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Maintaining water quality is essential for numerous fields, but pollution challenges have become more pronounced with population growth and industrial expansion. Although monitoring technologies have advanced, comprehensive watershed analyses remain limited, especially in developing countries. This study conducts a bibliometric review of watershed-scale water quality monitoring research, applying the PRISMA 2020 method alongside tools such as Scopus, VOSviewer, Orange Data Mining, and qualitative content analysis to identify trends, research gaps, and future directions across 107 studies. From 2005 to 2024, there has been a significant rise in research on real-time monitoring systems and spatial modeling in water quality, with notable peaks. The United States leads in publication volume, while 'Watershed Flow Modeling' remains underexplored and underrepresented. Studies show that implementing real-time monitoring systems and spatial modeling in developing countries faces challenges related to infrastructure and funding. However, recent advancements in IoT-based tools and satellite remote sensing are progressively enhancing water resource management.
Czasopismo
Rocznik
Tom
Strony
12--31
Opis fizyczny
Bibliogr. 82 poz., rys., tab., wykr.
Twórcy
autor
- Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. H. Sudarto, SH Tembalang, Semarang, Indonesia, Indonesia
autor
- Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. H. Sudarto, SH Tembalang, Semarang, Indonesia, Indonesia
autor
- Faculty of Law, Diponegoro University, Semarang, Indonesia
- Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. H. Sudarto, SH Tembalang, Semarang, Indonesia, Indonesia
autor
- Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. H. Sudarto, SH Tembalang, Semarang, Indonesia, Indonesia
autor
- Environmental Sustainability Research Group, Departement of Environmental Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia
Bibliografia
- 1. Acuña-Alonso, C., Fernandes, A.C P., Álvarez, X., Valero, E., Pacheco, F.A.L., Varandas, S.D.G.P., Terêncio, D.P.S. & Fernandes, L.F.S. (2021). Water security and watershed management assessed through the modelling of hydrology and ecological integrity: A study in the Galicia-Costa (NW Spain). Science of the Total Environment. 759, 143905. DOI:10.1016/j.scitotenv.2020.143905
- 2. Adeyeye, K., Gibberd, J. & Chakwizira, J. (2020). Water marginality in rural and peri-urban communities. Journal of Cleaner Production, 273, 122594. DOI:10.1016/j.jclepro.2020.122594
- 3. Ahmed, S.F., Kumar, P.S., Kabir, M., Zuhara, F.T., Mehjabin, A., Tasannum, N., Hoang, A.T., Kabir, Z. & Mofijur, M. (2022). Threats, challenges and sustainable conservation strategies for freshwater biodiversity. Environmental Research. 214, 113808. DOI:10.1016/j.envres.2022.113808
- 4. Aloui, S., Mazzoni, A., Elomri, A., Aouissi, J., Boufekane, A. & Zghibi, A. (2023). A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions. Journal of Environmental Management, 326, 116799. DOI:10.1016/j.jenvman.2022.116799
- 5. Amalia, A., Fariz, T., Lutfiananda, F., Ihsan, H., Atunnisa, R. & Jabbar, A. (2024). Comparison of SWAT-based ecohydrological modeling in Rawa Pening Catchment Area, Indonesia. Journal Pendidikan IPA Indonesia, 13, 1. DOI:10.15294/jpii.v13i1.45277
- 6. Anyango, G.W., Bhowmick, G.D. & Sahoo Bhattacharya, N. (2024). A critical review of irrigation water quality index and water quality management practices in microirrigation for efficient policy making. Desalination and Water Treatment, 318, 100304. DOI:10.1016/j.dwt.2024.100304
- 7. Behmel, S., Damour, M., Ludwig, R. & Rodriguez, M. J. (2016). Water quality monitoring strategies — A review and future perspectives. Science of the Total Environment, 571, pp. 1312-1329. DOI:10.1016/j.scitotenv.2016.06.235
- 8. Budihardjo, M.A., Humaira, N.G., Ramadan, B.S., Wahyuningrum, I.F.S. & Huboyo, H.S. (2023). Strategies to reduce greenhouse gas emissions from municipal solid waste management in Indonesia: The case of Semarang City. Alexandria Engineering Journal, 69, pp. 771-783. DOI:10.1016/j.aej.2023.02.029
- 9. Budihardjo, M.A., Ramadan, B.S., Putri, S.A., Wahyuningrum, I.F.S. & Muhammad, F.I. (2021). Towards Sustainability in Higher-Education Institutions: Analysis of Contributing Factors and Appropriate Strategies. Sustainability, 13, 12, 6562. DOI:10.3390/su13126562
- 10. Cham, H., Malek, S., Milow, P. & Ramli, M.R. (2020). Web-based system for visualisation of water quality index. All Life, 13, 1, pp. 426-432. DOI:10.1080/26895293.2020.1788998
- 11. Chawla, I., Karthikeyan, L. & Mishra, A.K. (2020). A review of remote sensing applications for water security: Quantity, quality, and extremes. Journal of Hydrology, 585, 124826. DOI:10.1016/j.jhydrol.2020.124826
- 12. Chen, X., Chen, J., Wu, D., Xie, Y. & Li, J. (2016). Mapping the Research Trends by Co-word Analysis Based on Keywords from Funded Project. Procedia Computer Science, 91, pp. 547-555. DOI:10.1016/j.procs.2016.07.140
- 13. Chen, X., Liu, T., Duulatov, E., Gafurov, A., Omorova, E. & Gafurov, A. (2022). Hydrological Forecasting under Climate Variability Using Modeling and Earth Observations in the Naryn River Basin, Kyrgyzstan. Water, 14, 17, 2733. DOI:10.3390/w14172733
- 14. Chow, R., Scheidegger, R., Doppler, T., Dietzel, A., Fenicia, F. & Stamm, C. (2020). A review of long-term pesticide monitoring studies to assess surface water quality trends. Water Research X, 9, 100064. DOI:10.1016/j.wroa.2020.100064
- 15. Czatzkowska, M., Wolak, I., Harnisz, M. & Korzeniewska, E. (2022). Impact of Anthropogenic Activities on the Dissemination of ARGs in the Environment—A Review. International Journal of Environmental Research and Public Health, 19, 19. DOI:10.3390/ijerph191912853
- 16. Daenekindt, S. & Huisman, J. (2020). Mapping the scattered field of research on higher education. A correlated topic model of 17,000 articles, 1991-2018. Higher Education, 80, 3, pp. 571-587. DOI:10.1007/s10734-020-00500-x
- 17. Damanik, A., Janssen, D.J., Tournier, N., Stelbrink, B., von Rintelen, T., Haffner, G.D., Cohen, A., Yudawati Cahyarini, S. & Vogel, H. (2024). Perspectives from modern hydrology and hydrochemistry on a lacustrine biodiversity hotspot: Ancient Lake Poso, Central Sulawesi, Indonesia. Journal of Great Lakes Research, 50, 3, 102254. DOI:10.1016/j.jglr.2023.102254
- 18. Dawood, T., Elwakil, E., Novoa, H. M. & Gárate Delgado, J. F. (2021). Toward urban sustainability and clean potable water: Prediction of water quality via artificial neural networks. Journal of Cleaner Production, 291, 125266. DOI:10.1016/j.jclepro.2020.125266
- 19. de Vries, B.B.L.P., van Smeden, M., Rosendaal, F.R. & Groenwold, R.H.H. (2020). Title, abstract, and keyword searching resulted in poor recovery of articles in systematic reviews of epidemiologic practice. Journal of Clinical Epidemiology, 121, pp. 55-61. DOI:10.1016/j.jclinepi.2020.01.009
- 20. Duttagupta, S., Mukherjee, A., Bhanja, S. N., Chattopadhyay, S., Sarkar, S., Das, K., Chakraborty, S. & Mondal, D. (2020). Achieving sustainable development goal for clean water in India: influence of natural and anthropogenic factors on groundwater microbial pollution. Environmental Management, 66, pp. 742-755. DOI:10.1007/s00267-020-01358-6
- 21. Ejaz, H., Zeeshan, H.M., Ahmad, F., Bukhari, S.N., Anwar, N., Alanazi, A., Sadiq, A., Junaid, K., Atif, M., Abosalif, K.O., Iqbal, A., Hamza, M.A. & Younas, S. (2022). Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer. International Journal of Environmental Research and Public Health, 19, 19. DOI:10.3390/ijerph191912407
- 22. Fioramonte, B., Campos, M.A.S., De Freitas, S.R. & Basso, R.E. (2022). Rainfall data used for rainwater harvesting systems: a bibliometric and systematic literature review. AQUA—Water Infrastructure, Ecosystems and Society, 71, 7, pp. 816-834. DOI:10.2166/aqua.2022.034
- 23. Gao, S., Meng, F., Gu, Z., Liu, Z. & Farrukh, M. (2021). Mapping and Clustering Analysis on Environmental, Social and Governance Field a Bibliometric Analysis Using Scopus. Sustainability, 13, 13. DOI:10.3390/su13137304
- 24. Giri, S. (2021). Water quality prospective in Twenty First Century: Status of water quality in major river basins, contemporary strategies and impediments: A review. Environmental Pollution, 271, 116332. DOI:10.1016/j.envpol.2020.116332
- 25. Han, X. (2020). Evolution of research topics in LIS between 1996 and 2019: An analysis based on latent Dirichlet allocation topic model. Scientometrics, 125, 3, pp. 2561-2595. DOI:10.1007/s11192-020-03721-0
- 26. Heege, T., Kiselev, V., Wettle, M. & Hung, N. N. (2014). Operational multi-sensor monitoring of turbidity for the entire Mekong Delta. International Journal of Remote Sensing, 35, 8, pp. 2910-2926. DOI:10.1080/01431161.2014.890300
- 27. Hojjati-Najafabadi, A., Mansoorianfar, M., Liang, T., Shahin, K. & Karimi-Maleh, H. (2022). A review on magnetic sensors for monitoring of hazardous pollutants in water resources. Science of the Total Environment, 824, 153844. DOI:10.1016/j.scitotenv.2022.153844
- 28. Huang, J., Zhang, Y., Bing, H., Peng, J., Dong, F., Gao, J. & Arhonditsis, G. B. (2021). Characterizing the river water quality in China: Recent progress and on-going challenges. Water research, 201, 117309. DOI:10.1016/j.watres.2021.117309
- 29. Ighalo, J.O., Adeniyi, A.G. & Marques, G. (2021). Artificial intelligence for surface water quality monitoring and assessment: a systematic literature analysis. Modeling Earth Systems and Environment, 7, 2, pp. 669-681. DOI:10.1007/s40808-020-01041-z
- 30. Ikhlas, N. & Ramadan, B.S. (2024). Community-based watershed management (CBWM) for climate change adaptation and mitigation: Research trends, gaps, and factors assessment. Journal of Cleaner Production, 434, 140031. DOI:10.1016/j.jclepro.2023.140031
- 31. Jiang, J., Tang, S., Han, D., Fu, G., Solomatine, D. & Zheng, Y. (2020). A comprehensive review on the design and optimization of surface water quality monitoring networks. Environmental Modelling & Software, 132, 104792. DOI:10.1016/j.envsoft.2020.104792
- 32. Kamyab, H., Khademi, T., Chelliapan, S., SaberiKamarposhti, M., Rezania, S., Yusuf, M., Farajnezhad, M., Abbas, M., Hun Jeon, B. & Ahn, Y. (2023). The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management. Results in Engineering, 20, 101566. DOI:10.1016/j.rineng.2023.101566
- 33. Kasavan, S., Yusoff, S., Rahmat Fakri, M.F. & Siron, R. (2021). Plastic pollution in water ecosystems: A bibliometric analysis from 2000 to 2020. Journal of Cleaner Production, 313, 127946. DOI:10.1016/j.jclepro.2021.127946
- 34. Khan, R.M., Salehi, B., Mahdianpari, M., Mohammadimanesh, F., Mountrakis, G. & Quackenbush, L.J. (2021). A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective. Remote Sensing, 13(21). Retrieved from DOI:10.3390/rs13214347
- 35. Lamaro, A.A., Mariñelarena, A., Torrusio, S.E. & Sala, S.E. (2013). Water surface temperature estimation from Landsat 7 ETM+ thermal infrared data using the generalized single-channel method: Case study of Embalse del Río Tercero (Córdoba, Argentina). Advances in Space Research, 51, 3, pp. 492-500. DOI:10.1016/j.asr.2012.09.032
- 36. Łaszczyca, P., Nakonieczny, M. & Kostecki, M. (2023). Ecotoxicological biotests as tools for continuous monitoring of water quality in dam reservoirs. Archives of Environmental Protection, 49,1, pp. 25-38. DOI:10.24425/aep.2023.144734
- 37. Latwal, A., Rehana, S. & Rajan, K. (2023). Detection and mapping of water and chlorophyll-a spread using Sentinel-2 satellite imagery for water quality assessment of inland water bodies. Environmental Monitoring and Assessment, 195, 11, 1304. DOI:10.1007/s10661-023-11874-7
- 38. Lee, S., Ryu, Y., Park, H.-J., Lee, I.-S. & Chae, Y. (2022). Characteristics of five-phase acupoints from data mining of randomized controlled clinical trials followed by multidimensional scaling. Integrative Medicine Research, 11, 2, 100829. DOI:10.1016/j.imr.2021.100829
- 39. Leong, C. (2021). Narratives and water: A bibliometric review. Global Environmental Change, 68, 102267. DOI:10.1016/j.gloenvcha.2021.102267
- 40. Li, J., Tian, L., Wang, Y., Jin, S., Li, T. & Hou, X. (2021). Optimal sampling strategy of water quality monitoring at high dynamic lakes: A remote sensing and spatial simulated annealing integrated approach. Science of the Total Environment, 777, 146113. DOI:10.1016/j.scitotenv.2021.146113
- 41. Lindgren, B.-M., Lundman, B. & Graneheim, U.H. (2020). Abstraction and interpretation during the qualitative content analysis process. International Journal of Nursing Studies, 108, 103632. DOI:10.1016/j.ijnurstu.2020.103632
- 42. Locke, K.A. (2024). Modelling relationships between land use and water quality using statistical methods: A critical and applied review. Journal of Environmental Management, 362, 121290. DOI:10.1016/j.jenvman.2024.121290
- 43. Madzík, P. & Falát, L. (2022). State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling. PLoS One, 17, 5, e0268777. DOI:10.1371/journal.pone.0268777
- 44. Mashala, M.J., Dube, T., Mudereri, B.T., Ayisi, K.K. & Ramudzuli, M.R. (2023). A systematic review on advancements in remote sensing for assessing and monitoring land use and land cover changes impacts on surface water resources in semi-arid tropical environments. Remote Sensing, 15, 16, 3926. DOI:10.3390/rs15163926
- 45. Matos, T., Martins, M.S., Henriques, R. & Goncalves, L.M. (2024). A review of methods and instruments to monitor turbidity and suspended sediment concentration. Journal of Water Process Engineering, 64, 105624. DOI:10.1016/j.jwpe.2024.105624
- 46. Muhirwa, F., Shen, L., Elshkaki, A., Zhong, S., Hu, S., Hirwa, H., Chiaka, J. C., Umarishavu, F. & Mulinga, N. (2022). Ecological balance emerges in implementing the water-energy-food security nexus in well-developed countries in Africa. Science of the Total Environment, 833, 154999. DOI:10.1016/j.scitotenv.2022.154999
- 47. Nobanee, H., Al Hamadi, F.Y., Abdulaziz, F.A., Abukarsh, L.S., Alqahtani, A.F., AlSubaey, S.K., Alqahtani, S.M. & Almansoori, H.A. (2021). A Bibliometric Analysis of Sustainability and Risk Management. Sustainability, 13, 6, 3277. DOI:10.3390/su13063277
- 48. Obaid, A.A., Ali, K.A., Abiye, T.A. & Adam, E. M. (2021). Assessing the utility of using current generation high-resolution satellites (Sentinel 2 and Landsat 8) to monitor large water supply dam in South Africa. Remote Sensing Applications: Society and Environment, 22, 100521. DOI:10.1016/j.rsase.2021.100521
- 49. Okafor, C.C., Aigbavboa, C. & Thwala, W.D. (2023). A bibliometric evaluation and critical review of the smart city concept-making a case for social equity. Journal of Science and Technology Policy Management, 14, 3, pp. 487-510. DOI:10.1108/JSTPM-06-2020-0098
- 50. Page, M.J., McKenzie, J.E., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Akl, E.A. & Brennan, S.E. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372. DOI:10.1186/s13643-021-01626-4
- 51. Paraskevi, M., Pau, G.-G., Ada, P., Annette, B.-P. & Tenna, R. (2022). Weed cutting in a large river reduces ecosystem metabolic rates in the case of River Gudenå (Denmark). Journal of Environmental Management, 314, 115014. DOI:10.1016/j.jenvman.2022.115014
- 52. Paraskevopoulos, A.L. & Singels, A. (2014). Integrating soil water monitoring technology and weather-based crop modelling to provide improved decision support for sugarcane irrigation management. Computers and Electronics in Agriculture, 105, pp. 44-53. DOI:10.1016/j.compag.2014.04.007
- 53. Pham-Duc, B., Nguyen, H., Phan, H. & Tran-Anh, Q. (2023). Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database. Earth Science Informatics, 16, 3, pp. 2355-2371. DOI:10.1007/s12145-023-01035-2
- 54. Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World. Publications, 9, 1, 12. DOI:10.3390/publications9010012
- 55. Rajaee, T., Khani, S. & Ravansalar, M. (2020). Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review. Chemometrics and Intelligent Laboratory Systems, 200, 103978. DOI:10.1016/j.chemolab.2020.103978
- 56. Ramadan, E.M., Moussa, A., Magdy, A. & Negm, A. (2024). Integration of hydrodynamic and water quality modeling to mitigate the effects of spill pollution into the Nile River, Egypt. Environmental Science and Pollution Research, 1-19. DOI:10.1007/s11356-024-34216-7
- 57. Razguliaev, N., Flanagan, K., Muthanna, T. & Viklander, M. (2024). Urban stormwater quality: A review of methods for continuous field monitoring. Water research, 249, 120929. DOI:10.1016/j.watres.2023.120929
- 58. Sagan, V., Peterson, K.T., Maimaitijiang, M., Sidike, P., Sloan, J., Greeling, B.A., Maalouf, S. & Adams, C. (2020). Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing. Earth-Science Reviews, 205, 103187. DOI:10.1016/j.earscirev.2020.103187
- 59. Sarminingsih, A., Juliani, H., Budihardjo, M.A., Puspita, A.S. & Mirhan, S.A.A. (2024). Water quality monitoring system for temperature, pH, Turbidity, DO, BOD, and COD parameters based on internet of things in the Garang watershed. Ecological Engineering & Environmental Technology, 25. DOI:10.12912/27197050/174412
- 60. Shakak, N.B.I. (2022). Simulation of Environmental Pollution Using Advance Technology and Modeling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, pp. 23-29. DOI:10.5194/isprs-archives-XLIII-B4-2022-23-2022
- 61. Singh, S., Bhardwaj, A. & Verma, V.K. (2020). Remote sensing and GIS based analysis of temporal land use/land cover and water quality changes in Harike wetland ecosystem, Punjab, India. Journal of Environmental Management, 262, 110355. DOI:10.1016/j.jenvman.2020.110355
- 62. Sun, Q., Yan, Z., Wang, J., Chen, J.-A., Li, X., Shi, W., Liu, J. & Li, S.-L. (2024). Evaluating impacts of climate and management on reservoir water quality using environmental fluid dynamics code. Science of the Total Environment, 947, 174608. DOI:10.1016/j.scitotenv.2024.174608
- 63. Syeed, M.M.M., Hossain, M.S., Karim, M.R., Uddin, M.F., Hasan, M. & Khan, R.H. (2023). Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review. Environmental and Sustainability Indicators, 18, 100247. DOI:10.1016/j.indic.2023.100247
- 64. Tanjung, R.H.R., Indrayani, E., Agamawan, L.P.I. & Hamuna, B. (2024). Water quality assessment to determine the trophic state and suitability of Lake Sentani (Indonesia) for various utilisation purposes. Water Cycle, 5, pp. 99-108. DOI:10.1016/j.watcyc.2024.02.006
- 65. Taufik & Nuqoba, B. (2019). The geographic information system dashboard prototype of Brantas River, East Java. IOP Conference Series: Earth and Environmental Science, 245, 012052. DOI:10.1088/1755-1315/245/1/012052
- 66. Tavakoli, A., Kerachian, R., Nikoo, M.R., Soltani, M. & Estalaki, S.M. (2014). Water and waste load allocation in rivers with emphasis on agricultural return flows: application of fractional factorial analysis. Environmental Monitoring and Assessment, 186, pp. 5935-5949. DOI:10.1007/s10661-014-3830-6
- 67. Tomojiri, D., Takaya, K. & Ise, T. (2022). Temporal trends and spatial distribution of research topics in anthropogenic marine debris study: Topic modelling using latent Dirichlet allocation. Marine Pollution Bulletin, 182, 113917. DOI:10.1016/j.marpolbul.2022.113917
- 68. Topp, S.N., Pavelsky, T.M., Jensen, D., Simard, M. & Ross, M.R. (2020). Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications. Water, 12, 1, 169. DOI:10.3390/w12010169
- 69. Uddin, M.G., Nash, S. & Olbert, A.I. (2021). A review of water quality index models and their use for assessing surface water quality. Ecological Indicators, 122, 107218. DOI:10.1016/j.ecolind.2020.107218
- 70. Uddin, M.G., Nash, S., Rahman, A. & Olbert, A.I. (2022). A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment. Water research, 219, 118532. DOI:10.1016/j.watres.2022.118532
- 71. Vane, C.H., Kim, A.W., Lopes dos Santos, R.A., Gill, J.C., Moss-Hayes, V., Mulu, J.K., Mackie, J.R., Ferreira, A.M.P.J., Chenery, S.R. & Olaka, L.A. (2022). Impact of organic pollutants from urban slum informal settlements on sustainable development goals and river sediment quality, Nairobi, Kenya, Africa. Applied Geochemistry, 146, 105468. DOI:10.1016/j.apgeochem.2022.105468
- 72. Vélez-Nicolás, M., García-López, S., Barbero, L., Ruiz-Ortiz, V. & Sánchez-Bellón, Á. (2021). Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review. Remote Sensing, 13, 7. DOI:10.3390/rs13071359
- 73. Wahyuningrum, I.F.S., Humaira, N.G., Budihardjo, M.A., Arumdani, I.S., Puspita, A.S., Annisa, A.N., Sari, A.M. & Djajadikerta, H.G. (2023). Environmental sustainability disclosure in Asian countries: Bibliometric and content analysis. Journal of Cleaner Production, 411, 137195. DOI:10.1016/j.jclepro.2023.137195
- 74. Webber, J.L., Fletcher, T., Farmani, R., Butler, D. & Melville-Shreeve, P. (2022). Moving to the future of smart stormwater management: A review and framework for terminology, research, and future perspectives. Water research, 218, 118409. DOI:10.1016/j.watres.2022.118409
- 75. Wibowo, Y.G., Ramadan, B.S., Taher, T. & Khairurrijal, K. (2024). Advancements of nanotechnology and nanomaterials in environmental and human protection for combatting the covid-19 during and post-pandemic era: a comprehensive scientific review. Biomedical Materials & Devices, 2, 1, pp. 34-57. DOI:10.1007/s44174-023-00086-9
- 76. Yao, J., Guo, X., Wang, L., & Jiang, H. (2022). Understanding Green Consumption: A Literature Review Based on Factor Analysis and Bibliometric Method. Sustainability, 14, 14, 8324. DOI:10.3390/su14148324
- 77. Ye, X., Zhang, B., Lee, K., Storesund, R., Song, X., Kang, Q., Li, P. & Chen, B. (2024). A multi-criteria simulation-optimization coupling approach for effective emergency response in marine oil spill accidents. Journal of Hazardous Materials, 469, 133832. DOI:10.1016/j.jhazmat.2024.133832
- 78. Yuan, L., Sinshaw, T. & Forshay, K.J. (2020). Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models. Geosciences, 10, 1, 25. DOI:10.3390/geosciences10010025
- 79. Zabłocki, S., Murat-Błażejewska, S., Trzeciak, J.A. & Błażejewski, R. (2022). High-resolution mapping to assess risk of groundwater pollution by nitrates from agricultural activities in Wielkopolska Province, Poland. Archives of Environmental Protection, 48, 1, pp. 41-57. DOI:10.24425/aep.2022.140544
- 80. Zhang, F., Chen, Y., Wang, W., Jim, C.Y., Zhang, Z., Tan, M.L., Liu, C., Chan, N.W., Wang, D., Wang, Z. & Rahman, H.A. (2022). Impact of land-use/land-cover and landscape pattern on seasonal in-stream water quality in small watersheds. Journal of Cleaner Production, 357, 131907. DOI:10.1016/j.jclepro.2022.131907
- 81. Zheng, C., Yuan, J., Zhu, L., Zhang, Y. & Shao, Q. (2020). From digital to sustainable: A scientometric review of smart city literature between 1990 and 2019. Journal of Cleaner Production, 258, 120689. DOI:10.1016/j.jclepro.2020.120689
- 82. Zulkifli, C.Z., Sulaiman, S., Ibrahim, A.B., Soon, C.F., Harun, N.H., Hairom, N.H.H., Setiawan, M.I. & Chiang, H.H. (2022). Smart Platform for Water Quality Monitoring System using Embedded Sensor with GSM Technology. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 95, 1, pp. 54-63. DOI:10.37934/arfmts.95.1.5463
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-af923ecb-2290-4a8d-b022-174c8cbc7e37
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.