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  "identifier": 
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  "identifier": 
            
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posure-Maps-for-Buzi-Pungwe-Save-(BuPuSa)-Transboundary-River-Basins",
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posure-Maps-for-Buzi-Pungwe-Save-(BuPuSa)-Transboundary-River-Basins",
            
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  "license_title": "Creative Commons Non-Commercial (Any)",
            
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  "lineage_source": [],
            
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  "maintainer": "Jorgen Van Der Biest",
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  "maintainer": "Jorgen Van Der Biest",
            
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  "modified": "2025-04-15",
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  "modified": "2025-07-29",
            
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  "name": 
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  "name": 
            
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exposure-maps-for-buzi-pungwe-save-bupusa-transboundary-river-basins",
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exposure-maps-for-buzi-pungwe-save-bupusa-transboundary-river-basins",
            
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  "notes": "OpenLISEM is an open-source hydrological model suited for 
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  "notes": "OpenLISEM is an open-source hydrological model suited for 
            
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the simulation of floods, flash floods and erosion events. The 
72
the simulation of floods, flash floods and erosion events. The 
            
73
following sections provide an overview of the results from the 
73
following sections provide an overview of the results from the 
            
74
OpenLISEM model used in the exposure mapping A 30x30m flood map 
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OpenLISEM model used in the exposure mapping A 30x30m flood map 
            
75
(maximum flood height) for the BuPuSa region was developed for several 
75
(maximum flood height) for the BuPuSa region was developed for several 
            
76
points on the intensity-frequency-duration curve. This curve 
76
points on the intensity-frequency-duration curve. This curve 
            
77
represents the extreme value analysis (EVA) for the rainfall across 
77
represents the extreme value analysis (EVA) for the rainfall across 
            
78
the BuPuSa area. Based on 50 years of historic rainfall data from 
78
the BuPuSa area. Based on 50 years of historic rainfall data from 
            
79
TAMSAT the EVA is developed for a 1000 year period. From this 
79
TAMSAT the EVA is developed for a 1000 year period. From this 
            
80
different rainfall intensities area taken which are referred to at the 
80
different rainfall intensities area taken which are referred to at the 
            
81
return period. The statistical possibility of a certain rainfall 
81
return period. The statistical possibility of a certain rainfall 
            
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intensity to happen once in X many years. Flood maps were developed 
82
intensity to happen once in X many years. Flood maps were developed 
            
83
for the following return periods: 1/2, 1/10, 1/50, 1/100 and 1/1000. 
83
for the following return periods: 1/2, 1/10, 1/50, 1/100 and 1/1000. 
            
84
In addition to 5 different return periods, two different scenarios 
84
In addition to 5 different return periods, two different scenarios 
            
85
were modeled. A short high intensity rainfall event that typically 
85
were modeled. A short high intensity rainfall event that typically 
            
86
causes flash floods, and a longer term lower intensity rainfall event 
86
causes flash floods, and a longer term lower intensity rainfall event 
            
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that typically causes fluvial (river) floods. These events were 
87
that typically causes fluvial (river) floods. These events were 
            
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represented by respectively a 6h rainfall event and a 14 day rainfall 
88
represented by respectively a 6h rainfall event and a 14 day rainfall 
            
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event. As a result 10 different flood maps were developed.",
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event. As a result 10 different flood maps were developed.",
            
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  "notes_translated": {
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  "notes_translated": {
            
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    "en": "OpenLISEM is an open-source hydrological model suited for 
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    "en": "OpenLISEM is an open-source hydrological model suited for 
            
92
the simulation of floods, flash floods and erosion events. The 
92
the simulation of floods, flash floods and erosion events. The 
            
93
following sections provide an overview of the results from the 
93
following sections provide an overview of the results from the 
            
94
OpenLISEM model used in the exposure mapping A 30x30m flood map 
94
OpenLISEM model used in the exposure mapping A 30x30m flood map 
            
95
(maximum flood height) for the BuPuSa region was developed for several 
95
(maximum flood height) for the BuPuSa region was developed for several 
            
96
points on the intensity-frequency-duration curve. This curve 
96
points on the intensity-frequency-duration curve. This curve 
            
97
represents the extreme value analysis (EVA) for the rainfall across 
97
represents the extreme value analysis (EVA) for the rainfall across 
            
98
the BuPuSa area. Based on 50 years of historic rainfall data from 
98
the BuPuSa area. Based on 50 years of historic rainfall data from 
            
99
TAMSAT the EVA is developed for a 1000 year period. From this 
99
TAMSAT the EVA is developed for a 1000 year period. From this 
            
100
different rainfall intensities area taken which are referred to at the 
100
different rainfall intensities area taken which are referred to at the 
            
101
return period. The statistical possibility of a certain rainfall 
101
return period. The statistical possibility of a certain rainfall 
            
102
intensity to happen once in X many years. Flood maps were developed 
102
intensity to happen once in X many years. Flood maps were developed 
            
103
for the following return periods: 1/2, 1/10, 1/50, 1/100 and 1/1000. 
103
for the following return periods: 1/2, 1/10, 1/50, 1/100 and 1/1000. 
            
104
In addition to 5 different return periods, two different scenarios 
104
In addition to 5 different return periods, two different scenarios 
            
105
were modeled. A short high intensity rainfall event that typically 
105
were modeled. A short high intensity rainfall event that typically 
            
106
causes flash floods, and a longer term lower intensity rainfall event 
106
causes flash floods, and a longer term lower intensity rainfall event 
            
107
that typically causes fluvial (river) floods. These events were 
107
that typically causes fluvial (river) floods. These events were 
            
108
represented by respectively a 6h rainfall event and a 14 day rainfall 
108
represented by respectively a 6h rainfall event and a 14 day rainfall 
            
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event. As a result 10 different flood maps were developed.",
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event. As a result 10 different flood maps were developed.",
            
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Programme (IHP), founded in 1975 following the International 
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Programme (IHP), founded in 1975 following the International 
            
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Hydrological Decade (1965-1974), is the only intergovernmental 
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Hydrological Decade (1965-1974), is the only intergovernmental 
            
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cooperation programme of the UN system dedicated to water research and 
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cooperation programme of the UN system dedicated to water research and 
            
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management, and related education and capacity development. It 
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addresses national, regional, and global water challenges, by 
            
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supporting the development of sustainable and resilient societies. 
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supporting the development of sustainable and resilient societies. 
            
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Expanding a holistic understanding of water, improving technical 
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Expanding a holistic understanding of water, improving technical 
            
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capabilities, and enhancing human and institutional capacities are 
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capabilities, and enhancing human and institutional capacities are 
            
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IHP\u2019s main tools. IHP\u2019s work supports sound, evidence-based 
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IHP\u2019s main tools. IHP\u2019s work supports sound, evidence-based 
            
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water governance and decision-making drawing on transdisciplinary 
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water governance and decision-making drawing on transdisciplinary 
            
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      "id": "52322e2a-8c35-4be3-8232-218e73c93feb",
            
556
      "name": "Pungwe",
572
      "name": "Pungwe",
            
557
      "state": "active",
573
      "state": "active",
            
558
      "vocabulary_id": null
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      "vocabulary_id": null
            
559
    },
575
    },
            
560
    {
576
    {
            
561
      "display_name": "Save",
577
      "display_name": "Save",
            
562
      "id": "67a032c9-d203-45f7-955f-4f80914ecba7",
578
      "id": "67a032c9-d203-45f7-955f-4f80914ecba7",
            
563
      "name": "Save",
579
      "name": "Save",
            
564
      "state": "active",
580
      "state": "active",
            
565
      "vocabulary_id": null
581
      "vocabulary_id": null
            
566
    },
582
    },
            
567
    {
583
    {
            
568
      "display_name": "Transboundary River Basin",
584
      "display_name": "Transboundary River Basin",
            
569
      "id": "ab2ac8a5-5521-462a-baf1-efc5639d496e",
585
      "id": "ab2ac8a5-5521-462a-baf1-efc5639d496e",
            
570
      "name": "Transboundary River Basin",
586
      "name": "Transboundary River Basin",
            
571
      "state": "active",
587
      "state": "active",
            
572
      "vocabulary_id": null
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      "vocabulary_id": null
            
573
    },
589
    },
            
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    {
590
    {
            
575
      "display_name": "Transboundary Water Management",
591
      "display_name": "Transboundary Water Management",
            
576
      "id": "678f64b0-cd08-4abf-a27e-f78d0e4fd8ac",
592
      "id": "678f64b0-cd08-4abf-a27e-f78d0e4fd8ac",
            
577
      "name": "Transboundary Water Management",
593
      "name": "Transboundary Water Management",
            
578
      "state": "active",
594
      "state": "active",
            
579
      "vocabulary_id": null
595
      "vocabulary_id": null
            
580
    },
596
    },
            
581
    {
597
    {
            
582
      "display_name": "Zimbabwe",
598
      "display_name": "Zimbabwe",
            
583
      "id": "db9ca28e-0405-4a93-a231-2ffb70940321",
599
      "id": "db9ca28e-0405-4a93-a231-2ffb70940321",
            
584
      "name": "Zimbabwe",
600
      "name": "Zimbabwe",
            
585
      "state": "active",
601
      "state": "active",
            
586
      "vocabulary_id": null
602
      "vocabulary_id": null
            
587
    }
603
    }
            
588
  ],
604
  ],
            
589
  "theme_eu": [
605
  "theme_eu": [
            
590
    "http://publications.europa.eu/resource/authority/data-theme/ENVI"
606
    "http://publications.europa.eu/resource/authority/data-theme/ENVI"
            
591
  ],
607
  ],
            
592
  "title": "Flood Exposure Maps for Buzi-Pungwe-Save (BuPuSa) 
608
  "title": "Flood Exposure Maps for Buzi-Pungwe-Save (BuPuSa) 
            
593
Transboundary River Basins",
609
Transboundary River Basins",
            
594
  "title_translated": {
610
  "title_translated": {
            
595
    "en": "Flood Exposure Maps for Buzi-Pungwe-Save (BuPuSa) 
611
    "en": "Flood Exposure Maps for Buzi-Pungwe-Save (BuPuSa) 
            
596
Transboundary River Basins",
612
Transboundary River Basins",
            
597
    "es": "",
613
    "es": "",
            
598
    "fr": ""
614
    "fr": ""
            
599
  },
615
  },
            
600
  "topic": 
616
  "topic": 
            
601
p://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment",
617
p://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment",
            
602
  "type": "dataset",
618
  "type": "dataset",
            
603
  "unesdocimage": "",
619
  "unesdocimage": "",
            
604
  "unesdocurl": "",
620
  "unesdocurl": "",
            
605
  "url": "",
621
  "url": "",
            
606
  "version": "",
622
  "version": "",
            
607
  "version_notes": {
623
  "version_notes": {
            
608
    "en": "",
624
    "en": "",
            
609
    "es": "",
625
    "es": "",
            
610
    "fr": ""
626
    "fr": ""
            
611
  }
627
  }
            
612
}
628
}