Influence of Photovoltaic Power Stations on Water Quality and Phytoplankton Community Structure in Subsidence Ponds in Winter
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X826,TM615

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    Abstract:

    [Objective] The effects of surface photovoltaic (PV) power station on the structural characteristics of water quality and phytoplankton communities in subsidence ponds in the winter were investigated in order to provide data references for the application of surface PV in coal mining subsidence waters. [Methods] Water bodies and phytoplankton communities of column PV ponds, floating PV ponds, and non-PV ponds (comparison) were sampled and investigated, and the influencing factors were analysed using Pearson correlation and stepwise regression analyses. [Results] A total of 41 species of phytoplankton were identified in the column PV sinkhole pond, 40 species of phytoplankton in the floating PV sinkhole pond, and 47 species of phytoplankton in the pond without PV sinkholes; the diatom-green-algal type dominated the species. Compared with the control sinkhole ponds, the surface PV power plant effectively reduced the light intensity and lowered the levels of electrical conductivity, total dissolved solids, oxidation reduction potential, and ammonia nitrogen in the sinkhole ponds. Similarly, the floating PV power plants reduced the chemical oxygen demand, total nitrogen (TN), and total phosphorus contents in the water body. Additionally, the column PV power plant had lower levels of the above-mentioned indicators than the floating PV power plant. The number of phytoplankton species, density, and biomass in the floating PV and column PV sinking ponds were slightly lower than those in the control sinking ponds. The values for the Shannon-Wiener diversity index, Pielou homogeneity index, and Margalef richness index were ordered as follows: no PV pond > floating PV pond > column PV pond. [Conclusion] Surface PVs can help reduce the salinity of winter water bodies and maintain both the temperature of the water bodies and the content of dissolved oxygen. The above indices used for the column PV power station to improve its effect were better than those for the floating PV power station, and to a certain extent, the floating PV power station could improve eutrophic water bodies. Surface PVs can affect the structure of phytoplankton communities, and the effect of floating PVs on the phytoplankton of sunken water bodies is smaller than that of column PVs. Pearson and stepwise regression analyses revealed that the phytoplankton community diversity of column PV sunken ponds is mainly affected by water temperature (WT) and TN, while that of floating PV subsidence ponds are mainly affected by the WT. In summary, floating PV power station are more favourable for improving the water quality of subsidence ponds and have the least impact on the phytoplankton community structure.

    Reference
    [1] 胡振琪,肖武.关于煤炭工业绿色发展战略的若干思考: 基于生态修复视角[J].煤炭科学技术,2020,48(4):35-42. Hu Zhenqi, Xiao Wu. Some thoughts on green development strategy of coal industry: From aspects of ecological restoration [J]. Coal Science and Technology, 2020,48(4):35-42.
    [2] Sahu A, Yadav N, Sudhakar K. Floating photovoltaic power plant: A review [J]. Renewable and Sustainable Energy Reviews, 2016,66:815-824.
    [3] Trapani K, Millar D L, Smith H C M. Novel offshore application of photovoltaics in comparison to conventional marine renewable energy technologies [J]. Renewable Energy, 2013,50:879-888.
    [4] Sheeba K, Rao R, Jaisankar S. A study on the underwater performance of a solar photovoltaic panel [J]. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2015,37:1505-1512.
    [5] Tina G M, Bontempo Scavo F, Merlo L, et al. Analysis of water environment on the performances of floating photovoltaic plants [J]. Renewable Energy, 2021,175:281-295.
    [6] Choi Y K. A study on power generation analysis of floating PV system considering environmental impact [J]. International Journal of Software Engineering and Its Applications, 2014,8(1):75-84.
    [7] 牛超,吴立峰,庞杨洋,等.光伏板对中华绒螯蟹养殖环境和生长的影响研究[J].复旦学报(自然科学版),2021,60(2):253-261. Niu Chao, Wu Lifeng, Pang Yangyang, et al. Research on the effect of photovoltaic panels on the water environment and growth performance of Eriocheir sinensis [J]. Journal of Fudan University (Natural Science), 2021,60(2):253-261.
    [8] Li Peidu, Gao Xiaoqing, Jiang Junxia, et al. Characteristic analysis of water quality variation and fish impact study of fish-lighting complementary photovoltaic power station [J]. Energies, 2020,13(18):4822.
    [9] 张万顺,邓浪浪,彭虹,等.柳堰集水库渔光互补工程对水环境影响的数值模拟研究[J].水资源保护,2023,39(5):1-8. Zhang Wanshun, Deng Langlang, Peng Hong, et al. Study on numerical simulation of impact of fishery-light complementary project on water environment in Liuyanji Reservoir [J]. Water Resources Protection, 2023,39(5):1-8.
    [10] 宋鑫,贝耀平,袁丙青,等.水上光伏电站对淮南采煤沉陷积水区水生态环境的影响[J].水资源保护,2022,38(5):204-211. Song Xin, Bei Yaoping, Yuan Bingqing, et al. Influence of floating photovoltaic power plants on water ecological environment in coal mining subsidence water area of Huainan City [J]. Water Resources Protection, 2022,38(5):204-211.
    [11] 王燕妮,于华明,于江华.水面光伏局地生态效应观测事实分析[J].太阳能学报,2022,43(9):38-44. Wang Yanni, Yu Huaming, Yu Jianghua. Observation of surface photovoltaic on local ecology [J]. Acta Energiae Solaris Sinica, 2022,43(9):38-44.
    [12] 郑志伟,史方,彭建华,等.水面光伏电站对水域生态环境影响分析与对策[J].三峡生态环境监测,2018,3(4):47-50. Zheng Zhiwei, Shi Fang, Peng Jianhua, et al. Influences and countermeasures of water surface photovoltaic power station on water ecological environment [J]. Ecology and Environmental Monitoring of Three Gorges, 2018,3(4):47-50.
    [13] 国家环境保护总局《水和废水监测分析方法》编委会.水和废水监测分析方法[M].第4版.北京:中国环境科学出版社,2002:210-279. Editorial Board of Water and Wastewater Monitoring and Analysis Methods by the State Environmental Protection Administration Monitoring. Analysis Methods for Water and Wastewater [M]. 4th. edi. Beijing: China Environmental Science Press, 2002:210-279.
    [14] 翁建中,徐恒省.中国常见淡水浮游藻类图谱[M].上海:上海科学技术出版社,2010. Weng Jianzhong, Xu Hengsheng. Atlas of Common Freshwater Planktonic Algae in China [M]. Shanghai: Shanghai Science and Technology Press, 2010.
    [15] 胡鸿钧,魏印心.中国淡水藻类:系统、分类及生态[M].北京科学出版社,2006. Hu Hongjun, Wei Yinxin. Chinese Freshwater Algae: Systems, Classification, and Ecology [M]. Beijing Science Press, 2006.
    [16] 肖玉娜,程靖华,莫晓聪,等.丹江口水库浮游植物群落时空变化及其与环境因子的关系[J].湖泊科学,2023,35(3):821-832. Xiao Yuna, Cheng Jinghua, Mo Xiaocong, et al. Spatio-temporal variation of phytoplankton community and its relationship with environmental factors in Danjiangkou Reservoir [J]. Journal of Lake Sciences, 2023,35(3):821-832.
    [17] 成珂,马晓瑶,孙琦琦.光伏温室大棚组件布置CFD模拟研究[J].太阳能学报,2021,42(8):159-165. Cheng Ke, Ma Xiaoyao, Sun Qiqi. Cfd simulation study on module layout of photovoltaic greenhouse [J]. Acta Energiae Solaris Sinica, 2021,42(8):159-165.
    [18] 盛漂,阳敏,陈文凯,等.禁捕初期太湖浮游植物的群落结构特征及其环境影响因子[J/OL].生态学杂志,2024:1-16.(2024-01-23).https://kns.cnki.net/kcms/detail/21.1148.q.20240119.1404.004.html. Sheng Piao, Yang Min, Chen Wenkai, et al. Characteristics of phytoplankton community structure and its environmental influencing factors in Taihu Lake during the early stage of fishing ban [J/OL]. Chinese Journal of Ecology, 2024:1-16.(2024-01-23).https://kns.cnki.net/kcms/detail/21.1148.q.20240119.1404.004.html.
    [19] 张维翔.淮南高潜水位采煤沉陷区水质特征及变化趋势[D]. 安徽合肥:安徽大学,2019. Water quality characteristics and changing trends of coal mining subsidence area with high underground water in Huainan [D]. Hefei, Anhui: Anhui University, 2019.
    [20] 刘洋,安瑞志,杨号,等.西藏拉鲁湿地浮游植物群落时空分布特征及其驱动因子[J].湖泊科学,2024,36(2):403-417. Liu Yang, An Ruizhi, Yang Hao, et al. Spatial-temporal distribution characteristics and its driving factors of phytoplankton community in Lhalu Wetland, Tibet, China [J]. Journal of Lake Sciences, 2024,36(2):403-417.
    [21] 陈从磊,谢毫,陈业禹,等.淮南迪沟采煤沉陷区水体水质特征与评价[J].水资源与水工程学报,2021,32(2):58-65. Chen Conglei, Xie Hao, Chen Yeyu, et al. Evaluation and characteristics of surface water quality of Digou coal mining subsidence area in Huainan [J]. Journal of Water Resources and Water Engineering, 2021,32(2):58-65.
    [22] 杨浩,李一平,蒲亚帅,等.张家港市河道水质时空分布特征研究分析[J].环境科学学报,2021,41(10):4064-4073. Yang Hao, Li Yiping, Pu Yashuai, et al. Spatio-temporal distribution characteristics and the river water quality of Zhangjiagang City [J]. Acta Scientiae Circumstantiae, 2021,41(10):4064-4073.
    [23] Zhao Gengnan, Pan Baozhu, Li Yiping, et al. Phytoplankton in the heavy sediment-laden Weihe River and its tributaries from the northern foot of the Qinling Mountains: Community structure and environmental drivers [J]. Environmental Science and Pollution Research International, 2020,27(8):8359-8370.
    [24] 邢冰伟,徐季雄,曹玥,等.九寨沟国家级自然保护区长海夏季浮游植物群落结构及生态评价[J].湖泊科学,2020,32(4):1088-1099. Xing Bingwei, Xu Jixiong, Cao Yue, et al. Phytoplankton community structure and ecological evaluation in summer,Lake Changhai of Jiuzhaigou National Nature Reserve [J]. Journal of Lake Sciences, 2020,32(4):1088-1099.
    [25] 贺玉晓,刘天慧,任玉芬,等.北运河秋冬季浮游植物群落结构特征及影响因子分析[J].环境科学学报,2020,40(5):1710-1721. He Yuxiao, Liu Tianhui, Ren Yufen, et al. Characteristics and influencing factors of phytoplankton community structure in autumn and winter of the North Canal, Beijing [J]. Acta Scientiae Circumstantiae, 2020,40(5):1710-1721.
    [26] 杨宋琪,高兴亮,王丽娟,等.西北干旱区典型水库浮游植物群落结构特征及驱动因子[J].湖泊科学,2021,33(2):377-387. Yang Songqi, Gao Xingliang, Wang Lijuan, et al. Phytoplankton community structure and driving factors in typical reservoirs of arid region of Northwest China [J]. Journal of Lake Sciences, 2021,33(2):377-387.
    [27] 吴天浩,刘劲松,邓建明,等.大型过水性湖泊: 洪泽湖浮游植物群落结构及其水质生物评价[J].湖泊科学,2019,31(2):440-448. Wu Tianhao, Liu Jinsong, Deng Jianming, et al. Community structure of phytoplankton and bioassessment of water quality in a large water-carrying lake,Lake Hongze [J]. Journal of Lake Sciences, 2019,31(2):440-448.
    [28] 高锴,李泽利,赵兴华,等.于桥水库浮游植物群落时空动态及影响因素分析[J].农业资源与环境学报,2024,41(1):125-137. Gao Kai, Li Zeli, Zhao Xinghua, et al. Spatiotemporal dynamics of and influencing factors on the phytoplankton community in the Yuqiao Reservoir [J]. Journal of Agricultural Resources and Environment, 2024,41(1):125-137.
    [29] 胡智华,林妙丽,李港,等.城市闸控河流浮游植物群落结构特征及影响因素[J].环境科学学报,2021,41(9):3631-3640. Hu Zhihua, Lin Miaoli, Li Gang, et al. Phytoplankton community characteristics and influencing factors of the urban gate-controlled rivers [J]. Acta Scientiae Circumstantiae, 2021,41(9):3631-3640.
    [30] 巢欣,李晓东,杨清,等.雅鲁藏布江中上游浮游植物功能群季节演替特征对水环境的指示作用[J/OL].生态学杂志,2023:1-11.(2023-11-21).https://kns.cnki.net/kcms/detail/21.1148.Q.20231120.1416.010.html. Chao Xin, Li Xiaodong, Yang Qing, et al. Seasonal succession characteristics of phytoplankton functional groups in the middle and upper reaches of the Yarlung Zangbo River as an indicator of water environment [J/OL]. Chinese Journal of Ecology,2023:1-11.(2023-11-21).https://kns.cnki.net/kcms/detail/21.1148.Q.20231120.1416.010.html.
    [31] 李艳红,王雪漫,徐珺恺,等.鄱阳湖丰水期氮素分布特征及其对藻类的影响[J].水生态学杂志,2022,43(4):16-22. Li Yanhong, Wang Xueman, Xu Junkai, et al. Nitrogen distribution and its influence on the algae community of Poyang Lake in the wet season [J]. Journal of Hydroecology, 2022,43(4):16-22.
    [32] 张辉,彭宇琼,邹贤妮,等.南亚热带特大型水库浮游植物群落特征及其与环境因子的关系: 以新丰江水库为例[J].湖泊科学,2022,34(2):404-417. Zhang Hui, Peng Yuqiong, Zou Xianni, et al. The characteristics of phytoplankton community structure and its relationship with environmental factors of a large reservoir in subtropic of Southern China: A case study of Xinfengjiang Reservoir [J]. Journal of Lake Sciences, 2022,34(2):404-417.
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王兴明,滕杰,范廷玉,储昭霞,董众兵,董鹏.光伏电站对沉陷塘冬季水质和浮游植物群落结构的影响[J].水土保持通报英文版,2024,44(4):177-186

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  • Received:March 28,2024
  • Revised:May 19,2024
  • Online: September 04,2024