Journalartikel

A hotspot analysis of water footprints and groundwater decline in the High Plains aquifer region, USA


AutorenlisteMultsch, S; Pahlow, M; Ellensohn, J; Michalik, T; Frede, HG; Breuer, L

Jahr der Veröffentlichung2016

Seiten2419-2428

ZeitschriftRegional Environmental Change

Bandnummer16

Heftnummer8

ISSN1436-3798

DOI Linkhttps://doi.org/10.1007/s10113-016-0968-5

VerlagSpringer


Abstract
Severe groundwater depletion of the High Plains aquifer (HPA) demands sustainable utilization of water resources to ensure continued freshwater supply in the region. Considering the period 1990-2012, the region's average water footprint (WFarea) of the major irrigated crops alfalfa, corn, cotton, sorghum, soybean and wheat has been determined as 45.72 km(3) year(-1) (54 % blue, 46 % green). Clustering the HPA by groundwater decline, blue WFarea and green WFarea allowed for spatial differentiation of hotspots. We show that two clusters, classified as "significant" and "severe," cover 20 % of the irrigated land, yet consume 32 % (7.94 km(3) year(-1)) of the total blue WFarea. WFcrop (blue and green water consumption per unit yield) is highest in the cluster "severe," paired with the largest fraction of blue water consumption (66 %). In contrast, green water satisfies crop water demands in the northern subregion, where the lowest WFcrop and the largest fraction of green water consumption occur (67 %).



Autoren/Herausgeber




Zitierstile

Harvard-ZitierstilMultsch, S., Pahlow, M., Ellensohn, J., Michalik, T., Frede, H. and Breuer, L. (2016) A hotspot analysis of water footprints and groundwater decline in the High Plains aquifer region, USA, Regional Environmental Change, 16(8), pp. 2419-2428. https://doi.org/10.1007/s10113-016-0968-5

APA-ZitierstilMultsch, S., Pahlow, M., Ellensohn, J., Michalik, T., Frede, H., & Breuer, L. (2016). A hotspot analysis of water footprints and groundwater decline in the High Plains aquifer region, USA. Regional Environmental Change. 16(8), 2419-2428. https://doi.org/10.1007/s10113-016-0968-5



Schlagwörter


Cluster analysis

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