Characterization of the water bodies of Extremadura (SW Spain)
-
Published:2023-04-13
Issue:5
Volume:195
Page:
-
ISSN:0167-6369
-
Container-title:Environmental Monitoring and Assessment
-
language:en
-
Short-container-title:Environ Monit Assess
Author:
Abdennour Mohamed AmineORCID, Contador J. Francisco Lavado, González Jesús Barrena, Piccini Chiara, Landaverde Anthony Gabourel, Fernández Manuel Pulido
Abstract
AbstractExtremadura is the region that stores the greatest amount of fresh water in Spain. Such water is mainly used for power generation, irrigation in agriculture, biodiversity conservation, tourism, recreation, and human and livestock consumption. Nevertheless, crucial information on the total number of water bodies and their geometrical characteristics and spatial distribution patterns are still missing. Thus, our main goal was to characterize the Extremenian water bodies geometrically and spatially through different statistical techniques such as kernel density, Moran’s index, the Getis-Ord Gi*, and principal component analysis (PCA). Firstly, all existing hydrological information was gathered, and using aerial aircraft imagery and satellite images, each water body (WB) was then carefully collected, checked, and corrected. We have inventoried 100,614 WBs (mean density: 2.45 WB km2), irregularly distributed on the territory. WBs with an area < 0.01 km2 (100 ha) represent 64.5% of the total. A multivariate statistical study was conducted, showing that livestock, aridity of the climate, and topography are the main factors controlling the density of water bodies (WBs) in this area. It can be concluded that monitoring of small bodies is crucial to understand their spatial distribution, since they are spread over areas in which extensive farming and commercial crops such as tobacco strongly influence the way of living of many families.
Funder
Junta de Extremadura European Union Universidad de Extremadura
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Reference73 articles.
1. Abdennour, M. A., Douaoui, A., Bradai, A., Bennacer, A., & Pulido Fernández, M. (2019). Application of kriging techniques for assessing the salinity of irrigated soils: The case of El Ghrous perimeter, Biskra. Algeria. Spanish Journal of Soil Science, 9(2), 105–124. 2. Abdennour, M. A., Douaoui, A., Piccini, C., Pulido, M., Bennacer, A., Bradaï, A., & Yahiaoui, I. (2020). Predictive mapping of soil electrical conductivity as a proxy of soil salinity in south-east of Algeria. Environmental and Sustainability Indicators, 8, 100087. https://doi.org/10.1016/j.indic.2020.100087 3. Abijith, D., Saravanan, S., Singh, L., Jennifer, J. J., Saranya, T., & Parthasarathy, K. (2020). GIS-based multi-criteria analysis for identification of potential groundwater recharge zones-a case study from Ponnaniyaru watershed, Tamil Nadu, India. HydroResearch, 3, 1–14. 4. Al-Khuzaie, M. M., Janna, H., & Al-Ansari, N. (2020). Assessment model of water harvesting and storage location using GIS and remote sensing in Al-Qadisiyah, Iraq. Arabian Journal of Geosciences, 13, 1–9. 5. Arslan, H. (2012). Spatial and temporal mapping of groundwater salinity using ordinary kriging and indicator kriging: The case of Bafra Plain, Turkey. Agricultural Water Management, 113, 57–63.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|