Articles | Volume 17, issue 6
https://doi.org/10.5194/hess-17-2233-2013
https://doi.org/10.5194/hess-17-2233-2013
Research article
 | 
19 Jun 2013
Research article |  | 19 Jun 2013

An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

P. D. Wagner, S. Kumar, and K. Schneider

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Cited articles

Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment – Part 1: Model development, J. Am. Water Resour. As., 34, 73–89, 1998.
Ashagrie, A. G., de Laat, P. J., de Wit, M. J., Tu, M., and Uhlenbrook, S.: Detecting the influence of land use changes on discharges and floods in the Meuse River Basin – the predictive power of a ninety-year rainfall-runoff relation?, Hydrol. Earth Syst. Sci., 10, 691–701, https://doi.org/10.5194/hess-10-691-2006, 2006.
Barthel, R., Reichenau, T. G., Krimly, T., Dabbert, S., Schneider, K., Hennicker, R., and Mauser, W.: Integrated modeling of global change impacts on agriculture and groundwater resources, Water Resour. Manag., 26, 1929–1951, 2012.
Behera, S. and Panda, R. K.: Evaluation of management alternatives for an agricultural watershed in a sub-humid subtropical region using a physical process based model, Agr. Ecosyst. Environ., 113, 62–72, 2006.
Bergström, S. and Forsman, A.: Development of a conceptual deterministic rainfall-runoff model, Nord. Hydrol., 4, 147–170, 1973.
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