A comparative assessment of Australia's Lower Lakes water quality under extreme drought and post-drought conditions using multivariate statistical techniques
文献类型：期刊论文
| 作者 | Li, Tianyang1,2; Li, Siyue1 ; Liang, Chuan2; Bush, Richard T.3; Xiong, Lihua4; Jiang, Yongjun5
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| 刊名 | Journal of Cleaner Production
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| 出版日期 | 2018 |
| 卷号 | 190页码:1-11 |
| ISSN号 | 09596526 |
| DOI | 10.1016/j.jclepro.2018.04.121 |
| 英文摘要 | Drought generally results in a decline to freshwater quality, but the spatial nature of these impacts and recovery processes in large lakes systems remain poorly understood. This study applied multiple statistical methods such as cluster analysis (CA), discriminant analysis (DA), principal component analysis (PCA) and factor analysis (FA), to assess spatial and temporal variations of water quality in the Lower Lakes (Australia) during drought (April 2008–September 2010) and post-drought (October 2010–October 2013) periods. The comprehensive analysis of water quality from 22 locations and including 22 key parameters showed that Lower Lakes were eutrophic in both drought and post-drought periods with higher nutrient and algae concentrations than guideline levels for aquatic ecosystem. The Lower Lakes were identified three distinct spatial zones, i.e., (1) low eutrophication for the southeast of Lower Lakes (SE), (2) moderate eutrophication for northeast of Lower Lakes (NE), and (3) high eutrophication for northwest of Lower Lakes (NW) in the drought as well as low eutrophication for NW and high eutrophication for SE in the post-drought. DA allowed a better reduction in the dimensionality of the large dataset during post-drought than during the drought period with better results for spatial analysis rather than for temporal analysis regardless of hydrological periods. PCA/FA reflected three major factors of mineral dissolution, erosion and anthropogenic sources accounting for water constituents. Our results demonstrate the powerful utility of multivariate statistical techniques for revealing the persistent and spatially complex nature of drought-induced impacts on lake water quality and highlight that optimal utilization of water resources in the upper catchment of Lower Lakes are urgently needed for the sustainable lake ecosystems. © 2018 Elsevier Ltd |
| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/8007]  |
| 专题 | 生态水文研究中心 |
| 作者单位 | 1.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China; 2.State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu; Sichuan; 610065, China; 3.International Centre for Balanced Land Use, Newcastle Institute for Energy & Resources, The University of Newcastle, NSW; 2308, Australia; 4.State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan; 430072, China; 5.Chongqing Key Laboratory of Karst Environment & School of Geographical Sciences of Southwest University, Chongqing; 400715, China |
| 推荐引用方式 GB/T 7714 | Li, Tianyang,Li, Siyue,Liang, Chuan,et al. A comparative assessment of Australia's Lower Lakes water quality under extreme drought and post-drought conditions using multivariate statistical techniques[J]. Journal of Cleaner Production,2018,190:1-11. |
| APA | Li, Tianyang,Li, Siyue,Liang, Chuan,Bush, Richard T.,Xiong, Lihua,&Jiang, Yongjun.(2018).A comparative assessment of Australia's Lower Lakes water quality under extreme drought and post-drought conditions using multivariate statistical techniques.Journal of Cleaner Production,190,1-11. |
| MLA | Li, Tianyang,et al."A comparative assessment of Australia's Lower Lakes water quality under extreme drought and post-drought conditions using multivariate statistical techniques".Journal of Cleaner Production 190(2018):1-11. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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