干旱区生态环境知识资源中心(Arid): Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

Arid

DOI	10.3390/w12040985
	Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
	Viet-Ha Nhu; Rahmati, Omid; Falah, Fatemeh; Shojaei, Saeed; Al-Ansari, Nadhir; Shahabi, Himan; Shirzadi, Ataollah; Gorski, Krzysztof; Hoang Nguyen; Bin Ahmad, Baharin
通讯作者	Al-Ansari, N
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:4
英文摘要	Groundwater is an important natural resource in arid and semi-arid environments, where discharge from karst springs is utilized as the principal water supply for human use. The occurrence of karst springs over large areas is often poorly documented, and interpolation strategies are often utilized to map the distribution and discharge potential of springs. This study develops a novel method to delineate karst spring zones on the basis of various hydrogeological factors. A case study of the Bojnourd Region, Iran, where spring discharge measurements are available for 359 sites, is used to demonstrate application of the new approach. Spatial mapping is achieved using ensemble modelling, which is based on certainty factors (CF) and logistic regression (LR). Maps of the CF and LR components of groundwater potential were generated individually, and then, combined to prepare an ensemble map of the study area. The accuracy (A) of the ensemble map was then assessed using area under the receiver operating characteristic curve. Results of this analysis show that LR (A = 78%) outperformed CF (A = 67%) in terms of the comparison between model predictions and known occurrences of karst springs (i.e., calibration data). However, combining the CF and LR results through ensemble modelling produced superior accuracy (A = 85%) in terms of spring potential mapping. By combining CF and LR statistical models through ensemble modelling, weaknesses in CF and LR methods are offset, and therefore, we recommend this ensemble approach for similar karst mapping projects. The methodology developed here offers an efficient method for assessing spring discharge and karst spring potentials over regional scales.
英文关键词	ensemble model karst springs certainty factor logistic regression GIS
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000539527500062
WOS关键词	EVIDENTIAL BELIEF FUNCTION ; ANALYTICAL HIERARCHY PROCESS ; SUPPORT VECTOR MACHINE ; ARTIFICIAL-INTELLIGENCE APPROACH ; BIOGEOGRAPHY-BASED OPTIMIZATION ; LOGISTIC-REGRESSION MODELS ; FUZZY INFERENCE SYSTEM ; REMOTE-SENSING DATA ; LANDSLIDE SUSCEPTIBILITY ; FREQUENCY RATIO
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324717
作者单位	[Viet-Ha Nhu] Ton Duc Thang Univ, Geog Informat Sci Res Grp, Ho Chi Minh City, Vietnam; [Viet-Ha Nhu] Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam; [Rahmati, Omid] AREEO, Soil Conservat & Watershed Management Res Dept, Kurdistan Agr & Nat Resources Res & Educ Ctr, Sanandaj 6616936311, Iran; [Falah, Fatemeh] Lorestan Univ, Fac Agr & Nat Resources, Dept Watershed Management, Lorestan 6815144316, Iran; [Shojaei, Saeed] Islamic Azad Univ, Zahedan Branch, Young Researchers & Elite Club, Zahedan 9816743545, Iran; [Al-Ansari, Nadhir] Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, Sweden; [Shahabi, Himan] Univ Kurdistan, Fac Nat Resources, Dept Geomorphol, Sanandaj 6617715175, Iran; [Shahabi, Himan] Univ Kurdistan, Kurdistan Studies Inst, Dept Zrebar Lake Environm Res, Sanandaj 6617715175, Iran; [Shirzadi, Ataollah] Univ Kurdistan, Fac Nat Resources, Dept Rangeland & Watershed Management, Sanandaj 6617715175, Iran; [Gorski, Krzysztof] Kazimierz Pulaski ...
推荐引用方式 GB/T 7714	Viet-Ha Nhu,Rahmati, Omid,Falah, Fatemeh,et al. Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models[J],2020,12(4).
APA	Viet-Ha Nhu.,Rahmati, Omid.,Falah, Fatemeh.,Shojaei, Saeed.,Al-Ansari, Nadhir.,...&Bin Ahmad, Baharin.(2020).Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models.WATER,12(4).
MLA	Viet-Ha Nhu,et al."Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models".WATER 12.4(2020).