The aim of this paper is to develop a methodology for estimating flood risk, considering Noida as a case study. This paper examines the impact of different methods for estimating impervious surface cover on the prediction of peak discharges as determined by a fully distributed rainfall-runoff model (WetSpa). The study of River Yamuna and Hindon basin area shows detailed information on the spatial distribution of impervious surfaces, as obtained/calibrated from remotely sensed data.

Over the recent past, Geographical Indications (GIs) have emerged as a significant form of intellectual property rights in the Indian context. In view of the commercial potential of handicrafts, adequate legal measures of GIs becomes necessary to prevent their unauthorized utilization.

Original Source

Water is a prime natural resource, a basic human need and precious natural asset. Surface runoff is the major source for all the major source for all the surface water bodies such as tanks and reservoirs. The dependable assessment of runoff is scarcely available in few selected locations. In the present study, Soil Conservation Service Curve Number (SCS-CN) method has been applied to assess the runoff for Nambiyar sub-watershed of Thamiravaruni River Basin, Tirunelveli District, Tamil Nadu.