Desentrañando el nexo agua–energía (WEN): un marco analítico estructurado y una definición extendida de seis pilares para la gobernanza y la investigación futura

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Gestión de recursos
Modelación dinámica
Gobernanza multinivel y colaborativa
Modelación híbrida
Análisis insumo–producto

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Pérez Denicia, E., & Pérez-Serrano, D. R. (2026). Desentrañando el nexo agua–energía (WEN): un marco analítico estructurado y una definición extendida de seis pilares para la gobernanza y la investigación futura. ACI Avances En Ciencias E Ingenierías. https://doi.org/10.18272/aci.4168

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Derechos de autor 2026 Eduardo Pérez-Denicia, Diana Rosa Pérez Serrano

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Este estudio sintetiza artículos revisados por pares e indexados en la Web of Science Core Collection (2018–2023) para esclarecer cómo se conceptualiza, mide y gobierna el nexo agua–energía. A partir de las principales variables del nexo, derivamos nueve dimensiones analíticas: (1) composición sectorial e interacciones, (2) insumos y productos de los recursos, (3) actores sociales, (4) marcos metodológicos, (5) problemas y limitaciones, (6) distribución geográfica, (7) definiciones operativas del nexo, (8) escalas territoriales y (9) tipo de estudio. Esta clasificación destaca tres cuellos de botella estructurales: (i) concentración metodológica de modelos estáticos de insumo–producto ambientalmente extendidos; (ii) concentración regional de estudios de caso en China, favorecida por la disponibilidad de datos, lo que restringe la transferibilidad global; y (iii) una visión institucional estrecha, en la que la gobernanza multinivel y la sociedad civil aparecen subrepresentadas. El análisis de redes revela que el encuadre conceptual guía la elección metodológica y la inclusión de actores, e indica una escasa diversificación metodológica—relación que se sintetiza en los seis pilares propuestos a continuación.  Más allá de revisiones previas del nexo, esta combinación de codificación en nueve dimensiones, análisis de frecuencia cruzada y redes de co-ocurrencia ofrece una base empírica para los seis pilares al vincular cómo se define el nexo con cómo se mide y quiénes son representados en el análisis. Con el fin de apoyar decisiones de ingeniería sostenibles, proponemos una definición ampliada del nexo estructurada en seis pilares interrelacionados: contabilidad de flujos a alta resolución; modelación dinámica con retroalimentaciones (efecto rebote y riesgos de puntos de inflexión); acoplamiento explícito con carbono, uso del suelo y residuos; enfoques híbridos cuantitativos–cualitativos (métodos mixtos); gobernanza colaborativa e inclusiva de múltiples niveles; y arquitecturas de datos abiertos interoperables. En conjunto, estos pilares integran evidencia fragmentada de estudios de caso en un marco sistémico aplicable a la ingeniería y sensible a consideraciones de justicia, informando la planificación integrada de infraestructura agua–energía, la evaluación de trayectorias de transición energética bajo restricciones hídricas, y la priorización de mejoras de gobernanza y arquitectura de datos necesarias para un monitoreo interoperable del nexo entre sectores y escalas.

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Referencias

Bazilian, M., Rogner, H., Howells, M., Hermann, S., Arent, D., Gielen, D., Steduto, P., Mueller, A., Komor, P., Tol, R. S. J., & Yumkella, K. K. (2011). Considering the energy, water and food nexus: Towards an integrated modelling approach. Energy Policy, 39(12), 7896–7906. https://doi.org/10.1016/j.enpol.2011.09.039

IPCC. (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability | Climate Change 2022: Impacts, Adaptation and Vulnerability. https://www.ipcc.ch/report/ar6/wg2/

Tsirimokos, C. (2025). A Comprehensive Input – Output Analysis Model for Quantifying Environmental Linkages and Leakages : Evidence from Greece. Biophysical Economics and Sustainability. https://doi.org/10.1007/s41247-025-00124-8

Liu, X., Vu, D., Perera, S. C., Wang, G., & Xiong, R. (2023). Nexus between water-energy-carbon footprint network: Multiregional input-output and coupling coordination degree analysis. Journal of Cleaner Production, 430, 139639. https://doi.org/10.1016/j.jclepro.2023.139639

Chen, P. C., Alvarado, V., & Hsu, S. C. (2018). Water energy nexus in city and hinterlands: Multi-regional physical input-output analysis for Hong Kong and South China. Applied Energy, 225, 986–997. https://doi.org/10.1016/j.apenergy.2018.05.083

Paterson, W., Rushforth, R., Ruddell, B. L., Konar, M., Ahams, I. C., Gironás, J., Mijic, A., & Mejia, A. (2015). Water footprint of cities: A review and suggestions for future research. Sustainability (Switzerland), 7(7), 8461–8490. https://doi.org/10.3390/su7078461

Scanlon, B. R., Ruddell, B. L., Reed, P. M., Hook, R. I., Zheng, C., Tidwell, V. C., & Siebert, S. (2017). The food-energy-water nexus: Transforming science for society. Water Resources Research, 53(5), 3550–3556. https://doi.org/10.1002/2017WR020889

Wang, X. C., Klemeš, J. J., Wang, Y., Dong, X., Wei, H., Xu, Z., & Varbanov, P. S. (2020). Water-Energy-Carbon Emissions nexus analysis of China: An environmental input-output model-based approach. Applied Energy, 261. https://doi.org/10.1016/j.apenergy.2019.114431

Wang, S., Fath, B., & Chen, B. (2019). Energy–water nexus under energy mix scenarios using input–output and ecological network analyses. Applied Energy, 233–234, 827–839. https://doi.org/10.1016/j.apenergy.2018.10.056

Li, X., Yang, L., Zheng, H., Shan, Y., Zhang, Z., Song, M., Cai, B., & Guan, D. (2019). City-level water-energy nexus in Beijing-Tianjin-Hebei region. Applied Energy, 235, 827–834. https://doi.org/10.1016/j.apenergy.2018.10.097

Xu, W., Xie, Y., Cai, Y., Ji, L., Wang, B., & Yang, Z. (2021). Environmentally-extended input-output and ecological network analysis for Energy-Water-CO2 metabolic system in China. Science of the Total Environment, 758, 143931. https://doi.org/10.1016/j.scitotenv.2020.143931

Albrecht, T. R., Crootof, A., & Scott, C. A. (2018). The Water-Energy-Food Nexus: A systematic review of methods for nexus assessment. Environmental Research Letters, 13(4). https://doi.org/10.1088/1748-9326/aaa9c6

Ding, T., Liang, L., Zhou, K., Yang, M., & Wei, Y. (2020). Water-energy nexus: The origin, development and prospect. Ecological Modelling, 419, 108943. https://doi.org/10.1016/j.ecolmodel.2020.108943

Zhang, Y., Fu, Z., Xie, Y., Li, Z., Liu, Y., Zhang, B., & Guo, H. (2021). Dynamic metabolism network simulation for energy-water nexus analysis: A case study of Liaoning Province, China. Science of the Total Environment, 779, 146440. https://doi.org/10.1016/j.scitotenv.2021.146440

Wang, S., Liu, Y., & Chen, B. (2018). Multiregional input–output and ecological network analyses for regional energy–water nexus within China. Applied Energy, 227, 353–364. https://doi.org/10.1016/j.apenergy.2017.11.093

Yang, X., Wang, Y., Sun, M., Wang, R., & Zheng, P. (2018). Exploring the environmental pressures in urban sectors: An energy-water-carbon nexus perspective. Applied Energy, 228, 2298–2307. https://doi.org/10.1016/j.apenergy.2018.07.090

Feng, C., Tang, X., Jin, Y., & Höök, M. (2019). The role of energy-water nexus in water conservation at regional levels in China. Journal of Cleaner Production, 210, 298–308. https://doi.org/10.1016/j.jclepro.2018.10.335

Bowen, K. J., Cradock-Henry, N. A., Koch, F., Patterson, J., Häyhä, T., Vogt, J., & Barbi, F. (2017). Implementing the “Sustainable Development Goals”: towards addressing three key governance challenges—collective action, trade-offs, and accountability. Current Opinion in Environmental Sustainability, 26–27, 90–96. https://doi.org/10.1016/j.cosust.2017.05.002

Glass, L.-M., & Newig, J. (2019). Governance for achieving the Sustainable Development Goals: How important are participation, policy coherence, reflexivity, adaptation and democratic institutions? Earth System Governance, 2, 100031. https://doi.org/10.1016/j.esg.2019.100031

Duan, C., & Chen, B. (2020). Driving factors of water-energy nexus in China. Applied Energy, 257, 113984. https://doi.org/10.1016/j.apenergy.2019.113984

Zhang, W., Valencia, A., Gu, L., Zheng, Q. P., & Chang, N. Bin. (2020). Integrating emerging and existing renewable energy technologies into a community-scale microgrid in an energy-water nexus for resilience improvement. Applied Energy, 279, 115716. https://doi.org/10.1016/j.apenergy.2020.115716

Dai, J., Wu, S., Han, G., Weinberg, J., Xie, X., Wu, X., Song, X., Jia, B., Xue, W., & Yang, Q. (2018). Water-energy nexus: A review of methods and tools for macro-assessment. Applied Energy, 210, 393–408. https://doi.org/10.1016/j.apenergy.2017.08.243

Park, G., & Kim, H. (2021). Water conservation and regional equity: An Energy–Water nexus perspective on how Seoul’s efforts relieve energy burdens on electricity-producing areas. Journal of Cleaner Production, 305, 127222. https://doi.org/10.1016/j.jclepro.2021.127222

Ateş, A., Rogge, K. S., & Lovell, K. (2024). Governance in multi-system transitions: A new methodological approach for actor involvement in policy making processes. Energy Policy, 195. https://doi.org/10.1016/j.enpol.2024.114313

Huttunen, S., Turunen, A., & Kaljonen, M. (2022). Participation for just governance of food-system transition. Sustainability: Science, Practice, and Policy, 18(1), 500–514. https://doi.org/10.1080/15487733.2022.2088187

Huttunen, S., Ojanen, M., Ott, A., & Saarikoski, H. (2022). What about citizens? A literature review of citizen engagement in sustainability transitions research. Energy Research and Social Science, 91, 102714. https://doi.org/10.1016/j.erss.2022.102714

Wild, T. B., Khan, Z., Clarke, L., Hejazi, M., Bereslawski, J. L., Suriano, M., Roberts, P., Casado, J., Miralles-Wilhelm, F., Gavino-Novillo, M., Muñoz-Castillo, R., Moreda, F., Zhao, M., Yarlagadda, B., Lamontagne, J., & Birnbaum, A. (2021). Integrated energy-water-land nexus planning in the Colorado River Basin (Argentina). Regional Environmental Change, 21(3). https://doi.org/10.1007/s10113-021-01775-1

Allouche, J., Middleton, C., & Gyawali, D. (2015). Technical veil, hidden politics: Interrogating the power linkages behind the nexus. Water Alternatives, 8(1), 610–626.

Srigiri, S. R., & Dombrowsky, I. (2022). Analysing the Water-Energy-Food Nexus From a Polycentric Governance Perspective: Conceptual and Methodological Framework. Frontiers in Environmental Science, 10, 1–13. https://doi.org/10.3389/fenvs.2022.725116

Leck, H., Conway, D., Bradshaw, M., & Rees, J. (2015). Tracing the Water-Energy-Food Nexus: Description, Theory and Practice. Geography Compass, 9(8), 445–460. https://doi.org/10.1111/gec3.12222

Urbinatti, A. M., Benites-Lazaro, L. L., Carvalho, C. M. de, & Giatti, L. L. (2020). The conceptual basis of water-energy-food nexus governance: systematic literature review using network and discourse analysis. Journal of Integrative Environmental Sciences, 17(2), 21–43. https://doi.org/10.1080/1943815X.2020.1749086

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5

Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. The FASEB Journal, 22(2), 338–342. https://doi.org/10.1096/fj.07-9492lsf

Pérez-Denicia, E., & Pérez-Serrano, D. (2025). Data and Coding Protocol for the Water–Energy Nexus Corpus (71 articles). https://doi.org/10.5281/ZENODO.15832592

Endo, A., Tsurita, I., Burnett, K., & Orencio, P. M. (2017). A review of the current state of research on the water, energy, and food nexus. Journal of Hydrology: Regional Studies, 11, 20–30. https://doi.org/10.1016/j.ejrh.2015.11.010

Liu, Z., Huang, Q., He, C., Wang, C., Wang, Y., & Li, K. (2021). Water-energy nexus within urban agglomeration: An assessment framework combining the multiregional input-output model, virtual water, and embodied energy. Resources, Conservation and Recycling, 164, 105113. https://doi.org/10.1016/j.resconrec.2020.105113

Wang, X. C., Jiang, P., Yang, L., Fan, Y. Van, Klemeš, J. J., & Wang, Y. (2021). Extended water-energy nexus contribution to environmentally-related sustainable development goals. Renewable and Sustainable Energy Reviews, 150. https://doi.org/10.1016/j.rser.2021.111485

Liu, Y., & Chen, B. (2020). Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses. Applied Energy, 268, 114974. https://doi.org/10.1016/j.apenergy.2020.114974

Guan, S., Han, M., Wu, X., Guan, C. H., & Zhang, B. (2019). Exploring energy-water-land nexus in national supply chains: China 2012. Energy, 185, 1225–1234. https://doi.org/10.1016/j.energy.2019.07.130

Liu, Y., Hu, Y., Su, M., Meng, F., Dang, Z., & Lu, G. (2020). Multiregional input-output analysis for energy-water nexus: A case study of Pearl River Delta urban agglomeration. Journal of Cleaner Production, 262, 121255. https://doi.org/10.1016/j.jclepro.2020.121255

Yin, Y., Lin, G., Jiang, D., Fu, J., & Dong, D. (2021). Multi-scenario simulation of a water–energy coupling system based on system dynamics: A case study of ningbo city. Energies, 14(18), 0–21. https://doi.org/10.3390/en14185854

Fayyaz, S., Khadem Masjedi, S., Kazemi, A., Khaki, E., Moeinaddini, M., & Irving Olsen, S. (2023). Life cycle assessment of reverse osmosis for high-salinity seawater desalination process: Potable and industrial water production. Journal of Cleaner Production, 382. https://doi.org/10.1016/j.jclepro.2022.135299

Shahabi, M. P., McHugh, A., Anda, M., & Ho, G. (2014). Environmental life cycle assessment of seawater reverse osmosis desalination plant powered by renewable energy. Renewable Energy, 67, 53–58. https://doi.org/10.1016/j.renene.2013.11.050

Najjar, E., Al-Hindi, M., Massoud, M., & Saad, W. (2021). Life Cycle Assessment of a seawater reverse osmosis plant powered by a hybrid energy system (fossil fuel and waste to energy). Energy Reports, 7, 448–465. https://doi.org/10.1016/j.egyr.2021.07.106

Suh, S., Lenzen, M., Treloar, G. J., Hondo, H., Horvath, A., Huppes, G., Jolliet, O., Klann, U., Krewitt, W., Moriguchi, Y., Munksgaard, J., & Norris, G. (2004). System boundary selection in life-cycle inventories using hybrid approaches. Environmental Science & Technology, 38(3), 657–664. https://doi.org/10.1021/es0263745

Yoo, J. H., & Kim, H. (2024). A new city’s water–energy nexus implications: The case of Sejong City in South Korea. Energy and Environment, 35(6), 2975–2990. https://doi.org/10.1177/0958305X231155493

Pfenninger, S., Hawkes, A., & Keirstead, J. (2014). Energy systems modeling for twenty-first century energy challenges. Renewable and Sustainable Energy Reviews, 33, 74–86. https://doi.org/10.1016/j.rser.2014.02.003

Suh, S., & Yang, Y. (2014). On the uncanny capabilities of consequential LCA. International Journal of Life Cycle Assessment, 19(6), 1179–1184. https://doi.org/10.1007/s11367-014-0739-9

Keirstead, J., Jennings, M., & Sivakumar, A. (2012). A review of urban energy system models: Approaches, challenges and opportunities. Renewable and Sustainable Energy Reviews, 16(6), 3847–3866. https://doi.org/10.1016/j.rser.2012.02.047

Hertwich, E. G., Ali, S., Ciacci, L., Fishman, T., Heeren, N., Masanet, E., Asghari, F. N., Olivetti, E., Pauliuk, S., Tu, Q., & Wolfram, P. (2019). Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics - A review. Environmental Research Letters, 14(4). https://doi.org/10.1088/1748-9326/ab0fe3

Pahl-Wostl, C., Gorris, P., Jager, N., Koch, L., Lebel, L., Stein, C., Venghaus, S., & Withanachchi, S. (2021). Scale-related governance challenges in the water–energy–food nexus: toward a diagnostic approach. Sustainability Science, 16(2), 615–629. https://doi.org/10.1007/s11625-020-00888-6

Binder, C. R., Hinkel, J., Bots, P. W. G., & Pahl-Wostl, C. (2013). Comparison of frameworks for analyzing social-ecological systems. Ecology and Society, 18(4), 26. https://doi.org/10.5751/ES-05551-180426

Voinov, A., & Bousquet, F. (2010). Modelling with stakeholders. Environmental Modelling and Software, 25(11), 1268–1281. https://doi.org/10.1016/j.envsoft.2010.03.007

Reed, M. S. (2008). Stakeholder participation for environmental management: A literature review. Biological Conservation, 141(10), 2417–2431. https://doi.org/10.1016/j.biocon.2008.07.014

Ostrom, E. (2010). Polycentric systems for coping with collective action and global environmental change. Global Environmental Change, 20(4), 550–557. https://doi.org/10.1016/j.gloenvcha.2010.07.004

Brelsford, C., & Abbott, J. K. (2021). How smart are ‘Water Smart Landscapes’? Journal of Environmental Economics and Management, 106, 102402. https://doi.org/10.1016/j.jeem.2020.102402

Horsburgh, J. S., Morsy, M. M., Castronova, A. M., Goodall, J. L., Gan, T., Yi, H., Stealey, M. J., & Tarboton, D. G. (2016). HydroShare: Sharing Diverse Environmental Data Types and Models as Social Objects with Application to the Hydrology Domain. Journal of the American Water Resources Association, 52(4), 873–889. https://doi.org/10.1111/1752-1688.12363

Boluwade, A. (2021). Impacts of climatic change and database information design on the water-energy-food nexus in water-scarce regions. Water-Energy Nexus, 4, 54–68. https://doi.org/10.1016/j.wen.2021.03.002

Bagiliko, J., Stern, D., Ndanguza, D., & Torgbor, F. F. (2025). Validation of satellite and reanalysis rainfall products against rain gauge observations in Ghana and Zambia. Theoretical and Applied Climatology, 156(5). https://doi.org/10.1007/s00704-025-05462-7

Cheng, L., Tian, J., Xu, H., & Chen, L. (2023). Unveiling the Nexus Profile of Embodied Water-Energy-Carbon-Value Flows of the Yellow River Basin in China. Environmental Science and Technology, 57(23), 8568–8577. https://doi.org/10.1021/acs.est.3c00418

Meldrum, J., Nettles-Anderson, S., Heath, G., & Macknick, J. (2013). Life cycle water use for electricity generation: A review and harmonization of literature estimates. Environmental Research Letters, 8(1). https://doi.org/10.1088/1748-9326/8/1/015031

Bai, Y., Langarudi, S. P., & Fernald, A. G. (2021). System dynamics modeling for evaluating regional hydrologic and economic effects of irrigation efficiency policy. Hydrology, 8(2). https://doi.org/10.3390/hydrology8020061

Peters, G. P., & Hertwich, E. G. (2008). CO2 embodied in international trade with implications for global climate policy. Environmental Science and Technology, 42(5), 1401–1407. https://doi.org/10.1021/es072023k

Haberl, H., Erb, K. H., Krausmann, F., Running, S., Searchinger, T. D., & Kolby Smith, W. (2013). Bioenergy: How much can we expect for 2050? Environmental Research Letters, 8(3). https://doi.org/10.1088/1748-9326/8/3/031004

Shehadeh, A., Alshboul, O., & Arar, M. (2024). Enhancing Urban Sustainability and Resilience: Employing Digital Twin Technologies for Integrated WEFE Nexus Management to Achieve SDGs. Sustainability, 16(17), 7398. https://doi.org/10.3390/su16177398

Zeng, Y., Liu, D., Guo, S., Xiong, L., Liu, P., Yin, J., & Wu, Z. (2022). A system dynamic model to quantify the impacts of water resources allocation on water-energy-food-society (WEFS) nexus. Hydrology and Earth System Sciences, 26(15), 3965–3988. https://doi.org/10.5194/hess-26-3965-2022

Trimble, M., Olivier, T., Anjos, L. A. P., Dias Tadeu, N., Giordano, G., Mac Donnell, L., Laura, R., Salvadores, F., Santana-Chaves, I. M., Torres, P. H. C., Pascual, M., Jacobi, P. R., Mazzeo, N., Zurbriggen, C., Garrido, L., Jobbágy, E., & Pahl-Wostl, C. (2022). How do basin committees deal with water crises? Reflections for adaptive water governance from South America. Ecology and Society, 27(2), 42. https://doi.org/10.5751/ES-13356-270242

Rodríguez-Blásquez, Y., Ticona, G. A., Santos Santos, T. F., Aedo-Quililongo, S., Zamora, D., Salazar, D. B., Forni, L., & Alvarenga, M. (2025). Evaluating the Effectiveness of an Interactive Tool for Water Governance in Transboundary Basins: A Participation-Based Approach and Visualization of Water Security from a Vulnerability Perspective. Water (Switzerland), 17(2). https://doi.org/10.3390/w17020278

Pesantez, J. E., Alghamdi, F., Sabu, S., Mahinthakumar, G., & Berglund, E. Z. (2022). Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic. Sustainable Cities and Society, 77, 103520. https://doi.org/10.1016/j.scs.2021.103520

Sumaila, U. R., Walsh, M., Hoareau, K., Cox, A., Teh, L., Abdallah, P., Akpalu, W., Anna, Z., Benzaken, D., Crona, B., Fitzgerald, T., Heaps, L., Issifu, I., Karousakis, K., Lange, G. M., Leland, A., Miller, D., Sack, K., Shahnaz, D., Thiele, T., Vestergaard, N., Yagi, N., & Zhang, J. (2021). Financing a sustainable ocean economy. Nature Communications, 12(1), Article 3259. https://doi.org/10.1038/s41467-021-23168-y

Stadler, K., Wood, R., Bulavskaya, T., Södersten, C. J., Simas, M., Schmidt, S., Usubiaga, A., Acosta-Fernández, J., Kuenen, J., Bruckner, M., Giljum, S., Lutter, S., Merciai, S., Schmidt, J. H., Theurl, M. C., Plutzar, C., Kastner, T., Eisenmenger, N., Erb, K.-H., de Koning, A., & Tukker, A. (2018). EXIOBASE 3: Developing a time series of detailed environmentally extended multi-regional input–output tables. Journal of Industrial Ecology, 22(3), 502–515. https://doi.org/10.1111/jiec.12715

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., ’t Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., & Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, Article 160018. https://doi.org/10.1038/sdata.2016.18

Budzinski, M., Wood, R., Zakeri, B., Krey, V., & Strømman, A. H. (2024). Coupling energy system models with multi-regional input–output models based on the make and use framework—Insights from MESSAGEix and EXIOBASE. Economic Systems Research, 36(4), 508–526. https://doi.org/10.1080/09535314.2022.2158065

Karutz, R., Omann, I., Gorelick, S. M., Klassert, C. J. A., Zozmann, H., Zhu, Y., Kabisch, S., Kindler, A., Figueroa, A. J., Wang, A., Küblböck, K., Grohs, H., Burek, P., Smilovic, M., & Klauer, B. (2022). Capturing Stakeholders’ Challenges of the Food–Water–Energy Nexus—A Participatory Approach for Pune and the Bhima Basin, India. Sustainability (Switzerland), 14(9), 1–24. https://doi.org/10.3390/su14095323

Torfs, E., Nicolaï, N., Daneshgar, S., Copp, J. B., Haimi, H., Ikumi, D., Johnson, B., Plosz, B. B., Snowling, S., Townley, L. R., Valverde-Pérez, B., Vanrolleghem, P. A., Vezzaro, L., & Nopens, I. (2022). The transition of WRRF models to digital twin applications. Water Science and Technology, 85(10), 2840–2853. https://doi.org/10.2166/wst.2022.107

Formiga-Johnsson, R. M., Kumler, L., & Lemos, M. C. (2007). The politics of bulk water pricing in Brazil: lessons from the Paraíba do Sul basin. Water Policy, 9(1), 87–104. https://doi.org/10.2166/WP.2006.001

Hoekstra, A. Y., & Mekonnen, M. M. (2012). The water footprint of humanity. Proceedings of the National Academy of Sciences of the United States of America, 109(9), 3232–3237. https://doi.org/10.1073/pnas.1109936109

Addor, N., Newman, A. J., Mizukami, N., & Clark, M. P. (2017). The CAMELS data set: Catchment attributes and meteorology for large-sample studies. Hydrology and Earth System Sciences, 21(10), 5293–5313. https://doi.org/10.5194/hess-21-5293-2017