Evaluation and Clustering Maps of Groundwater Wells in the Red Beds of Chengdu, Sichuan, ChinaReportar como inadecuado




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School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

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Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

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Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geo-information, Wuhan University, 129 Luoyu Road, Wuhan 430072, China

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Chengdu Land and Resource Information Center, 69 Jinxiu West Road, Chengdu 610072, China





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Academic Editor: David J. O’Brien

Abstract Since the start of the 21st century, groundwater wells have been placed in red beds to solve the problem of scarce water resources in Southwest China and have rapidly expanded to other areas. By providing examples of cartography in Chengdu and Sichuan, China, and using the locations of groundwater in fractures and pores when monitoring and managing red sandstone and mudstone wells, a series of maps of groundwater wells at different scales in the red beds of Chengdu was obtained. Most of the wells located in red beds are located in Jintang, Dayi, and Qingbaijiang and exhibit different cluster features. The kernel density estimation and spatial cluster analysis classification methods were used based on the Density Based Spatial Clustering of Applications with Noise algorithm DBSCAN in three concentrated areas. This method describes the trends of the clustering results and the relationships between the locations of residents and red bed wells. The cartography results show that the groundwater wells in red beds are mainly distributed in hilly areas and partially correspond with the locations of villages and settlements, particularly their geological and topographic factors, which satisfy the maximum requirements of water use and recycling in Southwest China. The irrigation wells located in red beds are not only reliable and efficient but also replace inefficient water resources in the recharge-runoff-discharge groundwater process, which promotes the sustainable development of groundwater resources. View Full-Text

Keywords: groundwater wells in red beds; point clustering; drinking water; irrigation; DBSCAN groundwater wells in red beds; point clustering; drinking water; irrigation; DBSCAN





Autor: Haijing Zhang 1,2,3, Qingyun Du 1,2,3, Min Yao 4 and Fu Ren 1,2,3,*

Fuente: http://mdpi.com/



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