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On 14. juli 2025 kl. 14.39.57 UTC,
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f | 1 | { | f | 1 | { |
2 | "author": "Christa Brelsford", | 2 | "author": "Christa Brelsford", | ||
3 | "author_email": "cbrelsford@lanl.gov", | 3 | "author_email": "cbrelsford@lanl.gov", | ||
4 | "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc", | 4 | "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc", | ||
5 | "groups": [], | 5 | "groups": [], | ||
6 | "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | 6 | "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | ||
7 | "isopen": true, | 7 | "isopen": true, | ||
8 | "license_id": "cc-by-sa", | 8 | "license_id": "cc-by-sa", | ||
9 | "license_title": "Creative Commons Attribution Share-Alike", | 9 | "license_title": "Creative Commons Attribution Share-Alike", | ||
10 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | 10 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | ||
11 | "maintainer": "Christa Brelsford", | 11 | "maintainer": "Christa Brelsford", | ||
12 | "maintainer_email": "cbrelsford@lanl.gov", | 12 | "maintainer_email": "cbrelsford@lanl.gov", | ||
13 | "metadata_created": "2025-07-14T14:29:04.976540", | 13 | "metadata_created": "2025-07-14T14:29:04.976540", | ||
n | 14 | "metadata_modified": "2025-07-14T14:39:57.726037", | n | 14 | "metadata_modified": "2025-07-14T14:39:57.889300", |
15 | "name": "optimized-sensor-locations-flood-risk-southeast-texas", | 15 | "name": "optimized-sensor-locations-flood-risk-southeast-texas", | ||
16 | "notes": "This GeoJSON dataset contains the optimized locations for | 16 | "notes": "This GeoJSON dataset contains the optimized locations for | ||
17 | additional flood sensors in Southeast Texas. These locations were | 17 | additional flood sensors in Southeast Texas. These locations were | ||
18 | selected using a multi-objective risk framework that balances three | 18 | selected using a multi-objective risk framework that balances three | ||
19 | components: flood hazard, population exposure, and socio-economic | 19 | components: flood hazard, population exposure, and socio-economic | ||
20 | vulnerability. The optimization process ensures proportional | 20 | vulnerability. The optimization process ensures proportional | ||
21 | representation across these dimensions and supports more equitable and | 21 | representation across these dimensions and supports more equitable and | ||
22 | effective flood monitoring infrastructure.\r\n\r\nEach feature | 22 | effective flood monitoring infrastructure.\r\n\r\nEach feature | ||
23 | includes:\r\n\r\nCoordinates of proposed sensor | 23 | includes:\r\n\r\nCoordinates of proposed sensor | ||
24 | placement\r\n\r\nCatchment ID\r\n\r\nOptimization priority (hazard, | 24 | placement\r\n\r\nCatchment ID\r\n\r\nOptimization priority (hazard, | ||
25 | exposure, vulnerability, or balanced)\r\n\r\nThis dataset supports | 25 | exposure, vulnerability, or balanced)\r\n\r\nThis dataset supports | ||
26 | regional planning, risk mitigation, and infrastructure design | 26 | regional planning, risk mitigation, and infrastructure design | ||
27 | decisions.", | 27 | decisions.", | ||
28 | "num_resources": 1, | 28 | "num_resources": 1, | ||
29 | "num_tags": 11, | 29 | "num_tags": 11, | ||
30 | "organization": { | 30 | "organization": { | ||
31 | "approval_status": "approved", | 31 | "approval_status": "approved", | ||
32 | "created": "2024-12-13T20:42:01.291625", | 32 | "created": "2024-12-13T20:42:01.291625", | ||
33 | "description": "Southeast Texas Urban Integrated Field Lab | 33 | "description": "Southeast Texas Urban Integrated Field Lab | ||
34 | (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying | 34 | (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying | ||
35 | the Beaumont-Port Arthur area. The project focuses on Gulf Coast | 35 | the Beaumont-Port Arthur area. The project focuses on Gulf Coast | ||
36 | communities with industrial facilities and population change | 36 | communities with industrial facilities and population change | ||
37 | challenges.", | 37 | challenges.", | ||
38 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | 38 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
39 | "image_url": | 39 | "image_url": | ||
40 | "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", | 40 | "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", | ||
41 | "is_organization": true, | 41 | "is_organization": true, | ||
42 | "name": "setx-uifl", | 42 | "name": "setx-uifl", | ||
43 | "state": "active", | 43 | "state": "active", | ||
44 | "title": "Southeast Texas Urban Integrated Field Lab", | 44 | "title": "Southeast Texas Urban Integrated Field Lab", | ||
45 | "type": "organization" | 45 | "type": "organization" | ||
46 | }, | 46 | }, | ||
47 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | 47 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
48 | "private": false, | 48 | "private": false, | ||
49 | "relationships_as_object": [], | 49 | "relationships_as_object": [], | ||
50 | "relationships_as_subject": [], | 50 | "relationships_as_subject": [], | ||
51 | "resources": [ | 51 | "resources": [ | ||
52 | { | 52 | { | ||
53 | "cache_last_updated": null, | 53 | "cache_last_updated": null, | ||
54 | "cache_url": null, | 54 | "cache_url": null, | ||
55 | "created": "2025-07-14T14:39:57.749378", | 55 | "created": "2025-07-14T14:39:57.749378", | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "format": "GeoJSON", | 57 | "format": "GeoJSON", | ||
58 | "hash": "", | 58 | "hash": "", | ||
59 | "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067", | 59 | "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067", | ||
60 | "last_modified": null, | 60 | "last_modified": null, | ||
61 | "metadata_modified": "2025-07-14T14:39:57.731501", | 61 | "metadata_modified": "2025-07-14T14:39:57.731501", | ||
62 | "mimetype": "application/json", | 62 | "mimetype": "application/json", | ||
63 | "mimetype_inner": null, | 63 | "mimetype_inner": null, | ||
64 | "mint_standard_variables": "", | 64 | "mint_standard_variables": "", | ||
65 | "name": "Water Sensor Risk Optimization", | 65 | "name": "Water Sensor Risk Optimization", | ||
66 | "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | 66 | "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | ||
67 | "position": 0, | 67 | "position": 0, | ||
68 | "resource_type": null, | 68 | "resource_type": null, | ||
69 | "size": null, | 69 | "size": null, | ||
70 | "state": "active", | 70 | "state": "active", | ||
71 | "url": | 71 | "url": | ||
72 | acc.utexas.edu/setxuifl/flood-sensor-optimization/water_risk.geojson", | 72 | acc.utexas.edu/setxuifl/flood-sensor-optimization/water_risk.geojson", | ||
73 | "url_type": "" | 73 | "url_type": "" | ||
74 | } | 74 | } | ||
75 | ], | 75 | ], | ||
76 | "spatial": | 76 | "spatial": | ||
77 | 28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}", | 77 | 28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}", | ||
t | 78 | "state": "draft", | t | 78 | "state": "active", |
79 | "tags": [ | 79 | "tags": [ | ||
80 | { | 80 | { | ||
81 | "display_name": "Environmental Data", | 81 | "display_name": "Environmental Data", | ||
82 | "id": "92f526cf-6f38-438e-bee4-00d1b2485766", | 82 | "id": "92f526cf-6f38-438e-bee4-00d1b2485766", | ||
83 | "name": "Environmental Data", | 83 | "name": "Environmental Data", | ||
84 | "state": "active", | 84 | "state": "active", | ||
85 | "vocabulary_id": null | 85 | "vocabulary_id": null | ||
86 | }, | 86 | }, | ||
87 | { | 87 | { | ||
88 | "display_name": "Flood Hazard", | 88 | "display_name": "Flood Hazard", | ||
89 | "id": "17751723-c39f-49a4-91a7-2342486052d5", | 89 | "id": "17751723-c39f-49a4-91a7-2342486052d5", | ||
90 | "name": "Flood Hazard", | 90 | "name": "Flood Hazard", | ||
91 | "state": "active", | 91 | "state": "active", | ||
92 | "vocabulary_id": null | 92 | "vocabulary_id": null | ||
93 | }, | 93 | }, | ||
94 | { | 94 | { | ||
95 | "display_name": "Flood Sensors", | 95 | "display_name": "Flood Sensors", | ||
96 | "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b", | 96 | "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b", | ||
97 | "name": "Flood Sensors", | 97 | "name": "Flood Sensors", | ||
98 | "state": "active", | 98 | "state": "active", | ||
99 | "vocabulary_id": null | 99 | "vocabulary_id": null | ||
100 | }, | 100 | }, | ||
101 | { | 101 | { | ||
102 | "display_name": "South East Texas", | 102 | "display_name": "South East Texas", | ||
103 | "id": "9e35d08d-b580-4bcf-8879-a1bc12d3b366", | 103 | "id": "9e35d08d-b580-4bcf-8879-a1bc12d3b366", | ||
104 | "name": "South East Texas", | 104 | "name": "South East Texas", | ||
105 | "state": "active", | 105 | "state": "active", | ||
106 | "vocabulary_id": null | 106 | "vocabulary_id": null | ||
107 | }, | 107 | }, | ||
108 | { | 108 | { | ||
109 | "display_name": "exposure", | 109 | "display_name": "exposure", | ||
110 | "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b", | 110 | "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b", | ||
111 | "name": "exposure", | 111 | "name": "exposure", | ||
112 | "state": "active", | 112 | "state": "active", | ||
113 | "vocabulary_id": null | 113 | "vocabulary_id": null | ||
114 | }, | 114 | }, | ||
115 | { | 115 | { | ||
116 | "display_name": "flood-risk", | 116 | "display_name": "flood-risk", | ||
117 | "id": "2ee31ba5-f726-4f77-8f25-ab6b5f2cba38", | 117 | "id": "2ee31ba5-f726-4f77-8f25-ab6b5f2cba38", | ||
118 | "name": "flood-risk", | 118 | "name": "flood-risk", | ||
119 | "state": "active", | 119 | "state": "active", | ||
120 | "vocabulary_id": null | 120 | "vocabulary_id": null | ||
121 | }, | 121 | }, | ||
122 | { | 122 | { | ||
123 | "display_name": "hazard analysis", | 123 | "display_name": "hazard analysis", | ||
124 | "id": "cfedebb5-254f-4509-8152-1ec06e02619d", | 124 | "id": "cfedebb5-254f-4509-8152-1ec06e02619d", | ||
125 | "name": "hazard analysis", | 125 | "name": "hazard analysis", | ||
126 | "state": "active", | 126 | "state": "active", | ||
127 | "vocabulary_id": null | 127 | "vocabulary_id": null | ||
128 | }, | 128 | }, | ||
129 | { | 129 | { | ||
130 | "display_name": "optimization", | 130 | "display_name": "optimization", | ||
131 | "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d", | 131 | "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d", | ||
132 | "name": "optimization", | 132 | "name": "optimization", | ||
133 | "state": "active", | 133 | "state": "active", | ||
134 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
135 | }, | 135 | }, | ||
136 | { | 136 | { | ||
137 | "display_name": "socio-economic Data", | 137 | "display_name": "socio-economic Data", | ||
138 | "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654", | 138 | "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654", | ||
139 | "name": "socio-economic Data", | 139 | "name": "socio-economic Data", | ||
140 | "state": "active", | 140 | "state": "active", | ||
141 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
142 | }, | 142 | }, | ||
143 | { | 143 | { | ||
144 | "display_name": "urban planning", | 144 | "display_name": "urban planning", | ||
145 | "id": "3f631ec7-955e-4783-a375-4c0432b9cb89", | 145 | "id": "3f631ec7-955e-4783-a375-4c0432b9cb89", | ||
146 | "name": "urban planning", | 146 | "name": "urban planning", | ||
147 | "state": "active", | 147 | "state": "active", | ||
148 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
149 | }, | 149 | }, | ||
150 | { | 150 | { | ||
151 | "display_name": "vulnerability", | 151 | "display_name": "vulnerability", | ||
152 | "id": "83eb94cd-4543-48fa-a33e-aa1fb8797d50", | 152 | "id": "83eb94cd-4543-48fa-a33e-aa1fb8797d50", | ||
153 | "name": "vulnerability", | 153 | "name": "vulnerability", | ||
154 | "state": "active", | 154 | "state": "active", | ||
155 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
156 | } | 156 | } | ||
157 | ], | 157 | ], | ||
158 | "title": "Optimized Sensor Locations for Flood Risk Monitoring in | 158 | "title": "Optimized Sensor Locations for Flood Risk Monitoring in | ||
159 | Southeast Texas Based on Risk Equity Framework", | 159 | Southeast Texas Based on Risk Equity Framework", | ||
160 | "type": "dataset", | 160 | "type": "dataset", | ||
161 | "url": "", | 161 | "url": "", | ||
162 | "version": "1.0" | 162 | "version": "1.0" | ||
163 | } | 163 | } |