DSS (DECISION SUPPORT SYSTEM) FOR URBAN WATER MANAGEMENT WITH CLIMATE CONSIDERATION

Abstract

To find out the water demand and problems in supplying that in the near future is a big problem, as in the urban areas like Dehradun, which is a decade old state capital, the change in Landuse/ Landcover pattern has been very rapid. The built up area is increasing day by day which is effecting the hydrological cycle of the district. Change in climate is also becoming a major factor to effect the hydrological cycle of the district. In the present study a scientific approach is used to propose the coming problems regarding water in the city and probable places where it will most likely to happen in the city. Different thematic layers required to study the city and nearby area of the city, such as landuse/ landcover, past and present population density, have been prepared in a Geographic Information System enviroment using high resolution digital data of LAN DSAT satellite amalgamated with field data. By studying these maps one can propose the high water demand area in the near future by considering some factors, such as distance from the city, topographic slopes, landuse/lancover, present population density, existing water supply etc. Population of the city is also forecasted as per last three decades census data to have an idea of the demand of water in the near future and problems which will arise to compete that challenge. In addition a trend is made using the precipitation and temperature data of 1901 to 2002 years data from indian Meteorological Department(IMD). Auto Regressive Integrated Moving Average(ARIMA) model is used to predict a trend between precipitation and temperature with graphical approach and analytical approach both. To assemble all the data at one place and to make it easy to use, Visual Basic 6.0 is used to make a model which is an user friendly platform. Analytical data, graphical data of precipitation and temperature, thematic maps, forecasted population and demand data is placed in the model so that one can see all the things at one place to make out decision regarding the future water problems