Research article |
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Spatial and temporal characterization of water quality in Bosten Lake, China based on comprehensive water quality index |
GUO Mengjing1,*( ), BAI Zichen1, YUAN Bo2, WANG Wen1, ZHANG Tiegang3, XIANG Ke1, ZHANG Jiao1, ZHAO Huiyizhe1 |
1State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China 2College of Geology and Environment, Xi'an University of Science and Technology, Xi'an 710054, China 3Institute of Water Resources for Pastoral Area, Ministry of Water Resources, Hohhot 010020, China |
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Abstract Water quality is a pressing issue affecting the sustainable development of lakes. To elucidate the spatial and temporal characteristics of water quality in Bosten Lake, China, this study constructed a comprehensive water quality index (CWQI) based on key water quality indicators, utilizing water quality data collected from 17 sampling sites spaning from 2011 to 2019. Key water quality indicators were determined using factor analysis, and the spatial and temporal characteristics of key water quality indicators and the CWQI were examined using multivariate statistical analysis. The key water quality indicators included pH, chemical oxygen demand (COD), water transparency (SD), NO3-, total dissolved solids (TDS), Cl-, SO42-, and electrical conductivity (EC). Furthermore, the contribution rates of all water quality indicators to the water quality were quantitatively elucidated using the SHapley Additive exPlanations (SHAP) values, thereby validating the factor analysis outcomes. Among the eight key water quality indicators, the COD had the most significant influence on the water quality of Bosten Lake. The water quality condition of Bosten Lake has remained at Class III from 2011 to 2019 (CWQI ranging from 3.19 to 3.90). The water quality of Bosten Lake was characterized by distinct regional differences that arose from hydrodynamic processes within the lake and upstream water quality. The southwestern region exhibited the best water quality (mean CWQI of 3.47), whereas the northwestern region exhibited the worst (mean CWQI of 3.58). It is crucial to acknowledge that alongside the increase in industrial and agricultural effluent discharge monitoring, a series of ecological restoration projects for the lake basin have been initiated. Over time, the water quality of Bosten Lake showed gradual improvement (improvement rate of CWQI at 0.05/a). This study provides a critical scientific basis for enhancing the understanding and effective management of water quality in the Bosten Lake Basin through a comprehensive analysis of its spatial and temporal evolution and driving mechanisms.
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Received: 20 January 2025
Published: 30 September 2025
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Corresponding Authors:
*GUO Mengjing (E-mail: guomengjing263@163.com)
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Cite this article:
GUO Mengjing, BAI Zichen, YUAN Bo, WANG Wen, ZHANG Tiegang, XIANG Ke, ZHANG Jiao, ZHAO Huiyizhe. Spatial and temporal characterization of water quality in Bosten Lake, China based on comprehensive water quality index. Journal of Arid Land, 2025, 17(9): 1234-1251.
URL:
http://jal.xjegi.com/10.1007/s40333-025-0086-7 OR http://jal.xjegi.com/Y2025/V17/I9/1234
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|
|
[1] |
Carpenter S R, Caraco N F, Correll D L, et al. 1998. Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications, 8(3): 559-568.
|
|
|
[2] |
Chen S F. 2021. Water quality change and its influencing factors in Bosten Lake. MSc Thesis. Urumqi: Xinjiang Normal University. (in Chinese)
|
|
|
[3] |
Cheng C Y, Zhang F, Li X Y, et al. 2023. Variations in water storage of Bosten Lake, China, over the last two decades based on multi-source satellite data. Journal of Hydrology: Regional Studies, 49: 101496, doi: 10.1016/j.ejrh.2023.101496.
|
|
|
[4] |
Dudgeon D, Arthington A H, Gessner M O, et al. 2006. Freshwater biodiversity: importance, threats, status and conservation challenges. Biological Reviews, 81(2): 163-182.
doi: 10.1017/S1464793105006950
pmid: 16336747
|
|
|
[5] |
Gholizadeh M H, Melesse A M, Reddi L. 2016. Water quality assessment and apportionment of pollution sources using APCS-MLR and PMF receptor modeling techniques in three major rivers of South Florida. Science of the Total Environment, 566-567: 1552-1567.
|
|
|
[6] |
Guo M J, Wu W, Zhou X D, et al. 2015. Investigation of the dramatic changes in lake level of the Bosten Lake in northwestern China. Theoretical and Applied Climatology, 119: 341-351.
|
|
|
[7] |
Han J W, Kim T H, Lee S, et al. 2024. Machine learning and explainable AI for chlorophyll-a prediction in Namhan River Watershed, South Korea. Ecological Indicators, 166: 112361, doi: 10.1016/j.ecolind.2024.112361.
|
|
|
[8] |
Kothari V, Vij S, Sharma S K, et al. 2021. Correlation of various water quality parameters and water quality index of districts of Uttarakhand. Environmental and Sustainability Indicators, 9: 100093, doi: 10.1016/j.indic.2020.100093.
|
|
|
[9] |
Lan W H, Abiti, An H Y. 2003. Conservation and control of aquatic environment of Bosten Lake watershed, Xinjiang. Journal of Lake Sciences, 15(2): 147-152. (in Chinese)
|
|
|
[10] |
Leng J C. 2023. Analysis of trend of water environment evolution in Bosten lake. Technical Supervision in Water Resources, (12): 85-88. (in Chinese)
|
|
|
[11] |
Li D L, Xu X B, Li Z, et al. 2020. Detection methods of ammonia nitrogen in water: A review. TrAC Trends in Analytical Chemistry, 127: 115890, doi: 10.1016/j.trac.2020.115890.
|
|
|
[12] |
Li J, Xu Y B, Niu Y, et al. 2023. Analysis of ecological flow threshold of seasonal river—Huangshuigou in the southern slope of the Tianshan Mountains. Journal of Water Resources Research, 12(5): 519-529. (in Chinese)
|
|
|
[13] |
Liang L. 2021. The study on pH changes and algae growth response model in alkaline lakes under water diversion conditions. PhD Thesis. Chengdu: Sichuan University. (in Chinese)
|
|
|
[14] |
Liao Y S, Xiao Q T, Li Y M, et al. 2024. Salinity is an important factor in carbon emissions from an inland lake in arid region. Science of the Total Environment, 906: 167721, doi: 10.1016/j.scitotenv.2023.167721.
|
|
|
[15] |
Ling Y N, Liu Y, Peng J B, et al. 2020. Analysis of minimum ecological water level and water surplus in XiaoHu Lake District in Bosten Lake. Environmental Engineering, 38(10): 26-32, 60. (in Chinese)
|
|
|
[16] |
Liu L, You X Y. 2023. Water quality assessment and contribution rates of main pollution sources in Baiyangdian Lake, northern China. Environmental Impact Assessment Review, 98: 106965, doi: 10.1016/j.eiar.2022.106965.
|
|
|
[17] |
Lundberg S M, Lee S I. 2017. A unified approach to interpreting model predictions. Advances in Neural Information Processing Systems, 30: 4768-4777.
|
|
|
[18] |
Luo C M, Wang X H, Xu Y J, et al. 2025. Combining POA-VMD for multi-machine learning methods to predict ammonia nitrogen in the largest freshwater lake in China (Poyang Lake). Journal of Water Process Engineering, 72: 107511, doi: 10.1016/j.jwpe.2025.107511.
|
|
|
[19] |
Luo H Q, Nong X Z, Xia H J, et al. 2024. Integrating Water Quality Index (WQI) and multivariate statistics for regional surface water quality evaluation: Key parameter identification and human health risk assessment. Water, 16(23): 3412, doi: 10.3390/w16233412.
|
|
|
[20] |
Luo K, Hu X B, He Q, et al. 2017. Using multivariate techniques to assess the effects of urbanization on surface water quality: a case study in the Liangjiang New Area, China. Environmental Monitoring and Assessment, 189: 174, doi: 10.1007/s10661-017-5884-8.
pmid: 28324277
|
|
|
[21] |
Lyu N, Guo M J, Zhao X, et al. 2024. Remote sensing inversion of water quality and spatiotemporal evolution characteristics of the Bosten Inland Freshwater Lake. Arid Land Geography, 47(6): 953-966. (in Chinese)
doi: 10.12118/j.issn.1000-6060.2023.386
|
|
|
[22] |
Mahmud R, Inoue N, Sen R. 2007. Assessment of irrigation water quality by using principal component analysis in an arsenic affected area of Bangladesh. Journal of Soil and Nature, 1(2): 8-17.
|
|
|
[23] |
Mankin K R, Koelliker J K, Kalita P K. 1999. Watershed and lake water quality assessment: An integrated modeling approach. Jawra Journal of the American Water Resources Association, 35(5): 1069-1080.
|
|
|
[24] |
Marandi A, Polikarpus M, Jõeleht A. 2013. A new approach for describing the relationship between electrical conductivity and major anion concentration in natural waters. Applied Geochemistry, 38: 103-109.
|
|
|
[25] |
Ministry of Ecology and Environment of the People's Republic of China. 2002. Environmental quality standards for surface water (GB3838-2002). [2024-08-18]. https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/shjbh/shjzlbz/200206/W020061027509896672057.pdf.
|
|
|
[26] |
Misaghi F, Delgosha F, Razzaghmanesh M, et al. 2017. Introducing a water quality index for assessing water for irrigation purposes: A case study of the Ghezel Ozan River. Science of the Total Environment, 589: 107-116.
|
|
|
[27] |
Muangthong S, Shrestha S. 2015. Assessment of surface water quality using multivariate statistical techniques: case study of the Nampong River and Songkhram River, Thailand. Environmental Monitoring and Assessment, 187: 548, doi: 10.1007/s10661-015-4774-1.
|
|
|
[28] |
Muchandi S S, Raikar R V, Virupakshi A S, et al. 2017. Assessment of lake water quality using factor analysis: A case study of North Belgaum City, India. Asian Journal of Chemistry, 29(1): 213-220.
|
|
|
[29] |
Park J, Lee W H, Kim K T, et al. 2022. Interpretation of ensemble learning to predict water quality using explainable artificial intelligence. Science of the Total Environment, 832: 155070, doi: 10.1016/j.scitotenv.2022.155070.
|
|
|
[30] |
Pham T L. 2017. Comparison between Water Quality Index (WQI) and biological indices, based on planktonic diatom for water quality assessment in the Dong Nai River, Vietnam. Pollution, 3(2): 311-323.
|
|
|
[31] |
Rezaei A, Hassani H, Tziritis E, et al. 2020. Hydrochemical characterization and evaluation of groundwater quality in Dalgan basin, SE Iran. Groundwater for Sustainable Development, 10: 100353, doi: 10.1016/j.gsd.2020.100353.
|
|
|
[32] |
Rudaru D G, Lucaciu I E, Fulgheci A M. 2022. Correlation between BOD5 and COD-biodegradability indicator of wastewater. Romanian Journal of Ecology & Environmental Chemistry, 4(2): 80-86.
|
|
|
[33] |
Rusuli Y, Li L H, Ahmad S, et al. 2015. Dynamics model to simulate water and salt balance of Bosten Lake in Xinjiang, China. Environmental Earth Sciences, 74: 2499-2510.
|
|
|
[34] |
Saad A S, Massoud M A, Amer R A, et al. 2017. Assessment of the physicochemical characteristics and water quality analysis of Mariout Lake, Southern of Alexandria, Egypt. Journal of Environmental & Analytical Toxicology, 7(1): 1-19.
|
|
|
[35] |
Saimire T, Dilinuer A, Zhang M, et al. 2024. Characteristics and evaluation of spatial variation of water quality in Bosten Lake. Transactions of Oceanology and Limnology, 46(2): 143-150. (in Chinese)
doi: 10.13984/j.cnki.cn37-1141.2024.02.017
|
|
|
[36] |
Singh C K, Kumar A, Shashtri S, et al. 2017. Multivariate statistical analysis and geochemical modeling for geochemical assessment of groundwater of Delhi, India. Journal of Geochemical Exploration, 175: 59-71.
|
|
|
[37] |
Šolcová A, Alahuhta J, Gałka M, et al. 2024. Developing a European aquatic macrophyte transfer function for reconstructing past lake-water chemistry. Science of the Total Environment, 954: 176613, doi: 10.1016/j.scitotenv.2024.176613.
|
|
|
[38] |
State Environmental Protection Administration of China. 2002. Water and Wastewater Monitoring and Analysis Methods (4th ed.). Beijing: China Environmental Science Press, 210-213.
|
|
|
[39] |
Sudheer K P, Chaubey I, Garg V. 2006. Lake water quality assessment from Landsat thematic mapper data using neural network: an approach to optimal band combination selection. Journal of the American Water Resources Association, 42(6): 1683-1695.
|
|
|
[40] |
Sutadian A D, Muttil N, Yilmaz A G, et al. 2017. Using the Analytic Hierarchy Process to identify parameter weights for developing a water quality index. Ecological Indicators, 75: 220-233.
|
|
|
[41] |
Tan Y F, Zhang Q, Zhu S, et al. 2015. Study on lake water quality assessment based on simple modeling and factor analysis. Journal of Ecology and Rural Environment, 31(3): 432-439. (in Chinese)
|
|
|
[42] |
Tang X M, Xie G J, Deng J M, et al. 2022. Effects of climate change and anthropogenic activities on lake environmental dynamics: A case study in Lake Bosten Catchment, NW China. Journal of Environmental Management, 319: 115764, doi: 10.1016/j.jenvman.2022.115764.
|
|
|
[43] |
Tohti G, Sai B, Zhang J P, et al. 2021. Study on water environmental characteristics of River Kaidu Catchment in Xinjiang. Journal of Environment Engineering Technology, 11(6): 1102-1109. (in Chinese)
|
|
|
[44] |
Wang X Y, Tang X Y, Zhu M, et al. 2024. Predicting abrupt depletion of dissolved oxygen in Chaohu lake using CNN-BiLSTM with improved attention mechanism. Water Research, 261: 122027, doi: 10.1016/j.watres.2024.122027.
|
|
|
[45] |
Wang Y M, Zhou X D, Engel B. 2018. Water environment carrying capacity in Bosten Lake basin. Journal of Cleaner Production, 199: 574-583.
|
|
|
[46] |
Wu J L, Ma L, Zeng H A. 2013. Water quality and quantity characteristics and its evolution in lake Bosten, Xinjiang over the past 50 years. Scientia Geographica Sinica, 33(2): 231-237. (in Chinese)
|
|
|
[47] |
Xu B, Zhou T, Kuang C Y, et al. 2024. Water quality assessment in a large plateau lake in China from 2014 to 2021 with machine learning models: Implications for future water quality management. Science of the Total Environment, 946: 174212, doi: 10.1016/j.scitotenv.2024.174212.
|
|
|
[48] |
Zhang L, Fang W K, Li X C, et al. 2020. Water quality evaluation based on the water quality index in Lake Bosten: a large brackish inland lake in arid northwest China. Desalination and Water Treatment, 182: 68-76.
|
|
|
[49] |
Zhang X, Wang Q S, Liu Y F, et al. 2011. Application of multivariate statistical techniques in the assessment of water quality in the Southwest New Territories and Kowloon, Hong Kong. Environmental Monitoring and Assessment, 173(1-4): 17-27.
doi: 10.1007/s10661-010-1366-y
pmid: 20191317
|
|
|
[50] |
Zhou H H, Chen Y N, Perry L, et al. 2015. Implications of climate change for water management of an arid inland lake in Northwest China. Lake and Reservoir Management, 31(3): 202-213.
|
|
|
[51] |
Zhu M F, Yu X X, Chen K, et al. 2024. Spatiotemporal characteristics and driving factors of chemical oxygen demand emissions in China's wastewater: An analysis based on spatial autocorrelation and geodetector. Ecological Indicators, 166: 112308, doi: 10.1016/j.ecolind.2024.112308.
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