Regional estimates of acid mine drainage impact on streams in the mid-atlantic and Southeastern United States View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1990-03

AUTHORS

Alan T. Herlihy, Philip R. Kaufmann, Mark E. Mitch, Douglas D. Brown

ABSTRACT

The U.S. Environmental Protection Agency conducted the National Stream Survey (NSS) to provide unbiased estimates of the numbers and distribution of acidic and low acid neutralizing capacity streams in the Mid-Atlantic and Southeastern United States. The NSS employed a probability sample of 500 stream reaches to represent a target population of 64,300 stream reaches in the study area. All NSS samples were screened for acid mine drainage (AMD) influences, and population estimates of the regional extent of AMD impacts were made. Almost 10% of the stream reaches in the Northern Appalachians subregion were acidic during spring baseflow due to AMD. In the entire NSS, an estimated 4590 km (± 1670) of streams (2% of the total NSS length) were acidic due to AMD and another 5780 km (± 2090) of streams were strongly impacted, but not acidic. In subregions of the NSS with observed mine drainage effects, roughly the same number of streams were acidic during spring baseflow due to AMD as due to acidic deposition. The population estimates of mine drainage impact made in the NSS were similar to estimates made in previous surveys that attempted to census all of the streams in coal producing areas. These results demonstrate that a statistically based stream survey is a useful tool for evaluating regional water quality. More... »

PAGES

91-107

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00284786

DOI

http://dx.doi.org/10.1007/bf00284786

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023379911


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "c/o U.S. EPA Environmental Research Lab., Utah State University, 200 SW 35th St., 97333, Corvallis, OR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herlihy", 
        "givenName": "Alan T.", 
        "id": "sg:person.01364570433.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364570433.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "c/o U.S. EPA Environmental Research Lab., Utah State University, 200 SW 35th St., 97333, Corvallis, OR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaufmann", 
        "givenName": "Philip R.", 
        "id": "sg:person.015245054117.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015245054117.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "c/o U.S. EPA Environmental Research Lab., Utah State University, 200 SW 35th St., 97333, Corvallis, OR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitch", 
        "givenName": "Mark E.", 
        "id": "sg:person.010375470051.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010375470051.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "NSI Technology Services Corp., 200 SW 35th St., 97333, Corvallis, OR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brown", 
        "givenName": "Douglas D.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/284161a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016984464", 
          "https://doi.org/10.1038/284161a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/wr024i006p00871", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017693596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-8306.1983.tb01400.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028969541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/wr023i005p00827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034076737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02419419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035964596", 
          "https://doi.org/10.1007/bf02419419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02419419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035964596", 
          "https://doi.org/10.1007/bf02419419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.239.4836.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062535178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/jeq1984.00472425001300040022x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069001620"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1990-03", 
    "datePublishedReg": "1990-03-01", 
    "description": "The U.S. Environmental Protection Agency conducted the National Stream Survey (NSS) to provide unbiased estimates of the numbers and distribution of acidic and low acid neutralizing capacity streams in the Mid-Atlantic and Southeastern United States. The NSS employed a probability sample of 500 stream reaches to represent a target population of 64,300 stream reaches in the study area. All NSS samples were screened for acid mine drainage (AMD) influences, and population estimates of the regional extent of AMD impacts were made. Almost 10% of the stream reaches in the Northern Appalachians subregion were acidic during spring baseflow due to AMD. In the entire NSS, an estimated 4590 km (\u00b1 1670) of streams (2% of the total NSS length) were acidic due to AMD and another 5780 km (\u00b1 2090) of streams were strongly impacted, but not acidic. In subregions of the NSS with observed mine drainage effects, roughly the same number of streams were acidic during spring baseflow due to AMD as due to acidic deposition. The population estimates of mine drainage impact made in the NSS were similar to estimates made in previous surveys that attempted to census all of the streams in coal producing areas. These results demonstrate that a statistically based stream survey is a useful tool for evaluating regional water quality.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00284786", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1320065", 
        "issn": [
          "0049-6979", 
          "1573-2932"
        ], 
        "name": "Water, Air, & Soil Pollution", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "50"
      }
    ], 
    "name": "Regional estimates of acid mine drainage impact on streams in the mid-atlantic and Southeastern United States", 
    "pagination": "91-107", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00284786"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6f63889123c9d85269788a9806e0cde3d8e65ff7019fc9dc777fba174f6f3df0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023379911"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00284786", 
      "https://app.dimensions.ai/details/publication/pub.1023379911"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:52", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000374_0000000374/records_119746_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2FBF00284786"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/bf00284786'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf00284786'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00284786'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00284786'


 

This table displays all metadata directly associated to this object as RDF triples.

109 TRIPLES      21 PREDICATES      34 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00284786 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author Na729f555dcda4896bbd6c89eba6fa362
4 schema:citation sg:pub.10.1007/bf02419419
5 sg:pub.10.1038/284161a0
6 https://doi.org/10.1029/wr023i005p00827
7 https://doi.org/10.1029/wr024i006p00871
8 https://doi.org/10.1111/j.1467-8306.1983.tb01400.x
9 https://doi.org/10.1126/science.239.4836.149
10 https://doi.org/10.2134/jeq1984.00472425001300040022x
11 schema:datePublished 1990-03
12 schema:datePublishedReg 1990-03-01
13 schema:description The U.S. Environmental Protection Agency conducted the National Stream Survey (NSS) to provide unbiased estimates of the numbers and distribution of acidic and low acid neutralizing capacity streams in the Mid-Atlantic and Southeastern United States. The NSS employed a probability sample of 500 stream reaches to represent a target population of 64,300 stream reaches in the study area. All NSS samples were screened for acid mine drainage (AMD) influences, and population estimates of the regional extent of AMD impacts were made. Almost 10% of the stream reaches in the Northern Appalachians subregion were acidic during spring baseflow due to AMD. In the entire NSS, an estimated 4590 km (± 1670) of streams (2% of the total NSS length) were acidic due to AMD and another 5780 km (± 2090) of streams were strongly impacted, but not acidic. In subregions of the NSS with observed mine drainage effects, roughly the same number of streams were acidic during spring baseflow due to AMD as due to acidic deposition. The population estimates of mine drainage impact made in the NSS were similar to estimates made in previous surveys that attempted to census all of the streams in coal producing areas. These results demonstrate that a statistically based stream survey is a useful tool for evaluating regional water quality.
14 schema:genre research_article
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf N6756b02a500d42168b19da9db7ccc4ad
18 N87ecaab545ef426a804094956d1bcd98
19 sg:journal.1320065
20 schema:name Regional estimates of acid mine drainage impact on streams in the mid-atlantic and Southeastern United States
21 schema:pagination 91-107
22 schema:productId N266deac526024c9689a8dc00cebca9a8
23 N931421978c1846cc8838736ff0b22a29
24 Nded4f7dcb5fd48f0a29e2ab809d9bdda
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023379911
26 https://doi.org/10.1007/bf00284786
27 schema:sdDatePublished 2019-04-15T08:52
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher Nb8db92c4c20f4567b48fff545c42db04
30 schema:url http://link.springer.com/10.1007%2FBF00284786
31 sgo:license sg:explorer/license/
32 sgo:sdDataset articles
33 rdf:type schema:ScholarlyArticle
34 N266deac526024c9689a8dc00cebca9a8 schema:name dimensions_id
35 schema:value pub.1023379911
36 rdf:type schema:PropertyValue
37 N2b8b2511dbee48a68df36c13800bda73 rdf:first Nc331ca88a59148ee924b3d4baed5175d
38 rdf:rest rdf:nil
39 N2ec36a7e81ae400d84d4b2f2e5dc7e60 schema:name c/o U.S. EPA Environmental Research Lab., Utah State University, 200 SW 35th St., 97333, Corvallis, OR, USA
40 rdf:type schema:Organization
41 N3f34c89bb0054973a3644c1cca8c8d77 schema:name c/o U.S. EPA Environmental Research Lab., Utah State University, 200 SW 35th St., 97333, Corvallis, OR, USA
42 rdf:type schema:Organization
43 N54200aca5a3e45029ebb6da164434eb5 rdf:first sg:person.010375470051.92
44 rdf:rest N2b8b2511dbee48a68df36c13800bda73
45 N6756b02a500d42168b19da9db7ccc4ad schema:issueNumber 1-2
46 rdf:type schema:PublicationIssue
47 N87ecaab545ef426a804094956d1bcd98 schema:volumeNumber 50
48 rdf:type schema:PublicationVolume
49 N931421978c1846cc8838736ff0b22a29 schema:name doi
50 schema:value 10.1007/bf00284786
51 rdf:type schema:PropertyValue
52 N9f3a55e2426041febb13ae05b66f84d4 schema:name NSI Technology Services Corp., 200 SW 35th St., 97333, Corvallis, OR, USA
53 rdf:type schema:Organization
54 Na729f555dcda4896bbd6c89eba6fa362 rdf:first sg:person.01364570433.81
55 rdf:rest Nc009b37297cc4386922f1c4742ea6849
56 Nb8db92c4c20f4567b48fff545c42db04 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 Nc009b37297cc4386922f1c4742ea6849 rdf:first sg:person.015245054117.88
59 rdf:rest N54200aca5a3e45029ebb6da164434eb5
60 Nc331ca88a59148ee924b3d4baed5175d schema:affiliation N9f3a55e2426041febb13ae05b66f84d4
61 schema:familyName Brown
62 schema:givenName Douglas D.
63 rdf:type schema:Person
64 Nded4f7dcb5fd48f0a29e2ab809d9bdda schema:name readcube_id
65 schema:value 6f63889123c9d85269788a9806e0cde3d8e65ff7019fc9dc777fba174f6f3df0
66 rdf:type schema:PropertyValue
67 Nf3cf3bfc922c42fe9632842fcd262877 schema:name c/o U.S. EPA Environmental Research Lab., Utah State University, 200 SW 35th St., 97333, Corvallis, OR, USA
68 rdf:type schema:Organization
69 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
70 schema:name Earth Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
73 schema:name Physical Geography and Environmental Geoscience
74 rdf:type schema:DefinedTerm
75 sg:journal.1320065 schema:issn 0049-6979
76 1573-2932
77 schema:name Water, Air, & Soil Pollution
78 rdf:type schema:Periodical
79 sg:person.010375470051.92 schema:affiliation Nf3cf3bfc922c42fe9632842fcd262877
80 schema:familyName Mitch
81 schema:givenName Mark E.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010375470051.92
83 rdf:type schema:Person
84 sg:person.01364570433.81 schema:affiliation N3f34c89bb0054973a3644c1cca8c8d77
85 schema:familyName Herlihy
86 schema:givenName Alan T.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364570433.81
88 rdf:type schema:Person
89 sg:person.015245054117.88 schema:affiliation N2ec36a7e81ae400d84d4b2f2e5dc7e60
90 schema:familyName Kaufmann
91 schema:givenName Philip R.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015245054117.88
93 rdf:type schema:Person
94 sg:pub.10.1007/bf02419419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035964596
95 https://doi.org/10.1007/bf02419419
96 rdf:type schema:CreativeWork
97 sg:pub.10.1038/284161a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016984464
98 https://doi.org/10.1038/284161a0
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1029/wr023i005p00827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034076737
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1029/wr024i006p00871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017693596
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1111/j.1467-8306.1983.tb01400.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028969541
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1126/science.239.4836.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062535178
107 rdf:type schema:CreativeWork
108 https://doi.org/10.2134/jeq1984.00472425001300040022x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069001620
109 rdf:type schema:CreativeWork
 




Preview window. Press ESC to close (or click here)


...