Abstract Views :180 |
PDF Views:121
Authors
Affiliations
1 Department of Civil Engineering, MNIT, Jaipur-302017, IN
Source
International Journal of Earth Sciences and Engineering, Vol 10, No 1 (2017), Pagination: 62-74
Abstract
In recent years, climatic change is one of the major concerns of the society. Long term variation in meteorological parameters at a location indicates climate change. Anthropogenic activities arising from land use land cover change are one of the causative factors of climate change in addition to other factors like gaseous pollution. The effects of climate change are more pronounced at local and regional level as compared to global level. Further, urban areas are more susceptible for climate change due to more anthropogenic activities, conversion of pervious areas into impervious areas, more vehicular pollution and industrialization. Climate change is being assessed through trend analysis of presentative meteorological variables like detection and trend analysis of temperature anomalies. In recent past more emphasis has been given to discuss the role of gaseous pollution in climate change. However, still relative contribution or role of human driven anthropogenic activities in climate change like impact of land use land cover change on climate has not been understood well. Urban areas are the hub of such activities leading to more climate change which means large population is under risk of adverse climate change effects. Delhi, capital of India in the National capital Region (NCR) is one of the largest city in the world have undergone drastic land use land cover change in recent decades. Therefore, climate change assessment through trend analysis of representative climatic parameter like temperature is more important at local scale especially for urban areas. Presented work is aimed to assess the possible climate change in Delhi through trend analysis of temperature anomalies at different temporal scales such as annual and seasonal level. The Mann-Kendall, Modified Mann-Kendall test and other statistical techniques were used for detection of trend and shift in temperature anomalies. The results of the study show significant increasing trends in temperature at different temporal resolutions, which indicates possible climate change.
Keywords
Climate Change, Temperature, Extreme Event, Mann-Kendall Test, Temporal Scales, Regional Scale.
Full Text