Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches

B Praveen, S Talukdar, Shahfahad, S Mahato… - Scientific reports, 2020 - nature.com
This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using
the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test …

Innovative polygon trend analysis (IPTA) and applications

Z Şen, E Şişman, I Dabanli - Journal of Hydrology, 2019 - Elsevier
Trend analysis is continuously in the research and application agenda due to climate
change effect searches on various engineering, social, economic, agriculture, environmental …

Long-term trend and variability of precipitation in Chhattisgarh State, India

SG Meshram, VP Singh, C Meshram - Theoretical and Applied …, 2017 - Springer
Spatial and temporal precipitation variability in Chhattisgarh State in India was examined by
using monthly precipitation data for 102 years (1901–2002) from 16 stations. The …

Development of an ARIMA model for monthly rainfall forecasting over Khordha district, Odisha, India

S Swain, S Nandi, P Patel - Recent findings in intelligent computing …, 2018 - Springer
The assessment of climate change, especially in terms of rainfall variability, is of giant
concern all over the world at present. Contemplating the high spatiotemporal variation in …

Hydrological modeling through soil and water assessment toolin a climate change perspective a brief review

S Swain - 2017 2nd International conference for convergence …, 2017 - ieeexplore.ieee.org
Accounting the impacts of climate change on watersheds and water availability,
development of adaptive strategies for the exacerbating circumstances is of highest concern …

Analysis of precipitation data using innovative trend pivot analysis method and trend polygon star concept: a case study of Soan River Basin, Potohar Pakistan

F Hussain, G Ceribasi, AI Ceyhunlu… - Journal of Applied …, 2022 - journals.ametsoc.org
The trend analysis approach is adopted for the prediction of future climatological behavior
and climate change impact on agriculture, the environment, and water resources. In this …

A multiple linear regression model for precipitation forecasting over Cuttack district, Odisha, India

S Swain, P Patel, S Nandi - 2017 2nd international conference …, 2017 - ieeexplore.ieee.org
Estimation of precipitation is necessary for optimum utilization of water resources and their
appropriate management. The economy of India being heavily dependent on agriculture …

Streamflow estimation using SWAT model over Seonath river basin, Chhattisgarh, India

S Swain, MK Verma, MK Verma - Hydrologic Modeling: Select Proceedings …, 2018 - Springer
Water availability is one of the major issues that need attention from the present generation
across the whole world to attain sustainability. Spatial variation of water resources and …

[PDF][PDF] Statistical analysis of precipitation over Seonath river basin, Chhattisgarh, India

MK Verma, MK Verma, S Swain - International Journal of Applied …, 2016 - academia.edu
The impact of climate change in terms of anomalies in precipitation has risen up as a major
challenge in the world, as it may lead to havoc by intense floods or severe droughts. This …

Assessment of climate characteristics and long-term trends of rainfall and drought in the Congo River Basin

EH Mabrouk, FI Moursy, M Morsy - Journal of Water and Climate …, 2022 - iwaponline.com
This study aims to assess patterns, variability, and trends of rainfall and meteorological
drought and identify the different climatic zones using 42-year monthly TerraClimate gridded …