{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T20:28:43Z","timestamp":1775939323936,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T00:00:00Z","timestamp":1693440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["2019QZKK0402"],"award-info":[{"award-number":["2019QZKK0402"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["42071238"],"award-info":[{"award-number":["42071238"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2019QZKK0402"],"award-info":[{"award-number":["2019QZKK0402"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071238"],"award-info":[{"award-number":["42071238"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A number of previous studies have contributed to a better understanding of the thermal impacts of dam-related reservoirs on stream temperature, but very few studies have focused on air temperature, especially at the catchment scale. In addition, due to the lack of quantitative analysis, the identification of the effects of water impoundment on regional air temperature is still lacking. We investigated the impacts of reservoirs on the regional air temperature changes before and after two large dam constructions in the lower Jinsha River located in southwest China, by using a 40 year record of reanalysis data at 90 m resolutions. Furthermore, the long short-term memory (LSTM) model was also employed to construct an impoundment effect on the temperature (IET) index. Research results indicate that compared to the pre-impoundment period (1980\u20132012), the variations in the air temperature at the catchment scale were reduced during the post-impoundment period (2013\u20132019). The annual maximum air temperature decreased by 0.4 \u00b0C relative to the natural regimes. In contrast, the cumulative effects of dam-related reservoirs increased the annual mean and minimum air temperature by 0.1 \u00b0C and 1.0 \u00b0C, respectively. Warming effects prevailed during the dry season and in the regions with high elevations, while cooling effects dominated within a 4 km buffer of the reservoirs. Therefore, this study offers important insights about the impacts of anthropogenic impoundments on air temperature changes, which could be useful for policymakers to have a more informed and profound understanding of local climate changes in dammed areas.<\/jats:p>","DOI":"10.3390\/rs15174280","type":"journal-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T11:41:18Z","timestamp":1693482078000},"page":"4280","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Quantifying Water Impoundment-Driven Air Temperature Changes in the Dammed Jinsha River, Southwest China"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3972-7756","authenticated-orcid":false,"given":"Xinzhe","family":"Li","sequence":"first","affiliation":[{"name":"Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Zhou","sequence":"additional","affiliation":[{"name":"Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangbin","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruyun","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7686-1366","authenticated-orcid":false,"given":"Tao","family":"Lu","sequence":"additional","affiliation":[{"name":"Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1038\/s41467-020-20704-0","article-title":"Role of dams in reducing global flood exposure under climate change","volume":"12","author":"Boulange","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"142667","DOI":"10.1016\/j.scitotenv.2020.142667","article-title":"Thermal signatures identify the influence of dams and ponds on stream temperature at the regional scale","volume":"766","author":"Seyedhashemi","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"110833","DOI":"10.1016\/j.rser.2021.110833","article-title":"Ecological impacts of run-of-river hydropower plants\u2014Current status and future prospects on the brink of energy transition","volume":"142","author":"Kuriqi","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.jhydrol.2018.10.033","article-title":"Temporal variations of runoff and sediment load in the upper Yellow River, China","volume":"568","author":"Tian","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"124476","DOI":"10.1016\/j.jhydrol.2019.124476","article-title":"Quantifying the impacts of the Three Gorges Reservoir on water temperature in the middle reach of the Yangtze River","volume":"582","author":"Tao","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"9669","DOI":"10.1029\/2019GL083937","article-title":"Small Ponds in Headwater Catchments Are a Dominant Influence on Regional Nutrient and Sediment Budgets","volume":"46","author":"Schmadel","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1080\/20442041.2018.1469335","article-title":"Effects of dams on riverine biogeochemical cycling and ecology","volume":"8","author":"Wang","year":"2018","journal-title":"Inland Waters"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Asthana, B.N., and Khare, D. (2022). Recent Advances in Dam Engineering, Springer.","DOI":"10.1007\/978-3-030-32278-6"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1038\/s43017-019-0019-0","article-title":"River dam impacts on biogeochemical cycling","volume":"1","author":"Maavara","year":"2020","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_10","first-page":"L04405","article-title":"The influence of large dams on surrounding climate and precipitation patterns","volume":"38","author":"Degu","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"137730","DOI":"10.1016\/j.jclepro.2023.137730","article-title":"Robust optimization of shading types to control the performance of water reservoirs","volume":"415","author":"Albalasmeh","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"135975","DOI":"10.1016\/j.jclepro.2023.135975","article-title":"Optimal dispatching rules of hydropower reservoir in flood season considering flood resources utilization: A case study of Three Gorges Reservoir in China","volume":"388","author":"Xu","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/s41586-019-1111-9","article-title":"Mapping the world\u2019s free-flowing rivers","volume":"569","author":"Grill","year":"2019","journal-title":"Nature"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1111\/j.1365-2427.2009.02179.x","article-title":"Incorporating thermal regimes into environmental flows assessments: Modifying dam operations to restore freshwater ecosystem integrity","volume":"55","author":"Olden","year":"2010","journal-title":"Freshw. Biol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"04014063","DOI":"10.1061\/(ASCE)WR.1943-5452.0000447","article-title":"Optimizing Selective Withdrawal from Reservoirs to Manage Downstream Temperatures with Climate Warming","volume":"141","author":"Rheinheimer","year":"2015","journal-title":"J. Water Resour. Plan. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4866","DOI":"10.1002\/2016JD025978","article-title":"Temperature changes in Three Gorges Reservoir Area and linkage with Three Gorges Project","volume":"122","author":"Song","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Wang, D., Wang, F., Huang, Y., Duan, X., Liu, J., Hu, B., Sun, Z., and Chen, J. (2018). Examining the Effects of Hydropower Station Construction on the Surface Temperature of the Jinsha River Dry-Hot Valley at Different Seasons. Remote Sens., 10.","DOI":"10.3390\/rs10040600"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1038\/s41586-022-05517-z","article-title":"Modern temperatures in central\u2013north Greenland warmest in past millennium","volume":"613","author":"Kipfstuhl","year":"2023","journal-title":"Nature"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Zhou, Z., Yan, Z., Teng, M., and Huang, C. (2019). Climate Change and Its Attribution in Three Gorges Reservoir Area, China. Sustainability, 11.","DOI":"10.3390\/su11247206"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Fonseca, A., and Santos, J.A. (2021). The Impact of a Hydroelectric Power Plant on a Regional Climate in Portugal. Atmosphere, 12.","DOI":"10.3390\/atmos12111400"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"L16704","DOI":"10.1029\/2005GL022821","article-title":"Local climate sensitivity of the Three Gorges Dam","volume":"32","author":"Miller","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1007\/s00704-016-2010-8","article-title":"Impacts of boreal hydroelectric reservoirs on seasonal climate and precipitation recycling as simulated by the CRCM5: A case study of the La Grande River watershed, Canada","volume":"131","author":"Irambona","year":"2018","journal-title":"Theor. Appl. Climatol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"104043","DOI":"10.1088\/1748-9326\/ac263c","article-title":"Impacts of dams and reservoirs on local climate change: A global perspective","volume":"16","author":"Zhao","year":"2021","journal-title":"Environ. Res. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2752","DOI":"10.1007\/s11629-018-4924-3","article-title":"Cumulative impact of dam constructions on streamflow and sediment regime in lower reaches of the Jinsha River, China","volume":"15","author":"Huang","year":"2018","journal-title":"J. Mt. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.geomorph.2018.08.038","article-title":"Sediment load responses to climate variation and cascade reservoirs in the Yangtze River: A case study of the Jinsha River","volume":"322","author":"Li","year":"2018","journal-title":"Geomorphology"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s10750-018-3630-z","article-title":"Cumulative ecological effects of a Neotropical reservoir cascade across multiple assemblages","volume":"819","author":"Dias","year":"2018","journal-title":"Hydrobiologia"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1080\/03610918.2020.1854302","article-title":"Employing long short-term memory and Facebook prophet model in air temperature forecasting","volume":"52","author":"Toharudin","year":"2020","journal-title":"Commun. Stat. Simul. Comput."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5145","DOI":"10.1038\/s41467-022-32483-x","article-title":"Deep learning for twelve hour precipitation forecasts","volume":"13","author":"Espeholt","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"Lecun","year":"2015","journal-title":"Nature"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"105472","DOI":"10.1016\/j.enggeo.2019.105472","article-title":"An effectiveness evaluation method for debris flow control engineering for cascading hydropower stations along the Jinsha River, China","volume":"266","author":"Hu","year":"2020","journal-title":"Eng. Geol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"e2020JB021590","DOI":"10.1029\/2020JB021590","article-title":"Impoundment-Associated Hydro-Mechanical Changes and Regional Seismicity Near the Xiluodu Reservoir, Southwestern China","volume":"126","author":"Zhang","year":"2021","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Chen, Q., Chen, H., Wang, J., Zhao, Y., Chen, J., and Xu, C. (2019). Impacts of Climate Change and Land-Use Change on Hydrological Extremes in the Jinsha River Basin. Water, 11.","DOI":"10.3390\/w11071398"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1007\/s11769-005-0014-x","article-title":"Slope lithologic property, soil moisture condition and revegetation in dry-hot valley of Jinsha River. Chin","volume":"15","author":"Xiong","year":"2005","journal-title":"Geogr. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2182","DOI":"10.1007\/s11629-015-3449-2","article-title":"Impacts of reforestation on woody species composition, species diversity and community structure in dry-hot valley of the Jinsha River, southwestern China","volume":"13","author":"Gong","year":"2016","journal-title":"J. Mt. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"102","DOI":"10.2166\/wcc.2016.126","article-title":"Can monthly precipitation interpolation error be reduced by adding periphery climate stations? A case study in China\u2019s land border areas","volume":"8","author":"Ma","year":"2016","journal-title":"J. Water Clim. Chang."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1109\/LGRS.2017.2786732","article-title":"Unsupervised hyperspectral remote sensing image clustering based on adaptive density","volume":"15","author":"Xie","year":"2018","journal-title":"IEEE Geosci. Remote. Sens. Lett."},{"key":"ref_37","unstructured":"NASA JPL (2022, July 07). NASADEM Merged DEM Global 1 arc Second V001 [Data Set]. NASA EOSDIS Land Processes DAAC. Available online: https:\/\/doi.org\/10.5067\/MEaSUREs\/NASADEM\/NASADEM_HGT.001."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1080\/02693799508902045","article-title":"Interpolating mean rainfall using thin plate smoothing splines","volume":"9","author":"Hutchinson","year":"1995","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Bian, Y., Yue, J., Gao, W., Li, Z., Lu, D., Xiang, Y., and Chen, Y. (2019). Analysis of the Spatiotemporal Changes of Ice Sheet Mass and Driving Factors in Greenland. Remote Sens., 11.","DOI":"10.3390\/rs11070862"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.gloplacha.2016.10.019","article-title":"Identifying long-term variations in vegetation and climatic variables and their scale-dependent relationships: A case study in Southwest Germany","volume":"147","author":"Liu","year":"2016","journal-title":"Glob. Planet. Chang."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Hong, B., and Zhang, J. (2021). Long-Term Trends of Sea Surface Wind in the Northern South China Sea under the Background of Climate Change. J. Mar. Sci., 9.","DOI":"10.3390\/jmse9070752"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2451","DOI":"10.1162\/089976600300015015","article-title":"Learning to Forget: Continual Prediction with LSTM","volume":"12","author":"Gers","year":"2000","journal-title":"Neural Comput."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long Short-Term Memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1109\/TGRS.2018.2864987","article-title":"Scene Classification With Recurrent Attention of VHR Remote Sensing Images","volume":"57","author":"Wang","year":"2019","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Peng, K., Radivojac, P., Vucetic, S., Dunker, A.K., and Obradovic, Z. (2006). Length-dependent prediction of protein intrinsic disorder. BMC Bioinform., 7.","DOI":"10.1186\/1471-2105-7-208"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"4215","DOI":"10.1038\/s41598-023-30387-4","article-title":"Mosquito swarm counting via attention-based multi-scale convolutional neural network","volume":"13","author":"Chen","year":"2023","journal-title":"Sci. Rep."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"L13806","DOI":"10.1029\/2006GL026780","article-title":"Three Gorges Dam affects regional precipitation","volume":"33","author":"Wu","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2072","DOI":"10.1002\/2013WR014448","article-title":"Heat flux modifications related to climate-induced warming of large European lakes","volume":"50","author":"Fink","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1016\/j.apr.2020.04.014","article-title":"Occurrence, sources and seasonal variation of PM2.5 carbonaceous aerosols in a water level fluctuation zone in the Three Gorges Reservoir, China","volume":"11","author":"Wang","year":"2020","journal-title":"Atmos. Pollut. Res."},{"key":"ref_51","unstructured":"Arent, D.J., Tol, R.S., Faust, E., Hella, J.P., Kumar, S., Strzepek, K.M., T\u00f3th, F.L., Yan, D., Abdulla, A., and Kheshgi, H. (2015). Climate Change 2014 Impacts, Adaptation and Vulnerability: Part A: Global and Sectoral Aspects, Cambridge University Press."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"109415","DOI":"10.1016\/j.rser.2019.109415","article-title":"Climate change impacts on renewable energy generation. A review of quantitative projections","volume":"116","author":"Solaun","year":"2019","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_53","first-page":"229","article-title":"Vulnerability of water resources in the face of potential climate change: Generation of hydroelectric power in Colombia","volume":"22","author":"Conde","year":"2009","journal-title":"Atm\u00f3sfera"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.cosust.2009.10.009","article-title":"Lifestyles and climate change: Link awaiting activation","volume":"1","author":"Roy","year":"2009","journal-title":"Curr. Opin. Environ. Sustain."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/17\/4280\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:43:44Z","timestamp":1760129024000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/17\/4280"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,31]]},"references-count":54,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["rs15174280"],"URL":"https:\/\/doi.org\/10.3390\/rs15174280","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,31]]}}}