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, Yongjun5,6
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| 刊名 | JOURNAL OF CLEANER PRODUCTION
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| 出版日期 | 2018-07-20 |
| 卷号 | 190页码:1-11 |
| 关键词 | Cluster analysis Principal component analysis Discriminant analysis Sustainable development Water quality decline |
| ISSN号 | 0959-6526 |
| 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. (C) 2018 Elsevier Ltd. All rights reserved. |
| 资助项目 | "the Hundred-Talent Program" of the Chinese Academy of Sciences ; National Natural Science Foundation of China[31670473] ; National Natural Science Foundation of China[51525902] ; CAS PIFI[2016VBA045] |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000433650600001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/6485]  |
| 专题 | 生态过程与重建研究中心 |
| 通讯作者 | Li, Siyue; Liang, Chuan |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu High Tech Pk, Chongqing 400714, Peoples R China 2.Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China 3.Univ Newcastle, Int Ctr Balanced Land Use, Newcastle Inst Energy & Resources, Callaghan, NSW 2308, Australia 4.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China 5.Southwest Univ, Chongqing Key Lab Karst Environm, Chongqing 400715, Peoples R China 6.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R 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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