Novel approaches for geospatial risk analytics in the energy-water-food nexus using an EWF nexus node

Abstract This study introduces a novel energy, water and food nexus ‘Node’ methodology which includes: (a) decentralization using GIS-based approaches; (b) development of composite geospatial risk indicators using the Analytical Hierarchy Process; and (c) assessment of resource utilization. The methodology is applied to open fields agriculture, conventional greenhouses and hydroponic greenhouses in Qatar using the following nine risk factors: temperature, humidity, solar radiation, soil quality (As and Fe concentration), groundwater depth, groundwater recharge rate, groundwater salinity and groundwater pH. The analysis concludes that the critical factors that increase risk in open field farms are weather factors, such as temperature, solar radiation and humidity, with relative weights of 0.18527, 0.16860 and 0.15785, respectively, whilst groundwater factors have the highest impact on conventional and hydroponic greenhouses. Furthermore, although hydroponic greenhouses are more efficient in terms of water consumption in comparison to open fields, they consume more energy due to cooling and desalination requirements.

[1]  A. Neef,et al.  Sustainable development and the water–energy–food nexus: A perspective on livelihoods , 2015 .

[2]  Chris I. Goodier,et al.  Concern or compliance? Drivers of urban decentralised energy initiatives , 2014 .

[3]  Rajesh Govindan,et al.  Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments , 2019, Renewable and Sustainable Energy Reviews.

[4]  Detlef P. van Vuuren,et al.  Unpacking the nexus : Different spatial scales for water, food and energy , 2018 .

[5]  T. Al‐Ansari,et al.  Sustainable energy, water and food nexus systems: A focused review of decision-making tools for efficient resource management and governance , 2019, Journal of Cleaner Production.

[6]  W. Chung,et al.  Using DEA model without input and with negative input to develop composite indicators , 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[7]  Neil Grigg,et al.  Water-food-energy nexus index to maximize the economic water and energy productivity in an optimal cropping pattern , 2017 .

[8]  Simon Parkinson,et al.  Spatial and temporal synchronization of water and energy systems: towards a single integrated optimization model for long-term resource planning , 2016 .

[9]  Gregory P. White The implementation of management science in higher education administration , 1987 .

[10]  P. Mohanty,et al.  Electricity access for geographically disadvantaged rural communities—technology and policy insights , 2004 .

[11]  Khanjan Mehta,et al.  Modes of Greenhouse Water Savings , 2016 .

[12]  D. Makowski,et al.  Agri-environmental indicators to assess cropping and farming systems. A review , 2011, Agronomy for Sustainable Development.

[13]  Jürgen-Friedrich Hake,et al.  The FEW-Nexus city index – Measuring urban resilience , 2018 .

[14]  J. Mahlknecht,et al.  Measuring the Water-Energy-Food Nexus: The Case of Latin America and the Caribbean Region , 2018, Energy Procedia.

[15]  B. Ghosh,et al.  Composite indicator of land, water and energy for measuring agricultural sustainability at micro level, Barddhaman District, West Bengal, India , 2019, Ecological Indicators.

[16]  M. Basheer,et al.  Exploring management approaches for water and energy in the data-scarce Tekeze-Atbara Basin under hydrologic uncertainty , 2019, International Journal of Water Resources Development.

[17]  N. Shah,et al.  An energy, water and food nexus approach aiming to enhance food production systems through CO2 fertilization , 2018 .

[18]  Dolf Gielen,et al.  Considering the energy, water and food nexus: Towards an integrated modelling approach , 2011 .

[20]  Alan T. Murray,et al.  Spatial Optimization in Geography , 2012 .

[21]  Angeliki N. Menegaki,et al.  Two versions of the Index of Sustainable Economic Welfare (ISEW) in the energy-growth nexus for selected Asian countries , 2018 .

[22]  D. Conway,et al.  Tracing the water-energy-food nexus: description, theory and practice , 2015 .

[23]  Anna Korre,et al.  Development of a life cycle assessment tool for the assessment of food production systems within the energy, water and food nexus , 2015 .

[24]  Monika,et al.  GIS as a tool for enhancing the optimization of demand side management in residential microgrid , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[25]  Michael Obersteiner,et al.  Woody biomass energy potential in 2050 , 2014 .

[26]  E. Bochet,et al.  Desertification indicators as diagnosis criteria for desertification risk assessment in Europe , 1998 .

[27]  J. A. Gómez-Limón,et al.  Empirical evaluation of agricultural sustainability using composite indicators. , 2010 .

[28]  Manfred Denich,et al.  Bioenergy, food security and poverty reduction: trade-offs and synergies along the water–energy–food security nexus , 2015 .

[29]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[30]  S. Venghaus,et al.  From a few security indices to the FEW Security Index: Consistency in global food, energy and water security assessment , 2019, Sustainable Production and Consumption.

[31]  T. Johansson,et al.  Global Energy Assessment: Towards a Sustainable Future , 2012 .

[32]  Carlo Giupponi,et al.  Integrated spatial assessment of the water, energy and food dimensions of the Sustainable Development Goals , 2017, Regional Environmental Change.

[33]  A. Mejia,et al.  Water Footprint of Cities: A Review and Suggestions for Future Research , 2015 .

[34]  Rajesh Govindan,et al.  Optimisation of the energy, water, and food nexus for food security scenarios , 2019, Comput. Chem. Eng..

[35]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[36]  Anna Korre,et al.  Integration of greenhouse gas control technologies within the energy, water and food nexus to enhance the environmental performance of food production systems , 2017 .

[37]  Woody Sherman,et al.  Improved Docking of Polypeptides with Glide , 2013, J. Chem. Inf. Model..

[38]  Laurence Guichard,et al.  Comparison of methods to assess the sustainability of agricultural systems. A review , 2011, Agronomy for Sustainable Development.

[39]  Mohammed Basheer,et al.  Temporal analysis of water-energy nexus indicators for hydropower generation and water pumping in the Lower Blue Nile Basin , 2019, Journal of Hydrology.