Identifying key environmental factors influencing spatial variation of water quality in upper Shitoukoumen Reservoir Basin in Jilin Province, China

Based on the observed data in monitored drainage areas and GIS spatial analysis tools, watershed basic database of Shitoukoumen Reservoir Basin was built. The multivariate analysis and redundancy analysis (RDA) were used to analyze the spatial and temporal variations of water quality, identify the key environmental factors and their patterns influencing the spatial variation of water quality, and determine the main types and forms of the non-point source (NPS) pollutant export controlled by the key environmental factors. The results show that different patterns of environmental factors lead to great changes in water quality at spatial and seasonal scales. All selected environmental factors explain 64.5% and 68.2% of the spatial variation of water quality over dry season and rainy season, respectively, which shows clear seasonal difference. Over dry season, residential land is the most important environmental factor, which possesses 35.4% of the spatial variation, and drainage area is the second key environmental factor, which possesses 17.0% of spatial variation in the total variance. Over rainy season, slope length and drainage area are the key environmental factors, which possess 29.3% of the spatial variation together. Residential land influences nitrogen export by changing NH4+-N and particulate organic nitrogen (PON) discharge over dry season, and drainage area controls phosphorus export by regulating dissolved phosphorus (DP) drainage over dry season and phosphorus associated particulate (PAP) loss over rainy season, respectively. Although slope length is an important environmental factor, it does not influence NPS pollutant export. It is interesting that soil organic matter, as a minor environmental factor, highly determines phosphorus and nitrogen export by enhancing the DP, PAP and PON loss.

[1]  Fayçal Bouraoui,et al.  Impact of Climate Change on the Water Cycle and Nutrient Losses in a Finnish Catchment , 2004 .

[2]  Yoshifumi Yasuoka,et al.  Mapping the potential annual total nitrogen load in the river basins of Japan with remotely sensed imagery , 2008 .

[3]  A. Munodawafa,et al.  Assessing nutrient losses with soil erosion under different tillage systems and their implications on water quality , 2007 .

[4]  Sunil Narumalani,et al.  Application of remote sensing and geographic information systems to the delineation and analysis of riparian buffer zones , 1997 .

[5]  C. Braak CANOCO — an extension of DECORANA to analyze species-environment relationships , 1989, Hydrobiologia.

[6]  Vassilios A. Tsihrintzis,et al.  Modeling of non-point source pollution in a Mediterranean drainage basin , 2006 .

[7]  Entire catchment and buffer zone approaches to modeling linkage between river water quality and land cover—A case study of Yamaguchi Prefecture, Japan , 2008 .

[8]  Siyue Li,et al.  Geochemistry of the upper Han River basin, China , 2008 .

[9]  J. A. Winter,et al.  USEPA (United States Environmental Protection Agency) method study 7. Analyses for trace elements in water by atomic absorption spectroscopy (direct aspiration) and colorimetry. Final report , 1986 .

[10]  M. Babel,et al.  Catchment scale modelling of point source and non-point source pollution loads using pollutant export coefficients determined from long-term in-stream monitoring data , 2008 .

[11]  H. Kloos,et al.  Comparative study of diatoms and macroinvertebrates as indicators of severe water pollution: Case study of the Kebena and Akaki rivers in Addis Ababa, Ethiopia , 2009 .

[12]  M. Kennish Environmental threats and environmental future of estuaries , 2002, Environmental Conservation.

[13]  X. Cheng,et al.  Spatio-temporal dynamics of nutrients in the upper Han River basin, China. , 2009, Journal of hazardous materials.

[14]  J. Velasco,et al.  Nutrient And Particulate Inputs Into The Mar Menor Lagoon (Se Spain) From An Intensive Agricultural Watershed , 2006 .

[15]  Wei Ouyang,et al.  Nonpoint Source Pollution Responses Simulation for Conversion Cropland to Forest in Mountains by SWAT in China , 2008, Environmental management.

[16]  B. Bhaduri,et al.  Assessing Watershed-Scale, Long-Term Hydrologic Impacts of Land-Use Change Using a GIS-NPS Model , 2000, Environmental management.

[17]  V. K. Prasad,et al.  Exploring the Relationship Between Hydrologic Parameters and Nutrient Loads Using Digital Elevation Model and GIS – A Case Study from Sugarcreek Headwaters, Ohio, U.S.A. , 2005, Environmental monitoring and assessment.

[18]  E. Gaucher,et al.  Estimate of clay minerals amounts from XRD pattern modeling: The Arquant model , 2007 .

[19]  Ter Braak,et al.  Canoco reference manual and CanoDraw for Windows user''s guide: software for canonical community ord , 2002 .

[20]  Santanu Kumar Behera,et al.  Evaluation of management alternatives for an agricultural watershed in a sub-humid subtropical region using a physical process based model , 2006 .

[21]  C. Smith,et al.  Evaluation of a non-point source pollution model, AnnAGNPS, in a tropical watershed , 2007, Environ. Model. Softw..

[22]  L. Sliva,et al.  Buffer zone versus whole catchment approaches to studying land use impact on river water quality. , 2001, Water research.

[23]  C. Braak,et al.  CANOCO—an extension of DECORANA to analyze species-environment relationships , 1988, Vegetatio.

[24]  Stuart Gage,et al.  Landscape approaches to the analysis of aquatic ecosystems , 1997 .

[25]  D. Dudley Williams,et al.  Data transformation and standardization in the multivariate analysis of river water quality , 1999 .

[26]  Ni-Bin Chang,et al.  Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images. , 2006, Journal of Environmental Management.

[27]  Roberto C. Izaurralde,et al.  Simulation study of soil organic matter dynamics as affected by land use and agricultural practices in semiarid Córdoba, Argentina , 2009 .

[28]  V. N. Jonge,et al.  Causes, historical development, effects and future challenges of a common environmental problem: eutrophication , 2002, Hydrobiologia.

[29]  M. Hill,et al.  Data analysis in community and landscape ecology , 1987 .

[30]  Yuesuo Yang,et al.  An approach to catchment‐scale groundwater nitrate risk assessment from diffuse agricultural sources: a case study in the Upper Bann, Northern Ireland , 2008 .

[31]  Ilona Bärlund,et al.  Assessing SWAT model performance in the evaluation of management actions for the implementation of the Water Framework Directive in a Finnish catchment , 2007, Environ. Model. Softw..