Cristina Gauthier

ORCID: 0000-0003-4334-0147
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About
Contact & Profiles
Research Areas
  • Fish biology, ecology, and behavior
  • Hydropower, Displacement, Environmental Impact
  • Child Nutrition and Water Access
  • Water Governance and Infrastructure
  • Wastewater Treatment and Reuse
  • Oil Spill Detection and Mitigation
  • Water resources management and optimization
  • Fecal contamination and water quality
  • Atmospheric and Environmental Gas Dynamics

Michigan State University
2018-2025

Altamira city, in the north of Brazil, is known to be a support region since construction Belo Monte Hydroelectric Complex. The Xingu River permeates being extremely important as tributary Amazon River. Only portion population provided with basic sanitation, and alternatively use water wells septic tanks, which can sources contamination. study sought understand seasonal variation fecal contamination groundwater resources. households were divided into six zones, from 30 sampled dry wet...

10.5433/1679-0367.2024v45n2p157 article EN cc-by-nc Semina Ciências Biológicas e da Saúde 2025-01-06

A implantação da Usina Hidrelétrica de Belo Monte, na região Altamira-Pará, foi atrelada a compensações e condicionantes socioambientais para que seu projeto construção fossem aprovados. Entre essas estava garantia universalização do saneamento básico cidade Altamira. pesquisa analisou se tal condicionante efetivamente cumprida, com base análise expansão dos serviços básico, ou seja, os abastecimento água, coleta tratamento esgoto doméstico resíduos sólidos – entre anos 2010 2022, abrangendo...

10.18542/ncn.v28i1.16475 article PT cc-by-nc Novos Cadernos NAEA 2025-04-28

Heavy investments in hydroelectric development are occurring throughout the Amazon Basin, which holds 42.2 percent of Brazil's potential. The Belo Monte dam is most recent and largest project this region. prevalence septic systems Amazon, coupled with widespread use water wells rising table from filling reservoir, create sanitation health concerns for upstream communities. Using spatial analytical data terrain analyses, we identify high-risk locations within densely populated neighborhoods...

10.1080/00330124.2018.1518721 article EN The Professional Geographer 2019-01-15
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