Skip to main content

Advertisement

Log in

Influences of anthropogenic activities and topography on water quality in the highly regulated Huai River basin, China

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

Abstract

Our study analyzed the spatio-temporal trends of four major water quality parameters (i.e., dissolved oxygen (DO), ammonium nitrogen (NH3-N), total phosphorus (TP) and permanganate index (CODMn)) at 17 monitoring stations in one of the most polluted large river basins, Huai River Basin, in China during 2005 to 2014. More concerns were emphasized on the attributions, e.g., anthropogenic actives (land cover, pollution load, water temperature, and regulated flow) and natural factors (topography) to the changes in the water quality. The seasonal Mann–Kendall test indicated that water quality conditions were significantly improved during the study period. The results given by the Moran’s I methods demonstrated that NH3-N and CODMn existed a weak and moderate positive spatial autocorrelation. Two cluster centers of significant high concentrations can be detected for DO and TP at the Mengcheng and Huaidian station, respectively, while four cluster centers of significant low concentrations for DO at Wangjiaba and Huaidian station in the 2010s. Multiple linear regression analysis suggested that water temperature, regulated flow, and load of water quality could significantly influence the water quality variations. Additionally, urban land cover was the primary predictor for NH3-N and CODMn at large scale. The predictive ability of regression models for NH3-N and CODMn declined as the scale decreases or the period ranges from the 2000s to the 2010s. Topography variables of elevation and slope, which can be treated as the important explanatory variables, exhibited positive and negative correlations to NH3-N and CODMn, respectively. This research can help us identify the water quality variations from the scale-process interactions and provide a scientific basis for comprehensive water quality management and decision making in the Huai River Basin and also other river basins over the world.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Ahearna DS, Sheibley RW, Dahlgrena RA (2005) Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California. J Hydrol 313(3–4):234–247

    Article  Google Scholar 

  • Amini H, Haghighat GA, Yunesian M, et al. (2016) Spatial and temporal variability of fluoride concentrations in groundwater resources of Larestan and Gerash regions in Iran from 2003 to 2010. Environ Geochem Health 38(1):25–37

    Article  CAS  Google Scholar 

  • Amuchástegui G, di Franco L, Feijoó C (2016) Catchment morphometric characteristics, land use and water chemistry in Pampean streams: a regional approach. Hydrobiologia 767(1):65–79

    Article  Google Scholar 

  • Anselin L (1995) Local indicators of spatial association—LISA. Geogr Anal 27(2):93–115

    Article  Google Scholar 

  • Anselin L (1996) The Moran scatterplot as an ESDA tool to assess local instability in spatial association. In: Fisher M, Scholten H, Unwin D (eds) Spatial analytical perspectives on GIS in environmental and socio-economic sciences. Taylor and Francis, London, pp. 111–125

    Google Scholar 

  • Antonopoulos VZ, Papamichail DM, Mitsiou KA (2001) Statistical and trend analysis of water quality and quantity data for the Strymon River in Greece. Hydrol Earth Syst Sci 5(4):679–692

    Article  Google Scholar 

  • Asterious D, Hall SG (2011) Applied econometrics, 2nd edn. Palgrave Macmillan p 95–108

  • Boeder M, Chang H (2008) Multi-scale analysis of oxygen demand trends in an urbanizing Oregon watershed, USA. J Environ Manag 87(4):567–581

    Article  CAS  Google Scholar 

  • Bouza-Deaño R, Ternero-Rodríguez M, Fernández-Espinosa AJ (2008) Trend study and assessment of surface water quality in the Ebro River (Spain). J Hydrol 361(3–4):227–239

    Article  Google Scholar 

  • Brody SD, Highfield W, Peck BM (2005) Exploring the mosaic of perceptions for water quality across watersheds in San Antonio, Texas. Landsc Urban Plan 73(2):200–214

    Article  Google Scholar 

  • Buck O, Niyogi DK, Townsend CR (2004) Scale-dependence of land use effects on water quality of streams in agricultural catchments. Environ Pollut 130(2):287–299

    Article  CAS  Google Scholar 

  • Buendia C, Bussi G, Tuset J, Vericat D, Sabater S, Palau A, Batalla RJ (2016) Effects of afforestation on runoff and sediment load in an upland Mediterranean catchment. Sci Total Environ 540:144–157

    Article  CAS  Google Scholar 

  • Chang H (2008) Spatial analysis of water quality trends in the Han River basin, South Korea. Water Resour 42(13):3285–3304

    CAS  Google Scholar 

  • Chang H, Carlson T (2005) Water quality during winter storm events in Spring Creek, Pennsylvania, USA. Hydrobiologia 544(1):321–332

    Article  CAS  Google Scholar 

  • Chen Y, Takeuchi K, Xu C, et al. (2006) Regional climate change and its effects on river runoff in the Tarim Basin, China. Hydrol Process 20(10):2207–2216

    Article  Google Scholar 

  • China Environment Bulletin (2014) Ministry of Environmental Protection of the People’s Republic of China [in Chinese]

  • Dale MR, Fortin MJ (2014) Spatial analysis: a guide for ecologists. Cambridge University Press

  • Djodjic F, Bergström L (2005) Phosphorus losses from arable fields in Sweden—effects of field-specific factors and longterm trends. Environ Monit Assess 102(1–3):103–117

    Article  CAS  Google Scholar 

  • Dormann CF, McPherson JM, Araújo MB, et al. (2007) Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30(5):609–628

    Article  Google Scholar 

  • Dou M, Zheng BQ, Zuo QT, Qi M (2013) Identification of quantitative relation of ammonia-nitrogen concentration and main influence factors in the river reaches controlled by sluice. J Hydraul Eng 44(8):934–941 [in Chinese]

    Google Scholar 

  • Dou M, Zhang Y, Zuo QT, Mi QB (2015) Identification of key factors affecting the water pollutant concentration in the sluice-controlled river reaches of the Shaying River in China via statistical analysis methods. Environ Sci: Proc Impact 17(8):1492–1502

    CAS  Google Scholar 

  • ESRI (2013) ArcGIS desktop: release 10.2.1. Environmental Systems Research Institute, Redlands, CA

    Google Scholar 

  • GB 11892–1989 (1989) The state environmental protection standards of the People’s Republic of China: water quality determination of permanganate index [in Chinese]

  • GB 11893–1989 (1989) The state environmental protection standards of the People’s Republic of China: water quality determination of total phosphorus [in Chinese]

  • Haidary A, Amiri BJ, Adamowski J, Fohrer N, Nakane K (2013) Assessing the impacts of four land use types on the water quality of wetlands in Japan. Water Resour Manag 27(7):2217–2229

    Article  Google Scholar 

  • Helsel DR, Hirsch RM (1992) Statistical methods in water resources. Elsevier, Amsterdam

    Google Scholar 

  • Hirsch RM, Slack JR (1984) A nonparametric trend test for seasonal data with serial dependence. Water Resour Res 20(6):727–732

    Article  Google Scholar 

  • Hirsch RM, Slack JR, Smith RA (1982) Techniques of trend analysis for monthly water quality data. Water Resour Res 18(1):107–121

    Article  Google Scholar 

  • Hirsch RM, Alexander RB, Smith RA (1991) Selection of methods for the detection and estimation of trends in water quality. Water Resour Res 27(5):803–813

    Article  Google Scholar 

  • HJ 506–2009 (2009) The state environmental protection standards of the People’s Republic of China: water quality-determination of dissolved oxygen—electrochemical probe method [in Chinese]

  • HJ 535–2009 (2009) The state environmental protection standards of the People’s Republic of China: water quality determination of ammonia nitrogen—Nessler’s reagent spectrophotometry [in Chinese]

  • Huang D, He XL, Yang G, Wang CX, Du YJ, Yang WX, Xu SD (2012) Temporal and spatial analysis of surface water quality in Manas River basin. J Shihezi Univ (Natural Science) 30(6):749–754 [in Chinese]

    CAS  Google Scholar 

  • Joarder MAM, Raihan F, Alam JB, Hasanuzzaman S (2008) Regression analysis of ground water quality data of Sunamganj District, Bangladesh. Int J Environ Res 2(3):291–296

    CAS  Google Scholar 

  • Jones KB, Neale AC, Nash MS (2001) Predicting nutrient and sediment loadings to streams from landscape metrics: a multiple watershed study from the United States mid-Atlantic region. Landsc Ecol 16(4):301–312

    Article  Google Scholar 

  • Lettenmaier DP, Hooper ER, Wagoner C, Faris KB (1991) Trends in stream quality in the continental United States, 1978–1987. Water Resour Res 27(3):327–339

    Article  CAS  Google Scholar 

  • Li S, Gu S, Tan X, Zhang Q (2009) Water quality in the upper Han River basin, China: the impacts of land use/land cover in riparian buffer zone. J Hazard Mater 165(1):317–324

    Article  CAS  Google Scholar 

  • Li S, Xia X, Tan X, Zhang Q (2013) Effects of catchment and riparian landscape setting on water chemistry and seasonal evolution of water quality in the upper Han River basin, China. PLoS One 8(1):e53163

    Article  CAS  Google Scholar 

  • Liu C, Xia J (2004) Water problems and hydrological research in the Yellow River and the Huai and Hai River basins of China. Hydrol Process 18(12):2197–2210

    Article  Google Scholar 

  • Ma F, Ye A, Gong W, Mao Y, Miao C, Di Z (2014) An estimate of human and natural contributions to flood changes of the Huai River. Glob Planet Chang 119:39–50

    Article  Google Scholar 

  • Moran PAP (1950) Notes on continuous stochastic phenomena. Biometrika 37(1–2):17–23

    Article  CAS  Google Scholar 

  • Mueller DK, Ruddy BC, Battaglin WA (1997) Logistic model of nitrate in streams of the upper-midwestern United States. J Environ Qual 26(5):1223–1230

    Article  CAS  Google Scholar 

  • Nash MS, Heggem DT, Ebert D, Wade TG, Hall RK (2009) Multi-scale landscape factors influencing stream water quality in the state of Oregon. Environ Monit Assess 156(1–4):343–360

    Article  CAS  Google Scholar 

  • O’Sullivan D, Unwin DJ (2003) Geographic information analysis. Wiley, Hoboken, NJ

    Google Scholar 

  • Plummer JD, Long SC (2007) Monitoring source water for microbial contamination: evaluation of water quality measures. Water Res 41(16):3716–3728

    Article  CAS  Google Scholar 

  • Pratt B, Chang H (2012) Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales. J Hazard Mater 209(4):48–58

    Article  Google Scholar 

  • Richards C, Johnson LB, Host GE (1996) Landscape-scale influences on stream habitats and biota. Can J Fish Aquat Sci 53(53):295–311

    Article  Google Scholar 

  • Robson AJ, Neal C (1996) Water quality trends at an upland site in Wales, UK, 1983–1993. Hydrol Process 10(2):183–203

    Article  Google Scholar 

  • Simeonov V, Stratis JA, Samara C, et al. (2003) Assessment of the surface water quality in northern Greece. Water Res 37(17):4119–4124

    Article  CAS  Google Scholar 

  • Sliva L, Williams DD (2001) Buffer zone versus whole catchment approaches to studying land use impact on river water quality. Water Res 35(14):3462–3472

    Article  CAS  Google Scholar 

  • Sokal RR, Oden NL (1978a) Spatial autocorrelation in biology: I. Methodology. Biol J Linn Soc 10(2):199–228

    Article  Google Scholar 

  • Sokal RR, Oden NL (1978b) Spatial autocorrelation in biology: II. Some biological implications and four applications of evolutionary and ecological interest. Biol J Linn Soc 10(2):229–249

    Article  Google Scholar 

  • Sonoda K, Yeakley JA, Walker CE (2001) Near-stream land use effects on stream water nutrient distribution in an urbanizing watershed. J Am Water Resour Assoc 37(6):1517–1532

    Article  CAS  Google Scholar 

  • Steele TD, Jennings ME (1972) Regional analysis of streamflow chemical quality in Texas. Water Resour Res 8(2):460–477

    Article  Google Scholar 

  • Tobler WR (1970) A computer movie simulating urban growth in the Detroit region. Econ Geogr 46(2):234–240

    Article  Google Scholar 

  • Velleman PF, Roy EW (1981) Efficient computing of regression diagnostics. Am Stat 35(4):234–242

    Google Scholar 

  • Wan R, Cai S, Li H, Yang G, Li Z, Nie X (2014) Inferring land use and land cover impact on stream water quality using a Bayesian hierarchical modeling approach in the Xitiaoxi River watershed, China. J Environ Manag 133:1–11

    Article  CAS  Google Scholar 

  • Wherry RJ (1931) A new formula for predicting the shrinking of the coefficient of multiple correlation. Ann Math Stat 2(4):440–457

    Article  Google Scholar 

  • Yan B, Fang NF, Zhang PC, Shi ZH (2013) Impacts of land use change on watershed streamflow and sediment yield: an assessment using hydrologic modelling and partial least squares regression. J Hydrol 484(6):26–37

    Article  Google Scholar 

  • Yu D, Shi P, Liu Y, Xun B (2013) Detecting land use-water quality relationships from the viewpoint of ecological restoration in an urban area. Ecol Eng 53(3):205–216

    Article  Google Scholar 

  • Zhai X, Xia J, Zhang Y (2014) Water quality variation in the highly disturbed Huai River basin, China from 1994 to 2005 by multi-statistical analyses. Sci Total Environ 496:594–606

    Article  CAS  Google Scholar 

  • Zhang Y, Xia J, Shao Q, Zhai X (2013) Water quantity and quality simulation by improved SWAT in highly regulated Huai River basin of China. Stoch Env Res Risk A 27(1):11–27

    Article  CAS  Google Scholar 

  • Zhao CS, Sun CL, Xia J, Hao XP, Li FG, Rebensburg K, Liu CM (2010) An impact assessment method of dam/sluice on instream ecosystem and its application to the Bengbu sluice of China. Water Resour Manag 24(15):4551–4565

    Article  Google Scholar 

  • Zhao J, Lin L, Yang K, Liu Q, Qian G (2015) Influences of land use on water quality in a reticular river network area: a case study in shanghai, China. Landsc Urban Plan 137:20–29

    Article  Google Scholar 

  • Zipper CE, Holtzman GI, Darken PF, Gildea JJ, Stewart RE (2002) Virginia USA water quality, 1978 to 1995: regional interpretation. J Am Water Resour Assoc 38(3):789–802

    Article  CAS  Google Scholar 

  • Zuo Q, Chen H, Dou M, Zhang Y, Li D (2015) Experimental analysis of the impact of sluice regulation on water quality in the highly polluted Huai River basin, China. Environ Monit Assess 187(7):1–15

    Google Scholar 

Download references

Acknowledgments

This research was supported by the National Grand Science and Technology Special Project of Water Pollution Control and Improvement (no. 2014ZX07204-006). Thanks also to the editors and one anonymous reviewer for their constructive comments on the earlier draft, which led to a great improvement of the final paper.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Wei Shi or Jun Xia.

Additional information

Responsible editor: Kenneth Mei Yee Leung

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shi, W., Xia, J. & Zhang, X. Influences of anthropogenic activities and topography on water quality in the highly regulated Huai River basin, China. Environ Sci Pollut Res 23, 21460–21474 (2016). https://doi.org/10.1007/s11356-016-7368-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-016-7368-8

Keywords

Navigation