Abstract
Water crisis has become one of the major challenges of the modern era, with increasing demand for clean water and decreasing availability of quality water resources. In this context, environmental engineering innovations are crucial to effectively address this challenge. This research aims to explore various environmental engineering innovations that can be used to address the water crisis in the modern era. The main focus of this research is to identify technical solutions that can be applied to improve water management and increase the availability of clean water. The research method used involved an in-depth literature survey to gather information on recent environmental engineering innovations in addressing the water crisis. In addition, the research also involved a comparative analysis of various solutions that have been implemented in different regions around the world. The results show that there are various environmental engineering innovations that can be effective in addressing the water crisis in the modern era, including water treatment technologies, sustainable water resource management, and the use of renewable energy in water treatment systems. The conclusion of this research is that environmental engineering innovations play an important role in addressing the water crisis in the modern era. By implementing these innovative solutions, it is expected to achieve water quality restoration and sustainable increase in clean water availability.
Full text article
References
Ahmed, M. G., Sadaa, A. M., Alshamry, H. M., Alharbi, M. A., Alnoor, A., & Kareem, A. A. (2022). Crisis, Resilience and Recovery in Tourism and Hospitality: A Synopsis. In A. Hassan, A. Sharma, J. Kennell, & P. Mohanty (Eds.), Tourism and Hospitality in Asia: Crisis, Resilience and Recovery (pp. 3–19). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-5763-5_1
Alma Çall?, B., & Ediz, Ç. (2023). Top concerns of user experiences in Metaverse games: A text-mining based approach. Entertainment Computing, 46, 100576. https://doi.org/10.1016/j.entcom.2023.100576
Besser, A., Flett, G. L., & Zeigler-Hill, V. (2022). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85–105. https://doi.org/10.1037/stl0000198
Betlem, K., Kaur, A., Hudson, A. D., Crapnell, R. D., Hurst, G., Singla, P., Zubko, M., Tedesco, S., Banks, C. E., Whitehead, K., & Peeters, M. (2019). Heat-Transfer Method: A Thermal Analysis Technique for the Real-Time Monitoring of Staphylococcus aureus Growth in Buffered Solutions and Digestate Samples. ACS Applied Bio Materials, 2(9), 3790–3798. https://doi.org/10.1021/acsabm.9b00409
Burke, K. (1966). Language as Symbolic Action: Essays on Life, Literature, and Method. University of California Press. https://doi.org/10.1525/9780520340664
Castañeda-Babarro, A., Arbillaga-Etxarri, A., Gutiérrez-Santamaría, B., & Coca, A. (2020). Physical Activity Change during COVID-19 Confinement. International Journal of Environmental Research and Public Health, 17(18), 6878. https://doi.org/10.3390/ijerph17186878
Chen, M., Li, C. B., Han, Z., & Lee, J. (2023). A simulation technique for monitoring the real-time stress responses of various mooring configurations for offshore floating wind turbines. Ocean Engineering, 278, 114366. https://doi.org/10.1016/j.oceaneng.2023.114366
Chow, J. C. L., Sanders, L., & Li, K. (2023). Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in Artificial Intelligence, 6, 1166014. https://doi.org/10.3389/frai.2023.1166014
Cohen, L., Malloy, C., & Nguyen, Q. (2020). Lazy Prices. The Journal of Finance, 75(3), 1371–1415. https://doi.org/10.1111/jofi.12885
Dong, H., & Liu, Y. (2023). Metaverse Meets Consumer Electronics. IEEE Consumer Electronics Magazine, 12(3), 17–19. https://doi.org/10.1109/MCE.2022.3229180
Dube, B. (2020). Rural online learning in the context of COVID 19 in South Africa: Evoking an inclusive education approach. Multidisciplinary Journal of Educational Research, 10(2), 135. https://doi.org/10.17583/remie.2020.5607
Dubey, J. P. (2021). Toxoplasmosis of Animals and Humans (3rd ed.). CRC Press. https://doi.org/10.1201/9781003199373
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Else, H. (2023). Abstracts written by ChatGPT fool scientists. Nature, 613(7944), 423–423. https://doi.org/10.1038/d41586-023-00056-7
Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176, 107290. https://doi.org/10.1016/j.comnet.2020.107290
Ferri, F., Grifoni, P., & Guzzo, T. (2020). Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations. Societies, 10(4), 86. https://doi.org/10.3390/soc10040086
Gosal, A. S., Geijzendorffer, I. R., Václavík, T., Poulin, B., & Ziv, G. (2019). Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosystem Services, 38, 100958. https://doi.org/10.1016/j.ecoser.2019.100958
Hao, J., & Ho, T. K. (2019). Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language. Journal of Educational and Behavioral Statistics, 44(3), 348–361. https://doi.org/10.3102/1076998619832248
Hayes, J. D., Dinkova-Kostova, A. T., & Tew, K. D. (2020). Oxidative Stress in Cancer. Cancer Cell, 38(2), 167–197. https://doi.org/10.1016/j.ccell.2020.06.001
Howe, K. L., Achuthan, P., Allen, J., Allen, J., Alvarez-Jarreta, J., Amode, M. R., Armean, I. M., Azov, A. G., Bennett, R., Bhai, J., Billis, K., Boddu, S., Charkhchi, M., Cummins, C., Da Rin Fioretto, L., Davidson, C., Dodiya, K., El Houdaigui, B., Fatima, R., … Flicek, P. (2021). Ensembl 2021. Nucleic Acids Research, 49(D1), D884–D891. https://doi.org/10.1093/nar/gkaa942
Ibrar, I., Naji, O., Sharif, A., Malekizadeh, A., Alhawari, A., Alanezi, A. A., & Altaee, A. (2019). A Review of Fouling Mechanisms, Control Strategies and Real-Time Fouling Monitoring Techniques in Forward Osmosis. Water, 11(4), 695. https://doi.org/10.3390/w11040695
Jafari, N. H., Li, X., Chen, Q., Le, C.-Y., Betzer, L. P., & Liang, Y. (2021). Real-time water level monitoring using live cameras and computer vision techniques. Computers & Geosciences, 147, 104642. https://doi.org/10.1016/j.cageo.2020.104642
Jansen, M., Donkervliet, J., Trivedi, A., & Iosup, A. (2023). Can My WiFi Handle the Metaverse? A Performance Evaluation Of Meta’s Flagship Virtual Reality Hardware. Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 297–303. https://doi.org/10.1145/3578245.3585022
Kang, D., Choi, H., & Nam, S. (2022). Learning Cultural Spaces: A Collaborative Creation of a Virtual Art Museum Using Roblox. International Journal of Emerging Technologies in Learning (iJET), 17(22), 232–245. https://doi.org/10.3991/ijet.v17i22.33023
Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., Barman, B., Das, P., & Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and Youth Services Review, 116, 105194. https://doi.org/10.1016/j.childyouth.2020.105194
Kar, P., Chen, R., & Qian, Y. (2022). An efficient producer mobility management technique for real-time communication in NDN-based Remote Health Monitoring systems. Smart Health, 26, 100309. https://doi.org/10.1016/j.smhl.2022.100309
Lapitan, L. Ds., Tiangco, C. E., Sumalinog, D. A. G., Sabarillo, N. S., & Diaz, J. M. (2021). An effective blended online teaching and learning strategy during the COVID-19 pandemic. Education for Chemical Engineers, 35, 116–131. https://doi.org/10.1016/j.ece.2021.01.012
Loewen, S., Crowther, D., Isbell, D. R., Kim, K. M., Maloney, J., Miller, Z. F., & Rawal, H. (2019). Mobile-assisted language learning: A Duolingo case study. ReCALL, 31(3), 293–311. https://doi.org/10.1017/S0958344019000065
Maican, M.-A., & Cocorad?, E. (2021). Online Foreign Language Learning in Higher Education and Its Correlates during the COVID-19 Pandemic. Sustainability, 13(2), 781. https://doi.org/10.3390/su13020781
Maulida, A., Hanif, H., Kamal, M., & Suryani Oktari, R. (2023). Roblox-based tsunami survival game: A tool to stimulate early childhood disaster preparedness skills. E3S Web of Conferences, 447, 02003. https://doi.org/10.1051/e3sconf/202344702003
Memon, N. A., Chown, D., & Alkouatli, C. (2021). Descriptions and enactments of Islamic pedagogy: Reflections of alumni from an Islamic Teacher Education Programme. Pedagogy, Culture & Society, 29(4), 631–649. https://doi.org/10.1080/14681366.2020.1775687
Oulaich, S. (2020). Pedagogy in the Digital Age: Making Learning Effective and Engaging for Students. In M. Ben Ahmed, A. A. Boudhir, D. Santos, M. El Aroussi, & ?. R. Karas (Eds.), Innovations in Smart Cities Applications Edition 3 (pp. 168–182). Springer International Publishing. https://doi.org/10.1007/978-3-030-37629-1_14
Pardo, A., Jovanovic, J., Dawson, S., Gaševi?, D., & Mirriahi, N. (2019). Using learning analytics to scale the provision of personalised feedback. British Journal of Educational Technology, 50(1), 128–138. https://doi.org/10.1111/bjet.12592
Payal, R., Sharma, N., & Dwivedi, Y. K. (2024). Unlocking the impact of brand engagement in the metaverse on Real-World purchase intentions: Analyzing Pre-Adoption behavior in a futuristic technology platform. Electronic Commerce Research and Applications, 65, 101381. https://doi.org/10.1016/j.elerap.2024.101381
Selwyn, N. (2019). What’s the Problem with Learning Analytics? Journal of Learning Analytics, 6(3). https://doi.org/10.18608/jla.2019.63.3
Shadiev, R., & Yang, M. (2020). Review of Studies on Technology-Enhanced Language Learning and Teaching. Sustainability, 12(2), 524. https://doi.org/10.3390/su12020524
Spernjak, A. (2021). Using ICT to Teach Effectively at COVID-19. 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 617–620. https://doi.org/10.23919/MIPRO52101.2021.9596878
Teimouri, Y., Plonsky, L., & Tabandeh, F. (2022). L2 grit: Passion and perseverance for second-language learning. Language Teaching Research, 26(5), 893–918. https://doi.org/10.1177/1362168820921895
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. International Journal of Environmental Research and Public Health, 17(5), 1729. https://doi.org/10.3390/ijerph17051729
Yates, A. D., Achuthan, P., Akanni, W., Allen, J., Allen, J., Alvarez-Jarreta, J., Amode, M. R., Armean, I. M., Azov, A. G., Bennett, R., Bhai, J., Billis, K., Boddu, S., Marugán, J. C., Cummins, C., Davidson, C., Dodiya, K., Fatima, R., Gall, A., … Flicek, P. (2019). Ensembl 2020. Nucleic Acids Research, gkz966. https://doi.org/10.1093/nar/gkz966
Authors
Copyright (c) 2024 Yuanyuan Wang, Shanshan Xu, Morse Kathryn

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.