Modeling the effects of aerosols to increase rainfall in regions with shortage View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-03-31

AUTHORS

J. B. Shukla, Shyam Sundar, A. K. Misra, Ram Naresh

ABSTRACT

It is well known that the emissions of hot gases from various power stations and other industrial sources in the regional atmosphere cause decrease in rainfall around these complexes. To overcome this shortage, one method is to introduce artificially conducive aerosol particles in the atmosphere using aeroplane to increase rainfall. To prove the feasibility of this idea, in this paper, a nonlinear mathematical model is proposed involving five dependent variables, namely, the volume density of water vapour, number densities of cloud droplets and raindrops, and the concentrations of small and large size conducive aerosol particles. It is assumed that two types of aerosol particles are introduced in the regional atmosphere, one of them is of small size CCN type which is conducive to increase cloud droplets from vapour phase, while the other is of large size and is conducive to transform the cloud droplets to raindrops. The model is analyzed using stability theory of differential equations and computer simulation. The model analysis shows that due to the introduction of conducive aerosol particles in the regional atmosphere, the rainfall increases as compared to the case when no aerosols are introduced in the atmosphere of the region under consideration. The computer simulation confirms the analytical results. More... »

PAGES

157-163

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00703-013-0249-5

DOI

http://dx.doi.org/10.1007/s00703-013-0249-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011117158


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/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Center for Modelling, Environment and Development, BIT, BIIFRD, Bhabha Group of Institutions, Kanpur (Rural), 208017, Kanpur, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Center for Modelling, Environment and Development, BIT, BIIFRD, Bhabha Group of Institutions, Kanpur (Rural), 208017, Kanpur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shukla", 
        "givenName": "J. B.", 
        "id": "sg:person.013377603061.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013377603061.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mathematics, P. S. Institute of Technology, 208020, Kanpur, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Mathematics, P. S. Institute of Technology, 208020, Kanpur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sundar", 
        "givenName": "Shyam", 
        "id": "sg:person.013303021036.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013303021036.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mathematics, B. H. U, Varanasi, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Mathematics, B. H. U, Varanasi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Misra", 
        "givenName": "A. K.", 
        "id": "sg:person.012420157467.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420157467.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mathematics, H. B. Technological Institute, Kanpur, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Mathematics, H. B. Technological Institute, Kanpur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naresh", 
        "givenName": "Ram", 
        "id": "sg:person.07354036646.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07354036646.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10666-007-9085-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046118272", 
          "https://doi.org/10.1007/s10666-007-9085-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-03-31", 
    "datePublishedReg": "2013-03-31", 
    "description": "It is well known that the emissions of hot gases from various power stations and other industrial sources in the regional atmosphere cause decrease in rainfall around these complexes. To overcome this shortage, one method is to introduce artificially conducive aerosol particles in the atmosphere using aeroplane to increase rainfall. To prove the feasibility of this idea, in this paper, a nonlinear mathematical model is proposed involving five dependent variables, namely, the volume density of water vapour, number densities of cloud droplets and raindrops, and the concentrations of small and large size conducive aerosol particles. It is assumed that two types of aerosol particles are introduced in the regional atmosphere, one of them is of small size CCN type which is conducive to increase cloud droplets from vapour phase, while the other is of large size and is conducive to transform the cloud droplets to raindrops. The model is analyzed using stability theory of differential equations and computer simulation. The model analysis shows that due to the introduction of conducive aerosol particles in the regional atmosphere, the rainfall increases as compared to the case when no aerosols are introduced in the atmosphere of the region under consideration. The computer simulation confirms the analytical results.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00703-013-0249-5", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1271293", 
        "issn": [
          "0177-7971", 
          "1436-5065"
        ], 
        "name": "Meteorology and Atmospheric Physics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "120"
      }
    ], 
    "keywords": [
      "aerosol particles", 
      "cloud droplets", 
      "regional atmosphere", 
      "effect of aerosols", 
      "nonlinear mathematical model", 
      "rainfall", 
      "water vapor", 
      "industrial sources", 
      "computer simulations", 
      "atmosphere", 
      "differential equations", 
      "aerosols", 
      "stability theory", 
      "raindrops", 
      "mathematical model", 
      "analytical results", 
      "vapor phase", 
      "number density", 
      "region", 
      "stations", 
      "model analysis", 
      "vapor", 
      "gases", 
      "simulations", 
      "equations", 
      "particles", 
      "hot gases", 
      "power station", 
      "source", 
      "large size", 
      "causes decrease", 
      "model", 
      "theory", 
      "droplets", 
      "emission", 
      "dependent variable", 
      "concentration", 
      "density", 
      "shortage", 
      "phase", 
      "types", 
      "variables", 
      "decrease", 
      "complexes", 
      "airplane", 
      "idea", 
      "analysis", 
      "consideration", 
      "cases", 
      "results", 
      "volume density", 
      "feasibility", 
      "size", 
      "introduction", 
      "effect", 
      "method", 
      "paper"
    ], 
    "name": "Modeling the effects of aerosols to increase rainfall in regions with shortage", 
    "pagination": "157-163", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011117158"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00703-013-0249-5"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00703-013-0249-5", 
      "https://app.dimensions.ai/details/publication/pub.1011117158"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:31", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_601.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00703-013-0249-5"
  }
]
 

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/s00703-013-0249-5'

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/s00703-013-0249-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00703-013-0249-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00703-013-0249-5'


 

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

145 TRIPLES      21 PREDICATES      82 URIs      73 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00703-013-0249-5 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N913503d6db444a65aa416178db7e2150
4 schema:citation sg:pub.10.1007/s10666-007-9085-7
5 schema:datePublished 2013-03-31
6 schema:datePublishedReg 2013-03-31
7 schema:description It is well known that the emissions of hot gases from various power stations and other industrial sources in the regional atmosphere cause decrease in rainfall around these complexes. To overcome this shortage, one method is to introduce artificially conducive aerosol particles in the atmosphere using aeroplane to increase rainfall. To prove the feasibility of this idea, in this paper, a nonlinear mathematical model is proposed involving five dependent variables, namely, the volume density of water vapour, number densities of cloud droplets and raindrops, and the concentrations of small and large size conducive aerosol particles. It is assumed that two types of aerosol particles are introduced in the regional atmosphere, one of them is of small size CCN type which is conducive to increase cloud droplets from vapour phase, while the other is of large size and is conducive to transform the cloud droplets to raindrops. The model is analyzed using stability theory of differential equations and computer simulation. The model analysis shows that due to the introduction of conducive aerosol particles in the regional atmosphere, the rainfall increases as compared to the case when no aerosols are introduced in the atmosphere of the region under consideration. The computer simulation confirms the analytical results.
8 schema:genre article
9 schema:isAccessibleForFree false
10 schema:isPartOf N0573be7fc7b349b58bff866ef693dcf5
11 N9bd43bd71401469b82408a8e534b246d
12 sg:journal.1271293
13 schema:keywords aerosol particles
14 aerosols
15 airplane
16 analysis
17 analytical results
18 atmosphere
19 cases
20 causes decrease
21 cloud droplets
22 complexes
23 computer simulations
24 concentration
25 consideration
26 decrease
27 density
28 dependent variable
29 differential equations
30 droplets
31 effect
32 effect of aerosols
33 emission
34 equations
35 feasibility
36 gases
37 hot gases
38 idea
39 industrial sources
40 introduction
41 large size
42 mathematical model
43 method
44 model
45 model analysis
46 nonlinear mathematical model
47 number density
48 paper
49 particles
50 phase
51 power station
52 raindrops
53 rainfall
54 region
55 regional atmosphere
56 results
57 shortage
58 simulations
59 size
60 source
61 stability theory
62 stations
63 theory
64 types
65 vapor
66 vapor phase
67 variables
68 volume density
69 water vapor
70 schema:name Modeling the effects of aerosols to increase rainfall in regions with shortage
71 schema:pagination 157-163
72 schema:productId Nac9174e8d16548bdb88eee271220b02e
73 Nb0ab47245cc5427b91f028db3c963789
74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011117158
75 https://doi.org/10.1007/s00703-013-0249-5
76 schema:sdDatePublished 2022-12-01T06:31
77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
78 schema:sdPublisher Nf41da172fef94687900121fac1eb3600
79 schema:url https://doi.org/10.1007/s00703-013-0249-5
80 sgo:license sg:explorer/license/
81 sgo:sdDataset articles
82 rdf:type schema:ScholarlyArticle
83 N0573be7fc7b349b58bff866ef693dcf5 schema:volumeNumber 120
84 rdf:type schema:PublicationVolume
85 N130bbae11334435e956db605b5763ecb rdf:first sg:person.012420157467.23
86 rdf:rest N8730aeb3e9494c93bd1089e79c4f1bd8
87 N5806df7d25bf47d3a173dad776a219a5 rdf:first sg:person.013303021036.36
88 rdf:rest N130bbae11334435e956db605b5763ecb
89 N8730aeb3e9494c93bd1089e79c4f1bd8 rdf:first sg:person.07354036646.17
90 rdf:rest rdf:nil
91 N913503d6db444a65aa416178db7e2150 rdf:first sg:person.013377603061.88
92 rdf:rest N5806df7d25bf47d3a173dad776a219a5
93 N9bd43bd71401469b82408a8e534b246d schema:issueNumber 3-4
94 rdf:type schema:PublicationIssue
95 Nac9174e8d16548bdb88eee271220b02e schema:name dimensions_id
96 schema:value pub.1011117158
97 rdf:type schema:PropertyValue
98 Nb0ab47245cc5427b91f028db3c963789 schema:name doi
99 schema:value 10.1007/s00703-013-0249-5
100 rdf:type schema:PropertyValue
101 Nf41da172fef94687900121fac1eb3600 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
104 schema:name Earth Sciences
105 rdf:type schema:DefinedTerm
106 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
107 schema:name Atmospheric Sciences
108 rdf:type schema:DefinedTerm
109 sg:journal.1271293 schema:issn 0177-7971
110 1436-5065
111 schema:name Meteorology and Atmospheric Physics
112 schema:publisher Springer Nature
113 rdf:type schema:Periodical
114 sg:person.012420157467.23 schema:affiliation grid-institutes:None
115 schema:familyName Misra
116 schema:givenName A. K.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420157467.23
118 rdf:type schema:Person
119 sg:person.013303021036.36 schema:affiliation grid-institutes:None
120 schema:familyName Sundar
121 schema:givenName Shyam
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013303021036.36
123 rdf:type schema:Person
124 sg:person.013377603061.88 schema:affiliation grid-institutes:None
125 schema:familyName Shukla
126 schema:givenName J. B.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013377603061.88
128 rdf:type schema:Person
129 sg:person.07354036646.17 schema:affiliation grid-institutes:None
130 schema:familyName Naresh
131 schema:givenName Ram
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07354036646.17
133 rdf:type schema:Person
134 sg:pub.10.1007/s10666-007-9085-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046118272
135 https://doi.org/10.1007/s10666-007-9085-7
136 rdf:type schema:CreativeWork
137 grid-institutes:None schema:alternateName Center for Modelling, Environment and Development, BIT, BIIFRD, Bhabha Group of Institutions, Kanpur (Rural), 208017, Kanpur, India
138 Department of Mathematics, B. H. U, Varanasi, India
139 Department of Mathematics, H. B. Technological Institute, Kanpur, India
140 Department of Mathematics, P. S. Institute of Technology, 208020, Kanpur, India
141 schema:name Center for Modelling, Environment and Development, BIT, BIIFRD, Bhabha Group of Institutions, Kanpur (Rural), 208017, Kanpur, India
142 Department of Mathematics, B. H. U, Varanasi, India
143 Department of Mathematics, H. B. Technological Institute, Kanpur, India
144 Department of Mathematics, P. S. Institute of Technology, 208020, Kanpur, India
145 rdf:type schema:Organization
 




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


...