{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:30:24Z","timestamp":1769733024447,"version":"3.49.0"},"reference-count":52,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T00:00:00Z","timestamp":1544486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41871310"],"award-info":[{"award-number":["41871310"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["N17241004"],"award-info":[{"award-number":["N17241004"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["N160104006"],"award-info":[{"award-number":["N160104006"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["N170103009"],"award-info":[{"award-number":["N170103009"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Iron tailings ponds are engineered dam and dyke systems used to capture iron tailings. They are high-risk hazards with high potential energy. If the tailings dam broke, it would pose a serious threat to the surrounding ecological environment, residents\u2019 lives, and property. Rainfall is one of the most important influencing factors causing the tailings dam break. This paper took Chengde Area, a typical iron-producing area, as the study area, and proposed a remote sensing method to evaluate the safety risk of tailings ponds under rainfall condition by using runoff coefficient and catchment area. Firstly, the vegetation coverage in the study area was estimated using the pixel dichotomy model, and the vegetation type was classified by the support vector machine (SVM) method from Landsat 8 OLI image. Based on DEM, the slope of the study area was extracted, and the catchment area of the tailings pond was plotted. Then, taking slope, vegetation coverage, and vegetation type as three influencing factors, the runoff coefficient was constructed by weight assignment of each factor using analytic hierarchy process (AHP) model in both quantitative and qualitative way. Finally, the safety risk of tailings ponds was assessed according to average runoff coefficient and catchment area in the study area. The results showed that there were 124 low-risk tailings ponds, 16 moderate-risk tailings ponds, and 4 high-risk tailings ponds in the study area. This method could be useful for selecting targeted tailings ponds for focused safety monitoring. Necessary monitoring measurements should be carried out for the high-risk and moderate-risk tailings ponds in rainy season.<\/jats:p>","DOI":"10.3390\/s18124373","type":"journal-article","created":{"date-parts":[[2018,12,12]],"date-time":"2018-12-12T03:27:49Z","timestamp":1544585269000},"page":"4373","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Remote Sensing Assessment of Safety Risk of Iron Tailings Pond Based on Runoff Coefficient"],"prefix":"10.3390","volume":"18","author":[{"given":"Defu","family":"Che","sequence":"first","affiliation":[{"name":"Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China"},{"name":"Institute for Geoinformatics &amp; Digital Mine Research, Northeastern University, Shenyang 110819, China"}]},{"given":"Aiman","family":"Liang","sequence":"additional","affiliation":[{"name":"Institute for Geoinformatics &amp; Digital Mine Research, Northeastern University, Shenyang 110819, China"}]},{"given":"Xuexin","family":"Li","sequence":"additional","affiliation":[{"name":"Institute for Geoinformatics &amp; Digital Mine Research, Northeastern University, Shenyang 110819, China"}]},{"given":"Baodong","family":"Ma","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China"},{"name":"Institute for Geoinformatics &amp; Digital Mine Research, Northeastern University, Shenyang 110819, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.mineng.2009.12.003","article-title":"Incorporating sustainable development principles into minerals processing design and operation: SUSOP\u00ae","volume":"23","author":"Corder","year":"2010","journal-title":"Miner. Eng."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.mineng.2009.10.002","article-title":"Low grade ores\u2014Smelt, leach or concentrate?","volume":"23","author":"Norgate","year":"2010","journal-title":"Miner. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.gexplo.2012.09.004","article-title":"Assessment of the lead and zinc contents in natural soils and tailing ponds from the Cartagena-La Uni\u00f3n mining district, SE Spain","volume":"124","author":"Acosta","year":"2013","journal-title":"J. Geochem. Explor."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.jclepro.2018.03.074","article-title":"Biological damage to Sprague-Dawley rats by excessive anions contaminated groundwater from rare earth metals tailings pond seepage","volume":"185","author":"He","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"8825","DOI":"10.1109\/ACCESS.2017.2700474","article-title":"Vegetation Index Differencing for Estimating Foliar Dust in an Ultra-Low-Grade Magnetite Mining Area Using Landsat Imagery","volume":"5","author":"Ma","year":"2017","journal-title":"IEEE Access"},{"key":"ref_6","first-page":"680","article-title":"Application of analytic hierarchy process to tailings pond safety operation analysis","volume":"29","author":"Wang","year":"2008","journal-title":"Rock Soil Mech."},{"key":"ref_7","first-page":"47","article-title":"Study on displacement analysis methods of tailing ponds on-line monitoring system","volume":"7","author":"Li","year":"2011","journal-title":"J. Saf. Sci. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2707","DOI":"10.1007\/s11771-015-2801-6","article-title":"Safety assessment of waste rock dump built on existing tailings ponds","volume":"22","author":"Li","year":"2015","journal-title":"J. Cent. South Univ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s12665-018-7836-1","article-title":"Dynamic characteristics of tailings reservoir under seismic load","volume":"77","author":"Jin","year":"2018","journal-title":"Environ. Earth Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.powtec.2018.07.021","article-title":"Dam-break of mixtures consisting of non-Newtonian liquids and granular particles","volume":"338","author":"Li","year":"2018","journal-title":"Powder Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/S0022-1694(01)00611-4","article-title":"Influence of rainfall spatial variability on flood prediction","volume":"260","author":"Arnaud","year":"2002","journal-title":"J. Hydrol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.iswcr.2018.08.002","article-title":"Effect of spatial scale on runoff coefficient: Evidence from the Ethiopian highlands","volume":"6","author":"Lemma","year":"2018","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.catena.2014.10.010","article-title":"Runoff from tropical alpine grasslands increases with areal extent of wetlands","volume":"125","author":"Mosquera","year":"2015","journal-title":"CATENA"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1002\/(SICI)1099-1085(19980430)12:5<741::AID-HYP622>3.0.CO;2-F","article-title":"Factors influencing surface runoff generation in a Mediterranean semi-arid environment: Chicamo watershed, SE Spain","volume":"12","author":"Albaladejo","year":"1998","journal-title":"Hydrol. Process."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"04015073","DOI":"10.1061\/(ASCE)HE.1943-5584.0001318","article-title":"Curve Number and Runoff Coefficients for Extensive Living Roofs","volume":"21","author":"Hunt","year":"2016","journal-title":"J. Hydrol. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1002\/hyp.5992","article-title":"A comparative fuzzy logic approach to runoff coefficient and runoff estimation","volume":"20","author":"Sen","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.1007\/s12517-013-0892-7","article-title":"Mean runoff coefficient estimation for ungauged streams in the Kingdom of Saudi Arabia","volume":"7","author":"Mattar","year":"2014","journal-title":"Arab. J. Geosci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.1016\/j.jhydrol.2014.09.054","article-title":"Runoff coefficient and average yearly natural aquifer recharge assessment by physiography-based indirect methods for the island of Sardinia (Italy) and its NW area (Nurra)","volume":"519","author":"Ghiglieri","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/S0925-5273(97)00009-1","article-title":"A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming","volume":"56\u201357","author":"Ghodsypour","year":"1998","journal-title":"Int. J. Prod. Econ."},{"key":"ref_20","first-page":"14336","article-title":"Review of the main developments in the analytic hierarchy process","volume":"38","author":"Ishizaka","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s11069-013-0728-5","article-title":"Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances","volume":"69","author":"Pourghasemi","year":"2013","journal-title":"Nat. Hazards"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.ssci.2016.08.027","article-title":"AHP-based analysis of the risk potential of safety incidents: Case study of cranes in the construction industry","volume":"91","author":"Raviv","year":"2017","journal-title":"Saf. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1080\/19475705.2017.1294113","article-title":"Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS","volume":"8","author":"Mojaddadi","year":"2017","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/j.rse.2004.11.003","article-title":"Combination of SRTM3 and repeat ASTER data for deriving alpine glacier flow velocities in the Bhutan Himalaya","volume":"94","author":"Kaab","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/S0034-4257(98)00105-9","article-title":"Application of Imaging Spectrometer Data in Identifying Environmental Pollution Caused by Mining at Rodaquilar, Spain","volume":"68","author":"Ferrier","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/S0034-4257(02)00132-3","article-title":"Mapping mine wastes and analyzing areas affected by selenium-rich water runoff in southeast Idaho using AVIRIS imagery and digital elevation data","volume":"84","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_27","unstructured":"Liang, Y. (2014). Study on the Factors of Rainfall-Runoff Coefficient. [Master\u2019s Thesis, Hunan University]. (In Chinese)."},{"key":"ref_28","first-page":"50","article-title":"Experimental Study on Influence of Watershed Vegetation on Runoff","volume":"31","author":"Qiao","year":"2011","journal-title":"J. China Hydrol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.ecolmodel.2006.04.019","article-title":"Modeling vegetation coverage and soil erosion in the Loess Plateau Area of China","volume":"198","author":"Zhou","year":"2006","journal-title":"Ecol. Model."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2006.05.017","article-title":"Classifying rangeland vegetation type and coverage using a Fourier component based similarity measure","volume":"105","author":"Evans","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_31","first-page":"641","article-title":"Effect of LUCC on runoff regulation in watershed in loess gullied-hilly region of China","volume":"40","author":"Zhang","year":"2011","journal-title":"Shuili Xuebao"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1080\/014311698215333","article-title":"The derivation of the green vegetation fraction from NOAA\/AVHRR data for use in numerical weather prediction models","volume":"19","author":"Gutman","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ecoleng.2018.07.025","article-title":"Exploring the influence of vegetation cover, sediment storage capacity and channel dimensions on stone check dam conditions and effectiveness in a large regulated river in M\u00e9xico","volume":"122","author":"Zema","year":"2018","journal-title":"Ecol. Eng."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.neucom.2017.12.029","article-title":"Multi-View Least Squares Support Vector Machines Classification","volume":"282","author":"Houthuys","year":"2018","journal-title":"Neurocomputing"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.still.2016.09.007","article-title":"Effects of tillage practices and slope on runoff and erosion of soil from the Loess Plateau, China, subjected to simulated rainfall","volume":"166","author":"Wang","year":"2017","journal-title":"Soil Tillage Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.proeps.2015.08.025","article-title":"Investigation of Dynamic and Kinematic Landslide Processes by Borehole Tiltmeters and Extensometers","volume":"15","author":"Mentes","year":"2015","journal-title":"Procedia Earth Planetary Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.pcd.2015.09.003","article-title":"Evaluation of empowerment model on indicators of metabolic control in patients with type 2 diabetes, a randomized clinical trial study","volume":"10","author":"Ebrahimi","year":"2016","journal-title":"Prim Care Diabetes"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.automatica.2017.07.051","article-title":"Sparse and distributed Analytic Hierarchy Process","volume":"85","author":"Oliva","year":"2017","journal-title":"Automatica"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.ecoleng.2017.08.033","article-title":"Studying early stage slope protection effects of vegetation communities for Xinnan Highway in China","volume":"110","author":"Cao","year":"2018","journal-title":"Ecol. Eng."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.geoderma.2018.05.026","article-title":"Effects of rainfall intensity on runoff and sediment yields on bare slopes in a karst area, SW China","volume":"330","author":"Yan","year":"2018","journal-title":"Geoderma"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.jhydrol.2009.06.044","article-title":"Controls on event runoff coefficients in the eastern Italian Alps","volume":"375","author":"Norbiato","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"127","DOI":"10.4141\/S04-008","article-title":"Digital elevation modelling of soil type and drainage within small forested catchments","volume":"85","author":"Case","year":"2005","journal-title":"Can. J. Soil Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.jhydrol.2011.09.021","article-title":"Effects of land cover on runoff coefficient","volume":"410","author":"Sriwongsitanon","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_44","first-page":"9","article-title":"Influences of shrubs-herbs-arbor vegetation coverage on the runoff based on the remote sensing data in Loess Plateau","volume":"69","author":"Liu","year":"2014","journal-title":"Acta Geogr. Sin."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.jhydrol.2004.02.017","article-title":"Scale effect on runoff from experimental plots to catchments in agricultural areas in Normandy","volume":"299","author":"Cerdan","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Ma, B., Liang, S., Liang, C., and Li, Y.J. (2017). Experimental Research on an Improved Slope Protection Structure in the Plunge Pool of a High Dam. Water, 9.","DOI":"10.3390\/w9090671"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.apgeochem.2014.09.010","article-title":"Mine tailings dams: Characteristics, failure, environmental impacts, and remediation","volume":"51","author":"Kossoff","year":"2014","journal-title":"Appl. Geochem."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1007\/s11069-016-2611-7","article-title":"A method predicting the earthquake-induced landslide risk by back analyses of past landslides and its application in the region of the Wenchuan 12\/5\/2008 earthquake","volume":"85","author":"Di","year":"2017","journal-title":"Nat. Hazards"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"523","DOI":"10.5194\/nhess-3-523-2003","article-title":"Numerical modelling of large landslides stability and runout","volume":"3","author":"Crosta","year":"2003","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1139\/t04-052","article-title":"A model for the analysis of rapid landslide motion across three-dimensional terrain","volume":"41","author":"McDougall","year":"2004","journal-title":"Can. Geotech. J."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/nag.705","article-title":"A depth-integrated, coupled SPH model for flow-like landslides and related phenomena","volume":"33","author":"Pastor","year":"2009","journal-title":"Int. J. Numer. Anal. Methods Geomech."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1007\/s10346-015-0638-6","article-title":"Analytical and approximate expressions predicting post-failure landslide displacement using the multi-block model and energy methods","volume":"12","author":"Stamatopoulos","year":"2015","journal-title":"Landslides"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/12\/4373\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:33:00Z","timestamp":1760196780000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/12\/4373"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,11]]},"references-count":52,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2018,12]]}},"alternative-id":["s18124373"],"URL":"https:\/\/doi.org\/10.3390\/s18124373","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,11]]}}}