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Long-term change of total suspended matter in a deep-valley reservoir with HJ-1A/B: implications for reservoir management

Environmental Science and Pollution Research volume 26, pages 3041–3054 (2019)Cite this article

Abstract

The valley reservoirs service as a critical resource for society by providing drinking water, power generation, recreation, and maintaining biodiversity. Management and assessment of the water environment in valley reservoirs are urgent due to the recent eutrophication and water quality deterioration. As an essential component of the water body, total suspended matter (TSM) hinder the light availability to underwater and then affect the photosynthesis of aquatic ecosystem. We used long-term HJ-1A/B dataset to track TSM variation and elucidating the driving mechanism of valley reservoirs. Taking a typical deep-valley reservoir (Xin’anjing Reservoir) as our case study, we constructed a TSM model with satisfactory performance (R2, NRMSE, and MRE values are 0.85, 18.57%, and 20%) and further derived the spatial-temporal variation from 2009 to 2017. On an intra-annual scale, the TSM concentration exhibited a significant increase from 2.13 ± 1.10 mg L−1 in 2009 to 3.94 ± 0.82 mg L−1 in 2017. On a seasonal scale, the TSM concentration in the entire reservoir was higher in the summer (3.36 ± 1.54 mg L−1) and autumn (2.74 ± 0.82 mg L−1) than in the spring (1.84 ± 1.27 mg L−1) and winter (1.44 ± 2.12 mg L−1). On a monthly scale, the highest and lowest mean TSM value occurred in June (4.66 ± 0.45 mg L−1) and January (0.67 ± 1.50 mg L−1), and the monthly mean TSM value increased from January to June, then dropped from June to December. Combing HJ-1A/B-derived TSM, climatological data, basin dynamic, and morphology of the reservoir, we elucidated the driving mechanism of TSM variation. The annual increase of TSM from long-term HJ-1A/B data indicated that the water quality of Xin’anjiang Reservoir was decreasing. The annual increase of phytoplankton jointed with an increase of built-up land and decrease of forest land in the basin may partially be responsible for the increasing trend in TSM. This study suggested that combining the long-term remote sensing data and in situ data could provide insight into the driving mechanism of water quality dynamic and improve current management efforts for local environmental management.

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Acknowledgments

We thank the China Center for Resources Satellite Data and Application Center for providing the HJ-1A/B CCD data and the Resources and Environmental Sciences Center for providing the land cover change datasets.

Funding

This study was funded by the Key Research Program of Frontier Sciences, Chinese Academy of Sciences (Grant No. QYZDB-SSW-DQC016), Youth Innovation Promotion Association (CAS) (2017365), and the National Natural Science Foundation of China (Grant Nos. 41621002, 41771514, 41771472, and 41661134036).

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Affiliations

  1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China

    Yibo Zhang, Kun Shi, Yunlin Zhang, Guangwei Zhu, Yongqiang Zhou & Xiaolong Yao

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Yibo Zhang, Kun Shi, Yunlin Zhang, Guangwei Zhu, Yongqiang Zhou & Xiaolong Yao

  3. Department of Environmental Health, Fairbanks School of Public Health at Indiana University, IUPUI, Indianapolis, IN, 46202, USA

    Yibo Zhang & Max J. Moreno-Madriñán

  4. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China

    Kun Shi

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  1. Yibo Zhang
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  2. Kun Shi
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  3. Yunlin Zhang
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  4. Max J. Moreno-Madriñán
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  5. Guangwei Zhu
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  6. Yongqiang Zhou
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  7. Xiaolong Yao
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Correspondence to Kun Shi.

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Zhang, Y., Shi, K., Zhang, Y. et al. Long-term change of total suspended matter in a deep-valley reservoir with HJ-1A/B: implications for reservoir management. Environ Sci Pollut Res 26, 3041–3054 (2019). https://doi.org/10.1007/s11356-018-3778-0

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  • DOI: https://doi.org/10.1007/s11356-018-3778-0

Keywords

  • Suspended matter
  • Valley reservoirs
  • Dynamic
  • Rainfall
  • Land cover change