Abstract
This paper presents a real-time decision support system (DSS) which is a comprehensive computerized information system for water resource management in the wake of climate change. With the integration of geographical information system (GIS), remote sensing and hydrological modeling, a comprehensive and efficient tool which can improve the quality of decisions taken in river water management is presented and demonstrated. The basic concepts and data processing adopted in developing the DSS are outlined, and the hydrological model working is described. It is demonstrated that the DSS developed provides an efficient and effective tool for decision-making purposes in river water systems management and dealing with hydrological dynamics in the event of climate change.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Haberlandt, U.: From hydrological modeling to decision support. Adv. Geosci. 27, 11–19 (2010)
Huang, C., Nan, Z., Ge, Y., Li, X.: A decision support system for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China. Environ. Model. Softw. 47, 182–192 (2013)
Nepal, S.: Impacts of climate change on the hydrological regime of the Koshi river basin in the Himalayan region. J. Hydro-environ. Res. 10, 76–89 (2016)
Ragab, R., Prudhomme, C.: Climate change and water resources management in arid and semi-arid regions: prospective and challenges for the 21st century. Biosyst. Eng. 81, 3–34 (2002)
Liu, T., Tung, C.P., Ke, K.Y., Chuang, L.H., Lin, C.Y.: Application and development of a decision-support system for assessing water shortage and allocation with climate change. Paddy Water Environ 7, 301–311 (2009)
Al-Abed, N., Abdulla, F., Khyarah, A.: Abu: GIS-hydrological models for managing water resources in the Zarqa River basin. Environ. Geol. 47, 405–411 (2005)
Singh, P., Thakur, J.K., Singh, U.C.: Morphometric analysis of Morar River Basin, Madhya Pradesh, India, using remote sensing and GIS techniques. Environ. Earth Sci. 68, 1967–1977 (2013)
Giardino, C., Bresciani, M., Villa, P., Martinelli, A.: Application of remote sensing in water resource management: the case study of Lake Trasimeno, Italy. Water Resour. Manag. 24, 3885–3899 (2010)
Choudhari, K., Panigrahi, B., Paul, J.C.: Simulation of rainfall-runoff process using HEC-HMS model for Balijore Nala watershed, Odisha, India. Int. J. Geomat. Geosci. 5, 253–265 (2014)
Bhatt, D., Mall, R.K.: Surface water resources, climate change and simulation modeling. Aquatic Procedia 4, 730–738 (2015)
Dolcine, L., Prévil, C., Brham, A., Ahluwalia, H., Menaoui, El.: Inflow modeling and reservoir management in Souss-Massa application of satellite remote sensing to support water resources management in Africa, vol. 7, pp. 43–55. Technical Documents in Hydrology, UNESCO, Paris TIGER Initiative (2010)
Rao, K.H.V.D., Bhanumurthy, V., Roy, P.S.: Application of satellite—based rainfall products and SRTM DEM in hydrological modelling of Brahmaputra Basin. J. Indian Soc. Remote Sens. 37, 587–600 (2009)
Yener, M.K., Şorman, A.Ü., Şorman, A.A., Şensoy, A, Gezgin, T.: Modeling studies with HEC-HMS and runoff scenarios in Yuvacik Basin, Turkiye. International Congress on River Basin Management, pp. 621–634 (2009)
Jain, S.K., Goswami, A., Saraf, A.K: Assessment of snowmelt runoff using remote sensing and effect of climate change on runoff. Water Resour. Manag. 24, 1763–1777 (2010)
Gupta, A., Singh, P., Singh, M.: Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques. Egypt. J. Remote Sens. Space Sci. 17, 111–121 (2014)
Hydrologic Engineering Center. http://www.hec.usace.army.mil
Zhang, X., Srinivasan, R., Zhao, K., Liew, M.V.: Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model. J. Hydrol. Eng. 19, 1374–1384 (2014)
Jain, S.K., Kumar, V.: Trend analysis of rainfall and temperature data for India. Curr. Sci. 102, 37–49 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Vyas, A., John, S. (2017). Developing a Real-Time Decision Support System in the Wake of Climate Change. In: Garg, V., Singh, V., Raj, V. (eds) Development of Water Resources in India. Water Science and Technology Library, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-55125-8_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-55125-8_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-55124-1
Online ISBN: 978-3-319-55125-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)