About Me |
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I have completed PhD from IIT Kharagpur. My Ph.D. dissertation is on Yield Gap Assessment of Rice Cropping System in Major Rice Growing States of India under Present and Future Climatic Conditions. I have completed M.Tech in Land and Water Resources Engineering from IIT Kharagpur and B.Tech in Agricultural Engineering from Uttarbanga Krishi Viswavidyalaya. |
Till now, I have worked on sensitivity analysis of different Evapotranspiration methods and yield gap assessment in India.
Sl. No. | Title | Issuer |
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1 | Travel grant for attending ASABE Annual International Meeting, Spokane, USA (2017) | IIT Kharagpur |
2 | Travel grant for attending AGU Fall Meeting, Washington DC, USA (2018) | IIT Kharagpur |
This paper analyzes the sensitivity of reference evapotranspiration (ETo) to climatic variables for different agro-ecological regions of India: semi-arid (Kovilpatti and Parbhani), humid (Mohanpur), and sub-humid (Ludhiana and Ranichauri). The FAO-56 Penman-Monteith (FAO-56 PM) method is used to estimate ETo, and sensitivity of ETo has been studied in terms of change in maximum air temperature (Tmax), minimum air temperature (Tmin), solar radiation (Rs), average relative humidity (RHavg), and wind speed (Ws). Sensitivity analysis is performed by increasing and decreasing the climate variables such as Tmax, Tmin, Rs, and RHavg by one unit of increment and decrement, respectively, up to five units (except for Ws) while keeping the other variables and parameters constant. However, wind speed Ws (km h-1) is only increased with an increment of one km h-1 up to five km h-1. The results showed that the change in ETo is linearly related to change in all climate variables (r2=0.97 in most cases) at all sites. Further, ETo is most sensitive to Rs at Kovilpatti, Mohanpur and Ranichauri, and to Ws at Ludhiana and Parbhani. However, the sensitivity of ETo to the same variable shows considerable variation from site to site and at the same site within the year. ETo is less sensitive to RHavg followed by Tmin at all sites.
Rice crop production needs to be increased to meet the food demand of the growing global population by utilizing the limited available resources. Reducing yield gap between potential and actual farmers’ yields could be one of the promising options for increasing rice production. In order to quantify the yield gap of rice, field experiments were conducted at two different locations in the Lower Gangetic Plains. Decision Support System for Agro-technology Transfer model was used to quantify potential yield for analyzing the attainable yield gaps with respect to water limitation, agronomic managements, difference in transplanting dates and soil variability. The results showed that an attainable average yield gap of 0.33 t/ha in rainfed condition existed in farmers’ fields due to rice transplantation after 30th July, whereas the use of supplementary irrigations produced an average attainable yield gap of 0.86 t/ha in irrigated condition. Poor agronomic practices adopted by farmers may be causing the reduction in average yield of 0.29 t/ha. The yield gap due to different transplanting dates and agronomic managements suggested to identify yield optimum transplanting date of a cultivar and appropriate agronomic management strategy to reduce the yield gap. The soil variability contributed very less attainable yield gap (0.02–0.16 and 0.02–0.19 t/ha for rainfed and rainfed with subsequent irrigation, respectively), than other factors because of similar type of soil at the study sites. Results also suggested that farmers should emphasize more on management strategies such as quantity of N-fertilizers, timing of fertilizer applications, supplementary irrigation and transplanting date that might reduce the yield gap.
Precise estimation of reference evapotranspiration (ETo) plays an important role in crop water requirement studies whereas sensitivity analysis of climatic variables for estimation of ETo plays a key role in irrigation and water management. In the present study, ETo was estimated by using FAO56-Penman-Monteith method. Additionally, impact of climate variables in the ETo estimation was assessed by sensitivity analysis under open field condition as well as four different protected cultivation structures viz. poly house, polytunnel, shade net house, and shadow hall. Results indicate that ETo is maximum for open field condition and minimum for polyhouse. The sensitivity analysis results revealed that solar radiation is the most sensitive input variable for ETo estimated by using FAO-Penman-Monteith method wind speed is least sensitive for all structures and open field conditions.
This study presents the various ingenious ways of traditional irrigation systems, which have been designed and implemented regionally or locally by Indian farmers for about 5000 years. The three common forms of irrigation systems found in India are water channels, wells and tanks. The design of these systems is mainly based on the availability of water source, climate, topography and location characteristics. Therefore, the nomenclature of these irrigation systems differ from one place to other. India had a rich history in using these traditional irrigation systems long ago, but this tradition is now waning due to various reasons, such as British colonial rule, shifting away from community based systems, and nature’s fury like floods, droughts, famine, and hurricanes. Further, many of these systems are becoming extinct due to the modern irrigation systems that have been subsidized by the government in recent years. However, some of the systems, like Arhar-pyne, Haveli, Flood/Inundation, Bamboo irrigation, Apatani, Surangam, Eri, Bavdis, Cheruvu, etc., are continuing to irrigate substantial areas even today, which shows their superior design and construction over many mega irrigation structures. Therefore, before concentrating on promoting new technologies, it is appropriate and even necessary to respect the existing physical structures of irrigation systems.
The rapid population growth along with industrialisation led to overuse of fresh water resources and consequently reduce groundwater levels. Rapid urbanization has led to less infiltration of rainfall and groundwater recharge potential has diminished (Ibrahim, 2009). Therefore, assessment of water resources potential (ie quantification of utilizable surface and ground water resources) is crucial for optimizing water allocation in different sectors including agriculture (Dash et al., 2020).