Cargando…
Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514160/ https://www.ncbi.nlm.nih.gov/pubmed/33266769 http://dx.doi.org/10.3390/e21010053 |
_version_ | 1783586524111044608 |
---|---|
author | Dai, Ying Chen, Lei Zhang, Pu Xiao, Yuechen Shen, Zhenyao |
author_facet | Dai, Ying Chen, Lei Zhang, Pu Xiao, Yuechen Shen, Zhenyao |
author_sort | Dai, Ying |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7514160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75141602020-11-09 Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations Dai, Ying Chen, Lei Zhang, Pu Xiao, Yuechen Shen, Zhenyao Entropy (Basel) Article 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. MDPI 2019-01-11 /pmc/articles/PMC7514160/ /pubmed/33266769 http://dx.doi.org/10.3390/e21010053 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dai, Ying Chen, Lei Zhang, Pu Xiao, Yuechen Shen, Zhenyao Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations |
title | Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations |
title_full | Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations |
title_fullStr | Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations |
title_full_unstemmed | Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations |
title_short | Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations |
title_sort | scaling effects of elevation data on urban nonpoint source pollution simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514160/ https://www.ncbi.nlm.nih.gov/pubmed/33266769 http://dx.doi.org/10.3390/e21010053 |
work_keys_str_mv | AT daiying scalingeffectsofelevationdataonurbannonpointsourcepollutionsimulations AT chenlei scalingeffectsofelevationdataonurbannonpointsourcepollutionsimulations AT zhangpu scalingeffectsofelevationdataonurbannonpointsourcepollutionsimulations AT xiaoyuechen scalingeffectsofelevationdataonurbannonpointsourcepollutionsimulations AT shenzhenyao scalingeffectsofelevationdataonurbannonpointsourcepollutionsimulations |