Study title

Colombia, United Kingdom

Individual

Geographic Unit

Time unit

Group

Other

Social science data acquisition:-Participants include a mix of men and women, and age groups. Interviews were semi-structured, with participants invited to reflect on their personal and community histories, their relationship with the river and their territory, and the challenges facing Chocó. These interviews are supplemented with focus groups with community leaders and civil servants, and ‘elite’ or ‘expert’ interviews, including representatives of government agencies and non-governmental organisations. These interviews tend to focus on the wider social, political and economic context of Chocó. Given the sensitivities of the topics covered in the data, all transcriptions have been anonymised (and therefore redacted) in accordance with the project’s ethical protocols to protect the safety of participants. For further information read documentation ("Social Science Data, Colombia River Stories, UK Data Service.pdf").Citizen science data acquisition:-Most of the environmental monitoring of water resources data were collected through a citizen science environmental monitoring programme. Additional data were collected by the project team. Read documentation on how data was collected ('01_Method_Data_Collection.pdf').Hydrogeochemical data sets:-Measurements of water in-situ parameters using hand-held devices, water and sediment sampling for ion chemistry, water stable isotopes, water metal speciation, water and soil metal speciation. Read documentation on how data was collected and manipulated ('Colombia River Stories chemistry data deposit info.docx' & ‘Colombia River Stories hydrochemical data.xls’). Satellite imagery data acquisition:-Pre-processing of satellite imageries such as atmospheric, radiometric and geometric correction. Satellite image noise removal.-Processing of satellite imageries in order to highlight changes thought the time. Creation of false colour composites of temporal images. Read documentation for further information ('01_River_Stories_RS_detecting_monitoring_deforestation_mining.pdf')The Atrato Subcatchment Sediment Load Estimation & analysis of mining impacts on the planform of the Rio Quito:- Use of BQART empirical model to account for the long-term variance in catchment sediment fluxes (± 30 years), and recent studies have shown that BQART can be used to successfully capture the inter-annual variance in river sediment fluxes.- Use of a simplification of the sediment erosion / transport system by assuming that topsoil is a primary contributor to the elevated sediment loads that mining generates – an assumption that is supported by field observations that indicate a total loss of soil in areas that have been mined. - A sediment load estimation and planform analysis procedure based on diverse variables, datasets and factors.- Read documentation for further information ('Technical Document Mining Impacts on Rio Quito December 2020.pdf'; 'Atrato Subcatchment Pre-Mining Sediment Load Estimation Methodology.docx'; 'Rio Quito Planform Analysis Methodology.docx').