Literature DB >> 22788537

How many mountains can we mine? Assessing the regional degradation of Central Appalachian rivers by surface coal mining.

Emily S Bernhardt1, Brian D Lutz, Ryan S King, John P Fay, Catherine E Carter, Ashley M Helton, David Campagna, John Amos.   

Abstract

Surface coal mining is the dominant form of land cover change in Central Appalachia, yet the extent to which surface coal mine runoff is polluting regional rivers is currently unknown. We mapped surface mining from 1976 to 2005 for a 19,581 km(2) area of southern West Virginia and linked these maps with water quality and biological data for 223 streams. The extent of surface mining within catchments is highly correlated with the ionic strength and sulfate concentrations of receiving streams. Generalized additive models were used to estimate the amount of watershed mining, stream ionic strength, or sulfate concentrations beyond which biological impairment (based on state biocriteria) is likely. We find this threshold is reached once surface coal mines occupy >5.4% of their contributing watershed area, ionic strength exceeds 308 μS cm(-1), or sulfate concentrations exceed 50 mg L(-1). Significant losses of many intolerant macroinvertebrate taxa occur when as little as 2.2% of contributing catchments are mined. As of 2005, 5% of the land area of southern WV was converted to surface mines, 6% of regional streams were buried in valley fills, and 22% of the regional stream network length drained watersheds with >5.4% of their surface area converted to mines.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22788537     DOI: 10.1021/es301144q

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  22 in total

1.  Identifying Catchment-Scale Predictors of Coal Mining Impacts on New Zealand Stream Communities.

Authors:  Joanne E Clapcott; Eric O Goodwin; Jon S Harding
Journal:  Environ Manage       Date:  2015-10-14       Impact factor: 3.266

2.  Site-specific water quality guidelines: 1. Derivation approaches based on physicochemical, ecotoxicological and ecological data.

Authors:  R A van Dam; C L Humphrey; A J Harford; A Sinclair; D R Jones; S Davies; A W Storey
Journal:  Environ Sci Pollut Res Int       Date:  2013-07-12       Impact factor: 4.223

3.  Application of a benthic observed/expected-type model for assessing Central Appalachian streams influenced by regional stressors in West Virginia and Kentucky.

Authors:  Gregory J Pond; Sheila H North
Journal:  Environ Monit Assess       Date:  2013-06-04       Impact factor: 2.513

4.  Bacterial community responses to a gradient of alkaline mountaintop mine drainage in Central Appalachian streams.

Authors:  Raven L Bier; Kristofor A Voss; Emily S Bernhardt
Journal:  ISME J       Date:  2014-12-12       Impact factor: 10.302

5.  Variation in stream network relationships and geospatial predictions of watershed conductivity.

Authors:  Michael G McManus; Ellen D'Amico; Elizabeth M Smith; Robyn Polinsky; Jerry Ackerman; Kip Tyler
Journal:  Freshw Sci       Date:  2020-12-01       Impact factor: 2.034

6.  Mountaintop Removal Coal Mining and Emergent Cases of Psychological Disorder in Kentucky.

Authors:  Will H Canu; John Paul Jameson; Ellen H Steele; Michael Denslow
Journal:  Community Ment Health J       Date:  2017-02-17

7.  Personal exposure to polycyclic aromatic hydrocarbons in Appalachian mining communities.

Authors:  Michael Hendryx; Shaorui Wang; Kevin A Romanak; Amina Salamova; Marta Venier
Journal:  Environ Pollut       Date:  2019-10-31       Impact factor: 8.071

8.  Long-term impacts on macroinvertebrates downstream of reclaimed mountaintop mining valley fills in Central Appalachia.

Authors:  Gregory J Pond; Margaret E Passmore; Nancy D Pointon; John K Felbinger; Craig A Walker; Kelly J G Krock; Jennifer B Fulton; Whitney L Nash
Journal:  Environ Manage       Date:  2014-07-03       Impact factor: 3.266

9.  Macroinvertebrate assemblages in agricultural, mining, and urban tropical streams: implications for conservation and management.

Authors:  Tongayi Mwedzi; Taurai Bere; Tinotenda Mangadze
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-27       Impact factor: 4.223

10.  Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis.

Authors:  Amal Agarwal; Lingzhou Xue
Journal:  Technometrics       Date:  2019-07-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.