Skip to main content

Advertisement

Log in

High-resolution mapping of the rainfall runoff pollution: case study of Shiwuli River watershed, China

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Rainfall runoff is the key factor of water quality deterioration in highly urbanized area, which is characterized by intensive human activities and frequent extreme weather events. Urban landscape system is composed of highly diverse and heterogeneous land patches, which makes the effective management of urban runoff pollution difficult. Therefore, high-resolution land-use data is imperative for the identification and analysis of spatial–temporal characteristics of urban runoff pollution. In this study, Shiwuli River watershed, a rapidly urbanizing area in China, is selected as the study area. We first interpret nine kinds of land-use types with a high-resolution remote sensing data of 2 m \(\times\) 2 m. Then, a localized Soil Conservation Service model based on field observation and rainfall experiments is applied to map the spatial–temporal pattern of runoff pollution. The results indicate that the COD, NH3-N, TP, and TN load generated by the runoff in the watershed accounted for 23.4%, 3.7%, 8.2%, and 9.0% of the total pollution load in 2016, respectively. Furthermore, the spatial–temporal pattern of the assessed runoff pollution was mainly subject to the distribution of rainfall and land-use patterns. We suggest that the sponge city construction combined with surface pollution control is an effective way to reduce the runoff pollution. This study highlights the necessity to identify spatial–temporal hotspots in developing precise pollution control measures, which provides valuable information for pollution control policy-making in Shiwuli River watershed and could serve as a reference for other river watersheds undergoing rapid urbanization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Ajmal M, Moon GW et al (2015) Investigation of SCS-CN and its inspired modified models for runoff estimation in south Korean watersheds. J Hydro-Environ Res 9:592–603

    Google Scholar 

  • Bao HE et al (2001) Precipitation-runoff relationship in farmland nonpoint source pollution research: amending coefficient of SCS hydrologic method. Res Environ Sci 14(3):49–51

    Google Scholar 

  • Booth DB, Hartley D et al (2002) Forest cover, impervious-surface area, and the mitigation of stormwater impacts. Jawra J Am Water Resources Assoc 38:835–845

    Google Scholar 

  • Boughton WC (1989) A review of the USDA SCS curve number method. Soil Res 27(3):511

    Google Scholar 

  • Brinkmann W (1985) Urban stormwater pollutants: sources and loadings. GeoJ 11(3):277–283

    Google Scholar 

  • Brown CF, Brumby SP et al (2022) Dynamic World, Near real-time global 10 m land use land cover mapping. Sci Data 9:251. https://doi.org/10.1038/s41597-022-01307-4

    Article  Google Scholar 

  • Chen XY (2015) Study on the simulation of non-point source pollution in Long River, Three Gorges Reservoir area. Chinese Academy of Forestry. https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CDFDLAST2016&filename=1015622502.nh

  • Corwin DL, Loague K et al (1999) Introduction: assessing non-point source pollution in the Vadose zone with advanced information technologies. Am Geophys Union 108:1–20

    Google Scholar 

  • Deletic AB, Maksimovic CT (1998) Evaluation of water quality factors in storm runoff from paved areas. J Environ Eng-Asce 124(9):869–879

    CAS  Google Scholar 

  • Dietz ME (2007) Low impact development practices: a review of current research and recommendations for future directions. Water Air Soil Pollut 186(1–4):351–363

    CAS  Google Scholar 

  • Fang XZ, Wang XY et al (2007) Application of runoff curve number method (SCS method) in calculation of rainfall runoff—an example of Miyunshixia runoff test district. J Cap Normal Univ 28(1):89–92

    Google Scholar 

  • Fang ZD, Su JJ et al (2021) Output characteristics of nitrogen and phosphorus from non-Point nource pollution of typical land use in s micro-watershed in hilly red soil region. Environ Sci 42(11):11

    Google Scholar 

  • Gabriels K, Willems P (2021) Performance evaluation of spatially distributed, CN-based rainfall-runoff model configurations for implementation in spatial land use optimization analyses. J Hydrol 602:126872

    Google Scholar 

  • GB/T 21010-2017 Current land use classification[S]. Ministry of Natural Resources of China. ICS 07.040

  • Gnecco I, Berretta C et al (2005) Storm water pollution in the urban environment of Genoa, Italy. Atmos Res 77(1–4):60–73

  • Golding BL (1997) Discussion: runoff curve number: has it reached maturity? J Hydrol Eng 2(3):145–148

    Google Scholar 

  • Hamidi A, Ramavandi B, Sorial GA (2021) Sponge City - an emerging concept in sustainable water rresource management: a scientometric analysis. Resources Environ Sustain 5:100028

    Google Scholar 

  • Han YY, Wu H (2015) The applicability and comparative analysis of the improved Xin’anjiang model in the Yinjiang river basin of Guizhou. J Water Resources Water Eng 3:110–114

    Google Scholar 

  • Hawkins RH (2010) Asymptotic determination of curve numbers from rainfall-runoff data. Watershed Planning & Analysis in Action. ASCE

  • Hou XS, Qin L et al (2021) A city-scale fully controlled system for stormwater management: consideration of flooding, non-point source pollution and sewer overflow pollution. J Hydrol 603:127155

    CAS  Google Scholar 

  • Hu Y, Xing Z et al (2022) Analysis and estimation of nonpoint source pollution under different land use in Anjiagou watershed, Gansu, China. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-022-20687-z

  • Huang CB, Zhao DY et al (2022) Landscape dynamics facilitated non-point source pollution control and regional water security of the three gorges reservoir area, China. Environ Impact Assess Rev 92:106696

    Google Scholar 

  • Kayhanian M, Suverkropp C et al (2007) Characterization and prediction of highway runoff constituent event mean concentration. J Environ Manage 85(2):279–295

  • Kong Y, Feng HT (2018) Research on pollution characteristics and emission load of urban rainfall runoff in the Fuxian lake watershed, Yunnan. Environ Sci Surv 37(5):26–32

    Google Scholar 

  • Kuang W, Lei Wu et al (2015) Analysis of pollution sources in chaohu small watershed and research on counter measures-an example of Shiwuli river, Chinese. Environ Protect 05:67–72

    Google Scholar 

  • Lee JH, Bang KW et al (2002) First flush analysis of urban storm runoff. Sci Total Environ 293(1–3):163–175 

  • Lee C, Kim K et al (2018) GIS based optimal impervious surface map generation using various spatial data for urban nonpoint source management. J Environ Manage 206:587–601

    Google Scholar 

  • Li SS, Gitau M et al (2017) Development of a soil moisture-based distributed hydrologic model for determining hydrologically based critical source areas. Hydrol Process 31(20):3543–3557

    Google Scholar 

  • Li Y, Zhou B et al (2018) Analysis of the non-point source pollution load from the storm runoff and its control strategy for Haihe river trunk stream, Tianjin. J Saf Environ 18(1):230–235

    Google Scholar 

  • Li H, Zhou X et al (2022) Research on optimal control of non-point source pollution: a case study from the Danjiang River basin in China. Environ Sci Pollut Res 29(11):15582–15602

    CAS  Google Scholar 

  • Liao YJ, Zhao HT et al (2020) Identifying the risk of urban nonpoint source pollution using an index model based on impervious-pervious spatial pattern. J Clean Prod 288(7):125619

    Google Scholar 

  • Liu J, Chen XH et al (2015) Research on simulation and temporal and spatial distribution of non-point source pollution in Dongjiang river basin. Reg Res Dev 02:154–160

    Google Scholar 

  • Min M, Duan XJ et al (2022) Quantitative simulation of the relationships between cultivated land-use patterns and non-point source pollutant loads at a township scale in Chaohu lake basin, China. Catena 208:105776

    CAS  Google Scholar 

  • Mu J, Shi MC et al (2013) Research on spatial-temporal differentiation of non-point source pollution load in small watershed based on SWAT model– an example of Chenjiagou small watershed in Wanzhou district of Chongqing City. Soil Water Conserv China 9:49–52

    Google Scholar 

  • Pang YJ, Yuan ZW (2021) Quantification of pollutants in rainfall-runoff in plain with dense river networks: a case study in the western bank of Wangyu River, Taihu Basin. J Lake Sci 33(2):439–448

    Google Scholar 

  • Planning Bureau of Hefei City (2017) Sponge City Special Plan in Hefei City (2016–2030)

  • Reshmidevi TV, Jana R et al (2008) Geospatial estimation of soil moisture in rain-fed paddy fields using SCS-CN-based model. Agric Water Manag 95:447–457

    Google Scholar 

  • Shen ZY, Chen L et al (2013) A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling. Agric Water Manag 118:93–102

    Google Scholar 

  • Shen ZY, Qiu JL et al (2014) Simulation of spatial and temporal distributions of non-point source pollution load in the three gorges reservoir region. Sci Total Environ 493(15):138–146

    CAS  Google Scholar 

  • Taebi A, Droste RL et al (2004) Pollution loads in urban runoff and sanitary wastewater. Sci Total Environ 327(1–3):175–184

  • Thomas NW, Ayalew TB et al (2021) Characterizing the effects of dry antecedent soil moisture conditions, channel transmission losses, and variable precipitation on peak flow scaling. Adv Water Resour 158:104061

    Google Scholar 

  • Walega A, Amatya DM (2020) Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the southeastern United States. J Hydrol: Reg Stud 27:100645

    Google Scholar 

  • Wang BL (2005) Improvement of SCS runoff model. Yellow River 27(5):24–26

    CAS  Google Scholar 

  • Wang Y, Huang MB (2008) Application of the SCS-CN method on runoff estimation in small watershed on Loess Plateau. Sci Soil Water Conserv 6(6):87–91

    Google Scholar 

  • Wang SS, Palazzo E (2021) Sponge City and social equity: Impact assessment of urban stormwater management in Baicheng City China. Urban Clim 37:100829

  • Wang ZH, Yin XL (2018) Dynamics of nitrogen, phosphorus, and organic pollutant losses from a small watershed in the drinking-water source protection area in Guiyang City of Southern China. Environ Sci Pollut Res 26(2):1791–1808

    Google Scholar 

  • Wang GS, Zhou JH (1998) The attempt to improve Xin’anjiang model. Hydrology S1:23–27

    Google Scholar 

  • Wang L, Huang YF et al (2010) Review of urban nonpoint source pollution models. Chin Environ Sci 10(31):2532–2540

    Google Scholar 

  • Wang S, He Q et al (2013) Pollutant concentrations and pollution loads in stormwater runoff from different land uses in Chongqing. J Environ Sci 25:502–510

    CAS  Google Scholar 

  • Wang WZ, Chen L et al (2020) Dynamic export coefficient model for evaluating the effects of environmental changes on non-point source pollution. Sci Total Environ 747:141164

    CAS  Google Scholar 

  • Xue JF, Xia J et al (2002) Research progress of non-point source pollution prediction models. Adv Water Sci 13(5):649–656

    CAS  Google Scholar 

  • Yan K, Xu JC et al (2021) Human perturbation on phosphorus cycles in one of China’s most eutrophicated lakes. Resources Environ Sustain 4:100026

    Google Scholar 

  • Yang TH, Dong ZC (2021) The effect of sponge city construction on non-point source load reduction: a case study in the Three Gorges Reservoir area, China. Ecohydrol Hydrobiol 21:223–232

    CAS  Google Scholar 

  • Yuan ZW, Pang YJ et al (2021) Improving quantification of rainfall runoff pollutant loads with consideration of path curb and field ridge. Resources Environ Sustain 6:100042

    Google Scholar 

  • Zhang XM, Cao WH et al (2010) Effects of land use change on surface runoff and sediment yield at different watershed scales on the loess plateau. Int J Sedim Res 25:283–293

    CAS  Google Scholar 

  • Zhao RJ (1984) Watershed hydrological simulation-Xin’anjiang model and northern Shaanxi model. China WaterPower Press, Beijing

    Google Scholar 

  • Zhao Y, Yao RH et al (2015) Study on the practice and route of combating urban black-and-malodorous water body. Chin Environ Protect 43(13):27–29

    Google Scholar 

  • Zhao L, Liu XD et al (2021) N, P, and COD conveyed by urban runoff: a comparative research between a city and a town in the Taihu Basin, China. Environ Sci Pollut Res 28:56686–56695

    CAS  Google Scholar 

Download references

Funding

This work was jointly supported by the National Natural Science Foundation of China (No. 42171273, 41801212, 72004093).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Jiaying Ji, Jianqi Gao, and Xin Liu. The first draft of the manuscript was written by Jiaying Ji, and Lu Xing and Xin Liu commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xin Liu.

Ethics declarations

Ethics approval

This article abides by academic norms, and there is absolutely no academic fraud.

Consent to participate

All authors are actively involved in the paper and agree to the specifications of your journal.

Consent for publication

All authors agree to submit to your journal, one publication, never multiple submissions for one manuscript.

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 864 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ji, J., Gao, J., Xing, L. et al. High-resolution mapping of the rainfall runoff pollution: case study of Shiwuli River watershed, China. Environ Sci Pollut Res 30, 28935–28946 (2023). https://doi.org/10.1007/s11356-022-24171-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-022-24171-6

Keywords

Navigation