干旱区生态环境知识资源中心(Arid): Machine Learning as a Diagnosis Tool of Groundwater Quality in Zones with High Agricultural Activity (Region of Campo de Cartagena, Murcia, Spain)

Arid

DOI	10.3390/agronomy12123076
	Machine Learning as a Diagnosis Tool of Groundwater Quality in Zones with High Agricultural Activity (Region of Campo de Cartagena, Murcia, Spain)
	Garcia-del-Toro, Eva M.; Garcia-Salgado, Sara; Mateo, Luis F.; Angeles Quijano, M.; Isabel Mas-Lopez, M.
通讯作者	García-del-Toro, EM
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2022
卷号	12 期号:12
英文摘要	Groundwater is humanity's freshwater pantry, constituting 97% of available freshwater. The 6th Sustainable Development Goal (SDG) of the UN Agenda 2030 promotes Ensure availability and sustainable management of water and sanitation for all, which takes special significance in arid or semi-arid regions. The region of Campo de Cartagena (Murcia, Spain) has one of the most technified and productive irrigation systems in Europe. As a result, the groundwater in this zone has serious chemical quality problems. To qualify and predict groundwater quality of this region, which may later facilitate its management, two machine learning models (Naive-Bayes and Decision-tree) are proposed. These models did not require great computing power and were developed from a reduced number of data using the KNIME (KoNstanz Information MinEr) tool. Their accuracy was tested by the corresponding confusion matrix, providing a high accuracy in both models. The obtained results showed that groundwater quality was higher in the northern and west zones. This may be due to the presence in the north of the Andalusian aquifer, the deepest in Campo de Cartagena, and in the west to the predominance of rainfed crops, where the amount of water available for leaching fertilizers is lower, coming mainly from rainfall.
英文关键词	agricultural activity nitrate groundwater contamination machine learning Naive-Bayes Decision-tree
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:000900415100001
WOS关键词	MANAGEMENT ; RESOURCES ; NUTRIENT ; NITRATE
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391792
推荐引用方式 GB/T 7714	Garcia-del-Toro, Eva M.,Garcia-Salgado, Sara,Mateo, Luis F.,et al. Machine Learning as a Diagnosis Tool of Groundwater Quality in Zones with High Agricultural Activity (Region of Campo de Cartagena, Murcia, Spain)[J],2022,12(12).
APA	Garcia-del-Toro, Eva M.,Garcia-Salgado, Sara,Mateo, Luis F.,Angeles Quijano, M.,&Isabel Mas-Lopez, M..(2022).Machine Learning as a Diagnosis Tool of Groundwater Quality in Zones with High Agricultural Activity (Region of Campo de Cartagena, Murcia, Spain).AGRONOMY-BASEL,12(12).
MLA	Garcia-del-Toro, Eva M.,et al."Machine Learning as a Diagnosis Tool of Groundwater Quality in Zones with High Agricultural Activity (Region of Campo de Cartagena, Murcia, Spain)".AGRONOMY-BASEL 12.12(2022).