Development and application of a priority rated optimization model (PROM) for multi-sector water resource management systems

Abstract We present a new Priority Rated Optimization Model (PROM) for multi-sector water resource assessment, allocation and management. PROM utilizes flow duration curves (FDC), demand-to-supply ratio (DSR) and utility indices (UI) to evaluate and optimize priority based multi-sector water allocation. DSR links demand volume and priority with corresponding supply volume and likelihood derived from segmentation of FDC. The UI function assigns weights to ranges of DSR to assess the existing and potential alternative management scenarios. Supply reliability and UI values are used in a combinatorial optimization scheme to estimate allocated volume, flow rate and percent exceedance. PROM is applied in the Mara River Basin of Kenya/Tanzania, and results showed potential improvement over the current management practice towards sustainability of the Mara-Serengeti ecosystem. PROM bridges the gap between environmental and economic models while providing a user-friendly platform for direct stakeholder involvement to explore alternative water allocation scenarios.

[1]  Shimelis B. Dessu,et al.  Modelling the rainfall–runoff process of the Mara River basin using the Soil and Water Assessment Tool , 2012 .

[2]  Ian G. Cowx,et al.  The changing role of ecohydrological science in guiding environmental flows , 2014 .

[3]  J. Ogutu,et al.  Continuing wildlife population declines and range contraction in the Mara region of Kenya during 1977-2009 , 2011 .

[4]  Richard M. Shane,et al.  RIVERWARE: A GENERALIZED TOOL FOR COMPLEX RESERVOIR SYSTEM MODELING 1 , 2001 .

[5]  J. King,et al.  Integrated basin flow assessments: concepts and method development in Africa and South‐east Asia , 2010 .

[6]  J. K. Lenstra,et al.  Local Search in Combinatorial Optimisation. , 1997 .

[7]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[8]  Tracy Nishikawa,et al.  Water-Resources Optimization Model for Santa Barbara, California , 1998 .

[9]  Omid Bozorg Haddad,et al.  Optimizing Irrigation Water Allocation and Multicrop Planning Using Discrete PSO Algorithm , 2012 .

[10]  Gordon C. O'Brien,et al.  A regional-scale ecological risk framework for environmental flow evaluations , 2017 .

[11]  N. LeRoy Poff,et al.  The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards , 2007 .

[12]  Mukand S. Babel,et al.  A Model for Optimal Allocation of Water to Competing Demands , 2005 .

[13]  Ronald C. Griffin,et al.  Water Resource Economics: The Analysis of Scarcity, Policies, and Projects , 2005 .

[14]  Bernhard Korte,et al.  Combinatorial Optimization , 1992, NATO ASI Series.

[16]  Andrew J. Draper,et al.  Economic-engineering optimization for California water management , 2003 .

[17]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[18]  Hoshin Vijai Gupta,et al.  A process‐based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model , 2008 .

[19]  David Yates,et al.  WEAP21—A Demand-, Priority-, and Preference-Driven Water Planning Model , 2005 .

[20]  J. King,et al.  A scenario‐based holistic approach to environmental flow assessments for rivers , 2003 .

[21]  Shimelis B. Dessu,et al.  Comparing flow regime, channel hydraulics, and biological communities to infer flow–ecology relationships in the Mara River of Kenya and Tanzania , 2014 .

[22]  Richard M. Vogel,et al.  Flow‐Duration Curves. I: New Interpretation and Confidence Intervals , 1994 .

[23]  M. Norton-Griffiths Property rights and the marginal wildebeest: an economic analysis of wildlife conservation options in Kenya , 1996, Biodiversity & Conservation.

[24]  Mike Acreman,et al.  Defining environmental river flow requirements ? a review , 2004 .

[25]  Richard M. Vogel,et al.  Flow duration curves II : a review of applications in water resources planning , 1995 .

[26]  E. Wolanski,et al.  Wildlife-water quality interactions in the Serengeti National Park, Tanzania , 1998 .

[27]  Roger Jones,et al.  Regional climate projections , 2007 .

[28]  Matthew P. McCartney,et al.  Estimation of environmental flows in the Great Ruaha River Catchment, Tanzania , 2006 .

[29]  J. King,et al.  Instream flow assessments for regulated rivers in South Africa using the Building Block Methodology , 1998 .

[30]  Peter H. Gleick,et al.  Comprehensive Assessment of the Freshwater Resources of the World , 1997 .

[31]  John W. Labadie,et al.  Decision Support System for Conjunctive Stream-Aquifer Management , 1998 .

[32]  Juan Reca,et al.  Optimisation model for water allocation in deficit irrigation systems: I. Description of the model , 2001 .

[33]  Shimelis B. Dessu,et al.  Assessment of water resources availability and demand in the Mara River Basin , 2014 .

[34]  B J C Perera,et al.  Computer software tool REALM for sustainable water allocation and management. , 2005, Journal of environmental management.

[35]  R. Reid,et al.  Expansion of human settlement in Kenya's Maasai Mara: what future for pastoralism and wildlife? , 2004 .

[36]  L. Ribbe,et al.  Water Demand Simulation Using WEAP 21: A Case Study of the Mara River Basin, Kenya , 2018 .

[37]  R. Tharme A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers , 2003 .