#borkhar — Public Fediverse posts

A Socio-Hydrological Assessment Of Spatial Communities In An Aquifer Through Groundwater Modeling And Social Network Analysis
--
https://doi.org/10.1016/j.ejrh.2026.103989 <-- shared paper
--
H/T @Hamoon Yousefi | Water Resources Researcher | Socio-Hydrology | ABM, SNA & Groundwater Modeling | Python & Data Analytics | ANN & Machine Learning
“Th[is] study focuses on the Isfahan–Borkhar aquifer in central Iran, where severe groundwater depletion poses growing challenges for communities that depend heavily on agriculture.
In this research, [the authors] developed an integrated socio-hydrological approach that combines distributed groundwater modeling (MODFLOW) with Social Network Analysis (SNA) to examine the interactions between spatial communities, stakeholders, and the aquifer system.
Some of the key findings include:
• Groundwater levels declined by approximately 10 m over nine years, with local depletion reaching up to 25 metres.
• Communities with the highest water consumption were not necessarily those experiencing the greatest local depletion.
• High-consumption communities often exhibited low betweenness, suggesting weaker connections with other communities and potentially limited awareness of the broader hydrological consequences of their water-use patterns.
• A meta-graph representation was developed to examine inter-community relationships alongside their hydrological conditions and responses to water-withdrawal restrictions.
These findings highlight the importance of considering both hydrological processes and social structures when studying groundwater systems and developing strategies for sustainable water management…”
--
“HIGHLIGHTS:
• Integration of distributed groundwater modeling with social network analysis.
• Identification of community dynamics influencing aquifer conditions.
• Analysis of socio-hydrological strengths and weaknesses of communities.
• Groundwater levels declined 10 m on average, reaching 25 m locally.
• Some high-consuming communities experienced the least local depletion..."
#Groundwater #depletion #SocioHydrology #water #Hydrology #WaterResources #SocialNetworkAnalysis #SNA #MODFLOW #SustainableWaterManagement #GroundwaterManagement #Research #Isfahan #Borkhar #aquifer #Iran #watersecurity #community #overpumping #sustainable #watermanagement #farming #agriculture #irrigation #aquifer #hydrogeology #metagraph #culture #social

A Socio-Hydrological Assessment Of Spatial Communities In An Aquifer Through Groundwater Modeling And Social Network Analysis
--
https://doi.org/10.1016/j.ejrh.2026.103989 <-- shared paper
--
H/T @Hamoon Yousefi | Water Resources Researcher | Socio-Hydrology | ABM, SNA & Groundwater Modeling | Python & Data Analytics | ANN & Machine Learning
“Th[is] study focuses on the Isfahan–Borkhar aquifer in central Iran, where severe groundwater depletion poses growing challenges for communities that depend heavily on agriculture.
In this research, [the authors] developed an integrated socio-hydrological approach that combines distributed groundwater modeling (MODFLOW) with Social Network Analysis (SNA) to examine the interactions between spatial communities, stakeholders, and the aquifer system.
Some of the key findings include:
• Groundwater levels declined by approximately 10 m over nine years, with local depletion reaching up to 25 metres.
• Communities with the highest water consumption were not necessarily those experiencing the greatest local depletion.
• High-consumption communities often exhibited low betweenness, suggesting weaker connections with other communities and potentially limited awareness of the broader hydrological consequences of their water-use patterns.
• A meta-graph representation was developed to examine inter-community relationships alongside their hydrological conditions and responses to water-withdrawal restrictions.
These findings highlight the importance of considering both hydrological processes and social structures when studying groundwater systems and developing strategies for sustainable water management…”
--
“HIGHLIGHTS:
• Integration of distributed groundwater modeling with social network analysis.
• Identification of community dynamics influencing aquifer conditions.
• Analysis of socio-hydrological strengths and weaknesses of communities.
• Groundwater levels declined 10 m on average, reaching 25 m locally.
• Some high-consuming communities experienced the least local depletion..."
#Groundwater #depletion #SocioHydrology #water #Hydrology #WaterResources #SocialNetworkAnalysis #SNA #MODFLOW #SustainableWaterManagement #GroundwaterManagement #Research #Isfahan #Borkhar #aquifer #Iran #watersecurity #community #overpumping #sustainable #watermanagement #farming #agriculture #irrigation #aquifer #hydrogeology #metagraph #culture #social

A Socio-Hydrological Assessment Of Spatial Communities In An Aquifer Through Groundwater Modeling And Social Network Analysis
--
https://doi.org/10.1016/j.ejrh.2026.103989 <-- shared paper
--
H/T @Hamoon Yousefi | Water Resources Researcher | Socio-Hydrology | ABM, SNA & Groundwater Modeling | Python & Data Analytics | ANN & Machine Learning
“Th[is] study focuses on the Isfahan–Borkhar aquifer in central Iran, where severe groundwater depletion poses growing challenges for communities that depend heavily on agriculture.
In this research, [the authors] developed an integrated socio-hydrological approach that combines distributed groundwater modeling (MODFLOW) with Social Network Analysis (SNA) to examine the interactions between spatial communities, stakeholders, and the aquifer system.
Some of the key findings include:
• Groundwater levels declined by approximately 10 m over nine years, with local depletion reaching up to 25 metres.
• Communities with the highest water consumption were not necessarily those experiencing the greatest local depletion.
• High-consumption communities often exhibited low betweenness, suggesting weaker connections with other communities and potentially limited awareness of the broader hydrological consequences of their water-use patterns.
• A meta-graph representation was developed to examine inter-community relationships alongside their hydrological conditions and responses to water-withdrawal restrictions.
These findings highlight the importance of considering both hydrological processes and social structures when studying groundwater systems and developing strategies for sustainable water management…”
--
“HIGHLIGHTS:
• Integration of distributed groundwater modeling with social network analysis.
• Identification of community dynamics influencing aquifer conditions.
• Analysis of socio-hydrological strengths and weaknesses of communities.
• Groundwater levels declined 10 m on average, reaching 25 m locally.
• Some high-consuming communities experienced the least local depletion..."
#Groundwater #depletion #SocioHydrology #water #Hydrology #WaterResources #SocialNetworkAnalysis #SNA #MODFLOW #SustainableWaterManagement #GroundwaterManagement #Research #Isfahan #Borkhar #aquifer #Iran #watersecurity #community #overpumping #sustainable #watermanagement #farming #agriculture #irrigation #aquifer #hydrogeology #metagraph #culture #social

A Socio-Hydrological Assessment Of Spatial Communities In An Aquifer Through Groundwater Modeling And Social Network Analysis
--
https://doi.org/10.1016/j.ejrh.2026.103989 <-- shared paper
--
H/T @Hamoon Yousefi | Water Resources Researcher | Socio-Hydrology | ABM, SNA & Groundwater Modeling | Python & Data Analytics | ANN & Machine Learning
“Th[is] study focuses on the Isfahan–Borkhar aquifer in central Iran, where severe groundwater depletion poses growing challenges for communities that depend heavily on agriculture.
In this research, [the authors] developed an integrated socio-hydrological approach that combines distributed groundwater modeling (MODFLOW) with Social Network Analysis (SNA) to examine the interactions between spatial communities, stakeholders, and the aquifer system.
Some of the key findings include:
• Groundwater levels declined by approximately 10 m over nine years, with local depletion reaching up to 25 metres.
• Communities with the highest water consumption were not necessarily those experiencing the greatest local depletion.
• High-consumption communities often exhibited low betweenness, suggesting weaker connections with other communities and potentially limited awareness of the broader hydrological consequences of their water-use patterns.
• A meta-graph representation was developed to examine inter-community relationships alongside their hydrological conditions and responses to water-withdrawal restrictions.
These findings highlight the importance of considering both hydrological processes and social structures when studying groundwater systems and developing strategies for sustainable water management…”
--
“HIGHLIGHTS:
• Integration of distributed groundwater modeling with social network analysis.
• Identification of community dynamics influencing aquifer conditions.
• Analysis of socio-hydrological strengths and weaknesses of communities.
• Groundwater levels declined 10 m on average, reaching 25 m locally.
• Some high-consuming communities experienced the least local depletion..."
#Groundwater #depletion #SocioHydrology #water #Hydrology #WaterResources #SocialNetworkAnalysis #SNA #MODFLOW #SustainableWaterManagement #GroundwaterManagement #Research #Isfahan #Borkhar #aquifer #Iran #watersecurity #community #overpumping #sustainable #watermanagement #farming #agriculture #irrigation #aquifer #hydrogeology #metagraph #culture #social