Abstract
Estimating the pollution loads in the Tuhai River is essential for developing a water quality standard scheme. This study utilized the improved output coefficient method to estimate the total pollution loads in the river basin while analyzing the influencing factors based on the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model. Findings indicated that the projected point source pollution loads for total phosphorus (TP), chemical oxygen demand (COD), and ammonia nitrogen (AN) would amount to 3937.22 ton, 335,523.25 ton, and 13,946.92 ton in 2021, respectively. Among these, COD pollution would pose the greatest concern. The primary contributors to the pollution loads were rural scattered life, large-scale livestock and poultry breeding, and surface runoff. Per capita GDP emerged as the most influential factor affecting the pollution loads, followed by cultivated land area, while the urbanization rate demonstrated the least impact.
Similar content being viewed by others
Data availability
The data presented in this study are available on request from the corresponding author.
References
Bai XY, Shen W, Wang P, Chen XH, He YH (2020) Response of non-point source pollution loads to land use change under different precipitation scenarios from a future perspective. Water Resour Manage 34:3987–4002. https://doi.org/10.1007/s11269-020-02626-0
Binzhou Municipal Bureau of Statistics (2022) Binzhou statistical yearbook 2022 Binzhou: binzhou municipal bureau of statistics. http://tj.binzhou.gov.cn/col/col163680/index.html
Cai M, Li H, Zhuang Y, Wang Q (2004) Application of modified export coefficient method in polluting load estimation of non-point source pollution. J Hydraul Eng 7:40–45. https://doi.org/10.13243/j.cnki.slxb.2004.07.007
Chang D, Lai ZQ, Li S, Li D, Zhou J (2021) Critical source areas’ identification for non-point source pollution related to nitrogen and phosphorus in an agricultural watershed based on SWAT model. Environ Sci Pollut Res 28:47162–47181. https://doi.org/10.1007/s11356-021-13973-9
Chen HT, Chen J, Liu YY, He J (2021) Study of nitrogen pollution simulation and management measures on SWAT model in typhoon period of Shanxi Reservoir Watershed, Zhejiang Province, China. Pol J Environ Stud 30(3):2499–2507. https://doi.org/10.15244/pjoes/130038
Chen JS, Du C, Nie TZ, Han X, Tang SY (2022a) Study of non-point pollution in the Ashe River Basin based on SWAT model with different land use. Water 14:2177. https://doi.org/10.3390/w14142177
Chen Y, Lu BB, Xu CY, Chen XW, Liu MB, Gao L, Deng HJ (2022b) Uncertainty evaluation of best management practice effectiveness based on the AnnAGNPS model. Water Resour Manage 36:1307–1321. https://doi.org/10.1007/s11269-022-03082-8
Cheng KY, Sheng BY, Zhao YY, Guo WR, Guo J (2022) An urban water pollution model for Wuhu City. Water 14:386. https://doi.org/10.3390/w14030386
Cui J, Zhao Y, Sun WC, Chen Y, Wu B, Xue BL, Chen HY, Li ZJ, Tian ZF (2021) Evaluating the influence of hydrological condition on the phosphorus loads in an agricultural river basin using the SWAT model. Hydrol Res 52(5):1143–1158. https://doi.org/10.2166/nh.2021.165
Dai XJ, Liu Y, Sun KZ, Wang ZJ, Ma SS, Guo MM (2022) Analysis on water quality status and change trend in Jinan Section of Tuhai River from 2001 to 2020. Sichuan Environ 41(5):160–165. https://doi.org/10.14034/j.cnki.schj.2022.05.025
Dezhou Municipal Bureau of Statistics (2022) Dezhou statistical yearbook 2022 Dezhou: dezhou municipal bureau of statistics. http://dztj.dezhou.gov.cn/n54289016/n54289061/n54289125/index.html
Dietz T, Rosa EA (1994) Rethinking the environmental impacts of population, affluence and technology. Hum Ecol Rev 1(2):277–300
Ding XJ, Yao Q, Ruan XH (2003) Waste load model for the Taihu Basin. Adv Water Sci 2:189–192. https://doi.org/10.14042/j.cnki.32.1309.2003.02.012
Ding XW, Shen ZY, Liu RM, Qi J (2008) Improved export coefficient model considering precipitation as well as terrain and its accuracy analysis. Resour Environ Yangtze Basin 2:306–309
Dongying Municipal Bureau of Statistics (2022) Dongying statistical yearbook 2022 Dongying: dongying municipal bureau of statistics. http://dystjj.dongying.gov.cn/col/col36583/index.html
Ehrlich P, Holdren J (1972) Impact of population growth. Popul Resour Environ 3:365–377. https://doi.org/10.1126/science.171.3977.1212
Endreny TA, Wood EF (2003) Watershed weighting of export coefficients to map critical phosphorous loading areas. J American Water Resour Assoc 39(1):165–181. https://doi.org/10.1111/j.1752-1688.2003.tb01569.x
GB 18918–2002 (2002) Discharge standard of pollutants for municipal wastewater treatment plant. Minist Ecology and Environ of the People's Repub China. https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/shjbh/swrwpfbz/200307/t20030701_66529.shtml
Hu Z, Ao TQ, Li MR, Hu FC, Liu LX (2019) Analyzing non-point pollution in areas with scarce data using modified output-coefficient model. J Irrig Drain Eng 38(2):108–114. https://doi.org/10.13522/j.cnki.ggps.20180386
Jinan Municipal Bureau of Statistics (2022) Jinan statistical yearbook 2022. Jinan: jinan municipal bureau of statistics. http://jntj.jinan.gov.cn/art/2023/2/10/art_18279_4748471.html
Johnes PJ (1996) Evaluation and management of the impact of land use change on the nitrogen and phosphorus load delivered to surface waters: the export coefficient modelling approach. J Hydrol 183(3–4):323–349. https://doi.org/10.1016/0022-1694(95)02951-6
Liaocheng Municipal Bureau of Statistics (2022) Liaocheng statistical yearbook 2022. Liaocheng: liaocheng municipal bureau of statistics. http://tjj.liaocheng.gov.cn/channel_t_178_12979/doc_659e4f2bdad696d05ec24c62.html
Li ZF, Yang GS, Li HP (2009) Estimated nutrient export loads based on improved export coefficient model in Xitiaoxi watershed. Huanjing Kexue 30(3):668–672. https://doi.org/10.13227/j.hjkx.2009.03.043
Li D, Zheng B, Liu Y, Chu Z, He Y, Huang M (2018) Use of multiple water surface flow constructed wetlands for non-point source water pollution control. Appl Microbiol Biotechnol 102:5355–5368. https://doi.org/10.1007/s00253-018-9011-8
Li YZ, Chen HY, Sun WC (2021a) Load estimation and source apportionment of nitrogen, phosphorus and COD in the basin of Lake Baiyang. China Environ Sci 41(1):366–376. https://doi.org/10.19674/j.cnki.issn1000-6923.2021.0042
Li S, Li JK, Xia J, Hao GR (2021b) Optimal control of nonpoint source pollution in the Bahe River Basin, Northwest China, based on the SWAT model. Environ Sci Pollut Res 28:55330–55343. https://doi.org/10.1007/s11356-021-14869-4
Li YJ, Wang JP, Zhang ZH, Hao GR, Li YF, Li JK (2023) Study on non-point source pollution characteristics under different spatial scales: a case study of Hanjiang River Basin, China. Environ Sci Pollut Res 30:56818–56835. https://doi.org/10.1007/s11356-023-26395-6
Liang LY, Qin LT, Peng GS, Zeng HH, Liu Z, Yang JW (2021) Non-point source pollution and long-term effects of best management measures simulated in the Qifeng River Basin in the karst area of Southwest China. Water Supply 21:262–275. https://doi.org/10.2166/ws.2020.310
Liu MH, Zhao Y, Qian LP, Li ZL, Wang YQ (2014) Improvement and application of export coefficient model in tea garden of red-soil. J Water Resour Water Eng 25(2):85–90
Liu HT, Chen JC, Zhang L, Sun KX, Cao WZ (2021a) Simulation effects of clean water corridor technology on the control of non-point source pollution in the Paihe River basin, Chaohu lake. Environ Sci Pollut Res 28:23534–23546. https://doi.org/10.1007/s11356-020-12274-x
Ruan SH, Zhuang YH, Hong S, Zhang L, Wang Z, Tang XQ, Wen WJ (2020) Cooperative identification for critical periods and critical source areas of nonpoint source pollution in a typical watershed in China. Environ Sci Pollut Res 27:10472–10483. https://doi.org/10.1007/s11356-020-07630-w
Ma YL, Wang XZ (2021) Evaluation of nitrogen and phosphorus load of Longxi River Basin based on the improved export coefficient model. Chin Agric Sci Bull 37(31):70–77
Ma XY, Zhu YL, Mei K, Zhang YJ, Zhang MH (2012) Application of SWMM in the simulation of non-point source pollution load in urban residential area. Res Environ Sci 25(1):95–102. https://doi.org/10.13198/j.res.2012.01.98.maxy.016
Matias NG, Johnes PJ (2012) Catchment phosphorous losses: an export coefficient modelling approach with scenario analysis for water management. Water Resour Manage 26(5):1041–1064. https://doi.org/10.1007/s11269-011-9946-3
Okada E, Pérez D, De Gerónimo E, Aparicio V, Massone H, Costa JL (2018) Non-point source pollution of glyphosate and AMPA in a rural basin from the southeast Pampas, Argentina. Environ Sci Pollut Res 25:15120–15132. https://doi.org/10.1007/s11356-018-1734-7
Pang SJ, Wang XY (2017) Application of modified diffuse total nitrogen export coefficient model at watershed scale. Trans Chin Soc Agric Eng 33(18):213–223. https://doi.org/10.11975/j.issn.1002-6819.2017.18.028
Ren W, Dai C, Guo HC (2015) Estimation of pollution load from non-point source in Baoxianghe watershed based, Yunnan Province on improved export coefficient model. China Environ Sci 35(8):2400–2408
Sha J, Lu R, Xu YX, Shang YT, Li X, Cao JR, Chen YL (2018) Estimation of watershed non-point source pollution response toward climate change: a coupled modeling approach. Environ Sci Technol (China) 41(6):181–187. https://doi.org/10.19672/j.cnki.1003-6504.2018.06.029
Shen Z, Hong Q, Yu H, Liu R (2008) Parameter uncertainty analysis of the non-point source pollution in the Daning River watershed of the Three Gorges Reservoir Region. China Sci Total Environ 405(1–3):195–205
Shen Z, Qiu J, Hong Q, Chen L (2014) Simulation of spatial and temporal distributions of non-point source pollution load in the Three Gorges Reservoir Region. Sci Total Environ 493:138–146. https://doi.org/10.1016/j.scitotenv.2014.05.109
Song YN, Wu YP, Sun CS, Zhao FB, Hu JY, Chen J, Qiu LJ, Lian YQ (2022) Geosci Lett 9:10. https://doi.org/10.1186/s40562-022-00220-3
Tao W, Wei J, Wang NL (2023) The characteristics of non-point source Nitrogen pollution in the lower reaches of Huangshui Basin in Western China based on SWAT model. Water Air Soil Pollut 234:491. https://doi.org/10.1007/s11270-023-06480-9
Xia TY, Chen ZB, Song J (2017) New normal control of agricultural non-point source pollution in the Dianchi Lake Basin. Meteorol Environ Res 8(2):10
Wang Q, Liu R, Men C, Guo L (2018) Application of genetic algorithm to land use optimization for non-point source pollution control based on CLUE-S and SWAT. J Hydrol 560:86–96. https://doi.org/10.1016/j.jhydrol.2018.03.022
Wang W, Chen L, Shen Z (2020) Dynamic export coefficient model for evaluating the effects of environmental changes on non-point source pollution. Sci Total Environ 747:141–164. https://doi.org/10.1016/j.scitotenv.2020.141164
Wang MH, Duan LJ, Yang B, Peng JY, Wang Y, Zheng BH (2023a) Improved export coefficient model for identification of watershed environmental risk areas. Environ Sci Pollut Res 30:34649–34668. https://doi.org/10.1007/s11356-022-24499-z
Wang Y, Jiao Y, Yang WZ, Yan YC, Wu H, Ling L, Shi YC (2023b) Estimation of nitrogen and phosphorus pollution loads from non-point sources in farmland of Hetao Irrigation District, Inner Mongolia. China Environ Sci 43(12):6551–6560. https://doi.org/10.19674/j.cnki.issn1000-6923.2023.0208
Wang YZ, Hua CL, Fan M, Yao J, Zhou LL, Cai C, Zhong NL (2023c) Spatial and temporal distribution characteristics of typical pollution loads based on SWAT model across Tuojiang River watershed located in Sichuan Province, Southwest of China. Environ Monit Assess 195:865. https://doi.org/10.1007/s10661-023-11481-6
Wu Q, Yu H (2021) Identifying critical source areas of nonpoint source pollution in a watershed with SWAT–ECM and AHP methods. Hydrol Res 52(6):1184–1199. https://doi.org/10.2166/nh.2021.010
Xia YC, Yuan YB, Zhan L, He C, Xia JX (2023) Refined estimation and empirical study of non-point source pollution load in small watershed: a case study of Yanghua River Basin, Chengdu. Journal of Yangtze River Scientific Research Institute:1–7. https://doi.org/10.11988/ckyyb.20221462
Xiao YT, Fan M, Yao J, Liang XY, Cai C, Wang YZ (2023) Spatial and temporal characteristics of pollution loads in Tuojiang River watershed located in Sichuan Province, Southwest of China. Environ Dev Sustain. https://doi.org/10.1007/s10668-023-03147-7
Xu C, Li Y, Shu JN, Li SB, Li MG (2017) Spatial distribution and evaluation of non-point pollution source in Jingmen Region of Hanjiang Watershed. Bull Soil Water Conserv 37(4):63–68. https://doi.org/10.13961/j.cnki.stbctb.2017.04.011
Xue LH, Yang LZ (2009) Research advance of export coefficient model for non-point source pollution. Chin J Ecol 28(4):755–761. https://doi.org/10.13292/j.1000-4890.2009.0101
Yang N (2004) The unique role of Ridge regression analysis in solving multicollinearity problems. Stat Decision 3:14–15
Yang J, Huang X (2021) The 30m annual land cover dataset and its dynamics in China from 1990 to 2019. Earth Syst Sci Data 13:3907–3925. https://doi.org/10.5194/essd-13-3907-2021
Yang W, Yang XX, Wu YP, Li SL, Liu M (2012) Based on export coefficient theory in simulating pollution load of non-point source of ShuangTaiZi River. J Shenyang Jianzhu Univ 28(2):338–343
Yang LZ, Feng YF, Shi WM et al (2013) Review of the advances and development trends in agricultural non-point source pollution control in China. Chin J Eco-Agric 21(1):96–101. https://doi.org/10.3724/SP.J.1011.2013.00096
Yang X, Li DD, Lv WW, Liu HF (2019) Research progress on rainfall erosivity model. Mod Agric Sci Technol 14:199–202+206
Yang XE (2019) Study on risk assessment of non-point source pollution in Fuxian Lake watershed. Master’s Dissertation, Yunnan University. (In Chinese)
Yasarer LMW, Lohani S, Bingner RL, Locke MA, Baffaut C, Thompson AL (2020) Assessment of the Soil Vulnerability Index and comparison with AnnAGNPS in two Lower Mississippi River Basin watersheds. J Soil Water Conserv 75(1):53. https://doi.org/10.2489/jswc.75.1.53
York R, Rosa EA, Dietz T (2003) STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts. Ecol Econ 46(3):351–365. https://doi.org/10.1016/S0921-8009(03)00188-5
Zhang HM, Jing YD, Sun XX (2018) Evolution of spatio-temporal pattern and prevention partition of TN and TP of non-point source pollution in Nansi Lake Basin. Bull Soil Water Conserv 38(2):19–26
Zhang M, Chen XL, Yang SH, Song Z, Wang YG, Yu Q (2021) Basin-scale pollution loads analyzed based on coupled empirical models and numerical models. Int J Environ Res Public Health 18:12481. https://doi.org/10.3390/ijerph182312481
Zhuang YT (2002) Non-point source TN load research in Weihe Basin above Lintong section. Master’s Dissertation, Xi’an University of Technology. (In Chinese)
Funding
This work was financially supported by the National Natural Science Foundation of China (52270005) and the National Natural Science Foundation of Shandong Province (ZR2020ME220).
Author information
Authors and Affiliations
Contributions
Conceptualization: Xi Wang; methodology: Xi Wang; formal analysis and investigation: Xi Wang; writing—original draft preparation: Xiaoyu Zhang; writing—review and editing: Xi Wang, Xiaomei Gao, Xiaoyu Zhang, Weiying Xu, and Yushuo Zhang; funding acquisition: Weiying Xu; supervision: Shifan Dong and Xiaomei Gao.
Corresponding author
Ethics declarations
Ethical approval
Not applicable.
Consent to participate
Agree to participate
Consent for publication
Agree to publish
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Marcus Schulz
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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.
About this article
Cite this article
Wang, X., Zhang, X., Gao, X. et al. Pollution load estimation and influencing factor analysis in the Tuhai River Basin in Shandong Province of China based on improved output coefficient method. Environ Sci Pollut Res 31, 29549–29562 (2024). https://doi.org/10.1007/s11356-024-33107-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-024-33107-1