Novel Hybrid Integration Approach of Bagging-Based Fisher's Linear Discriminant Function for Groundwater Potential Analysis

doi:10.1007/s11053-019-09465-w

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	Novel Hybrid Integration Approach of Bagging-Based Fisher's Linear Discriminant Function for Groundwater Potential Analysis
	Chen, Wei ; Pradhan, Biswajeet ; Li, Shaojun ; Shahabi, Himan ; Rizeei, Hossein Mojaddadi ; Hou, Enke ; Wang, Shengquan
刊名	NATURAL RESOURCES RESEARCH
	2019
卷号	28 期号:4 页码:1239-1258
关键词	Groundwater Machine learning Fisher's linear discriminant function (FLDA) Rotation forest (RTF) GIS
ISSN号	1520-7439
DOI	10.1007/s11053-019-09465-w
英文摘要	Groundwater is a vital water source in the rural and urban areas of developing and developed nations. In this study, a novel hybrid integration approach of Fisher's linear discriminant function (FLDA) with rotation forest (RFLDA) and bagging (BFLDA) ensembles was used for groundwater potential assessment at the Ningtiaota area in Shaanxi, China. A spatial database with 66 groundwater spring locations and 14 groundwater spring contributing factors was prepared; these factors were elevation, aspect, slope, plan and profile curvatures, sediment transport index, stream power index, topographic wetness index, distance to roads and streams, land use, lithology, soil and normalized difference vegetation index. The classifier attribute evaluation method based on the FLDA model was implemented to test the predictive competence of the mentioned contributing factors. The area under curve, confidence interval at 95%, standard error, Friedman test and Wilcoxon signed-rank test were used to compare and validate the success and prediction competence of the three applied models. According to the achieved results, the BFLDA model showed the most prediction competence, followed by the RFLDA and FLDA models, respectively. The resulting groundwater spring potential maps can be used for groundwater development plans and land use planning.
WOS研究方向	Geology
语种	英语
WOS记录号	WOS:000485321200002
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/14876]
专题	岩土力学所知识全产出_期刊论文
作者单位	1.Xian Univ Sci & Technol, Coll Geol & Environm, Xian 710054, Shaanxi, Peoples R China; 2.Shandong Univ Sci & Technol, Shandong Prov Key Lab Deposit Mineralizat & Sedim, Qingdao 266590, Shandong, Peoples R China; 3.Univ Technol Sydney, CAMGIS, Fac Engn & IT, Sydney, NSW 2007, Australia; 4.Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro Gwangjin Gu, Seoul 05006, South Korea
推荐引用方式 GB/T 7714	Chen, Wei,Pradhan, Biswajeet,Li, Shaojun,et al. Novel Hybrid Integration Approach of Bagging-Based Fisher's Linear Discriminant Function for Groundwater Potential Analysis[J]. NATURAL RESOURCES RESEARCH,2019,28(4):1239-1258.
APA	Chen, Wei.,Pradhan, Biswajeet.,Li, Shaojun.,Shahabi, Himan.,Rizeei, Hossein Mojaddadi.,...&Wang, Shengquan.(2019).Novel Hybrid Integration Approach of Bagging-Based Fisher's Linear Discriminant Function for Groundwater Potential Analysis.NATURAL RESOURCES RESEARCH,28(4),1239-1258.
MLA	Chen, Wei,et al."Novel Hybrid Integration Approach of Bagging-Based Fisher's Linear Discriminant Function for Groundwater Potential Analysis".NATURAL RESOURCES RESEARCH 28.4(2019):1239-1258.