Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-05-06

AUTHORS

Yonas Gebresilasie Hagos, Tesfa Gebrie Andualem, Mesenbet Yibeltal, Mequanent Abathun Mengie

ABSTRACT

Floods have destroyed people’s lives as well as social and environmental assets. Flooding is becoming more severe and frequent as a result of climate change and an increase in human-induced land-use changes, which puts pressure on river channels and causes changes in river morphology. The study was aimed to assess flood danger and map inundation areas in Ethiopia’s Teji watershed, which is prone to flooding. The basic flood-producing factors in this study were derived from soil, slope, elevation, drainage-density and land use land cover data. The opinions of public institutions and expert decisions were gathered to determine the weight of the factors in the analytic hierarchy process. The collected data were processed using the ArcGIS environment and the analytic hierarchy method to produce a flood danger map. According to the findings of this study, approximately 43.28 and 13.09% of the area were vulnerable to high and very high flood risk zones, respectively. As a result, flood prediction, early warning and management practices could be implemented on a regular and sustainable basis. More... »

PAGES

148

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13201-022-01674-8

DOI

http://dx.doi.org/10.1007/s13201-022-01674-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1147680537


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": "Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia", 
          "id": "http://www.grid.ac/institutes/grid.510430.3", 
          "name": [
            "Irrigation, Drainage and Flood Control Sector, Ethiopian Construction Design and Supervision Works Corporation, Addis Ababa, Ethiopia", 
            "Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hagos", 
        "givenName": "Yonas Gebresilasie", 
        "id": "sg:person.011142303666.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011142303666.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UniSA-STEM, University of South Australia, Adelaide, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1026.5", 
          "name": [
            "Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia", 
            "UniSA-STEM, University of South Australia, Adelaide, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andualem", 
        "givenName": "Tesfa Gebrie", 
        "id": "sg:person.011113517657.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011113517657.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Environmental and Energy Engineering, Yonsei University, 26493, Wonju, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Faculty of Civil and Water Resources Engineering, Bahir Dar Institute of Technology, Bahir Dar, Ethiopia", 
            "Department of Environmental and Energy Engineering, Yonsei University, 26493, Wonju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yibeltal", 
        "givenName": "Mesenbet", 
        "id": "sg:person.011726275254.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011726275254.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Irrigation, Drainage and Flood Control Sector, Ethiopian Construction Design and Supervision Works Corporation, Addis Ababa, Ethiopia", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Irrigation, Drainage and Flood Control Sector, Ethiopian Construction Design and Supervision Works Corporation, Addis Ababa, Ethiopia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mengie", 
        "givenName": "Mequanent Abathun", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s40677-016-0044-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019378016", 
          "https://doi.org/10.1186/s40677-016-0044-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11269-011-9866-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005890873", 
          "https://doi.org/10.1007/s11269-011-9866-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12518-020-00315-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1127453985", 
          "https://doi.org/10.1007/s12518-020-00315-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-7952-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108495234", 
          "https://doi.org/10.1007/978-94-015-7952-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12517-021-06971-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1136888111", 
          "https://doi.org/10.1007/s12517-021-06971-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-05-06", 
    "datePublishedReg": "2022-05-06", 
    "description": "Floods have destroyed people\u2019s lives as well as social and environmental assets. Flooding is becoming more severe and frequent as a result of climate change and an increase in human-induced land-use changes, which puts pressure on river channels and causes changes in river morphology. The study was aimed to assess flood danger and map inundation areas in Ethiopia\u2019s Teji watershed, which is prone to flooding. The basic flood-producing factors in this study were derived from soil, slope, elevation, drainage-density and land use land cover data. The opinions of public institutions and expert decisions were gathered to determine the weight of the factors in the analytic hierarchy process. The collected data were processed using the ArcGIS environment and the analytic hierarchy method to produce a flood danger map. According to the findings of this study, approximately 43.28 and 13.09% of the area were vulnerable to high and very high flood risk zones, respectively. As a result, flood prediction, early warning and management practices could be implemented on a regular and sustainable basis.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13201-022-01674-8", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1051421", 
        "issn": [
          "2190-5487", 
          "2190-5495"
        ], 
        "name": "Applied Water Science", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "keywords": [
      "Upper Awash River Basin", 
      "human-induced land use change", 
      "flood hazard assessment", 
      "Awash River Basin", 
      "land use land cover data", 
      "high flood risk zones", 
      "flood risk zones", 
      "land use change", 
      "land cover data", 
      "flood danger", 
      "flood prediction", 
      "river channel", 
      "inundation area", 
      "River Basin", 
      "river morphology", 
      "hazard assessment", 
      "climate change", 
      "ArcGIS environment", 
      "cover data", 
      "risk zones", 
      "early warning", 
      "flooding", 
      "danger maps", 
      "multi-criteria decision analysis", 
      "analytic hierarchy method", 
      "environmental assets", 
      "basin", 
      "management practices", 
      "sustainable basis", 
      "floods", 
      "zone", 
      "area", 
      "slope", 
      "decision analysis", 
      "GIS", 
      "changes", 
      "hierarchy method", 
      "soil", 
      "analytic hierarchy process", 
      "hierarchy process", 
      "warning", 
      "elevation", 
      "data", 
      "maps", 
      "mapping", 
      "Ethiopia", 
      "environment", 
      "prediction", 
      "channels", 
      "study", 
      "process", 
      "results", 
      "assessment", 
      "increase", 
      "pressure", 
      "morphology", 
      "factors", 
      "analysis", 
      "basis", 
      "expert decisions", 
      "danger", 
      "practice", 
      "decisions", 
      "people's lives", 
      "method", 
      "life", 
      "assets", 
      "public institutions", 
      "findings", 
      "weight", 
      "opinion", 
      "institutions"
    ], 
    "name": "Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia", 
    "pagination": "148", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1147680537"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13201-022-01674-8"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13201-022-01674-8", 
      "https://app.dimensions.ai/details/publication/pub.1147680537"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_938.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13201-022-01674-8"
  }
]
 

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/s13201-022-01674-8'

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/s13201-022-01674-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13201-022-01674-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13201-022-01674-8'


 

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

182 TRIPLES      22 PREDICATES      102 URIs      89 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13201-022-01674-8 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author Nc73a9c714f6c48d793caf4d78f505d31
4 schema:citation sg:pub.10.1007/978-94-015-7952-0
5 sg:pub.10.1007/s11269-011-9866-2
6 sg:pub.10.1007/s12517-021-06971-1
7 sg:pub.10.1007/s12518-020-00315-6
8 sg:pub.10.1186/s40677-016-0044-y
9 schema:datePublished 2022-05-06
10 schema:datePublishedReg 2022-05-06
11 schema:description Floods have destroyed people’s lives as well as social and environmental assets. Flooding is becoming more severe and frequent as a result of climate change and an increase in human-induced land-use changes, which puts pressure on river channels and causes changes in river morphology. The study was aimed to assess flood danger and map inundation areas in Ethiopia’s Teji watershed, which is prone to flooding. The basic flood-producing factors in this study were derived from soil, slope, elevation, drainage-density and land use land cover data. The opinions of public institutions and expert decisions were gathered to determine the weight of the factors in the analytic hierarchy process. The collected data were processed using the ArcGIS environment and the analytic hierarchy method to produce a flood danger map. According to the findings of this study, approximately 43.28 and 13.09% of the area were vulnerable to high and very high flood risk zones, respectively. As a result, flood prediction, early warning and management practices could be implemented on a regular and sustainable basis.
12 schema:genre article
13 schema:inLanguage en
14 schema:isAccessibleForFree true
15 schema:isPartOf N36f90458dde54552bbed8aaf84b33cc3
16 N45b63d3f7e1a4e21ae71f770e8366d5e
17 sg:journal.1051421
18 schema:keywords ArcGIS environment
19 Awash River Basin
20 Ethiopia
21 GIS
22 River Basin
23 Upper Awash River Basin
24 analysis
25 analytic hierarchy method
26 analytic hierarchy process
27 area
28 assessment
29 assets
30 basin
31 basis
32 changes
33 channels
34 climate change
35 cover data
36 danger
37 danger maps
38 data
39 decision analysis
40 decisions
41 early warning
42 elevation
43 environment
44 environmental assets
45 expert decisions
46 factors
47 findings
48 flood danger
49 flood hazard assessment
50 flood prediction
51 flood risk zones
52 flooding
53 floods
54 hazard assessment
55 hierarchy method
56 hierarchy process
57 high flood risk zones
58 human-induced land use change
59 increase
60 institutions
61 inundation area
62 land cover data
63 land use change
64 land use land cover data
65 life
66 management practices
67 mapping
68 maps
69 method
70 morphology
71 multi-criteria decision analysis
72 opinion
73 people's lives
74 practice
75 prediction
76 pressure
77 process
78 public institutions
79 results
80 risk zones
81 river channel
82 river morphology
83 slope
84 soil
85 study
86 sustainable basis
87 warning
88 weight
89 zone
90 schema:name Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia
91 schema:pagination 148
92 schema:productId N177e460dabe543eebe9796e0f7e693a7
93 N259924f13e6c465ebe4280f68ea2e6bb
94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147680537
95 https://doi.org/10.1007/s13201-022-01674-8
96 schema:sdDatePublished 2022-06-01T22:23
97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
98 schema:sdPublisher Nb5419ba9ca6f46e9b9d35f083d662d92
99 schema:url https://doi.org/10.1007/s13201-022-01674-8
100 sgo:license sg:explorer/license/
101 sgo:sdDataset articles
102 rdf:type schema:ScholarlyArticle
103 N177e460dabe543eebe9796e0f7e693a7 schema:name doi
104 schema:value 10.1007/s13201-022-01674-8
105 rdf:type schema:PropertyValue
106 N259924f13e6c465ebe4280f68ea2e6bb schema:name dimensions_id
107 schema:value pub.1147680537
108 rdf:type schema:PropertyValue
109 N36f90458dde54552bbed8aaf84b33cc3 schema:issueNumber 7
110 rdf:type schema:PublicationIssue
111 N389acbb968ba482ea5783368ec29c835 rdf:first sg:person.011113517657.73
112 rdf:rest Nd0f25fb349414191b283715f54274ac1
113 N45b63d3f7e1a4e21ae71f770e8366d5e schema:volumeNumber 12
114 rdf:type schema:PublicationVolume
115 Nad425fa8ba70400d9f25476afc6452b3 rdf:first Nce846b00d07646689b9dd8e7ceb9f7d1
116 rdf:rest rdf:nil
117 Nb5419ba9ca6f46e9b9d35f083d662d92 schema:name Springer Nature - SN SciGraph project
118 rdf:type schema:Organization
119 Nc73a9c714f6c48d793caf4d78f505d31 rdf:first sg:person.011142303666.88
120 rdf:rest N389acbb968ba482ea5783368ec29c835
121 Nce846b00d07646689b9dd8e7ceb9f7d1 schema:affiliation grid-institutes:None
122 schema:familyName Mengie
123 schema:givenName Mequanent Abathun
124 rdf:type schema:Person
125 Nd0f25fb349414191b283715f54274ac1 rdf:first sg:person.011726275254.63
126 rdf:rest Nad425fa8ba70400d9f25476afc6452b3
127 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
128 schema:name Earth Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
131 schema:name Physical Geography and Environmental Geoscience
132 rdf:type schema:DefinedTerm
133 sg:journal.1051421 schema:issn 2190-5487
134 2190-5495
135 schema:name Applied Water Science
136 schema:publisher Springer Nature
137 rdf:type schema:Periodical
138 sg:person.011113517657.73 schema:affiliation grid-institutes:grid.1026.5
139 schema:familyName Andualem
140 schema:givenName Tesfa Gebrie
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011113517657.73
142 rdf:type schema:Person
143 sg:person.011142303666.88 schema:affiliation grid-institutes:grid.510430.3
144 schema:familyName Hagos
145 schema:givenName Yonas Gebresilasie
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011142303666.88
147 rdf:type schema:Person
148 sg:person.011726275254.63 schema:affiliation grid-institutes:grid.15444.30
149 schema:familyName Yibeltal
150 schema:givenName Mesenbet
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011726275254.63
152 rdf:type schema:Person
153 sg:pub.10.1007/978-94-015-7952-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108495234
154 https://doi.org/10.1007/978-94-015-7952-0
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s11269-011-9866-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005890873
157 https://doi.org/10.1007/s11269-011-9866-2
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s12517-021-06971-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136888111
160 https://doi.org/10.1007/s12517-021-06971-1
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/s12518-020-00315-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127453985
163 https://doi.org/10.1007/s12518-020-00315-6
164 rdf:type schema:CreativeWork
165 sg:pub.10.1186/s40677-016-0044-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1019378016
166 https://doi.org/10.1186/s40677-016-0044-y
167 rdf:type schema:CreativeWork
168 grid-institutes:None schema:alternateName Irrigation, Drainage and Flood Control Sector, Ethiopian Construction Design and Supervision Works Corporation, Addis Ababa, Ethiopia
169 schema:name Irrigation, Drainage and Flood Control Sector, Ethiopian Construction Design and Supervision Works Corporation, Addis Ababa, Ethiopia
170 rdf:type schema:Organization
171 grid-institutes:grid.1026.5 schema:alternateName UniSA-STEM, University of South Australia, Adelaide, Australia
172 schema:name Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia
173 UniSA-STEM, University of South Australia, Adelaide, Australia
174 rdf:type schema:Organization
175 grid-institutes:grid.15444.30 schema:alternateName Department of Environmental and Energy Engineering, Yonsei University, 26493, Wonju, Republic of Korea
176 schema:name Department of Environmental and Energy Engineering, Yonsei University, 26493, Wonju, Republic of Korea
177 Faculty of Civil and Water Resources Engineering, Bahir Dar Institute of Technology, Bahir Dar, Ethiopia
178 rdf:type schema:Organization
179 grid-institutes:grid.510430.3 schema:alternateName Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia
180 schema:name Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia
181 Irrigation, Drainage and Flood Control Sector, Ethiopian Construction Design and Supervision Works Corporation, Addis Ababa, Ethiopia
182 rdf:type schema:Organization
 




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


...