Detection and attribution of non-stationarity in intensity and frequency of daily and 4-h extreme rainfall of Hyderabad, India

Author:

Agilan V.,Umamahesh N.V.

Funder

Information Technology Research Academy

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference66 articles.

1. Agilan, V., Umamahesh, N.V., 2015. Effect of el Niño-southern oscillation (ENSO) cycle on extreme rainfall events of Indian urban area. In: Vellore, Proceedings of International Conference on Sustainable Energy and Built Environment, pp. 569–573.

2. Global observed changes in daily climate extremes of temperature and precipitation;Alexander;J. Geophys. Res.,2006

3. Constraints on future changes in climate and the hydrologic cycle;Allen;Nature,2002

4. A Land Use and Land Cover Classification System for Use with Remote Sensor Data, Geological Survey Professional Paper 964;Anderson,2001

5. Avei, M., Akyurek, Z., 2004. A Hierarchical Classification of Landsat TM Imagery for Landcover Mapping. Istanbul, Turkey, IAPRS, ISSN 1682-1750.

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