Quantitative analysis of the methane gas emissions from municipal solid waste in India View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Chander Kumar Singh, Anand Kumar, Soumendu Shekhar Roy

ABSTRACT

Increased emissions of greenhouse gases have altered the global ambient temperature and adversely affected global climatic conditions. The municipal solid waste (MSW) generated by households is considered the third largest anthropogenic source of methane (CH4) emissions, constituting 11% of all global CH4 emissions. The current study derived total MSW CH4 emission estimates using the IPCC default method (DM), modified triangular method (MTM) and first order decay method (FOD). The estimated CH4 emission was higher for the DM than the other methods, and was comparable to estimates from other studies. This study observed that the net annual emission of CH4 from landfills in India increased from 404 Gg in 1999-2000 to 990 Gg and 1084 Gg in 2011 and 2015, respectively. We also found that CH4 emissions were highly correlated (R2 = 0.8) with the gross state domestic product (GSDP) of states and the gross domestic product (GDP) of the country, which is an indicator of human well-being. The MSW management policy of India needs to be reviewed in a current policy context, as the management and efficient utilization of MSW technologies might help increase the use of CH4 as an energy source and thereby improve its sustainable and cost-effective management. More... »

PAGES

2913

Journal

TITLE

Scientific Reports

ISSUE

1

VOLUME

8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-21326-9

DOI

http://dx.doi.org/10.1038/s41598-018-21326-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100901860

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29440727


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/2008/0907", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Energy and Resources Institute", 
          "id": "https://www.grid.ac/institutes/grid.419867.5", 
          "name": [
            "Department of Energy and Environment, TERI School of Advanced Studies, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singh", 
        "givenName": "Chander Kumar", 
        "id": "sg:person.07670170233.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07670170233.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Energy and Resources Institute", 
          "id": "https://www.grid.ac/institutes/grid.419867.5", 
          "name": [
            "Department of Energy and Environment, TERI School of Advanced Studies, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumar", 
        "givenName": "Anand", 
        "id": "sg:person.011321747144.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011321747144.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Energy and Resources Institute", 
          "id": "https://www.grid.ac/institutes/grid.419867.5", 
          "name": [
            "Department of Energy and Environment, TERI School of Advanced Studies, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roy", 
        "givenName": "Soumendu Shekhar", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/476157a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001851913", 
          "https://doi.org/10.1038/476157a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2006.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002027255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10393-007-0141-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002133987", 
          "https://doi.org/10.1007/s10393-007-0141-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10393-007-0141-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002133987", 
          "https://doi.org/10.1007/s10393-007-0141-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-8809(94)00578-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005635415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2005.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007937418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jes.2015.01.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011728472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jd092id02p02181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015492803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2007.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017298259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2004.05.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020776163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(99)01764-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020811344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-1481(00)00019-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022073222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seta.2013.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025702249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03326132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026808004", 
          "https://doi.org/10.1007/bf03326132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2007.10.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027457321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00380768.1990.10416797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027567996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2011.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031151516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate2804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033730142", 
          "https://doi.org/10.1038/nclimate2804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037411737", 
          "https://doi.org/10.1038/nature05132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037411737", 
          "https://doi.org/10.1038/nature05132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037411737", 
          "https://doi.org/10.1038/nature05132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/bg-14-163-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037796860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/1051-0761(1997)007[1299:ciaaot]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038436818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo1955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040170298", 
          "https://doi.org/10.1038/ngeo1955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2007.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042524066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1941805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046383860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5547/issn0195-6574-ej-volsi2006-nosi3-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072974624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rser.2017.04.082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085157204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rser.2017.04.082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085157204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scs.2017.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085421559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/technologies5040062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091912845"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Increased emissions of greenhouse gases have altered the global ambient temperature and adversely affected global climatic conditions. The municipal solid waste (MSW) generated by households is considered the third largest anthropogenic source of methane (CH4) emissions, constituting 11% of all global CH4 emissions. The current study derived total MSW CH4 emission estimates using the IPCC default method (DM), modified triangular method (MTM) and first order decay method (FOD). The estimated CH4 emission was higher for the DM than the other methods, and was comparable to estimates from other studies. This study observed that the net annual emission of CH4 from landfills in India increased from 404 Gg in 1999-2000 to 990 Gg and 1084 Gg in 2011 and 2015, respectively. We also found that CH4 emissions were highly correlated (R2\u2009=\u20090.8) with the gross state domestic product (GSDP) of states and the gross domestic product (GDP) of the country, which is an indicator of human well-being. The MSW management policy of India needs to be reviewed in a current policy context, as the management and efficient utilization of MSW technologies might help increase the use of CH4 as an energy source and thereby improve its sustainable and cost-effective management.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-21326-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Quantitative analysis of the methane gas emissions from municipal solid waste in India", 
    "pagination": "2913", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "eb782c7f9768569a8c67b5c1e313f9b51e63f1939117eac9bf85006e3d8331ca"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29440727"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-21326-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100901860"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-21326-9", 
      "https://app.dimensions.ai/details/publication/pub.1100901860"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:40", 
    "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/v90/0000000001_0000000264/records_8690_00000552.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-21326-9"
  }
]
 

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.10.1038/s41598-018-21326-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-21326-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-21326-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-21326-9'


 

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

168 TRIPLES      21 PREDICATES      56 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-21326-9 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N0b986371c1a148258cc9bcf3604f2a89
4 schema:citation sg:pub.10.1007/bf03326132
5 sg:pub.10.1007/s10393-007-0141-1
6 sg:pub.10.1038/476157a
7 sg:pub.10.1038/nature05132
8 sg:pub.10.1038/nclimate2804
9 sg:pub.10.1038/ngeo1955
10 https://doi.org/10.1016/0167-8809(94)00578-3
11 https://doi.org/10.1016/j.atmosenv.2004.05.052
12 https://doi.org/10.1016/j.atmosenv.2011.09.015
13 https://doi.org/10.1016/j.chemosphere.2007.10.024
14 https://doi.org/10.1016/j.jes.2015.01.034
15 https://doi.org/10.1016/j.rser.2017.04.082
16 https://doi.org/10.1016/j.scitotenv.2006.04.014
17 https://doi.org/10.1016/j.scs.2017.05.008
18 https://doi.org/10.1016/j.seta.2013.11.004
19 https://doi.org/10.1016/j.wasman.2005.09.006
20 https://doi.org/10.1016/j.wasman.2007.02.008
21 https://doi.org/10.1016/j.wasman.2007.05.017
22 https://doi.org/10.1016/s0169-5347(99)01764-4
23 https://doi.org/10.1016/s0960-1481(00)00019-7
24 https://doi.org/10.1029/jd092id02p02181
25 https://doi.org/10.1080/00380768.1990.10416797
26 https://doi.org/10.1890/1051-0761(1997)007[1299:ciaaot]2.0.co;2
27 https://doi.org/10.2307/1941805
28 https://doi.org/10.3390/technologies5040062
29 https://doi.org/10.5194/bg-14-163-2017
30 https://doi.org/10.5547/issn0195-6574-ej-volsi2006-nosi3-2
31 schema:datePublished 2018-12
32 schema:datePublishedReg 2018-12-01
33 schema:description Increased emissions of greenhouse gases have altered the global ambient temperature and adversely affected global climatic conditions. The municipal solid waste (MSW) generated by households is considered the third largest anthropogenic source of methane (CH<sub>4</sub>) emissions, constituting 11% of all global CH<sub>4</sub> emissions. The current study derived total MSW CH<sub>4</sub> emission estimates using the IPCC default method (DM), modified triangular method (MTM) and first order decay method (FOD). The estimated CH<sub>4</sub> emission was higher for the DM than the other methods, and was comparable to estimates from other studies. This study observed that the net annual emission of CH<sub>4</sub> from landfills in India increased from 404 Gg in 1999-2000 to 990 Gg and 1084 Gg in 2011 and 2015, respectively. We also found that CH<sub>4</sub> emissions were highly correlated (R<sup>2</sup> = 0.8) with the gross state domestic product (GSDP) of states and the gross domestic product (GDP) of the country, which is an indicator of human well-being. The MSW management policy of India needs to be reviewed in a current policy context, as the management and efficient utilization of MSW technologies might help increase the use of CH<sub>4</sub> as an energy source and thereby improve its sustainable and cost-effective management.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N4a654e6011064d2b898a28656edaf40b
38 Nf4f89d9de7cd47e6abc1117c65eeb307
39 sg:journal.1045337
40 schema:name Quantitative analysis of the methane gas emissions from municipal solid waste in India
41 schema:pagination 2913
42 schema:productId N257494ca18c449b28a085ec8fda2911d
43 N73904d12b32542868b95f354ed420221
44 N87ba796cd5094746b892e60e8be84854
45 Nb173f06284cc476097bf7266e55e4a90
46 Ndf5c1116dfe94c4d9fd3e7717d8aeecf
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100901860
48 https://doi.org/10.1038/s41598-018-21326-9
49 schema:sdDatePublished 2019-04-10T22:40
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N92d423d9fed04f6fbc333c482cb5a746
52 schema:url https://www.nature.com/articles/s41598-018-21326-9
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N0b986371c1a148258cc9bcf3604f2a89 rdf:first sg:person.07670170233.50
57 rdf:rest Nd4ab48a9fb2846c68dc9aeeb17a228f2
58 N257494ca18c449b28a085ec8fda2911d schema:name doi
59 schema:value 10.1038/s41598-018-21326-9
60 rdf:type schema:PropertyValue
61 N4a654e6011064d2b898a28656edaf40b schema:volumeNumber 8
62 rdf:type schema:PublicationVolume
63 N73904d12b32542868b95f354ed420221 schema:name readcube_id
64 schema:value eb782c7f9768569a8c67b5c1e313f9b51e63f1939117eac9bf85006e3d8331ca
65 rdf:type schema:PropertyValue
66 N816c5dd72f8946a8bcd2ea839cf39fd0 schema:affiliation https://www.grid.ac/institutes/grid.419867.5
67 schema:familyName Roy
68 schema:givenName Soumendu Shekhar
69 rdf:type schema:Person
70 N87ba796cd5094746b892e60e8be84854 schema:name nlm_unique_id
71 schema:value 101563288
72 rdf:type schema:PropertyValue
73 N92d423d9fed04f6fbc333c482cb5a746 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 Nb173f06284cc476097bf7266e55e4a90 schema:name dimensions_id
76 schema:value pub.1100901860
77 rdf:type schema:PropertyValue
78 Nd4ab48a9fb2846c68dc9aeeb17a228f2 rdf:first sg:person.011321747144.39
79 rdf:rest Nf9a9fcc4e7e74e49a071f38d290c10b4
80 Ndf5c1116dfe94c4d9fd3e7717d8aeecf schema:name pubmed_id
81 schema:value 29440727
82 rdf:type schema:PropertyValue
83 Nf4f89d9de7cd47e6abc1117c65eeb307 schema:issueNumber 1
84 rdf:type schema:PublicationIssue
85 Nf9a9fcc4e7e74e49a071f38d290c10b4 rdf:first N816c5dd72f8946a8bcd2ea839cf39fd0
86 rdf:rest rdf:nil
87 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
88 schema:name Engineering
89 rdf:type schema:DefinedTerm
90 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
91 schema:name Environmental Engineering
92 rdf:type schema:DefinedTerm
93 sg:journal.1045337 schema:issn 2045-2322
94 schema:name Scientific Reports
95 rdf:type schema:Periodical
96 sg:person.011321747144.39 schema:affiliation https://www.grid.ac/institutes/grid.419867.5
97 schema:familyName Kumar
98 schema:givenName Anand
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011321747144.39
100 rdf:type schema:Person
101 sg:person.07670170233.50 schema:affiliation https://www.grid.ac/institutes/grid.419867.5
102 schema:familyName Singh
103 schema:givenName Chander Kumar
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07670170233.50
105 rdf:type schema:Person
106 sg:pub.10.1007/bf03326132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026808004
107 https://doi.org/10.1007/bf03326132
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/s10393-007-0141-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002133987
110 https://doi.org/10.1007/s10393-007-0141-1
111 rdf:type schema:CreativeWork
112 sg:pub.10.1038/476157a schema:sameAs https://app.dimensions.ai/details/publication/pub.1001851913
113 https://doi.org/10.1038/476157a
114 rdf:type schema:CreativeWork
115 sg:pub.10.1038/nature05132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037411737
116 https://doi.org/10.1038/nature05132
117 rdf:type schema:CreativeWork
118 sg:pub.10.1038/nclimate2804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033730142
119 https://doi.org/10.1038/nclimate2804
120 rdf:type schema:CreativeWork
121 sg:pub.10.1038/ngeo1955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040170298
122 https://doi.org/10.1038/ngeo1955
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/0167-8809(94)00578-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005635415
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.atmosenv.2004.05.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020776163
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.atmosenv.2011.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031151516
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.chemosphere.2007.10.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027457321
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.jes.2015.01.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011728472
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.rser.2017.04.082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085157204
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.scitotenv.2006.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002027255
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.scs.2017.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085421559
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.seta.2013.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025702249
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.wasman.2005.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007937418
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.wasman.2007.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017298259
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.wasman.2007.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042524066
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s0169-5347(99)01764-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020811344
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0960-1481(00)00019-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022073222
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1029/jd092id02p02181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015492803
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1080/00380768.1990.10416797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027567996
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1890/1051-0761(1997)007[1299:ciaaot]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038436818
157 rdf:type schema:CreativeWork
158 https://doi.org/10.2307/1941805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046383860
159 rdf:type schema:CreativeWork
160 https://doi.org/10.3390/technologies5040062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091912845
161 rdf:type schema:CreativeWork
162 https://doi.org/10.5194/bg-14-163-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037796860
163 rdf:type schema:CreativeWork
164 https://doi.org/10.5547/issn0195-6574-ej-volsi2006-nosi3-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072974624
165 rdf:type schema:CreativeWork
166 https://www.grid.ac/institutes/grid.419867.5 schema:alternateName Energy and Resources Institute
167 schema:name Department of Energy and Environment, TERI School of Advanced Studies, New Delhi, India
168 rdf:type schema:Organization
 




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


...