Markov chain analysis of the rainfall patterns of five geographical locations in the south eastern coast of Ghana View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-08-18

AUTHORS

Meshach Tettey, Francis T. Oduro, David Adedia, Daniel A. Abaye

ABSTRACT

This study develops an objective rainfall pattern assessment through Markov chain analysis using daily rainfall data from 1980 to 2010, a period of 30 years, for five cities or towns along the south eastern coastal belt of Ghana; Cape Coast, Accra, Akuse, Akatsi and Keta. Transition matrices were computed for each town and each month using the conditional probability of rain or no rain on a particular day given that it rained or did not rain on the previous day. The steady state transition matrices and the steady state probability vectors were also computed for each town and each month. It was found that, the rainy or dry season pattern observed using the monthly steady state rainfall vectors tended to reflect the monthly rainfall time series trajectory. Overall, the probability of rain on any day was low to average: Keta 0.227, Akuse 0.382, Accra 0.467, Cape Coast, 0.50 and Akatsi 0.50. In particular, for Accra, the rainy season was observed to be in the months of May to June and September to October. We also determined that the probability of rainfall generally tended to increase from east to west along the south eastern coast of Ghana. More... »

PAGES

6

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40322-017-0042-6

DOI

http://dx.doi.org/10.1186/s40322-017-0042-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091237835


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/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Current address: Department of Mathematics, E. P. College of Education, PO Box AM 12, Amedzofe, VR, Ghana", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana", 
            "Current address: Department of Mathematics, E. P. College of Education, PO Box AM 12, Amedzofe, VR, Ghana"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tettey", 
        "givenName": "Meshach", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana", 
          "id": "http://www.grid.ac/institutes/grid.9829.a", 
          "name": [
            "Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oduro", 
        "givenName": "Francis T.", 
        "id": "sg:person.014242753101.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014242753101.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Basic and Biomedical Sciences, University of Health and Allied Sciences, PMB, 31, Ho, VR, Ghana", 
          "id": "http://www.grid.ac/institutes/grid.449729.5", 
          "name": [
            "School of Basic and Biomedical Sciences, University of Health and Allied Sciences, PMB, 31, Ho, VR, Ghana"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Adedia", 
        "givenName": "David", 
        "id": "sg:person.011615446565.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011615446565.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Basic and Biomedical Sciences, University of Health and Allied Sciences, PMB, 31, Ho, VR, Ghana", 
          "id": "http://www.grid.ac/institutes/grid.449729.5", 
          "name": [
            "School of Basic and Biomedical Sciences, University of Health and Allied Sciences, PMB, 31, Ho, VR, Ghana"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abaye", 
        "givenName": "Daniel A.", 
        "id": "sg:person.014005770165.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005770165.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nclimate2743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034203996", 
          "https://doi.org/10.1038/nclimate2743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00209669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026761024", 
          "https://doi.org/10.1007/bf00209669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11269-006-9129-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006142024", 
          "https://doi.org/10.1007/s11269-006-9129-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate2492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050620869", 
          "https://doi.org/10.1038/nclimate2492"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-08-18", 
    "datePublishedReg": "2017-08-18", 
    "description": "This study develops an objective rainfall pattern assessment through Markov chain analysis using daily rainfall data from 1980 to 2010, a period of 30\u00a0years, for five cities or towns along the south eastern coastal belt of Ghana; Cape Coast, Accra, Akuse, Akatsi and Keta. Transition matrices were computed for each town and each month using the conditional probability of rain or no rain on a particular day given that it rained or did not rain on the previous day. The steady state transition matrices and the steady state probability vectors were also computed for each town and each month. It was found that, the rainy or dry season pattern observed using the monthly steady state rainfall vectors tended to reflect the monthly rainfall time series trajectory. Overall, the probability of rain on any day was low to average: Keta 0.227, Akuse 0.382, Accra 0.467, Cape Coast, 0.50 and Akatsi 0.50. In particular, for Accra, the rainy season was observed to be in the months of May to June and September to October. We also determined that the probability of rainfall generally tended to increase from east to west along the south eastern coast of Ghana.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s40322-017-0042-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136356", 
        "issn": [
          "2194-6434"
        ], 
        "name": "Earth Perspectives", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "keywords": [
      "south eastern coast", 
      "eastern coast", 
      "monthly rainfall time series", 
      "daily rainfall data", 
      "probability of rainfall", 
      "eastern coastal belt", 
      "rainfall time series", 
      "Cape Coast", 
      "dry season pattern", 
      "probability of rain", 
      "rainfall data", 
      "rainfall patterns", 
      "coastal belt", 
      "coast", 
      "months of May", 
      "season patterns", 
      "rainy season", 
      "rain", 
      "time series", 
      "steady state probability vector", 
      "Markov chain analysis", 
      "belt", 
      "rainfall", 
      "Akatsi", 
      "west", 
      "East", 
      "geographical location", 
      "particular day", 
      "town", 
      "previous day", 
      "Akuse", 
      "season", 
      "Ghana", 
      "patterns", 
      "location", 
      "conditional probability", 
      "state probability vector", 
      "period", 
      "keta", 
      "data", 
      "pattern assessment", 
      "chain analysis", 
      "series", 
      "city", 
      "analysis", 
      "years", 
      "Accra", 
      "days", 
      "assessment", 
      "probability", 
      "months", 
      "study", 
      "matrix", 
      "vector", 
      "transition matrix", 
      "state transition matrix", 
      "probability vector", 
      "objective rainfall pattern assessment", 
      "rainfall pattern assessment", 
      "south eastern coastal belt", 
      "steady state transition matrices", 
      "monthly steady state rainfall vectors", 
      "steady state rainfall vectors", 
      "state rainfall vectors", 
      "rainfall vectors"
    ], 
    "name": "Markov chain analysis of the rainfall patterns of five geographical locations in the south eastern coast of Ghana", 
    "pagination": "6", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091237835"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40322-017-0042-6"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40322-017-0042-6", 
      "https://app.dimensions.ai/details/publication/pub.1091237835"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:43", 
    "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/article/article_746.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s40322-017-0042-6"
  }
]
 

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.10.1186/s40322-017-0042-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40322-017-0042-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40322-017-0042-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40322-017-0042-6'


 

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

165 TRIPLES      22 PREDICATES      94 URIs      82 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40322-017-0042-6 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N2be4fdbd833c44929fd8b40bce6c8aaf
4 schema:citation sg:pub.10.1007/bf00209669
5 sg:pub.10.1007/s11269-006-9129-9
6 sg:pub.10.1038/nclimate2492
7 sg:pub.10.1038/nclimate2743
8 schema:datePublished 2017-08-18
9 schema:datePublishedReg 2017-08-18
10 schema:description This study develops an objective rainfall pattern assessment through Markov chain analysis using daily rainfall data from 1980 to 2010, a period of 30 years, for five cities or towns along the south eastern coastal belt of Ghana; Cape Coast, Accra, Akuse, Akatsi and Keta. Transition matrices were computed for each town and each month using the conditional probability of rain or no rain on a particular day given that it rained or did not rain on the previous day. The steady state transition matrices and the steady state probability vectors were also computed for each town and each month. It was found that, the rainy or dry season pattern observed using the monthly steady state rainfall vectors tended to reflect the monthly rainfall time series trajectory. Overall, the probability of rain on any day was low to average: Keta 0.227, Akuse 0.382, Accra 0.467, Cape Coast, 0.50 and Akatsi 0.50. In particular, for Accra, the rainy season was observed to be in the months of May to June and September to October. We also determined that the probability of rainfall generally tended to increase from east to west along the south eastern coast of Ghana.
11 schema:genre article
12 schema:inLanguage en
13 schema:isAccessibleForFree true
14 schema:isPartOf N3fc59bd28bab48e799c303ddeb421acc
15 N8f7b5a6e49f14787a76ead30bf020433
16 sg:journal.1136356
17 schema:keywords Accra
18 Akatsi
19 Akuse
20 Cape Coast
21 East
22 Ghana
23 Markov chain analysis
24 analysis
25 assessment
26 belt
27 chain analysis
28 city
29 coast
30 coastal belt
31 conditional probability
32 daily rainfall data
33 data
34 days
35 dry season pattern
36 eastern coast
37 eastern coastal belt
38 geographical location
39 keta
40 location
41 matrix
42 monthly rainfall time series
43 monthly steady state rainfall vectors
44 months
45 months of May
46 objective rainfall pattern assessment
47 particular day
48 pattern assessment
49 patterns
50 period
51 previous day
52 probability
53 probability of rain
54 probability of rainfall
55 probability vector
56 rain
57 rainfall
58 rainfall data
59 rainfall pattern assessment
60 rainfall patterns
61 rainfall time series
62 rainfall vectors
63 rainy season
64 season
65 season patterns
66 series
67 south eastern coast
68 south eastern coastal belt
69 state probability vector
70 state rainfall vectors
71 state transition matrix
72 steady state probability vector
73 steady state rainfall vectors
74 steady state transition matrices
75 study
76 time series
77 town
78 transition matrix
79 vector
80 west
81 years
82 schema:name Markov chain analysis of the rainfall patterns of five geographical locations in the south eastern coast of Ghana
83 schema:pagination 6
84 schema:productId N7c2c63da4f134b31aaf5ae6a052a1ce8
85 Nc567ba0001da4714be23b6e5c37face1
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091237835
87 https://doi.org/10.1186/s40322-017-0042-6
88 schema:sdDatePublished 2022-01-01T18:43
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher N017c45624b654c0bbe901ed2582f0591
91 schema:url https://doi.org/10.1186/s40322-017-0042-6
92 sgo:license sg:explorer/license/
93 sgo:sdDataset articles
94 rdf:type schema:ScholarlyArticle
95 N017c45624b654c0bbe901ed2582f0591 schema:name Springer Nature - SN SciGraph project
96 rdf:type schema:Organization
97 N2be4fdbd833c44929fd8b40bce6c8aaf rdf:first N8340c3e6b9ce41a3a241586e41bd00ef
98 rdf:rest Ne282da5d4d40420d859289e5c9de3a25
99 N3fc59bd28bab48e799c303ddeb421acc schema:issueNumber 1
100 rdf:type schema:PublicationIssue
101 N5c4f4400c9b44ae586c716c86045157b rdf:first sg:person.011615446565.61
102 rdf:rest N6482cf31e9ed4d8e82be20196cdd61bf
103 N6482cf31e9ed4d8e82be20196cdd61bf rdf:first sg:person.014005770165.01
104 rdf:rest rdf:nil
105 N7c2c63da4f134b31aaf5ae6a052a1ce8 schema:name doi
106 schema:value 10.1186/s40322-017-0042-6
107 rdf:type schema:PropertyValue
108 N8340c3e6b9ce41a3a241586e41bd00ef schema:affiliation grid-institutes:None
109 schema:familyName Tettey
110 schema:givenName Meshach
111 rdf:type schema:Person
112 N8f7b5a6e49f14787a76ead30bf020433 schema:volumeNumber 4
113 rdf:type schema:PublicationVolume
114 Nc567ba0001da4714be23b6e5c37face1 schema:name dimensions_id
115 schema:value pub.1091237835
116 rdf:type schema:PropertyValue
117 Ne282da5d4d40420d859289e5c9de3a25 rdf:first sg:person.014242753101.63
118 rdf:rest N5c4f4400c9b44ae586c716c86045157b
119 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
120 schema:name Earth Sciences
121 rdf:type schema:DefinedTerm
122 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
123 schema:name Physical Geography and Environmental Geoscience
124 rdf:type schema:DefinedTerm
125 sg:journal.1136356 schema:issn 2194-6434
126 schema:name Earth Perspectives
127 schema:publisher Springer Nature
128 rdf:type schema:Periodical
129 sg:person.011615446565.61 schema:affiliation grid-institutes:grid.449729.5
130 schema:familyName Adedia
131 schema:givenName David
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011615446565.61
133 rdf:type schema:Person
134 sg:person.014005770165.01 schema:affiliation grid-institutes:grid.449729.5
135 schema:familyName Abaye
136 schema:givenName Daniel A.
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005770165.01
138 rdf:type schema:Person
139 sg:person.014242753101.63 schema:affiliation grid-institutes:grid.9829.a
140 schema:familyName Oduro
141 schema:givenName Francis T.
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014242753101.63
143 rdf:type schema:Person
144 sg:pub.10.1007/bf00209669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026761024
145 https://doi.org/10.1007/bf00209669
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s11269-006-9129-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006142024
148 https://doi.org/10.1007/s11269-006-9129-9
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/nclimate2492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050620869
151 https://doi.org/10.1038/nclimate2492
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/nclimate2743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034203996
154 https://doi.org/10.1038/nclimate2743
155 rdf:type schema:CreativeWork
156 grid-institutes:None schema:alternateName Current address: Department of Mathematics, E. P. College of Education, PO Box AM 12, Amedzofe, VR, Ghana
157 schema:name Current address: Department of Mathematics, E. P. College of Education, PO Box AM 12, Amedzofe, VR, Ghana
158 Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
159 rdf:type schema:Organization
160 grid-institutes:grid.449729.5 schema:alternateName School of Basic and Biomedical Sciences, University of Health and Allied Sciences, PMB, 31, Ho, VR, Ghana
161 schema:name School of Basic and Biomedical Sciences, University of Health and Allied Sciences, PMB, 31, Ho, VR, Ghana
162 rdf:type schema:Organization
163 grid-institutes:grid.9829.a schema:alternateName Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
164 schema:name Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
165 rdf:type schema:Organization
 




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


...