Agricultural Drought Assessment: Operational Approaches in India with Special Emphasis on 2012 View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014-10-18

AUTHORS

S. S. Ray , M. V. R. Sesha Sai , N. Chattopadhyay

ABSTRACT

Drought is a condition of moisture deficit sufficient to have an adverse effect on vegetation, animals and human being over a sizable area. In the past, India has experienced 24 large scale droughts in 1891, 1896, 1899, 1905, 1911, 1915, 1918, 1920, 1941, 1951, 1965, 1966, 1972, 1974, 1979, 1982, 1986, 1987, 1988, 1999, 2000, 2002, 2009 and 2012 with increasing frequencies during the periods 1891–1920, 1965–1990 and 1999–2012. During 1900–2012, 14 droughts have occurred, with 1,061 million people affected and 2,441 million dollar economic loss (Source: EMDAT). Drought can have economic, environmental and social impacts. Droughts are very different from the more attention grabbing hazards such as tsunamis and earthquakes in a variety of significant ways. It differs from other disasters, in following aspects (DAC 2009): More... »

PAGES

349-364

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-10217-7_24

DOI

http://dx.doi.org/10.1007/978-3-319-10217-7_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030424496


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/2008/21", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "History and Archaeology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Historical Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Mahalanobis National Crop Forecast Centre, DAC, MoA, Pusa Campus, New Delhi, India", 
          "id": "http://www.grid.ac/institutes/grid.467892.6", 
          "name": [
            "Mahalanobis National Crop Forecast Centre, DAC, MoA, Pusa Campus, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ray", 
        "givenName": "S. S.", 
        "id": "sg:person.012122701245.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012122701245.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Remote Sensing Centre (ISRO), Balanagar, Hyderabad, India", 
          "id": "http://www.grid.ac/institutes/grid.506044.3", 
          "name": [
            "National Remote Sensing Centre (ISRO), Balanagar, Hyderabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sesha Sai", 
        "givenName": "M. V. R.", 
        "id": "sg:person.07741670052.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07741670052.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Meteorology Division, India Meteorological Department, Shivajinagar, Pune, India", 
          "id": "http://www.grid.ac/institutes/grid.466772.6", 
          "name": [
            "Agricultural Meteorology Division, India Meteorological Department, Shivajinagar, Pune, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chattopadhyay", 
        "givenName": "N.", 
        "id": "sg:person.014171723724.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014171723724.50"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2014-10-18", 
    "datePublishedReg": "2014-10-18", 
    "description": "Drought is a condition of moisture deficit sufficient to have an adverse effect on vegetation, animals and human being over a sizable area. In the past, India has experienced 24 large scale droughts in 1891, 1896, 1899, 1905, 1911, 1915, 1918, 1920, 1941, 1951, 1965, 1966, 1972, 1974, 1979, 1982, 1986, 1987, 1988, 1999, 2000, 2002, 2009 and 2012 with increasing frequencies during the periods 1891\u20131920, 1965\u20131990 and 1999\u20132012. During 1900\u20132012, 14 droughts have occurred, with 1,061 million people affected and 2,441 million dollar economic loss (Source: EMDAT). Drought can have economic, environmental and social impacts. Droughts are very different from the more attention grabbing hazards such as tsunamis and earthquakes in a variety of significant ways. It differs from other disasters, in following aspects (DAC 2009):", 
    "editor": [
      {
        "familyName": "Ray", 
        "givenName": "Kamaljit", 
        "type": "Person"
      }, 
      {
        "familyName": "Mohapatra", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "familyName": "Bandyopadhyay", 
        "givenName": "B.K.", 
        "type": "Person"
      }, 
      {
        "familyName": "Rathore", 
        "givenName": "L.S.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-10217-7_24", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-10216-0", 
        "978-3-319-10217-7"
      ], 
      "name": "High-Impact Weather Events over the SAARC Region", 
      "type": "Book"
    }, 
    "keywords": [
      "sizable area", 
      "significant way", 
      "human beings", 
      "India", 
      "past", 
      "social impact", 
      "people", 
      "drought", 
      "being", 
      "tsunami", 
      "way", 
      "disasters", 
      "more attention", 
      "attention", 
      "emphasis", 
      "vegetation", 
      "aspects", 
      "special emphasis", 
      "earthquakes", 
      "operational approach", 
      "moisture deficit", 
      "impact", 
      "area", 
      "variety", 
      "approach", 
      "hazards", 
      "animals", 
      "conditions", 
      "assessment", 
      "loss", 
      "economic losses", 
      "deficits", 
      "effect", 
      "large scale drought", 
      "frequency", 
      "agricultural drought assessment", 
      "drought assessment", 
      "adverse effects", 
      "dollar economic losses", 
      "scale droughts"
    ], 
    "name": "Agricultural Drought Assessment: Operational Approaches in India with Special Emphasis on 2012", 
    "pagination": "349-364", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030424496"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-10217-7_24"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-10217-7_24", 
      "https://app.dimensions.ai/details/publication/pub.1030424496"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_419.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-10217-7_24"
  }
]
 

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.10.1007/978-3-319-10217-7_24'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10217-7_24'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10217-7_24'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10217-7_24'


 

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

135 TRIPLES      23 PREDICATES      65 URIs      58 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-10217-7_24 schema:about anzsrc-for:21
2 anzsrc-for:2103
3 schema:author Ne3de16951ed740eabf07257037aa1275
4 schema:datePublished 2014-10-18
5 schema:datePublishedReg 2014-10-18
6 schema:description Drought is a condition of moisture deficit sufficient to have an adverse effect on vegetation, animals and human being over a sizable area. In the past, India has experienced 24 large scale droughts in 1891, 1896, 1899, 1905, 1911, 1915, 1918, 1920, 1941, 1951, 1965, 1966, 1972, 1974, 1979, 1982, 1986, 1987, 1988, 1999, 2000, 2002, 2009 and 2012 with increasing frequencies during the periods 1891–1920, 1965–1990 and 1999–2012. During 1900–2012, 14 droughts have occurred, with 1,061 million people affected and 2,441 million dollar economic loss (Source: EMDAT). Drought can have economic, environmental and social impacts. Droughts are very different from the more attention grabbing hazards such as tsunamis and earthquakes in a variety of significant ways. It differs from other disasters, in following aspects (DAC 2009):
7 schema:editor Nd814e314488542d39f28f95008b03ab1
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N0d35031edd204502a46d1c492dbaaa38
12 schema:keywords India
13 adverse effects
14 agricultural drought assessment
15 animals
16 approach
17 area
18 aspects
19 assessment
20 attention
21 being
22 conditions
23 deficits
24 disasters
25 dollar economic losses
26 drought
27 drought assessment
28 earthquakes
29 economic losses
30 effect
31 emphasis
32 frequency
33 hazards
34 human beings
35 impact
36 large scale drought
37 loss
38 moisture deficit
39 more attention
40 operational approach
41 past
42 people
43 scale droughts
44 significant way
45 sizable area
46 social impact
47 special emphasis
48 tsunami
49 variety
50 vegetation
51 way
52 schema:name Agricultural Drought Assessment: Operational Approaches in India with Special Emphasis on 2012
53 schema:pagination 349-364
54 schema:productId N84be100a165c4558852d418c4e496ec0
55 N878ef1615e7e43c5b727cfeee41cd254
56 schema:publisher N60a84344ceed4f2a83f26fba67d5c19e
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030424496
58 https://doi.org/10.1007/978-3-319-10217-7_24
59 schema:sdDatePublished 2022-01-01T19:23
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N8294a43caeaa48fb92e0fc6bd6ae3b8d
62 schema:url https://doi.org/10.1007/978-3-319-10217-7_24
63 sgo:license sg:explorer/license/
64 sgo:sdDataset chapters
65 rdf:type schema:Chapter
66 N0d35031edd204502a46d1c492dbaaa38 schema:isbn 978-3-319-10216-0
67 978-3-319-10217-7
68 schema:name High-Impact Weather Events over the SAARC Region
69 rdf:type schema:Book
70 N1e40ffc4545341aa806e39d1abb69e64 rdf:first sg:person.07741670052.86
71 rdf:rest Nd15e00b8ea9743889af5882f9434158e
72 N25e6fb4976d14805b95744348121f65b schema:familyName Mohapatra
73 schema:givenName M.
74 rdf:type schema:Person
75 N45306a3a09dd4a5ea6d4e667b44a8381 rdf:first Nea221f7f34e14094bc6b96140081ffff
76 rdf:rest rdf:nil
77 N49a0199aaa3346a2894945e73e65ee8b schema:familyName Ray
78 schema:givenName Kamaljit
79 rdf:type schema:Person
80 N60a84344ceed4f2a83f26fba67d5c19e schema:name Springer Nature
81 rdf:type schema:Organisation
82 N7aaa4dbfe6f04988acc0e16621b46d7a rdf:first N25e6fb4976d14805b95744348121f65b
83 rdf:rest Na6dc77d4094149ff8273227113050a79
84 N8294a43caeaa48fb92e0fc6bd6ae3b8d schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N84be100a165c4558852d418c4e496ec0 schema:name doi
87 schema:value 10.1007/978-3-319-10217-7_24
88 rdf:type schema:PropertyValue
89 N878ef1615e7e43c5b727cfeee41cd254 schema:name dimensions_id
90 schema:value pub.1030424496
91 rdf:type schema:PropertyValue
92 N8a838f2c07364646af041b4524a98384 schema:familyName Bandyopadhyay
93 schema:givenName B.K.
94 rdf:type schema:Person
95 Na6dc77d4094149ff8273227113050a79 rdf:first N8a838f2c07364646af041b4524a98384
96 rdf:rest N45306a3a09dd4a5ea6d4e667b44a8381
97 Nd15e00b8ea9743889af5882f9434158e rdf:first sg:person.014171723724.50
98 rdf:rest rdf:nil
99 Nd814e314488542d39f28f95008b03ab1 rdf:first N49a0199aaa3346a2894945e73e65ee8b
100 rdf:rest N7aaa4dbfe6f04988acc0e16621b46d7a
101 Ne3de16951ed740eabf07257037aa1275 rdf:first sg:person.012122701245.50
102 rdf:rest N1e40ffc4545341aa806e39d1abb69e64
103 Nea221f7f34e14094bc6b96140081ffff schema:familyName Rathore
104 schema:givenName L.S.
105 rdf:type schema:Person
106 anzsrc-for:21 schema:inDefinedTermSet anzsrc-for:
107 schema:name History and Archaeology
108 rdf:type schema:DefinedTerm
109 anzsrc-for:2103 schema:inDefinedTermSet anzsrc-for:
110 schema:name Historical Studies
111 rdf:type schema:DefinedTerm
112 sg:person.012122701245.50 schema:affiliation grid-institutes:grid.467892.6
113 schema:familyName Ray
114 schema:givenName S. S.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012122701245.50
116 rdf:type schema:Person
117 sg:person.014171723724.50 schema:affiliation grid-institutes:grid.466772.6
118 schema:familyName Chattopadhyay
119 schema:givenName N.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014171723724.50
121 rdf:type schema:Person
122 sg:person.07741670052.86 schema:affiliation grid-institutes:grid.506044.3
123 schema:familyName Sesha Sai
124 schema:givenName M. V. R.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07741670052.86
126 rdf:type schema:Person
127 grid-institutes:grid.466772.6 schema:alternateName Agricultural Meteorology Division, India Meteorological Department, Shivajinagar, Pune, India
128 schema:name Agricultural Meteorology Division, India Meteorological Department, Shivajinagar, Pune, India
129 rdf:type schema:Organization
130 grid-institutes:grid.467892.6 schema:alternateName Mahalanobis National Crop Forecast Centre, DAC, MoA, Pusa Campus, New Delhi, India
131 schema:name Mahalanobis National Crop Forecast Centre, DAC, MoA, Pusa Campus, New Delhi, India
132 rdf:type schema:Organization
133 grid-institutes:grid.506044.3 schema:alternateName National Remote Sensing Centre (ISRO), Balanagar, Hyderabad, India
134 schema:name National Remote Sensing Centre (ISRO), Balanagar, Hyderabad, India
135 rdf:type schema:Organization
 




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


...