{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:31:33Z","timestamp":1760239893621,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T00:00:00Z","timestamp":1547164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The scale effects of digital elevation models (DEM) on hydrology and nonpoint source (NPS) pollution simulations have been widely reported for natural watersheds but seldom studied for urban catchments. In this study, the scale effect of DEM data on the rainfall-runoff and NPS pollution was studied in a typical urban catchment in China. Models were constructed based on the DEM data of nine different resolutions. The conventional model performance indicators and the information entropy method were applied together to evaluate the scale effects. Based on the results, scaling effects and a resolution threshold of DEM data exist for urban NPS pollution simulations. Compared with natural watersheds, the urban NPS pollution simulations were primarily affected by the local terrain due to the overall flat terrain and dense sewer inlet distribution. The overland process simulation responded more sensitively than the catchment outlet, showing prolonged times of concentration for impervious areas with decreasing DEM resolution. The diverse spatial distributions and accumulation magnitudes of pollutants could lead to different simulation responses to scaling effects. This paper provides information about the specific characteristics of the scale effects of DEM data in a typical urban catchment, and these results can be extrapolated to other similar catchments as a reference for data collection.<\/jats:p>","DOI":"10.3390\/e21010053","type":"journal-article","created":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T11:36:42Z","timestamp":1547206602000},"page":"53","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations"],"prefix":"10.3390","volume":"21","author":[{"given":"Ying","family":"Dai","sequence":"first","affiliation":[{"name":"State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pu","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuechen","family":"Xiao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6620-1943","authenticated-orcid":false,"given":"Zhenyao","family":"Shen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.ecoleng.2016.11.028","article-title":"A scientometrics review on nonpoint source pollution research","volume":"99","author":"Xiang","year":"2017","journal-title":"Ecol. Eng."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jhydrol.2011.03.019","article-title":"Spatiotemporal dynamics of landscape pattern and hydrologic process in watershed systems","volume":"404","author":"Randhir","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1134\/S0097807814050170","article-title":"Soil erosion and pollutant transport during rainfall-runoff processes","volume":"41","author":"He","year":"2014","journal-title":"Water Resour."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.jhydrol.2016.03.026","article-title":"An overview of current applications, challenges, and future trends in distributed process-based models in hydrology","volume":"537","author":"Fatichi","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.jhydrol.2014.03.013","article-title":"Spatial resolution considerations for urban hydrological modelling","volume":"512","author":"Krebs","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Morgan, A., Olivier, D., Nathalie, B., Claire-Marie, D., and Philippe, G. (2016, January 21\u201326). High-resolution modelling with bi-dimensional shallow water equations based codes-High-resolution topographic data use for flood hazard assessment over urban and industrial environments. Proceedings of the 12th International Conference on Hydroinformatics (Hic 2016)\u2014Smart Water for the Future, Incheon, Korea.","DOI":"10.1016\/j.proeng.2016.07.453"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.agwat.2012.12.005","article-title":"A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling","volume":"118","author":"Shen","year":"2013","journal-title":"Agric. Water Manag."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11356-018-1377-8","article-title":"Effects of the spatial resolution of urban drainage data on nonpoint source pollution prediction","volume":"25","author":"Dai","year":"2018","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.jhydrol.2018.05.010","article-title":"Effect of inlet modelling on surface drainage in coupled urban flood simulation","volume":"562","author":"Jang","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"86","DOI":"10.5004\/dwt.2017.11450","article-title":"Quantification of nonpoint source pollutants discharged from the combined sewer system in the Nakdong River Basin, Korea, using SWMM","volume":"70","author":"Shin","year":"2017","journal-title":"Desalin. Water Treat."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"732","DOI":"10.2175\/106143017X14902968254665","article-title":"Predictions of diffuse pollution by the HSPF model and the back-propagation neural network model","volume":"89","author":"Chang","year":"2017","journal-title":"Water Environ. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1007\/s11269-014-0890-x","article-title":"A comprehensive study of the effect of input data on hydrology and non-point source pollution modeling","volume":"29","author":"Wang","year":"2015","journal-title":"Water Resour. Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.jhydrol.2018.02.034","article-title":"Quantifying nonpoint source emissions and their water quality responses in a complex catchment: A case study of a typical urban-rural mixed catchment","volume":"559","author":"Chen","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.watres.2014.01.018","article-title":"Uncertainty of SWAT model at different DEM resolutions in a large mountainous watershed","volume":"53","author":"Zhang","year":"2014","journal-title":"Water Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.jhydrol.2016.06.019","article-title":"Impacts of DEM uncertainties on critical source areas identification for non-point source pollution control based on SWAT model","volume":"540","author":"Xu","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_16","first-page":"38","article-title":"Defining optimal DEM resolutions and point densities for modelling hydrologically sensitive areas in agricultural catchments dominated by microtopography","volume":"54","author":"Thomas","year":"2017","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.ymssp.2016.11.019","article-title":"Fusion information entropy method of rolling bearing fault diagnosis based on n-dimensional characteristic parameter distance","volume":"88","author":"Ai","year":"2017","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communications","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Labs Tech. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s12205-008-0281-z","article-title":"Analysis of urban development of Haridwar, India, using entropy approach","volume":"12","author":"Jha","year":"2008","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2579","DOI":"10.1002\/hyp.1466","article-title":"Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip","volume":"18","author":"Mogheir","year":"2010","journal-title":"Hydrol. Process."},{"key":"ref_21","first-page":"1","article-title":"The entropy theory as a tool for modelling and decision-making in environmental and water resources","volume":"26","author":"Singh","year":"2000","journal-title":"Water"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Dai, Y., Chen, L., Zhang, P., Xiao, Y., Hou, X., and Shen, Z. (2018). Construction of a cellular automata-based model for rainfall-runoff and NPS pollution simulation in an urban catchment. J. Hydrol.","DOI":"10.1016\/j.jhydrol.2018.11.029"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.ecolind.2014.08.019","article-title":"Impact of landscape pattern at multiple spatial scales on water quality: A case study in a typical urbanised watershed in China","volume":"48","author":"Shen","year":"2015","journal-title":"Ecol. Indic."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.envsoft.2016.06.017","article-title":"Design and implementation of a general software library for using NSGA-II with SWAT for multi-objective model calibration","volume":"84","author":"Ercan","year":"2016","journal-title":"Environ. Modell. Softw."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1016\/j.scitotenv.2018.07.463","article-title":"An investigation on water quality variability and identification of ideal monitoring locations by using entropy based disorder indices","volume":"647","author":"Singh","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Chen, L., Sun, C., Wang, G., Xie, H., and Shen, Z. (2017). Modeling multi-event non-point source pollution in a data-scarce catchment using ANN and entropy analysis. Entropy, 19.","DOI":"10.3390\/e19060265"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1109\/TIT.1959.1057523","article-title":"Direction of change with refinement for unweighted and weighted information-entropy functionals","volume":"5","author":"Leipnik","year":"1959","journal-title":"IRE Trans. Inform. Theory"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1932","DOI":"10.1016\/j.envpol.2011.03.019","article-title":"Urban nonpoint source pollution buildup and washoff models for simulating storm runoff quality in the Los Angeles County","volume":"159","author":"Wang","year":"2011","journal-title":"Environ. Pollut."}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/21\/1\/53\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:25:09Z","timestamp":1760185509000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/21\/1\/53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,11]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1]]}},"alternative-id":["e21010053"],"URL":"https:\/\/doi.org\/10.3390\/e21010053","relation":{},"ISSN":["1099-4300"],"issn-type":[{"type":"electronic","value":"1099-4300"}],"subject":[],"published":{"date-parts":[[2019,1,11]]}}}