#demographics — Public Fediverse posts

Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
--
https://doi.org/10.1029/2025WR041393 <-- shared paper
--
https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
--
https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
--
https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
--
https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
--
https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
--
H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost

Growing Meltwater Reservoirs – Glacial Lakes Are Both A Resource And A Habitat Worthy Of Protection
--
https://www.uni-potsdam.de/en/headlines-and-featured-stories/detail/2026-01-28-growing-meltwater-reservoirs-glacial-lakes-are-both-a-resource-and-a-habitat-worthy-of-protection <-- shared technical article
--
https://doi.org/10.1038/s44221-025-00578-6 <-- shared paper
--
https://github.com/geveh/LakeVolumes <-- shared GitHub ‘code base’
--
#glaciallakes #GLOF #geomorphology #glaciers #hydrology #waterresources #glacier #melting #retreating #hydrogeomorphology #GIS #spatial #mapping #global #spatialanalysis #global #cryosphere #ice #water #hydrology #mountains #highaltitude #naturalresource #freshwater #reservoir #sediment #sedimentation #spatiotemporal #remotesensing #earthobservation #landcover #Arctic #coastal #meltwater #lake #longevity #watersecurity #risk #hazard #ecosystem #habitat #naturalhazard #planning #tourism #economy #usecase #watersupply #worldwide #population #demographics #glacial
@University of Potsdam | @University Of Leeds

Dr. Aiyana Willard (Explaining #Atheism Co-PI explainingatheism.org/people/core-team) presented quantitative "interim findings" for their 2nd #British survey.

1. The best explanation of #nonTheism: not being raised #religious

2. The next best explanation? #Reflection test performance?

#DataAnalysis notes:
- #bayesian logistic #regression with regularizing priors
- results similar for both binary (#atheist/#agnostic v. #theist) and ordinal (1-7) outcome, even when controlling for #demographics