How to cite this paper
Rojas, J., Suazo, N., Monago, J & Fernandez, A. (2023). Artificial intelligence for the management of water projects and the management of water resources: A bibliographical analysis.Journal of Project Management, 8(3), 191-198.
Refrences
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Alamanos, A. (2022). Simple hydro-economic tools for supporting small water supply agencies on sustainable irrigation water management. Water Science & Technology: Water Supply, 22(2), 1810–1819.
https://doi.org/10.2166/ws.2021.318
Ali, Z., Burhan, A., Kassim, M., Al-Khafaji, Z. (2022). Developing an integrative data intelligence model for construc-tion cost estimation. Complexity, 2022, 1–18. https://doi.org/10.1155/2022/4285328
Amanambu, A., Mossa, J., Chen, Y. (2022). Hydrological drought forecasting using a deep transformer mod-el. Water, 14(22), 3611. https://doi.org/10.3390/w14223611
Bang, S., & Andersen, B. (2022). Utilising Artificial Intelligence in Construction Site Waste Reduction. Journal of En-gineering, Project & Production Management, 12(3). https://doi.org/10.32738/jeppm-2022-0022
Care. (2022). ESCASEZ DE AGUA: UNO DE LOS MAYORES DESAFÍOS DEL SIGLO XXI. https://care.org.pe/escasez-de-agua-uno-de-los-mayores-desafios-del-siglo-xxi/
El Pais. (2022). Vivir sin agua es un paraíso. https://elpais.com/planeta-futuro/2022-07-08/vivir-sin-agua-en-un-paraiso.html
Hangan, A., Chiru, C.-G., Arsene, D., Czako, Z., Lisman, D. F., Mocanu, M., Pahontu, B., Predescu, A., & Sebestyen, G. (2022). Advanced techniques for monitoring and management of urban water infrastructures—an over-view. Water, 14(14), 2174. https://doi.org/10.3390/w14142174
Igwe, U., Mohamed, S., Azwarie, M., Ugulu, R., Ajayi, O. (2022). Acceptance of contemporary technologies for cost management of construction projects. Journal of Information Technology in Construction, 27, 864–883. https://doi.org/10.36680/j.itcon.2022.042
Krishnan, S., Nallakaruppan, M., Chengoden, R., Koppu, S., Iyapparaja, M., Sadhasivam, J., Sethuraman, S. (2022). Smart water resource management using Artificial Intelligence—A review. Sustainability, 14(20), 13384. https://doi.org/10.3390/su142013384
Kumar, V., Pandey, A., & Singh, R. (2022). Can Artificial Intelligence be a Critical Success Factor in Construction Pro-jects? Practitioner perspectives. Technology Innovation Management Review, 11(11/12), 17–32. https://doi.org/10.22215/timreview/1471
Kulkarni, P., & Farnham, T. (2016). Smart City Wireless Connectivity Considerations and Cost Analysis: Lessons Learnt From Smart Water Case Studies. in IEEE Access. (4), 660-672, 2016, doi: 10.1109/ACCESS.2016.2525041.
Mesa, F., González, M., Vergara, G., & Alonso, I. (2022). Bibliometric analysis of the application of artificial intelli-gence techniques to the management of innovation projects. Applied Sciences (Basel, Switzerland), 12(22), 11743. https://doi.org/10.3390/app122211743
Mircea, V., Beilicci, E., Beilicci, R. (2017). Integrated Hydrographical Basin Management. Study Case – Crasna River Basin. Published under licence by IOP Publishing. IOP Conference Series: Materials Science and Engineer-ing, 245(3). DOI:10.1088/1757-899X/245/3/032038
Milne, S. (2021). Como la escasez del agua está provocando cada vez más escasez del agua. BBC News mundo. https://www.bbc.com/mundo/vert-fut-58259908
Mohammed, K. S., Shabanlou, S., Rajabi, A., Yosefvand, F., & Izadbakhsh, M. A. (2023). Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS. Applied Water Science, 13(2). https://doi.org/10.1007/s13201-022-01861-7
Nel, J., Mativenga, P., & Marnewick, A. (2022). A framework to support the selection of an appropriate water allocation planning and decision support scheme. Water, 14(12), 1854. https://doi.org/10.3390/w14121854
Oluleye, B., Chan, D., & Antwi-Afari, P. (2023). Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review. Sustainable Production and Consumption, 35, 509–524. https://doi.org/10.1016/j.spc.2022.12.002
Pandey, S., Twala, B., Singh, R., Gehlot, A., Singh, A., Montero, E., & Priyadarshi, N. (2022). Wastewater Treatment with Technical Intervention Inclination towards Smart Cities. Sustainability, 14(18), 11563.
Rahmani, M., Jahromi, S., & Darvishi, H. (2023). SD-DSS model of sustainable groundwater resources management us-ing the water-food-energy security Nexus in Alborz Province. Ain Shams Engineering Journal, 14(1), 101812. https://doi.org/10.1016/j.asej.2022.101812
Ruperto, F., & Strappini, S. (2021). Complex works project management enhanced by digital technologies. Building In-formation Modelling (BIM) in Design, Construction and Operations IV.
Torres, C. (2021). Causas del escasez del agua. BVVA. https://www.bbva.com/es/sostenibilidad/causas-de-la-escasez-de-agua/
Uddin, S., Ong, S., & Lu, H. (2022). Machine learning in Project analytics: a data driven framework and case study. Sci-entific Reports, 12(1), 15252. Doi: 10.1038/s41598-022-19728-x
Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Sci-entometrics, 84(2), 523-538.
Velayudhan, N., Pradeep, P., Rao, S., Devidas, A., & Ramesh, M. (2022). IoT-enabled water distribution systems—A comparative technological review. IEEE Access: Practical Innovations, Open Solutions, 10, 101042–101070. https://doi.org/10.1109/access.2022.3208142
Velazkez, E. (2021). Comprender las dimensiones del agua. ONU Habitat. https://onuhabitat.org.mx/index.php/comprender-las-dimensiones-del-problema-del-agua
Alamanos, A. (2022). Simple hydro-economic tools for supporting small water supply agencies on sustainable irrigation water management. Water Science & Technology: Water Supply, 22(2), 1810–1819.
https://doi.org/10.2166/ws.2021.318
Ali, Z., Burhan, A., Kassim, M., Al-Khafaji, Z. (2022). Developing an integrative data intelligence model for construc-tion cost estimation. Complexity, 2022, 1–18. https://doi.org/10.1155/2022/4285328
Amanambu, A., Mossa, J., Chen, Y. (2022). Hydrological drought forecasting using a deep transformer mod-el. Water, 14(22), 3611. https://doi.org/10.3390/w14223611
Bang, S., & Andersen, B. (2022). Utilising Artificial Intelligence in Construction Site Waste Reduction. Journal of En-gineering, Project & Production Management, 12(3). https://doi.org/10.32738/jeppm-2022-0022
Care. (2022). ESCASEZ DE AGUA: UNO DE LOS MAYORES DESAFÍOS DEL SIGLO XXI. https://care.org.pe/escasez-de-agua-uno-de-los-mayores-desafios-del-siglo-xxi/
El Pais. (2022). Vivir sin agua es un paraíso. https://elpais.com/planeta-futuro/2022-07-08/vivir-sin-agua-en-un-paraiso.html
Hangan, A., Chiru, C.-G., Arsene, D., Czako, Z., Lisman, D. F., Mocanu, M., Pahontu, B., Predescu, A., & Sebestyen, G. (2022). Advanced techniques for monitoring and management of urban water infrastructures—an over-view. Water, 14(14), 2174. https://doi.org/10.3390/w14142174
Igwe, U., Mohamed, S., Azwarie, M., Ugulu, R., Ajayi, O. (2022). Acceptance of contemporary technologies for cost management of construction projects. Journal of Information Technology in Construction, 27, 864–883. https://doi.org/10.36680/j.itcon.2022.042
Krishnan, S., Nallakaruppan, M., Chengoden, R., Koppu, S., Iyapparaja, M., Sadhasivam, J., Sethuraman, S. (2022). Smart water resource management using Artificial Intelligence—A review. Sustainability, 14(20), 13384. https://doi.org/10.3390/su142013384
Kumar, V., Pandey, A., & Singh, R. (2022). Can Artificial Intelligence be a Critical Success Factor in Construction Pro-jects? Practitioner perspectives. Technology Innovation Management Review, 11(11/12), 17–32. https://doi.org/10.22215/timreview/1471
Kulkarni, P., & Farnham, T. (2016). Smart City Wireless Connectivity Considerations and Cost Analysis: Lessons Learnt From Smart Water Case Studies. in IEEE Access. (4), 660-672, 2016, doi: 10.1109/ACCESS.2016.2525041.
Mesa, F., González, M., Vergara, G., & Alonso, I. (2022). Bibliometric analysis of the application of artificial intelli-gence techniques to the management of innovation projects. Applied Sciences (Basel, Switzerland), 12(22), 11743. https://doi.org/10.3390/app122211743
Mircea, V., Beilicci, E., Beilicci, R. (2017). Integrated Hydrographical Basin Management. Study Case – Crasna River Basin. Published under licence by IOP Publishing. IOP Conference Series: Materials Science and Engineer-ing, 245(3). DOI:10.1088/1757-899X/245/3/032038
Milne, S. (2021). Como la escasez del agua está provocando cada vez más escasez del agua. BBC News mundo. https://www.bbc.com/mundo/vert-fut-58259908
Mohammed, K. S., Shabanlou, S., Rajabi, A., Yosefvand, F., & Izadbakhsh, M. A. (2023). Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS. Applied Water Science, 13(2). https://doi.org/10.1007/s13201-022-01861-7
Nel, J., Mativenga, P., & Marnewick, A. (2022). A framework to support the selection of an appropriate water allocation planning and decision support scheme. Water, 14(12), 1854. https://doi.org/10.3390/w14121854
Oluleye, B., Chan, D., & Antwi-Afari, P. (2023). Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review. Sustainable Production and Consumption, 35, 509–524. https://doi.org/10.1016/j.spc.2022.12.002
Pandey, S., Twala, B., Singh, R., Gehlot, A., Singh, A., Montero, E., & Priyadarshi, N. (2022). Wastewater Treatment with Technical Intervention Inclination towards Smart Cities. Sustainability, 14(18), 11563.
Rahmani, M., Jahromi, S., & Darvishi, H. (2023). SD-DSS model of sustainable groundwater resources management us-ing the water-food-energy security Nexus in Alborz Province. Ain Shams Engineering Journal, 14(1), 101812. https://doi.org/10.1016/j.asej.2022.101812
Ruperto, F., & Strappini, S. (2021). Complex works project management enhanced by digital technologies. Building In-formation Modelling (BIM) in Design, Construction and Operations IV.
Torres, C. (2021). Causas del escasez del agua. BVVA. https://www.bbva.com/es/sostenibilidad/causas-de-la-escasez-de-agua/
Uddin, S., Ong, S., & Lu, H. (2022). Machine learning in Project analytics: a data driven framework and case study. Sci-entific Reports, 12(1), 15252. Doi: 10.1038/s41598-022-19728-x
Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Sci-entometrics, 84(2), 523-538.
Velayudhan, N., Pradeep, P., Rao, S., Devidas, A., & Ramesh, M. (2022). IoT-enabled water distribution systems—A comparative technological review. IEEE Access: Practical Innovations, Open Solutions, 10, 101042–101070. https://doi.org/10.1109/access.2022.3208142
Velazkez, E. (2021). Comprender las dimensiones del agua. ONU Habitat. https://onuhabitat.org.mx/index.php/comprender-las-dimensiones-del-problema-del-agua