Browsing by Author "Kripan Ghosh"

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Application of CERES-sorghum crop simulation model DSSAT v4.7 for determining crop water stress in crop phenological stages
(Springer Science and Business Media Deutschland GmbH, 2022) G.B. Gohain; K.K. Singh; R.S. Singh; K.K. Dakhore; Kripan Ghosh
The water requirement of the crop is an important phenomenon to estimate the crop yield and understanding the crop water necessity at different crop phenological stages as soil and plant water deficits cause yield reduction. The most crucial crop stages that dictate crop yield are at the vegetative and reproductive stages, reducing the crop yield by more than 35% and 50%, respectively. Our study is to determine the crop water stress using the Crop Environmental Resource Synthesis (CERES)-Sorghum model, which is a component of the Decision Support System for Agrotechnology Transfer (DSSAT)—crop simulation model (CSM). Crop water stress is simulated spatially for Rainfed Kharif Sorghum (Sorghum bicolor (L.) Moench) in 10 districts of Maharashtra state, India, from 2000 to 2018 using DSSAT-CSM. Besides other factors as well that impact crop yield, rainfall also has an impact on crop growth, development, and managing water efficiency for the crops. Simulated crop water stress above a specific threshold value of ≥ 0.5 (50%) impacts crop growth and development process. Considering the drought year 2015 with sowing dates June (15, 22, 29) and July (6, 15); it shows that late sowing of kharif sorghum for 2015 minimal crop water stress can be seen. CERES-Sorghum model can efficiently determine the crop water stress at different crop phenological stages with different dates of sowing. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Long-Term Spatiotemporal Investigation of Various Rainfall Intensities over Central India Using EO Datasets
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Nitesh Awasthi; Jayant Nath Tripathi; George P. Petropoulos; Pradeep Kumar; Abhay Kumar Singh; Kailas Kamaji Dakhore; Kripan Ghosh; Dileep Kumar Gupta; Prashant K. Srivastava; Kleomenis Kalogeropoulos; Sartajvir Singh; Dhiraj Kumar Singh
This study involved an investigation of the long-term seasonal rainfall patterns in central India at the district level during the period from 1991 to 2020, including various aspects such as the spatiotemporal seasonal trend of rainfall patterns, rainfall variability, trends of rainy days with different intensities, decadal percentage deviation in long-term rainfall patterns, and decadal percentage deviation in rainfall events along with their respective intensities. The central region of India was meticulously divided into distinct subparts, namely, Gujarat, Daman and Diu, Maharashtra, Goa, Dadra and Nagar Haveli, Madhya Pradesh, Chhattisgarh, and Odisha. The experimental outcomes represented the disparities in rainfall distribution across different districts of central India with the spatial distribution of mean rainfall ranges during winter (2.08 mm over Dadra and Nagar Haveli with an average of 24.19 mm over Odisha), premonsoon (6.65 mm over Gujarat to 132.89 mm over Odisha), monsoon (845.46 mm over Gujarat to 3188.21 mm over Goa), and post-monsoon (30.35 mm over Gujarat to 213.87 mm over Goa), respectively. Almost all the districts of central India displayed an uneven pattern in the percentage deviation of seasonal rainfall in all three decades for all seasons, which indicates the seasonal rainfall variability over the last 30 years. A noticeable variation in the percentage deviation of seasonal rainfall patterns has been observed in the following districts: Rewa, Puri, Anuppur, Ahmadabad, Navsari, Chhindwara, Devbhumi Dwarka, Amreli, Panch Mahals, Kolhapur, Kandhamal, Ratnagiri, Porbandar, Bametara, and Sabar Kantha. In addition, a larger number of rainy days of various categories occurred in the monsoon season in comparison to other seasons. A higher contribution of trace rainfall events was found in the winter season. The highest contributions of very light, light rainfall, moderate, rather high, and high events were found in the monsoon season in central India. The percentage of various categories of rainfall events has decreased over the last two decades (2001–2020) in comparison to the third decade (1991–2000), according to the mean number of rainfall events in the last 30 years. This spatiotemporal analysis provides valuable insights into the rainfall trends in central India, which represent regional disparities and the potential challenges impacted by climate patterns. This study contributes to our understanding of the changing rainfall dynamics and offers crucial information for effective water resource management in the region. © 2024 by the authors.