A complex network analysis of groundwater wells in and around the Doñana Natural Space, Spain

• A weighted network of groundwater wells was built using abstraction volumes and a distance threshold. • The spatial distribution of the network and its topological characteristics are thoroughly analysed. • Two new abstraction-based impact centrality indexes are proposed and used to identify critical wells. • The aquifer of the Doñana Natural Space, which is overexploited, is used as case study. This paper proposes the use of Complex Network Analysis tools to study the spatial distribution and temporal evolution of groundwater abstraction wells within a region of interest. To that end a weighted undirected network connecting wells within a certain distance was built. The edge weights take into account the distance between the wells as well as their corresponding abstraction volumes. In addition to the conventional complex network metrics, two specific abstraction-based centrality indexes are proposed, based on the total impact of a groundwater abstraction well on its surrounding wells and on the total impact of surrounding wells on a specific location. The proposed approach has been applied to the area of the Doñana Natural Space, one of the most important wetlands in Europe. The topology of the network reveals a large number of small, disconnected components and a few large components. This is reflected also in the degree distribution, which follows a Power Law distribution. The network has a large average clustering coefficient, a small average path length and a low level of centralisation. Global and average local network efficiency are also high. The network is assortative in terms of degree-degree and strength-strength correlations. Eigenvector centrality of the nodes reveals the location of influential wells.

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Publication Details

Journal
Journal of Hydrology
Published
2024-09-27
DOI
https://doi.org/10.1016/j.jhydrol.2024.132079
Citations
3
Primary Topic
Karst Systems and Hydrogeology
Type
article
Field-Weighted Citation Impact
1.55

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article

A complex network analysis of groundwater wells in and around the Doñana Natural Space, Spain

Sebastián Lozano, R. Rodríguez-Alarcón
3 citations
Journal of Hydrology
Karst Systems and Hydrogeology
1.55
article

A complex network analysis of groundwater wells in and around the Doñana Natural Space, Spain

Sebastián Lozano, R. Rodríguez-Alarcón
article en
3 citations

Abstract

• A weighted network of groundwater wells was built using abstraction volumes and a distance threshold. • The spatial distribution of the network and its topological characteristics are thoroughly analysed. • Two new abstraction-based impact centrality indexes are proposed and used to identify critical wells. • The aquifer of the Doñana Natural Space, which is overexploited, is used as case study. This paper proposes the use of Complex Network Analysis tools to study the spatial distribution and temporal evolution of groundwater abstraction wells within a region of interest. To that end a weighted undirected network connecting wells within a certain distance was built. The edge weights take into account the distance between the wells as well as their corresponding abstraction volumes. In addition to the conventional complex network metrics, two specific abstraction-based centrality indexes are proposed, based on the total impact of a groundwater abstraction well on its surrounding wells and on the total impact of surrounding wells on a specific location. The proposed approach has been applied to the area of the Doñana Natural Space, one of the most important wetlands in Europe. The topology of the network reveals a large number of small, disconnected components and a few large components. This is reflected also in the degree distribution, which follows a Power Law distribution. The network has a large average clustering coefficient, a small average path length and a low level of centralisation. Global and average local network efficiency are also high. The network is assortative in terms of degree-degree and strength-strength correlations. Eigenvector centrality of the nodes reveals the location of influential wells.

Journal of HydrologyVol. 644
Hospital Alto Guadalquivir (ES), Universidad de Sevilla (ES)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 19%
Karst Systems and Hydrogeology
1.55
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