{"id":24,"date":"2022-07-28T01:50:38","date_gmt":"2022-07-28T01:50:38","guid":{"rendered":"https:\/\/liutonglab.com\/?page_id=24"},"modified":"2026-05-28T01:54:08","modified_gmt":"2026-05-28T01:54:08","slug":"publications","status":"publish","type":"page","link":"https:\/\/liutonglab.com\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">24. Xiao, H., Tang, G., Zhang, S., Wu, Z., Liu, Q., Feng, S., Fan, Y., Liu, T., Qian, X.<em>, <\/em>Li, H.*, 2026. Flux dynamics and scenario simulation of PFAS under extreme hydrological perturbations in urban tributary flowing into the Yangtze River: A focus on floods. <em>Journal of Hazardous Materials<\/em> 503, 141161. <a href=\"https:\/\/doi.org\/10.1016\/j.jhazmat.2026.141161\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jhazmat.2026.141161<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">23. Nie, Q., Liu, T.*, 2026. Large language models for environmental modeling: Framework, capabilities, constraints. <em>Journal of Environmental Management<\/em> 398, 128417. <a href=\"https:\/\/doi.org\/10.1016\/j.jenvman.2025.128417\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jenvman.2025.128417<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">22. Cruz Peraza, E.I., Liu, T.*, 2026. Life Cycle Assessment of road expansion: Baseline environmental impacts in El Salvador. <em>Science of The Total Environment<\/em> 1017, 181501. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2026.181501\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.scitotenv.2026.181501<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">21. Chen, C., Yuan, S., Liu, T.*<em>, <\/em>Cai Z.*, 2026. Perfluorooctanoic acid (PFOA) impairs motor neuron development and locomotor behavior in zebrafish larvae via ROS-mediated oxidative stress. <em>Journal of Hazardous Materials Advances<\/em> 21, 100990. <a href=\"https:\/\/doi.org\/10.1016\/j.hazadv.2025.100990\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.hazadv.2025.100990<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">20. Xiao, H., Liu, K., Deng, L., Yang, W., Sun, L., Yi, A., Zhang, Y., Qian, X., Liu, T., Li, H.*, 2026. Insights into the prediction and driving factors of perfluorinated and polyfluoroalkyl substances in sediments from Taihu Lake of China using machine learning models. <em>Environmental Pollution<\/em> 386, 127294. <a href=\"https:\/\/doi.org\/10.1016\/j.envpol.2025.127294\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.envpol.2025.127294<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">19. <strong>(2025 JHM Best Paper Awards) <\/strong>Deng, L., Liu, K., Fan, Y., Qian, X., Ke, T., Liu, T., Li, M., Xu, X., Yang, D., Li, H. (2025). Interpretable machine learning models reveal the partnership of microplastics and perfluoroalkyl substances in sediments at a century scale. <em>Journal of Hazardous Materials<\/em> 486, 137018. <a href=\"https:\/\/doi.org\/10.1016\/j.jhazmat.2024.137018\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jhazmat.2024.137018<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">18. Nie, Q., Liu, T.* (2025). Large language models: Tools for new environmental decision-making. <em>Journal of Environmental Management<\/em> 375, 124373. <a href=\"https:\/\/doi.org\/10.1016\/j.jenvman.2025.12437318\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jenvman.2025.12437318<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">17. Nie, Q., Liu, T.* (2024). Public complaints of water pollution: A long-term spatiotemporal analysis in Japan. <em>Journal of Cleaner Production<\/em> 482, 144239. <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2024.144239\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jclepro.2024.144239<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">16. Rao, W., Fan, Y., Li, H., Qian, X., <span style=\"text-decoration:underline;\">Liu, T.<\/span>, (2024). New insights into the long-term dynamics and deposition-suspension distribution of atmospheric microplastics in an urban area. <em>Journal of Hazardous Materials<\/em>, 463, 132860. <a href=\"https:\/\/doi.org\/10.1016\/j.jhazmat.2023.132860\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jhazmat.2023.132860<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">15. Wang, S., Liu, T.*, Qian, X., Wang, H., Wang, X., Wei, S., &amp; Chen, H. (2023). Contamination of the urban river network with perfluoroalkyl acids (PFAAs) introduced during river regulations. <em>Science of The Total Environment<\/em>, 893, 164775. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2023.164775\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.scitotenv.2023.164775<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">14. Rao, W., Qian, X., Fan, Y., &amp; Liu, T. (2023). A soft sensor for simulating algal cell density based on dynamic response to environmental changes in a eutrophic shallow lake. <em>Science of the Total Environment<\/em>, 868, 161543. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2023.161543\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.scitotenv.2023.161543<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">13. Wang, S., Liu, T.*, Qian, X., Wang, H., Li, M., Wang, X., Wei, S., &amp; Chen, H. (2023). Microbial plankton responses to perfluoroalkyl acids and their alternatives in the aquatic environment. <em>Journal of Hazardous Materials<\/em>, 441, 129980. <a href=\"https:\/\/doi.org\/10.1016\/j.jhazmat.2022.129980\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.jhazmat.2022.129980<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">12. <strong>(ESI Highly Cited Paper top 1% in Environment\/Ecology) <\/strong>Fan, Y., Zheng, J., Deng, L., Rao, W., Zhang, Q., Liu, T.*, &amp; Qian, X*. (2022). Spatiotemporal dynamics of microplastics in an urban river network area. <em>Water Research<\/em>, <em>212<\/em>, 118116. <a href=\"https:\/\/doi.org\/10.1016\/j.watres.2022.118116\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.watres.2022.118116<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">11. Fan, Y., Liu, T., Qian, X.*, Deng, L., Rao, W., Zhang, Q., Zheng, J., &amp; Gao, X. (2022). Metabolic impacts of polystyrene microplastics on the freshwater microalga Microcystis aeruginosa. <em>Science of the Total Environment<\/em>, <em>836<\/em>, 155655. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155655\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155655<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">10. Lu, H., Yang, L., Fan, Y., Qian, X.*, &amp; Liu, T.* (2022). Novel simulation of aqueous total nitrogen and phosphorus concentrations in Taihu Lake with machine learning. <em>Environmental Research<\/em>, <em>204<\/em>(PB), 111940. <a href=\"https:\/\/doi.org\/10.1016\/j.envres.2021.111940\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.envres.2021.111940<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">9. Zhang, Q., Liu, T., Liu, L., Fan, Y., Rao, W., Zheng, J., &amp; Qian, X*. (2021). Distribution and sedimentation of microplastics in Taihu Lake. <em>Science of The Total Environment<\/em>, <em>795<\/em>, 148745. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2021.148745\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.scitotenv.2021.148745<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">8. Liu, T.*, Qian, X., Wang, S., Wang, H., Wei, S., &amp; Chen, H. (2021). Occurrence and transport of perfluoroalkyl acids (PFAAs) in a Yangtze River water diversion project during water diversion and flooding. <em>Water Research<\/em>, <em>205<\/em>, 117662. <a href=\"https:\/\/doi.org\/10.1016\/j.watres.2021.117662\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.watres.2021.117662<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">7. Lu, H., Li, H., Liu, T., Fan, Y., Yuan, Y., Xie, M., &amp; Qian, X*. (2019). Simulating heavy metal concentrations in an aquatic environment using artificial intelligence models and physicochemical indexes. <em>Science of The Total Environment<\/em>, <em>694<\/em>, 133591. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2019.133591\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.scitotenv.2019.133591<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">6. Liu, T.*, Tsuda, M., &amp; Iwami, Y. (2017). A study on flood forecasting in the Upper Indus Basin considering snow and glacier melt water. <em>Journal of Disaster Research<\/em>, <em>12<\/em>(4), 793\u2013805. <a href=\"10.20965\/jdr.2017.p0793\" target=\"_blank\" rel=\"noopener\" title=\"\">doi: 10.20965\/jdr.2017.p0793<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">5. Liu, T.*, Kinouchi, T., Mendoza, J., &amp; Iwami, Y. (2016). Glacier mass balance and catchment-scale water balance in Bolivian Andes. <em>Journal of Disaster Research<\/em>, <em>11<\/em>(6), 1040\u20131051. <a href=\"doi: 10.20965\/jdr.2016.p1040\">doi: 10.20965\/jdr.2016.p1040<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">4. Liu, T.*, Kinouchi, T., &amp; Ledezma, F. (2013). Characterization of recent glacier decline in the Cordillera Real by LANDSAT, ALOS, and ASTER data. <em>Remote Sensing of Environment<\/em>, <em>137<\/em>, 158\u2013172. <a href=\"https:\/\/doi.org\/10.1016\/j.rse.2013.06.010\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.1016\/j.rse.2013.06.010<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3. Kinouchi, T.*, Liu, T., Mendoza, J., &amp; Asaoka, Y. (2013). Modeling glacier melt and runoff in a high-altitude headwater catchment in the Cordillera Real, Andes. <em>Hydrology and Earth System Sciences Discussions<\/em>, <em>10<\/em>(11), 13093\u201313144. <a href=\"https:\/\/doi.org\/10.5194\/hessd-10-13093-2013\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/doi.org\/10.5194\/hessd-10-13093-2013<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. Liu, T.*, Kinouchi, T., &amp; Ledezma, F. (2013). Spatial distribution of glacier melt deduced from solar radiation mapping with refined atmospheric parameters. <em>Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)<\/em>, <em>69<\/em>(4), 181\u2013186.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1. Liu, T.*, &amp; Kinouchi, T. (2012). Water balance of glacierized catchments in tropics: a case study in Bolivian Andes. <em>Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)<\/em>, <em>68<\/em>(4), 247\u2013252.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Non-English<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">4. Chen, N., Liu, T., &amp; Qian, X. (2022). Calculation and Analysis of Phosphorus Flux of Wangyu River Into and Out from Lake Taihu. <em>Henan Water Resources &amp; South-to-North Water Diversion<\/em>, 7, 94\u201395 (Chinese).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3. Xie, M., Qian, X., Liu, T., Li, X., Fan, Y., Lu, H., &amp; Yuan, Y. (2020). River health assessment based on M-IBI index: Taking Wuxi as an example. <em>Acta Scientiae Circumstantiae<\/em>, <em>40<\/em>, 1\u20139 (Chinese).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. Iwami, Y., Tsuda, M., Yamazaki, Y., &amp; Liu T. (2016). Research and Development and Challenge in Field Application for Strengthening Flood Warning and Management Capacity in Developing Countries. <em>Civil Engineering Journal<\/em>, <em>58<\/em>(12), 10\u201313. (Japanese)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1. Kinouchi, T., Ledezma, F., Liu, T., &amp; Mendoza, J. (2013). Impact of Glacier Disappearance on Runoff from a Glacierized Catchment in the Andes. <em>Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)<\/em>, <em>69<\/em>(4), 415\u2013420. (Japanese)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>24. Xiao, H., Tang, G., Zhang, S., Wu, Z., Liu, Q., Feng, S., Fan, Y., Liu, T., Qian, X., Li, H.*, 2026. Flux dynamics and scenario simulation of PFAS under extreme hydrological perturbations in urban tributary flowing into the Yangtze River: A focus on floods. Journal of Hazardous Materials 503, 141161. https:\/\/doi.org\/10.1016\/j.jhazmat.2026.141161. 23. Nie, Q.,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-24","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/pages\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":9,"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/pages\/24\/revisions"}],"predecessor-version":[{"id":236,"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/pages\/24\/revisions\/236"}],"wp:attachment":[{"href":"https:\/\/liutonglab.com\/index.php\/wp-json\/wp\/v2\/media?parent=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}