{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T11:20:00Z","timestamp":1784719200786,"version":"3.55.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T00:00:00Z","timestamp":1734566400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T00:00:00Z","timestamp":1734566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Environ Monit Assess"],"DOI":"10.1007\/s10661-024-13478-1","type":"journal-article","created":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T07:51:01Z","timestamp":1734594661000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["How does air quality reflect the land cover changes: remote sensing approach using Sentinel data"],"prefix":"10.1007","volume":"197","author":[{"given":"Pamela","family":"Guam\u00e1n-Pintado","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evelyn","family":"Uuemaa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danilo","family":"Mejia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Szil\u00e1rd","family":"Szab\u00f3","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,19]]},"reference":[{"issue":"9","key":"13478_CR1","doi-asserted-by":"publisher","first-page":"1429","DOI":"10.3390\/agriculture12091429","volume":"12","author":"K Abida","year":"2022","unstructured":"Abida, K., Barbouchi, M., Boudabbous, K., et al. (2022). Sentinel-2 data for land use mapping: Comparing different supervised classifications in semi-arid areas. Agriculture, 12(9), 1429.","journal-title":"Agriculture"},{"issue":"6","key":"13478_CR2","doi-asserted-by":"publisher","first-page":"15505","DOI":"10.1007\/s11356-022-23177-4","volume":"30","author":"EB Ali","year":"2023","unstructured":"Ali, E. B., Shayanmehr, S., Radmehr, R., et al. (2023). Exploring the impact of economic growth on environmental pollution in South American countries: How does renewable energy and globalization matter? Environmental Science and Pollution Research, 30(6), 15505\u201315522.","journal-title":"Environmental Science and Pollution Research"},{"issue":"19","key":"13478_CR3","doi-asserted-by":"publisher","first-page":"4978","DOI":"10.3390\/rs14194978","volume":"14","author":"S Basheer","year":"2022","unstructured":"Basheer, S., Wang, X., Farooque, A. A., et al. (2022). Comparison of land use land cover classifiers using different satellite imagery and machine learning techniques. Remote Sensing, 14(19), 4978.","journal-title":"Remote Sensing"},{"issue":"11","key":"13478_CR4","doi-asserted-by":"publisher","first-page":"4914","DOI":"10.1021\/es103866b","volume":"45","author":"MJ Bechle","year":"2011","unstructured":"Bechle, M. J., Millet, D. B., & Marshall, J. D. (2011). Effects of income and urban form on urban no2: Global evidence from satellites. Environmental science & technology, 45(11), 4914\u20134919.","journal-title":"Environmental science & technology"},{"issue":"3","key":"13478_CR5","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.envres.2005.08.002","volume":"100","author":"ML Bell","year":"2006","unstructured":"Bell, M. L., Davis, D. L., Gouveia, N., et al. (2006). The avoidable health effects of air pollution in three Latin American cities: Santiago, Sao Paulo, and Mexico City. Environmental Research, 100(3), 431\u2013440.","journal-title":"Environmental Research"},{"key":"13478_CR6","doi-asserted-by":"crossref","unstructured":"Bonilla-Bedoya, S., Zalakeviciute, R., Coronel, D. M., et al. (2021). Spatiotemporal variation of forest cover and its relation to air quality in urban Andean socio-ecological systems. Urban Forestry & Urban Greening, 59,","DOI":"10.1016\/j.ufug.2021.127008"},{"key":"13478_CR7","unstructured":"C40-Cities (2022) C40 cities technical assistance report - Quito. Tech. rep., C40 Climate Leadership Group"},{"issue":"36","key":"13478_CR8","doi-asserted-by":"publisher","first-page":"6391","DOI":"10.1016\/S1352-2310(01)00378-8","volume":"35","author":"LJ Clapp","year":"2001","unstructured":"Clapp, L. J., & Jenkin, M. E. (2001). Analysis of the relationship between ambient levels of O3, NO2 and NO as a function of NOx in the UK. Atmospheric Environment, 35(36), 6391\u20136405.","journal-title":"Atmospheric Environment"},{"issue":"10082","key":"13478_CR9","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1016\/S0140-6736(17)30505-6","volume":"389","author":"AJ Cohen","year":"2017","unstructured":"Cohen, A. J., Brauer, M., Burnett, R., et al. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: An analysis of data from the global burden of diseases study 2015. The lancet, 389(10082), 1907\u20131918.","journal-title":"The lancet"},{"issue":"2","key":"13478_CR10","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1080\/24749508.2019.1608409","volume":"4","author":"VS da Silva","year":"2020","unstructured":"da Silva, V. S., Salami, G., da Silva, M. I. O., et al. (2020). Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification. Geology, Ecology, and Landscapes, 4(2), 159\u2013169.","journal-title":"Geology, Ecology, and Landscapes"},{"key":"13478_CR11","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.atmosenv.2015.08.008","volume":"119","author":"A Dore","year":"2015","unstructured":"Dore, A., Carslaw, D., Braban, C., et al. (2015). Evaluation of the performance of different atmospheric chemical transport models and inter-comparison of nitrogen and sulphur deposition estimates for the UK. Atmospheric Environment, 119, 131\u2013143.","journal-title":"Atmospheric Environment"},{"key":"13478_CR12","unstructured":"Empresa P\u00fablica Municipal de Movilidad, Tr\u00e1nsito y Transporte de Cuenca - EMOV EP (2022) Informe de Calidad del Aire de Cuenca 2022. URL https:\/\/ierse.uazuay.edu.ec\/proyectos\/links_doc_contaminantes\/Informes-Calidad-Aire\/Informe_Calidad_Aire_Cuenca_2022.pdf. Accessed:2024-07-12"},{"issue":"8\u20139","key":"13478_CR13","doi-asserted-by":"publisher","first-page":"2078","DOI":"10.1016\/j.envpol.2011.01.010","volume":"159","author":"FJ Escobedo","year":"2011","unstructured":"Escobedo, F. J., Kroeger, T., & Wagner, J. E. (2011). Urban forests and pollution mitigation: Analyzing ecosystem services and disservices. Environmental Pollution, 159(8\u20139), 2078\u20132087.","journal-title":"Environmental Pollution"},{"issue":"21","key":"13478_CR14","doi-asserted-by":"publisher","first-page":"5361","DOI":"10.3390\/rs14215361","volume":"14","author":"S Feng","year":"2022","unstructured":"Feng, S., Li, W., Xu, J., et al. (2022). Land use\/land cover mapping based on gee for the monitoring of changes in ecosystem types in the upper yellow river basin over the Tibetan plateau. Remote Sensing, 14(21), 5361.","journal-title":"Remote Sensing"},{"issue":"3","key":"13478_CR15","doi-asserted-by":"publisher","first-page":"106","DOI":"10.4236\/ars.2022.113007","volume":"11","author":"DB Frimpong","year":"2022","unstructured":"Frimpong, D. B., Twumasi, Y. A., Ning, Z. H., et al. (2022). Assessing the impact of land use and land cover change on air quality in east baton rouge\u2014Louisiana using earth observation techniques. Advances in Remote Sensing, 11(3), 106.","journal-title":"Advances in Remote Sensing"},{"key":"13478_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10661-021-09486-0","volume":"193","author":"E Hawash","year":"2021","unstructured":"Hawash, E., El-Hassanin, A., Amer, W., et al. (2021). Change detection and urban expansion of Port Sudan, Red Sea, using remote sensing and GIS. Environmental Monitoring and Assessment, 193, 1\u201322.","journal-title":"Environmental Monitoring and Assessment"},{"issue":"3","key":"13478_CR17","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1198\/000313006X118430","volume":"60","author":"T Hothorn","year":"2006","unstructured":"Hothorn, T., Hornik, K., Van De Wiel, M. A., et al. (2006). A Lego system for conditional inference. The American Statistician, 60(3), 257\u2013263.","journal-title":"The American Statistician"},{"key":"13478_CR18","doi-asserted-by":"crossref","unstructured":"Huang Y, Lee CK, Yam YS, et\u00a0al (2022) Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality. Science Advances 8(5):eabl7575","DOI":"10.1126\/sciadv.abl7575"},{"issue":"1","key":"13478_CR19","doi-asserted-by":"publisher","first-page":"205","DOI":"10.5194\/amt-13-205-2020","volume":"13","author":"I Ialongo","year":"2020","unstructured":"Ialongo, I., Virta, H., Eskes, H., et al. (2020). Comparison of TROPOMI\/Sentinel-5 Precursor NO2 observations with ground-based measurements in Helsinki. Atmospheric Measurement Techniques, 13(1), 205\u2013218.","journal-title":"Atmospheric Measurement Techniques"},{"key":"13478_CR20","unstructured":"Instituto Nacional de Meteorolog\u00eda e Hidrolog\u00eda (INAMHI) (2019) Bolet\u00edn Agroclim\u00e1tico Nacional - Mayo 2019. URL http:\/\/sipa.agricultura.gob.ec. Accessed: 28 October 2024"},{"key":"13478_CR21","unstructured":"Instituto Nacional de Meteorolog\u00eda e Hidrolog\u00eda (INAMHI) (2022) Bolet\u00edn Agroclim\u00e1tico Nacional - Mayo 2022. URL http:\/\/sipa.agricultura.gob.ec, accessed: 28 October 2024"},{"key":"13478_CR22","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.jes.2020.12.035","volume":"105","author":"Z Jiang","year":"2021","unstructured":"Jiang, Z., Cheng, H., Zhang, P., et al. (2021). Influence of urban morphological parameters on the distribution and diffusion of air pollutants: A case study in China. Journal of Environmental Sciences, 105, 163\u2013172.","journal-title":"Journal of Environmental Sciences"},{"key":"13478_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2024.102039","volume":"22","author":"KH Jodhani","year":"2024","unstructured":"Jodhani, K. H., Gupta, N., Parmar, A. D., et al. (2024). Synergizing google earth engine and earth observations for potential impact of land use\/land cover on air quality. Results in Engineering, 22, 102039.","journal-title":"Results in Engineering"},{"issue":"3","key":"13478_CR24","doi-asserted-by":"publisher","first-page":"130","DOI":"10.26833\/ijeg.644089","volume":"5","author":"G Kaplan","year":"2020","unstructured":"Kaplan, G., & Avdan, Z. Y. (2020). Space-borne air pollution observation from Sentinel-5P TROPOMI: Relationship between pollutants, geographical and demographic data. International Journal of Engineering and Geosciences, 5(3), 130\u2013137.","journal-title":"International Journal of Engineering and Geosciences"},{"key":"13478_CR25","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.envres.2014.09.011","volume":"135","author":"LD Knibbs","year":"2014","unstructured":"Knibbs, L. D., Hewson, M. G., Bechle, M. J., et al. (2014). A national satellite-based land-use regression model for air pollution exposure assessment in Australia. Environmental Research, 135, 204\u2013211.","journal-title":"Environmental Research"},{"issue":"12","key":"13478_CR26","doi-asserted-by":"publisher","first-page":"6957","DOI":"10.1021\/acs.est.7b01148","volume":"51","author":"A Larkin","year":"2017","unstructured":"Larkin, A., Geddes, J. A., Martin, R. V., et al. (2017). Global land use regression model for nitrogen dioxide air pollution. Environmental science & technology, 51(12), 6957\u20136964.","journal-title":"Environmental science & technology"},{"key":"13478_CR27","doi-asserted-by":"crossref","unstructured":"Li Y, Hong T, Gu Y, et\u00a0al (2023) Assessing the spatiotemporal characteristics, factor importance, and health impacts of air pollution in Seoul by integrating machine learning into land-use regression modeling at high spatiotemporal resolutions. Environmental Science & Technology","DOI":"10.1021\/acs.est.2c03027"},{"issue":"6","key":"13478_CR28","doi-asserted-by":"publisher","first-page":"964","DOI":"10.1111\/ina.12274","volume":"26","author":"RA Lucila","year":"2016","unstructured":"Lucila, R. A., Edit, I. V., Fernando, A., et al. (2016). Lower respiratory tract infection in children younger than five years of age and adverse pregnancy outcomes related to household air pollution in Bariloche (Argentina) and Temuco (Chile). Indoor Air, 26(6), 964.","journal-title":"Indoor Air"},{"key":"13478_CR29","doi-asserted-by":"crossref","unstructured":"Luo J, Du P, Samat A, et\u00a0al (2017) Spatiotemporal pattern of pm2. 5 concentrations in mainland China and analysis of its influencing factors using geographically weighted regression. Scientific reports 7(1):40607","DOI":"10.1038\/srep40607"},{"key":"13478_CR30","doi-asserted-by":"crossref","unstructured":"Manisalidis I, Stavropoulou E, Stavropoulos A, et\u00a0al (2020) Environmental and health impacts of air pollution: A review. Frontiers in public health p\u00a014","DOI":"10.3389\/fpubh.2020.00014"},{"issue":"15","key":"13478_CR31","doi-asserted-by":"publisher","first-page":"8889","DOI":"10.5194\/acp-15-8889-2015","volume":"15","author":"PS Monks","year":"2015","unstructured":"Monks, P. S., Archibald, A., Colette, A., et al. (2015). Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer. Atmospheric Chemistry and Physics, 15(15), 8889\u20138973.","journal-title":"Atmospheric Chemistry and Physics"},{"key":"13478_CR32","unstructured":"National Institute of Statistics and Census of Ecuador. (2022). Population data analytics. Retrieved from https:\/\/censoecuador.ecudatanalytics.com\/"},{"issue":"3\u20134","key":"13478_CR33","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.ufug.2006.01.007","volume":"4","author":"DJ Nowak","year":"2006","unstructured":"Nowak, D. J., Crane, D. E., & Stevens, J. C. (2006). Air pollution removal by urban trees and shrubs in the united states. Urban forestry & urban greening, 4(3\u20134), 115\u2013123.","journal-title":"Urban forestry & urban greening"},{"issue":"17","key":"13478_CR34","doi-asserted-by":"publisher","first-page":"2824","DOI":"10.3390\/rs12172824","volume":"12","author":"R Page","year":"2020","unstructured":"Page, R., Lavender, S., Thomas, D., et al. (2020). Identification of tyre and plastic waste from combined Copernicus Sentinel-1 and-2 data. Remote Sensing, 12(17), 2824.","journal-title":"Remote Sensing"},{"issue":"9","key":"13478_CR35","doi-asserted-by":"publisher","first-page":"998","DOI":"10.3390\/atmos11090998","volume":"11","author":"R Parra","year":"2020","unstructured":"Parra, R., & Espinoza, C. (2020). Insights for air quality management from modeling and record studies in Cuenca, Ecuador. Atmosphere, 11(9), 998.","journal-title":"Atmosphere"},{"key":"13478_CR36","first-page":"150","volume":"40","author":"H Riojas-Rodr\u00edguez","year":"2016","unstructured":"Riojas-Rodr\u00edguez, H., da Silva, A. S., Texcalac-Sangrador, J. L., et al. (2016). Air pollution management and control in Latin America and the Caribbean: Implications for climate change. Revista Panamericana de Salud P\u00fablica, 40, 150\u2013159.","journal-title":"Revista Panamericana de Salud P\u00fablica"},{"issue":"4","key":"13478_CR37","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.prrv.2007.08.008","volume":"8","author":"S Salvi","year":"2007","unstructured":"Salvi, S. (2007). Health effects of ambient air pollution in children. Paediatric Respiratory Reviews, 8(4), 275\u2013280.","journal-title":"Paediatric Respiratory Reviews"},{"key":"13478_CR38","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.eneco.2017.04.001","volume":"64","author":"P Sapkota","year":"2017","unstructured":"Sapkota, P., & Bastola, U. (2017). Foreign direct investment, income, and environmental pollution in developing countries: Panel data analysis of Latin America. Energy Economics, 64, 206\u2013212.","journal-title":"Energy Economics"},{"issue":"12","key":"13478_CR39","doi-asserted-by":"publisher","first-page":"2552","DOI":"10.3390\/rs3122552","volume":"3","author":"SD Superczynski","year":"2011","unstructured":"Superczynski, S. D., & Christopher, S. A. (2011). Exploring land use and land cover effects on air quality in central Alabama using GIS and remote sensing. Remote sensing, 3(12), 2552\u20132567.","journal-title":"Remote sensing"},{"issue":"4","key":"13478_CR40","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.3390\/ijerph20042916","volume":"20","author":"G Syuhada","year":"2023","unstructured":"Syuhada, G., Akbar, A., Hardiawan, D., et al. (2023). Impacts of air pollution on health and cost of illness in Jakarta, Indonesia. International Journal of Environmental Research and Public Health, 20(4), 2916.","journal-title":"International Journal of Environmental Research and Public Health"},{"issue":"3\/4","key":"13478_CR41","doi-asserted-by":"publisher","first-page":"194","DOI":"10.21120\/LE\/10\/3-4\/13","volume":"10","author":"S Szabo","year":"2016","unstructured":"Szabo, S., G\u00e1csi, Z., & Balazs, B. (2016). Specific features of NDVI, NDWI and MNDWI as reflected in land cover categories. Acta Geographica Debrecina Landscape & Environment Series, 10(3\/4), 194.","journal-title":"Acta Geographica Debrecina Landscape & Environment Series"},{"issue":"7","key":"13478_CR42","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.3390\/rs12071135","volume":"12","author":"S Talukdar","year":"2020","unstructured":"Talukdar, S., Singha, P., Mahato, S., et al. (2020). Land-use land-cover classification by machine learning classifiers for satellite observations\u2014A review. Remote Sensing, 12(7), 1135.","journal-title":"Remote Sensing"},{"issue":"4","key":"13478_CR43","doi-asserted-by":"publisher","first-page":"1808","DOI":"10.1002\/joc.5297","volume":"38","author":"V Tobar","year":"2018","unstructured":"Tobar, V., & Wyseure, G. (2018). Seasonal rainfall patterns classification, relationship to ENSO and rainfall trends in Ecuador. International Journal of Climatology, 38(4), 1808\u20131819.","journal-title":"International Journal of Climatology"},{"key":"13478_CR44","unstructured":"UNEP (2018) Efforts to reduce air and climate pollutants in Latin America could reap immediate health benefits. URL https:\/\/www.unep.org\/news-and-stories\/story\/efforts-reduce-air-and-climate-pollutants-latin-america-couldreap-immediate, retrieved from UNEP"},{"key":"13478_CR45","unstructured":"U.S. Environmental Protection Agency (EPA). (2021). Air quality and emissions trends report. URL https:\/\/www.epa.gov\/air-trends. Retrieved from EPA"},{"key":"13478_CR46","doi-asserted-by":"crossref","unstructured":"Vadrevu, K., Ohara, T., & Justice, C. (2017). Land cover, land use changes and air pollution in Asia: A synthesis. Environmental Research Letters, 12(12)","DOI":"10.1088\/1748-9326\/aa9c5d"},{"issue":"21","key":"13478_CR47","doi-asserted-by":"publisher","first-page":"3575","DOI":"10.3390\/rs12213575","volume":"12","author":"M V\u00eerghileanu","year":"2020","unstructured":"V\u00eerghileanu, M., S\u0103vulescu, I., Mihai, B. A., et al. (2020). Nitrogen dioxide (NO2) pollution monitoring with Sentinel-5P satellite imagery over Europe during the coronavirus pandemic outbreak. Remote Sensing, 12(21), 3575.","journal-title":"Remote Sensing"},{"key":"13478_CR48","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s10661-006-0888-9","volume":"117","author":"Q Weng","year":"2006","unstructured":"Weng, Q., & Yang, S. (2006). Urban air pollution patterns, land use, and thermal landscape: An examination of the linkage using GIS. Environmental Monitoring and Assessment, 117, 463\u2013489.","journal-title":"Environmental Monitoring and Assessment"},{"key":"13478_CR49","unstructured":"WHO WHO. (2022a). Ambient (outdoor) air pollution. URL https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/ambient-(outdoor)-air-quality-and-health"},{"key":"13478_CR50","unstructured":"WHO WHO. (2022b). Household air pollution. URL https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/household-air-pollution-and-health"},{"key":"13478_CR51","doi-asserted-by":"crossref","unstructured":"Wickham, H. (2009). ggplot2: Elegant graphics for data analysis New York. NY: Springer.","DOI":"10.1007\/978-0-387-98141-3"},{"issue":"20","key":"13478_CR52","doi-asserted-by":"publisher","first-page":"5094","DOI":"10.3390\/rs14205094","volume":"14","author":"J Zhang","year":"2022","unstructured":"Zhang, J., Yang, G., Yang, L., et al. (2022). Dynamic monitoring of environmental quality in the loess plateau from 2000 to 2020 using the google earth engine platform and the remote sensing ecological index. Remote Sensing, 14(20), 5094.","journal-title":"Remote Sensing"}],"container-title":["Environmental Monitoring and Assessment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10661-024-13478-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10661-024-13478-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10661-024-13478-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T03:14:44Z","timestamp":1737515684000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10661-024-13478-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,19]]},"references-count":52,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["13478"],"URL":"https:\/\/doi.org\/10.1007\/s10661-024-13478-1","relation":{},"ISSN":["1573-2959"],"issn-type":[{"value":"1573-2959","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,19]]},"assertion":[{"value":"12 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors have read, understood, and have complied as applicable with the statement on \u201cEthical responsibilities of Authors\u201d as found in the Instructions for Authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Appropval"}},{"value":"The authors declare no competing interests. To view a copy of this license, visit  .","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"73"}}