Browsing by Author "Kumar, Manish"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Identification and Mapping of Dengue Epidemics using GISBased Multi-Criteria Decision Making. The Case of Delhi, India(Journal of Settlements and Spatial Planning, 2020) Kumar, ManishItem Snow cover dynamics and geohazards: a case study of Bhilangna watershed, Uttarakhand Himalaya, India(Springer, 2016) Kumar, ManishItem Unraveling intricacies of monsoon attributesin homogenous monsoon regions of india(Frontiers in Earth Science, 2022) Saini, Atul; Sahu, Netrananda; Dhan, Weili; Kumar, Manish; Ramavtar; Mishra, Manoranjan; Kumar, Pankaj; Pandey, Rajiv; Behera, SwadhinIndia observes the summer monsoon in June–July–August–September (JJAS) season, and the livelihood security of a huge population depends on it. The impact of the monsoon onset timing, length of monsoon season, rainfall amount, and related extreme events is huge on the Indian economy. Therefore, understanding the inherent intricacies needed a detailed investigation. In five homogenous monsoon regions of India, the trend of monsoon onset and the length of monsoon season are examined. The association between 1) monsoon onset ~ rainfall amount, 2) length of monsoon season ~ rainfall amount, and 3) monsoon onset ~ length of monsoon season is investigated. Subsequently, the behavior of rainfall and extreme excess days in the ±1 standard deviation (SD) length of monsoon season is also examined in detail. The trend for monsoon onset shows late onset in all the homogenous monsoon regions except the northeast region. The length of monsoon season is found increasing significantly with high magnitude in west central and northwest regions. A significantly strong negative correlation (~−0.6) for monsoon onset timing ~ length of monsoon season is observed. Therefore, the change in rainfall anomaly, extreme excess days, and rainy days is done concerning the length of the monsoon season. In the cases of the −1 SD (+1 SD) length of monsoon season, rainfall anomaly and extreme excess days are low (high) in most parts of the homogenous monsoon regions. Extreme excess days showed a significant association with rainy days, which indicates a high possibility of rainy days converting into extreme excess days. However, the increase in extreme excess days in the +1 SD length of monsoon season is limited to a great extent in JJAS and June only. Morlet wavelet power spectrum shows the delay (advance) of power in −1SD (+1 SD) length of monsoon season.Item Urban growth dynamics and modelling using remote sensing data and multivariate statistical techniques(Current Science, 2018-05-25) Kumar, Manish