干旱区生态环境知识资源中心(Arid): Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain

Arid

DOI	10.3390/w12041063
	Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain
	Naranjo-Fernandez, Nuria; Guardiola-Albert, Carolina; Aguilera, Hector; Serrano-Hidalgo, Carmen; Montero-Gonzalez, Esperanza
通讯作者	Guardiola-Albert, C
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:4
英文摘要	Groundwater resources are regularly the principal water supply in semiarid and arid climate areas. However, groundwater levels (GWL) in semiarid aquifers are suffering a general decrease because of anthropic exploitation of aquifers and the repercussions of climate change. Effective groundwater management strategies require a deep characterization of GWL fluctuations, in order to identify individual behaviors and triggering factors. In September 2019, the Guadalquivir River Basin Authority (CHG) declared that there was over-exploitation in three of the five groundwater bodies of the Almonte-Marismas aquifer, Southwest Spain. For that reason, it is critical to understand GWL dynamics in this aquifer before the new Spanish Water Resources Management Plans (2021-2027) are developed. The application of GWL series clustering in hydrogeology has grown over the past few years, as it is an extraordinary tool that promptly provides a GWL classification; each group can be related to different responses of a complex aquifer under any external change. In this work, GWL time series from 160 piezometers were analyzed for the period 1975 to 2016 and, after data pre-processing, 24 piezometers were selected for clustering with k-means (static) and time series (dynamic) clustering techniques. Six and seven groups (k) were chosen to apply k-means. Six characterized types of hydrodynamic behaviors were obtained with time series clustering (TSC). Number of clusters were related to diverse affections of water exploitation depending on soil uses and hydrogeological spatial distribution parameters. TSC enabled us to distinguish local areas with high hydrodynamic disturbance and to highlight a quantitative drop of GWL during the studied period.
英文关键词	groundwater level hydrographs k-means clustering time series clustering water resource management
类型	Article
语种	英语
开放获取类型	Green Accepted, gold
收录类别	SCI-E
WOS记录号	WOS:000539527500140
WOS关键词	MANAGEMENT ; RESOURCES ; IMPACTS ; WETLAND ; SUPPORT
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/2XILL650/324718
作者单位	[Naranjo-Fernandez, Nuria; Montero-Gonzalez, Esperanza] Univ Complutense Madrid, Fac Ciencias Geol, Calle Jose Antonio Novais 12, Madrid 28040, Spain; [Guardiola-Albert, Carolina; Aguilera, Hector; Serrano-Hidalgo, Carmen] Inst Geol & Minero Espana, Calle Rios Rosas 23, Madrid 28003, Spain
推荐引用方式 GB/T 7714	Naranjo-Fernandez, Nuria,Guardiola-Albert, Carolina,Aguilera, Hector,et al. Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain[J],2020,12(4).
APA	Naranjo-Fernandez, Nuria,Guardiola-Albert, Carolina,Aguilera, Hector,Serrano-Hidalgo, Carmen,&Montero-Gonzalez, Esperanza.(2020).Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain.WATER,12(4).
MLA	Naranjo-Fernandez, Nuria,et al."Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain".WATER 12.4(2020).