Impacts of metal mining on river systems: a global assessment

This is the author accepted manuscript. The final version is available from the American Association for the Advancement of Science via the DOI in this record Data and materials availability: The Water and Planetary Health Analytics (WAPHA) global metal mines database is divided into four components. Publicly available data on (i) active and (ii) inactive metal mines are available from the US Geological Survey Mineral Resources Data System [https://mrdata.usgs.gov/mrds/ (31)], the BritPits database of the British Geological Survey [https://www.bgs.ac.uk/datasets/britpits/ (32)], and the S&P Global Market Intelligence database [https://www.spglobal.com/marketintelligence/en/campaigns/metals-mining (33)]. In addition, data for ~100,000 additional active and inactive mines obtained from academic and gray literature are stored in the WAPHA database [https://doi.org/10.5061/dryad.j3tx95xmg (29)]. Publicly available data relating to (iii) TSFs and (iv) TDFs are available from ICOLD/UNEP [https://books.google.co.uk/books?id=8W0hAQAAIAAJ (34)], the World Information Service on Energy [https://wise-uranium.org/mdaf.html (35)], the World Mine Tailings Failures and Global Tailings Portal databases [https://tailing.grida.no/ (36)]. Additional TSF/TDF data obtained from academic and gray literature are stored in the WAPHA database [https://doi.org/10.5061/dryad.j3tx95xmg (29)]. Modeling was implemented procedurally in MATLAB v9.9.0 (R2020b) (37) with the open source TopoToolbox MATLAB program for the analysis of digital elevation models (https://topotoolbox.wordpress.com). The modeling workflow is presented in fig. S8 with example code available in the WAPHA database [https://doi.org/10.5061/dryad.j3tx95xmg (29)]An estimated 23 million people live on floodplains affected by potentially dangerous concentrations of toxic waste derived from past and present metal mining activity. We analyzed the global dimensions of this hazard, particularly in regard to lead, zinc, copper, and arsenic, using a georeferenced global database detailing all known metal mining sites and intact and failed tailings storage facilities. We then used process-based and empirically tested modeling to produce a global assessment of metal mining contamination in river systems and the numbers of human populations and livestock exposed. Worldwide, metal mines affect 479,200 kilometers of river channels and 164,000 square kilometers of floodplains. The number of people exposed to contamination sourced from long-term discharge of mining waste into rivers is almost 50 times greater than the number directly affected by tailings dam failures.University of Lincol

Impacts of climate change on varied river-flow regimes of Southern India

This paper assesses the possible impact of climate change on the hydrology of the subhumid and perhumid river regimes originating from the western mountain range (Western Ghats) of India. The modified Mann-Kendall test evaluates the trend of observed data (1975–2004) and RCP 4.5 data (2006–2070) of climatic variables. The results indicate a decreasing trend for annual rainfall over the Malaprabha River catchment (26 mm per year at the 5% significance level), whereas no trend is observed over the Netravathi River catchment at the 10% level. Indian southwestern monsoon rainfall shows a decreasing trend from 84 to 80% of total rainfall in the Malaprabha River catchment and from 80 to 77% in the Netravathi River catchment. Summer rains are found to be increasing in the Malaprabha River catchment (3–4.5% of total rainfall), whereas there is no significant trend for the Netravathi River catchment. Furthermore, the postmonsoon rainfall also shows a significant increase in the Malaprabha catchment (40 mm per decade at the 5% significance level) and the Netravathi catchment (30 mm per decade at the 10% significance level). The Netravathi River shows a decreasing trend for annual flow (0.22  Mm30.22  Mm3 per year at the 10% significance level). However, for both catchments the temperature is found to be increasing by 0.2–0.8°C per decade. The soil and water assessment tool (SWAT) model is used to simulate the river catchments and exhibits a Nash–Sutcliffe efficiency of 0.831 and 0.857 for the Malaprabha and Netravathi River catchments, respectively. In addition, a decreasing trend in the high flow is estimated for Netravathi, whereas the trend is increasing for Malaprabha. Thus the impacts of climate change over the Western Ghats are very evident, but the flow of each river responds differently

Assessing climate change impacts on river hydrology – A case study in the Western Ghats of India

The objective of this study is to evaluate the hydrological impacts of climate change on rainfall, temperature and streamflow in a west flowing river originating in the Western Ghats of India. The longterm trend analysis for 110 yr of meteorological variables (rainfall and temperature) was carried out using the modified Mann–Kendall trend test and the magnitude of the trend was quantified using the Sen’s slope estimator. The Regional Climate Model (RCM), COordinated Regional climate Downscaling EXperiment (CORDEX) simulated daily weather data of baseline (1951–2005) and future RCP 4.5 scenarios (2006– 2060) were used to run the hydrological model, Soil and Water Assessment Tool (SWAT), in order to evaluate the effect of climate change on rainfall, temperature and streamflow. Significant changes were observed with regard to rainfall, which have shown decreasing trend at the rate of 2.63mm per year for the historical and 8.85mm per year for RCP 4.5 future scenarios. The average temperature was found to be increasing at 0.10 ◦C per decade for both historical and future scenarios. The impact of climate change on the annual streamflow yielded a decreasing trend at the rate of 1.2Mm3 per year and 2.56Mm3, respectively for the past and future scenarios. The present work also investigates the capability of SWAT to simulate the groundwater flow. The simulated results are compared with the recession limb of the hydrograph and were found to be reasonably accurate

Impacts of metal mining on river systems:a global assessment

An estimated 23 million people live on floodplains affected by potentially dangerous concentrations of toxic waste derived from past and present metal mining activity. We analyzed the global dimensions of this hazard, particularly in regard to lead, zinc, copper, and arsenic, using a georeferenced global database detailing all known metal mining sites and intact and failed tailings storage facilities. We then used process-based and empirically tested modeling to produce a global assessment of metal mining contamination in river systems and the numbers of human populations and livestock exposed. Worldwide, metal mines affect 479,200 kilometers of river channels and 164,000 square kilometers of floodplains. The number of people exposed to contamination sourced from long-term discharge of mining waste into rivers is almost 50 times greater than the number directly affected by tailings dam failures.</p