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Application of weather generator for environmental parameters estimation for upper indus basin

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Author(s): Shafiq Anwar | Bofu Yu | Ghulam Nabi

Journal: Soil & Environment
ISSN 2074-9546

Volume: 31;
Issue: 1;
Start page: 11;
Date: 2012;
Original page

Keywords: Weather Generator | LARS-WG | F-test | T-test | Climate parameters | stochastic model

ABSTRACT
The major source of water for Indus basin is snowmelt runoff from the northern areas of Pakistan. The agricultural and hydropower is mainly dependent on the snowmelt runoff. The temperature is the major parameter responsible for the snowmelt and precipitation is source of snowfall and rainfall runoff. For better management and planning of water resources of the country, the prediction of environmental parameters is of great important. The stochastic model is used for generation of weather parameters. The LARS-WG model was applied in northern areas for prediction of minimum, maximum parameter and rainfall. The model was tested using different statistical tests such as F-test, T-test, Mann-Whitney test and Levene's test for climate parameters assessment on different time scales. This attempt was made first time in Pakistan, and it will help the researcher to use stochastic techniques effectively for planning and management of water resources in the country.
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