Machine Well Screening Method Based on POI Data and DBSCAN Clustering Algorithm

Maintaining machinery wells, key to groundwater sustainability, is vital for managing these precious resources. In keeping with the need for effective groundwater management, this study introduces a screening process leveraging the Density-Based Spatial Clustering of Applications with Noise (DBSCAN)...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 22; S. 1 - 5
Hauptverfasser:	Gan, Xing, Fan, Haiyan, Yang, Moyuan, Tang, Fangfang, Liu, Honglu, Ma, Zhijun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms ArcGis Artificial intelligence Clustering Clustering algorithms Data mining Demand analysis density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm Groundwater Groundwater management Groundwater resources Land use point of interest (POI) Public waters Resource management Screening Spatial analysis spatial association analysis Springs Training Water conservation Water demand Water pollution Water resources Water resources management Water wells
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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