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On 14. juli 2025 kl. 14.41.32 UTC,
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Updated description of Optimized Sensor Locations for Flood Risk Monitoring in Southeast Texas Based on Risk Equity Framework from
This GeoJSON dataset contains the optimized locations for additional flood sensors in Southeast Texas. These locations were selected using a multi-objective risk framework that balances three components: flood hazard, population exposure, and socio-economic vulnerability. The optimization process ensures proportional representation across these dimensions and supports more equitable and effective flood monitoring infrastructure. Each feature includes: Coordinates of proposed sensor placement Catchment ID Optimization priority (hazard, exposure, vulnerability, or balanced) This dataset supports regional planning, risk mitigation, and infrastructure design decisions.
toThis GeoJSON dataset contains the optimized locations for additional flood sensors in Southeast Texas. These locations were selected using a multi-objective risk framework that balances three components: flood hazard, population exposure, and socio-economic vulnerability. The optimization process ensures proportional representation across these dimensions and supports more equitable and effective flood monitoring infrastructure. Each feature includes: Raw Hazard, Exposure, Vulnerability and risk scores Optimization priority (hazard, exposure, vulnerability, or risk) This dataset supports regional planning, risk mitigation, and infrastructure design decisions.
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", | ||
n | 5 | "groups": [], | n | 5 | "groups": [ |
6 | { | ||||
7 | "description": "Core infrastructure for a reusable Knowledge | ||||
8 | Management Platform. Research and develop scalable decision support | ||||
9 | and deep uncertainty cybertools. How: Collaborate with research team | ||||
10 | to design and implement services that support data and model | ||||
11 | management and extend CI and DSS approaches that will be sustained via | ||||
12 | leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. | ||||
13 | Research Focus (RF's) to develop advanced decision support tools that | ||||
14 | address: * RF1 - knowledge capture for sensed and unstructured | ||||
15 | information, * RF2 \u2013 develop reusable analytical methods that | ||||
16 | use natural language processing to computationally deconstruct problem | ||||
17 | formulations and link data/models with decision problems. * RF3 \u2013 | ||||
18 | explore and design methods and utilities that support a standardized | ||||
19 | use of methods for decision making under deep uncertainty. | ||||
20 | Implementation Science to support stakeholder community needs and act | ||||
21 | as a learning laboratory for Intelligent Systems and IFL | ||||
22 | researchers\r\n\r\nPrinciple Funder: Planet Texas 2050", | ||||
23 | "display_name": "Texas: Southeast Region", | ||||
24 | "id": "fc1a600d-1f56-421b-9f8a-8deca201ff03", | ||||
25 | "image_display_url": | ||||
26 | oup/2025-02-21-163737.483713Screenshot-2025-02-21-at-10.37.15-AM.png", | ||||
27 | "name": "setx", | ||||
28 | "title": "Texas: Southeast Region" | ||||
29 | } | ||||
30 | ], | ||||
6 | "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | 31 | "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | ||
7 | "isopen": true, | 32 | "isopen": true, | ||
8 | "license_id": "cc-by-sa", | 33 | "license_id": "cc-by-sa", | ||
9 | "license_title": "Creative Commons Attribution Share-Alike", | 34 | "license_title": "Creative Commons Attribution Share-Alike", | ||
10 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | 35 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | ||
11 | "maintainer": "Christa Brelsford", | 36 | "maintainer": "Christa Brelsford", | ||
12 | "maintainer_email": "cbrelsford@lanl.gov", | 37 | "maintainer_email": "cbrelsford@lanl.gov", | ||
13 | "metadata_created": "2025-07-14T14:29:04.976540", | 38 | "metadata_created": "2025-07-14T14:29:04.976540", | ||
n | 14 | "metadata_modified": "2025-07-14T14:39:57.889300", | n | 39 | "metadata_modified": "2025-07-14T14:41:32.602151", |
15 | "name": "optimized-sensor-locations-flood-risk-southeast-texas", | 40 | "name": "optimized-sensor-locations-flood-risk-southeast-texas", | ||
16 | "notes": "This GeoJSON dataset contains the optimized locations for | 41 | "notes": "This GeoJSON dataset contains the optimized locations for | ||
17 | additional flood sensors in Southeast Texas. These locations were | 42 | additional flood sensors in Southeast Texas. These locations were | ||
18 | selected using a multi-objective risk framework that balances three | 43 | selected using a multi-objective risk framework that balances three | ||
19 | components: flood hazard, population exposure, and socio-economic | 44 | components: flood hazard, population exposure, and socio-economic | ||
20 | vulnerability. The optimization process ensures proportional | 45 | vulnerability. The optimization process ensures proportional | ||
21 | representation across these dimensions and supports more equitable and | 46 | representation across these dimensions and supports more equitable and | ||
22 | effective flood monitoring infrastructure.\r\n\r\nEach feature | 47 | effective flood monitoring infrastructure.\r\n\r\nEach feature | ||
t | 23 | includes:\r\n\r\nCoordinates of proposed sensor | t | 48 | includes:\r\n\r\nRaw Hazard, Exposure, Vulnerability and risk |
24 | placement\r\n\r\nCatchment ID\r\n\r\nOptimization priority (hazard, | 49 | scores\r\nOptimization priority (hazard, exposure, vulnerability, or | ||
25 | exposure, vulnerability, or balanced)\r\n\r\nThis dataset supports | 50 | risk)\r\n\r\nThis dataset supports regional planning, risk mitigation, | ||
26 | regional planning, risk mitigation, and infrastructure design | 51 | and infrastructure design decisions.", | ||
27 | decisions.", | ||||
28 | "num_resources": 1, | 52 | "num_resources": 1, | ||
29 | "num_tags": 11, | 53 | "num_tags": 11, | ||
30 | "organization": { | 54 | "organization": { | ||
31 | "approval_status": "approved", | 55 | "approval_status": "approved", | ||
32 | "created": "2024-12-13T20:42:01.291625", | 56 | "created": "2024-12-13T20:42:01.291625", | ||
33 | "description": "Southeast Texas Urban Integrated Field Lab | 57 | "description": "Southeast Texas Urban Integrated Field Lab | ||
34 | (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying | 58 | (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying | ||
35 | the Beaumont-Port Arthur area. The project focuses on Gulf Coast | 59 | the Beaumont-Port Arthur area. The project focuses on Gulf Coast | ||
36 | communities with industrial facilities and population change | 60 | communities with industrial facilities and population change | ||
37 | challenges.", | 61 | challenges.", | ||
38 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | 62 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
39 | "image_url": | 63 | "image_url": | ||
40 | "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", | 64 | "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", | ||
41 | "is_organization": true, | 65 | "is_organization": true, | ||
42 | "name": "setx-uifl", | 66 | "name": "setx-uifl", | ||
43 | "state": "active", | 67 | "state": "active", | ||
44 | "title": "Southeast Texas Urban Integrated Field Lab", | 68 | "title": "Southeast Texas Urban Integrated Field Lab", | ||
45 | "type": "organization" | 69 | "type": "organization" | ||
46 | }, | 70 | }, | ||
47 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | 71 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
48 | "private": false, | 72 | "private": false, | ||
49 | "relationships_as_object": [], | 73 | "relationships_as_object": [], | ||
50 | "relationships_as_subject": [], | 74 | "relationships_as_subject": [], | ||
51 | "resources": [ | 75 | "resources": [ | ||
52 | { | 76 | { | ||
53 | "cache_last_updated": null, | 77 | "cache_last_updated": null, | ||
54 | "cache_url": null, | 78 | "cache_url": null, | ||
55 | "created": "2025-07-14T14:39:57.749378", | 79 | "created": "2025-07-14T14:39:57.749378", | ||
56 | "description": "", | 80 | "description": "", | ||
57 | "format": "GeoJSON", | 81 | "format": "GeoJSON", | ||
58 | "hash": "", | 82 | "hash": "", | ||
59 | "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067", | 83 | "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067", | ||
60 | "last_modified": null, | 84 | "last_modified": null, | ||
61 | "metadata_modified": "2025-07-14T14:39:57.731501", | 85 | "metadata_modified": "2025-07-14T14:39:57.731501", | ||
62 | "mimetype": "application/json", | 86 | "mimetype": "application/json", | ||
63 | "mimetype_inner": null, | 87 | "mimetype_inner": null, | ||
64 | "mint_standard_variables": "", | 88 | "mint_standard_variables": "", | ||
65 | "name": "Water Sensor Risk Optimization", | 89 | "name": "Water Sensor Risk Optimization", | ||
66 | "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | 90 | "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | ||
67 | "position": 0, | 91 | "position": 0, | ||
68 | "resource_type": null, | 92 | "resource_type": null, | ||
69 | "size": null, | 93 | "size": null, | ||
70 | "state": "active", | 94 | "state": "active", | ||
71 | "url": | 95 | "url": | ||
72 | acc.utexas.edu/setxuifl/flood-sensor-optimization/water_risk.geojson", | 96 | acc.utexas.edu/setxuifl/flood-sensor-optimization/water_risk.geojson", | ||
73 | "url_type": "" | 97 | "url_type": "" | ||
74 | } | 98 | } | ||
75 | ], | 99 | ], | ||
76 | "spatial": | 100 | "spatial": | ||
77 | 28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}", | 101 | 28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}", | ||
78 | "state": "active", | 102 | "state": "active", | ||
79 | "tags": [ | 103 | "tags": [ | ||
80 | { | 104 | { | ||
81 | "display_name": "Environmental Data", | 105 | "display_name": "Environmental Data", | ||
82 | "id": "92f526cf-6f38-438e-bee4-00d1b2485766", | 106 | "id": "92f526cf-6f38-438e-bee4-00d1b2485766", | ||
83 | "name": "Environmental Data", | 107 | "name": "Environmental Data", | ||
84 | "state": "active", | 108 | "state": "active", | ||
85 | "vocabulary_id": null | 109 | "vocabulary_id": null | ||
86 | }, | 110 | }, | ||
87 | { | 111 | { | ||
88 | "display_name": "Flood Hazard", | 112 | "display_name": "Flood Hazard", | ||
89 | "id": "17751723-c39f-49a4-91a7-2342486052d5", | 113 | "id": "17751723-c39f-49a4-91a7-2342486052d5", | ||
90 | "name": "Flood Hazard", | 114 | "name": "Flood Hazard", | ||
91 | "state": "active", | 115 | "state": "active", | ||
92 | "vocabulary_id": null | 116 | "vocabulary_id": null | ||
93 | }, | 117 | }, | ||
94 | { | 118 | { | ||
95 | "display_name": "Flood Sensors", | 119 | "display_name": "Flood Sensors", | ||
96 | "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b", | 120 | "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b", | ||
97 | "name": "Flood Sensors", | 121 | "name": "Flood Sensors", | ||
98 | "state": "active", | 122 | "state": "active", | ||
99 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
100 | }, | 124 | }, | ||
101 | { | 125 | { | ||
102 | "display_name": "South East Texas", | 126 | "display_name": "South East Texas", | ||
103 | "id": "9e35d08d-b580-4bcf-8879-a1bc12d3b366", | 127 | "id": "9e35d08d-b580-4bcf-8879-a1bc12d3b366", | ||
104 | "name": "South East Texas", | 128 | "name": "South East Texas", | ||
105 | "state": "active", | 129 | "state": "active", | ||
106 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
107 | }, | 131 | }, | ||
108 | { | 132 | { | ||
109 | "display_name": "exposure", | 133 | "display_name": "exposure", | ||
110 | "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b", | 134 | "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b", | ||
111 | "name": "exposure", | 135 | "name": "exposure", | ||
112 | "state": "active", | 136 | "state": "active", | ||
113 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
114 | }, | 138 | }, | ||
115 | { | 139 | { | ||
116 | "display_name": "flood-risk", | 140 | "display_name": "flood-risk", | ||
117 | "id": "2ee31ba5-f726-4f77-8f25-ab6b5f2cba38", | 141 | "id": "2ee31ba5-f726-4f77-8f25-ab6b5f2cba38", | ||
118 | "name": "flood-risk", | 142 | "name": "flood-risk", | ||
119 | "state": "active", | 143 | "state": "active", | ||
120 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
121 | }, | 145 | }, | ||
122 | { | 146 | { | ||
123 | "display_name": "hazard analysis", | 147 | "display_name": "hazard analysis", | ||
124 | "id": "cfedebb5-254f-4509-8152-1ec06e02619d", | 148 | "id": "cfedebb5-254f-4509-8152-1ec06e02619d", | ||
125 | "name": "hazard analysis", | 149 | "name": "hazard analysis", | ||
126 | "state": "active", | 150 | "state": "active", | ||
127 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
128 | }, | 152 | }, | ||
129 | { | 153 | { | ||
130 | "display_name": "optimization", | 154 | "display_name": "optimization", | ||
131 | "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d", | 155 | "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d", | ||
132 | "name": "optimization", | 156 | "name": "optimization", | ||
133 | "state": "active", | 157 | "state": "active", | ||
134 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
135 | }, | 159 | }, | ||
136 | { | 160 | { | ||
137 | "display_name": "socio-economic Data", | 161 | "display_name": "socio-economic Data", | ||
138 | "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654", | 162 | "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654", | ||
139 | "name": "socio-economic Data", | 163 | "name": "socio-economic Data", | ||
140 | "state": "active", | 164 | "state": "active", | ||
141 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
142 | }, | 166 | }, | ||
143 | { | 167 | { | ||
144 | "display_name": "urban planning", | 168 | "display_name": "urban planning", | ||
145 | "id": "3f631ec7-955e-4783-a375-4c0432b9cb89", | 169 | "id": "3f631ec7-955e-4783-a375-4c0432b9cb89", | ||
146 | "name": "urban planning", | 170 | "name": "urban planning", | ||
147 | "state": "active", | 171 | "state": "active", | ||
148 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
149 | }, | 173 | }, | ||
150 | { | 174 | { | ||
151 | "display_name": "vulnerability", | 175 | "display_name": "vulnerability", | ||
152 | "id": "83eb94cd-4543-48fa-a33e-aa1fb8797d50", | 176 | "id": "83eb94cd-4543-48fa-a33e-aa1fb8797d50", | ||
153 | "name": "vulnerability", | 177 | "name": "vulnerability", | ||
154 | "state": "active", | 178 | "state": "active", | ||
155 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
156 | } | 180 | } | ||
157 | ], | 181 | ], | ||
158 | "title": "Optimized Sensor Locations for Flood Risk Monitoring in | 182 | "title": "Optimized Sensor Locations for Flood Risk Monitoring in | ||
159 | Southeast Texas Based on Risk Equity Framework", | 183 | Southeast Texas Based on Risk Equity Framework", | ||
160 | "type": "dataset", | 184 | "type": "dataset", | ||
161 | "url": "", | 185 | "url": "", | ||
162 | "version": "1.0" | 186 | "version": "1.0" | ||
163 | } | 187 | } |