the hydrology of the Godavari and Krishna River Basins over the last half a century. The quantification of hydrologic alteration at five representative gauging stations of both the rivers has undertaken using Indicator of Hydrological Alteration (IHA) and the Flow Health (FH) methods based on the Range of Variability approach. To evaluate the alterations of flow regime due to the impact of dams (anthropogenic) only, the data for wet and dry years were excluded from the analysis as these represent the impact of climate variability. The IHA results reveal that the average monthly flow (especially from June to September), annual extreme streamflow indices (1-, 3-, and 7-day maxima flow), and rise and fall rates were among the most affected ones when compared to the pre-impacted period. The improved overall hydrologic alteration values for the Dhalegaon, Nowrangpur, K. Agraharam, and Vijayawada stations were found approximately 75.5%, 73.2%, 76.9 %, and 67.9 % respectively, suggesting a significant impact on the overall riverine ecosystem. The flow health (FH) analysis scores for high flow (HF) (K.Agraharam and Yadgir) highest monthly (HM) (Dhalegaon, K.Agraharam, and Yadgir), Low Flow (LF) (Dhalegaon) and flood flow intervals (FFI) (Dhalegaon and Vijayawada) during the test period were in the very high alteration range and these all hydrological indicator represents important ecological functions in both the rivers. The results showed in this study may guide in strategizing the multi-step process needed to improve the riverine ecosystems of Godavari and Krishna Basins and their ecological functioning.</p><p>Keywords: Hydrological alteration; Krishna River; Godavari River; Ecosystem</p>

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