World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Socio-hydrologic Modeling to Understand and Mediate the Competition for Water Between Agriculture Development and Environmental Health: Murrumbidgee River Basin, Australia : Volume 18, Issue 10 (29/10/2014)

By Van Emmerik, T. H. M.

Click here to view

Book Id: WPLBN0004011257
Format Type: PDF Article :
File Size: Pages 21
Reproduction Date: 2015

Title: Socio-hydrologic Modeling to Understand and Mediate the Competition for Water Between Agriculture Development and Environmental Health: Murrumbidgee River Basin, Australia : Volume 18, Issue 10 (29/10/2014)  
Author: Van Emmerik, T. H. M.
Volume: Vol. 18, Issue 10
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

G. Savenij, H. H., Sivapalan, M., Pande, S., Li, Z., Chanan, A., Kandasamy, J.,...Vigneswaran, S. (2014). Socio-hydrologic Modeling to Understand and Mediate the Competition for Water Between Agriculture Development and Environmental Health: Murrumbidgee River Basin, Australia : Volume 18, Issue 10 (29/10/2014). Retrieved from http://hawaiilibrary.net/


Description
Description: Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands. Competition for water between humans and ecosystems is set to become a flash point in the coming decades in many parts of the world. An entirely new and comprehensive quantitative framework is needed to establish a holistic understanding of that competition, thereby enabling the development of effective mediation strategies. This paper presents a modeling study centered on the Murrumbidgee River basin (MRB). The MRB has witnessed a unique system dynamics over the last 100 years as a result of interactions between patterns of water management and climate driven hydrological variability. Data analysis has revealed a pendulum swing between agricultural development and restoration of environmental health and ecosystem services over different stages of basin-scale water resource development. A parsimonious, stylized, quasi-distributed coupled socio-hydrologic system model that simulates the two-way coupling between human and hydrological systems of the MRB is used to mimic and explain dominant features of the pendulum swing. The model consists of coupled nonlinear ordinary differential equations that describe the interaction between five state variables that govern the co-evolution: reservoir storage, irrigated area, human population, ecosystem health, and environmental awareness. The model simulations track the propagation of the external climatic and socio-economic drivers through this coupled, complex system to the emergence of the pendulum swing. The model results point to a competition between human productive and environmental restorative forces that underpin the pendulum swing. Both the forces are endogenous, i.e., generated by the system dynamics in response to external drivers and mediated by humans through technology change and environmental awareness, respectively. Sensitivity analysis carried out with the model further reveals that socio-hydrologic modeling can be used as a tool to explain or gain insight into observed co-evolutionary dynamics of diverse human–water coupled systems. This paper therefore contributes to the ultimate development of a generic modeling framework that can be applied to human–water coupled systems in different climatic and socio-economic settings.

Summary
Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River basin, Australia

Excerpt
ABC: Australian Broadcasting Commission: Angry crowd burns copy of Murray-Darling report, available at: http://www.abc.net.au/news/2010-10-13/angry-crowd-burns-copy-of-murray-darling-report/2296638 (last access: February 2014), 2010.; ABS: Australian Yearbook, Australian Bureau of Statistics, available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf (last access: May 2013), 2013a.; ABS: Australian Bureau of Statistics, available at: http://www.abs.gov.au/ (last access: May 2013), 2013b.; Arkesteijn, L. and Pande, S.: On hydrological model complexity, its geometrical interpretations and prediction uncertainty, Water Resour. Res., 49, 7048–7063, doi:10.1002/wrcr.20529, 2013.; Bois, B. P., Van Leeuwen, C., Wald, L., Huard, F., Gaudillere, J.-P., and Saur, E.: Using remotely sensed solar radiation data for reference evapotranspiration estimation at a daily time step, Agr. Forest Meteorol., 148, 619–630, 2008.; Chen, H. and Li, M.: Environmental tax policy, habit formation and nonlinear dynamics, Nonlinear Anal.-Real., 12, 246–253, 2011.; Crutzen, P. J. and Stoemer, E. F.: The Anthropocene, Global Change Newsletter, 41, 17–18, 2000.; Cuypers, J. G. M. and Rademaker, O.: An analysis of Forrester's World Dynamics Model, Automatica, 10, 195–201, 1974.; Davies, E. G. R. and Simonovic, S. P.: Global water resources modeling with an integrated model of the social-economic-environmental system, Adv. Water Resour., 34, 684–700, 2011.; Di Baldassarre, G., Kooy, M., Kemerink, J. S., and Brandimarte, L.: Towards understanding the dynamic behaviour of floodplains as human-water systems, Hydrol. Earth Syst. Sci., 17, 3235–3244, doi:10.5194/hess-17-3235-2013, 2013a.; Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Salinas, J. L., and Blöschl, G.: Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295–3303, doi:10.5194/hess-17-3295-2013, 2013b.; DWR: Water distribution operations in irrigation areas and districts of NSW, New South Wales Department of Water Resources, Gutteridge, Haskins & Davey, Sydney, 1989.; Eicher, T. S.: Interaction between endogenosu human capital and technological change, Rev. Econ. Stud., 63, 127–144, 1996.; Elshafei, Y., Sivapalan, M., Tonts, M., and Hipsey, M. R.: A prototype framework for models of socio-hydrology: identification of key feedback loops and parameterisation approach, Hydrol. Earth Syst. Sci., 18, 2141–2166, doi:10.5194/hess-18-2141-2014, 2014.; Falkenmark, M. and Lannerstad, M.: Consumptive water use to feed humanity – curing a blind spot, Hydrol. Earth Syst. Sci., 9, 15–28, doi:10.5194/hess-9-15-2005, 2005.; Fedotov, S., Moss, D., and Campos, D.: Stochastic model for population migration and the growth of human settlements during the Neolithic transition. Phys. Rev. E, 78, 026107, doi:10.1103/PhysRevE.78.026107, 2008.; Fenicia, F., Savenije, H. H. G., Matgen, P., and Pfister, L.: Understanding catchment behavior through stepwise model concept improvement, Water Resour. Res., 44, W01402, doi:10.1029/2006WR005563, 2008.; Forrester, J. W.: World Dynamics, Wright-Allen, Cambridge, Massachusetts, 1971.; Gleick, P. H. and Palaniappan, M.: Peak water limits to freshwater withdrawal and use, Proc. Natl. Acad. Sci., 107, 11155–11162, 2010.; Gorman, E.: Growing rice on the Murrumbidgee River

 

Click To View

Additional Books


  • Cosmos: the Cosmic-ray Soil Moisture Obs... (by )
  • Soil Parameters Estimation Over Bare Agr... (by )
  • Climate-vegetation-soil Interactions and... (by )
  • Multi-criteria Calibration of a Conceptu... (by )
  • Application of Fuzzy Representation of G... (by )
  • The Impact of Broadleaved Woodland on Wa... (by )
  • Thermal Remote Sensing from Airborne Hyp... (by )
  • Deriving Global Flood Hazard Maps of Flu... (by )
  • Time-series of Tritium, Stable Isotopes ... (by )
  • Water Harvest- and Storage- Location Ass... (by )
  • Evaluating the Effect of Partial Contrib... (by )
  • Seasonal Patterns of Water Storage as Si... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.