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Projected Rainfall Intensity Duration Frequency Relationships under Climate Change: A Case Study of Thane City DOI:  https://doi.org/10.30564/jees.v4i2.4995 Received: 21 August 2022 | Revised: 23 September 2022 | Accepted: 30 September 2022 | Published Online: 19 October 2022 Abstract Climate change is the most important factor to increase in short-duration high-intensity rainfall and consequent flooding. Intensity-Duration Frequency (IDF) curves are commonly used tools in Stormwater design, so a method to derive future IDF curves including climate change effects could be necessary for mainstreaming climate change information into storm water planning. The objective of the present study is to define a mechanism to reflect the effect of climate change on the projected rainfall IDF relationships. For this, the continuously observed hourly rainfall data from 1969 to 2018 were divided into five subgroups. Then the IDF curve of each subgroup is defined. The rainfall intensity for the ne...

Projected Rainfall Intensity Duration Frequency Relationships under Climate Change: A Case Study Thane City DOI:  https://doi.org/10.30564/jees.v4i2.4995 Abstract Climate change is the most important factor to increase in short-duration high-intensity rainfall and consequent flooding. Intensity-DurationFrequency (IDF) curves are commonly used tools in Stormwater design, so a method to derive future IDF curves including climate change effect could be necessary for the mainstreaming climate change information into storm water planning. The objective of the present study is to define a mechanism to reflect the effect of climate change into the projected rainfall IDF relationships. For this, the continuously observed hourly rainfall data from 1969 to 2018 were divided into five subgroups. Then the IDF curve of each subgroup is defined. The rainfall intensity for the next 30 years was then estimated using a linear regression model. The obtained result indicates that for the same duratio...

Rainfall Estimation using Image Processing and Regression Model on DWR Rainfall Product for Delhi-NCR Region DOI:  https://doi.org/10.30564/jasr.v3i1.1859 Abstract Observed rainfall is a very essential parameter for the analysis of rainfall, day to day weather forecast and its validation. The observed rainfall data is only available from five observatories of IMD; while no rainfall data is available at various important locations in and around Delhi-NCR. However, the 24-hour rainfall data observed by Doppler Weather Radar (DWR) for entire Delhi and surrounding region (up to 150 km) is readily available in a pictorial form.  In this paper, efforts have been made to derive/estimate the rainfall at desired locations using DWR hydrological products. Firstly, the rainfall at desired locations has been estimated from the precipitation accumulation product (PAC) of the DWR using image processing in Python language. After this, a linear regression model using the least square method h...

Projected Rainfall Intensity Duration Frequency Relationships under Climate Change: A Case Study Thane City DOI:  https://doi.org/10.30564/jees.v4i2.4995 Keywords:  Climate change, Rainfall analysis, Projected IDF relationships, IDF curves, Thane city Abstract Climate change is the most important factor to increase in short-duration high-intensity rainfall and consequent flooding. Intensity-DurationFrequency (IDF) curves are commonly used tools in Stormwater design, so a method to derive future IDF curves including climate change effect could be necessary for the mainstreaming climate change information into storm water planning. The objective of the present study is to define a mechanism to reflect the effect of climate change into the projected rainfall IDF relationships. For this, the continuously observed hourly rainfall data from 1969 to 2018 were divided into five subgroups. Then the IDF curve of each subgroup is defined. The rainfall intensity for the next 30 years was ...

Projected Rainfall Intensity Duration Frequency Relationships under Climate Change: A Case Study Thane City S. S. Pujari (Veermata Jijabai Technological Institute, Civil and Environmental Engineering Department, Mumbai, Maharashtra, 400019, India) A. S. Wayal (Veermata Jijabai Technological Institute, Civil and Environmental Engineering Department, Mumbai, Maharashtra, 400019, India) Article ID:  4995 DOI:  https://doi.org/10.30564/jees.v4i2.4995 Abstract Climate change is the most important factor to increase in short-duration high-intensity rainfall and consequent flooding. Intensity-DurationFrequency (IDF) curves are commonly used tools in Stormwater design, so a method to derive future IDF curves including climate change effect could be necessary for the mainstreaming climate change information into storm water planning. The objective of the present study is to define a mechanism to reflect the effect of climate change into the projected rainfall IDF relationships. For thi...

Projected Rainfall Intensity Duration Frequency Relationships under Climate Change: A Case Study Thane City DOI:  https://doi.org/10.30564/jees.v4i2.4995 Abstract Climate change is the most important factor to increase in short-duration high-intensity rainfall and consequent flooding. Intensity-DurationFrequency (IDF) curves are commonly used tools in Stormwater design, so a method to derive future IDF curves including climate change effect could be necessary for the mainstreaming climate change information into storm water planning. The objective of the present study is to define a mechanism to reflect the effect of climate change into the projected rainfall IDF relationships. For this, the continuously observed hourly rainfall data from 1969 to 2018 were divided into five subgroups. Then the IDF curve of each subgroup is defined. The rainfall intensity for the next 30 years was then estimated using a linear regression model. The obtained result indicates that for the same duratio...

Rainfall Estimation using Image Processing and Regression Model on DWR Rainfall Product for Delhi-NCR Region DOI:  https://doi.org/10.30564/jasr.v3i1.1859 Abstract Observed rainfall is a very essential parameter for the analysis of rainfall, day to day weather forecast and its validation. The observed rainfall data is only available from five observatories of IMD; while no rainfall data is available at various important locations in and around Delhi-NCR. However, the 24-hour rainfall data observed by Doppler Weather Radar (DWR) for entire Delhi and surrounding region (up to 150 km) is readily available in a pictorial form.  In this paper, efforts have been made to derive/estimate the rainfall at desired locations using DWR hydrological products. Firstly, the rainfall at desired locations has been estimated from the precipitation accumulation product (PAC) of the DWR using image processing in Python language. After this, a linear regression model using the least square method h...