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Institut für Wasser- und Umweltsystemmodellierung - IWS



"Water balance modelling for meso-scale catchments under data limited conditions"

Water balance models are very useful in water resources management and environmental planning. Many water balance models have been developed for different catchments. Most of them require the data availability to be in detail to a certain degree. Yet, this may not be available for some catchments. In many cases, catchments have the data only with lower temporal resolution than required by a specific model. In this study a monthly water balance model will be run for meso-scale catchments under data limited conditions. The objective is to run the existing HBV-IWS conceptual semi-distributed hydrological model for data limited catchments and enhance it according to its performance to such conditions. Data for the catchments to be tested will be collected mostly from global information sources. The target area for this study is the catchment of the river Chirchik, located in Uzbekistan which is one of the main tributaries of the River Syrdarya, second largest river in Central Asia that flows into Aral Sea. The selected catchment covers an area of 15300 km². The Neckar basin located in south part of Germany with its 13000 km² of catchment area will be used as control area. Here, a modeling using global and detailed local data will be performed. This test can provide information on the quality of the global data based models. Different hydrological models were already developed and tested in this basin. The model will first be calibrated for monthly time steps, since the data is available in monthly temporal resolution through global information sources. As a second step, monthly data will be disaggregated into weekly and daily temporal resolution to check the performance of the model with higher temporal resolution data. The best method for disaggregating of the data will be chosen for the model. The model will be calibrated to find the most suitable parameters for a certain catchment under both monthly and disaggregated data conditions. Geographical Information System (GIS) is to be used in this study for model parameterization and assignment of spatially variable input data. The developed model will be as simple as possible by keeping its parameters to a minimum. The following steps will be accomplished in this study:
  1. Data collection
  2. Review of existing water balance models
  3. Application of the HBV-IWS model for the 2 catchments
  4. Enhancement of the model
  5. Application of the existing hydrological model for the Neckar basin with different input data
  6. Comparison of the results (3-6)
  7. Description of the work in the form of a report