Characterization of Water Bodies through Hydro-Physical Indices and Anthropogenic Effects in the Eastern Northeast of Brazil Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/cli12090150
Brazil, despite possessing the largest renewable freshwater reserves in the world (8.65 trillion m3 annually), faces growing challenges in water management due to increasing demand. Agriculture, responsible for 68.4% of water consumption, is one of the main drivers of this demand, especially in the São Francisco River Basin, where irrigation accounts for 81% of total water withdrawals. Water bodies play a crucial role in sustaining ecosystems and supporting life, particularly along the East-West axis of Alagoas, a water-rich region in the ENEB. This study aimed to map and quantify the spatiotemporal variations of water bodies in the ENEB region and assess the impacts of human activities using MODIS satellite data, applying hydrological indices such as NDWI, MNDWI, and AWEI. Between 2003 and 2022, significant variations in the extent of water bodies were observed, with reductions of up to 100 km2 during dry periods and expansions of up to 300 km2 during wet seasons compared to dry periods. AWEI and MNDWI proved to be the most effective indices for detecting water bodies with MODIS data, providing accurate insights into water dynamics. Additionally, the MapBiomas Rios dataset, despite being resampled from a 30 m to a 500 m resolution, offered the most accurate representation of water bodies due to its methodology for data acquisition. Changes in albedo and surface temperature were also detected, highlighting the influence of climate change on the region’s water resources. These findings are crucial for guiding the sustainable management of water resources, not only in Alagoas but also in other regions of Brazil and similar semi-arid areas around the world. The study demonstrates the hydrological variability in the state of Alagoas, indicating the need for adaptive strategies to mitigate the impacts of climate change and anthropogenic pressures, supporting the need for informed decision-making in water resource management at both local and national levels.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cli12090150
- OA Status
- gold
- Cited By
- 3
- References
- 166
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402747275
Raw OpenAlex JSON
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https://openalex.org/W4402747275Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/cli12090150Digital Object Identifier
- Title
-
Characterization of Water Bodies through Hydro-Physical Indices and Anthropogenic Effects in the Eastern Northeast of BrazilWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-23Full publication date if available
- Authors
-
Christopher Horvath Scheibel, Astrogilda Batista do Nascimento, George do Nascimento Araújo Júnior, Alexsandro Cláudio dos Santos Almeida, Thieres George Freire da Silva, José Lucas Pereira da Silva, Francisco Jardel Feijó e Silva, Josivalter Araújo de Farias, João Pedro Alves de Souza Santos, José Francisco de Oliveira‐Júnior, Jhon Lennon Bezerra da Silva, Fernando Manuel João, Alex Santos de Deus, Iêdo Teodoro, Henrique Fonseca Elias de Oliveira, Marcos Vinícius da SilvaList of authors in order
- Landing page
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https://doi.org/10.3390/cli12090150Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/cli12090150Direct OA link when available
- Concepts
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Environmental science, Climate change, Water resources, Surface water, Agriculture, Hydrology (agriculture), Physical geography, Ecosystem, Water resource management, Geography, Oceanography, Ecology, Geology, Archaeology, Biology, Geotechnical engineering, Environmental engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
- References (count)
-
166Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.aimed | 84 |
| abstract_inverted_index.along | 70 |
| abstract_inverted_index.areas | 258 |
| abstract_inverted_index.being | 186 |
| abstract_inverted_index.data, | 109, 173 |
| abstract_inverted_index.faces | 15 |
| abstract_inverted_index.human | 104 |
| abstract_inverted_index.life, | 68 |
| abstract_inverted_index.local | 301 |
| abstract_inverted_index.other | 251 |
| abstract_inverted_index.state | 270 |
| abstract_inverted_index.study | 83, 263 |
| abstract_inverted_index.total | 54 |
| abstract_inverted_index.using | 106 |
| abstract_inverted_index.water | 19, 30, 55, 93, 129, 169, 178, 203, 230, 242, 296 |
| abstract_inverted_index.where | 48 |
| abstract_inverted_index.world | 10 |
| abstract_inverted_index.Basin, | 47 |
| abstract_inverted_index.Brazil | 254 |
| abstract_inverted_index.MNDWI, | 116 |
| abstract_inverted_index.albedo | 214 |
| abstract_inverted_index.around | 259 |
| abstract_inverted_index.assess | 100 |
| abstract_inverted_index.bodies | 58, 94, 130, 170, 204 |
| abstract_inverted_index.change | 226, 285 |
| abstract_inverted_index.during | 140, 150 |
| abstract_inverted_index.extent | 127 |
| abstract_inverted_index.proved | 160 |
| abstract_inverted_index.region | 78, 98 |
| abstract_inverted_index.world. | 261 |
| abstract_inverted_index.Alagoas | 247 |
| abstract_inverted_index.Between | 119 |
| abstract_inverted_index.Brazil, | 0 |
| abstract_inverted_index.Changes | 212 |
| abstract_inverted_index.climate | 225, 284 |
| abstract_inverted_index.crucial | 61, 235 |
| abstract_inverted_index.demand, | 40 |
| abstract_inverted_index.demand. | 24 |
| abstract_inverted_index.despite | 1, 185 |
| abstract_inverted_index.drivers | 37 |
| abstract_inverted_index.growing | 16 |
| abstract_inverted_index.guiding | 237 |
| abstract_inverted_index.impacts | 102, 282 |
| abstract_inverted_index.indices | 112, 166 |
| abstract_inverted_index.largest | 4 |
| abstract_inverted_index.levels. | 304 |
| abstract_inverted_index.offered | 197 |
| abstract_inverted_index.periods | 142 |
| abstract_inverted_index.regions | 252 |
| abstract_inverted_index.seasons | 152 |
| abstract_inverted_index.similar | 256 |
| abstract_inverted_index.surface | 216 |
| abstract_inverted_index.Alagoas, | 75, 272 |
| abstract_inverted_index.accounts | 50 |
| abstract_inverted_index.accurate | 175, 200 |
| abstract_inverted_index.adaptive | 277 |
| abstract_inverted_index.applying | 110 |
| abstract_inverted_index.compared | 153 |
| abstract_inverted_index.dataset, | 184 |
| abstract_inverted_index.findings | 233 |
| abstract_inverted_index.informed | 293 |
| abstract_inverted_index.insights | 176 |
| abstract_inverted_index.mitigate | 280 |
| abstract_inverted_index.national | 303 |
| abstract_inverted_index.periods. | 156 |
| abstract_inverted_index.quantify | 88 |
| abstract_inverted_index.reserves | 7 |
| abstract_inverted_index.resource | 297 |
| abstract_inverted_index.trillion | 12 |
| abstract_inverted_index.East-West | 72 |
| abstract_inverted_index.Francisco | 45 |
| abstract_inverted_index.MapBiomas | 182 |
| abstract_inverted_index.detected, | 220 |
| abstract_inverted_index.detecting | 168 |
| abstract_inverted_index.dynamics. | 179 |
| abstract_inverted_index.effective | 165 |
| abstract_inverted_index.influence | 223 |
| abstract_inverted_index.observed, | 132 |
| abstract_inverted_index.providing | 174 |
| abstract_inverted_index.renewable | 5 |
| abstract_inverted_index.resampled | 187 |
| abstract_inverted_index.satellite | 108 |
| abstract_inverted_index.semi-arid | 257 |
| abstract_inverted_index.activities | 105 |
| abstract_inverted_index.annually), | 14 |
| abstract_inverted_index.challenges | 17 |
| abstract_inverted_index.ecosystems | 65 |
| abstract_inverted_index.especially | 41 |
| abstract_inverted_index.expansions | 144 |
| abstract_inverted_index.freshwater | 6 |
| abstract_inverted_index.increasing | 23 |
| abstract_inverted_index.indicating | 273 |
| abstract_inverted_index.irrigation | 49 |
| abstract_inverted_index.management | 20, 240, 298 |
| abstract_inverted_index.possessing | 2 |
| abstract_inverted_index.pressures, | 288 |
| abstract_inverted_index.reductions | 134 |
| abstract_inverted_index.region’s | 229 |
| abstract_inverted_index.resources, | 243 |
| abstract_inverted_index.resources. | 231 |
| abstract_inverted_index.strategies | 278 |
| abstract_inverted_index.supporting | 67, 289 |
| abstract_inverted_index.sustaining | 64 |
| abstract_inverted_index.variations | 91, 124 |
| abstract_inverted_index.water-rich | 77 |
| abstract_inverted_index.methodology | 208 |
| abstract_inverted_index.resolution, | 196 |
| abstract_inverted_index.responsible | 26 |
| abstract_inverted_index.significant | 123 |
| abstract_inverted_index.sustainable | 239 |
| abstract_inverted_index.temperature | 217 |
| abstract_inverted_index.variability | 267 |
| abstract_inverted_index.Agriculture, | 25 |
| abstract_inverted_index.acquisition. | 211 |
| abstract_inverted_index.consumption, | 31 |
| abstract_inverted_index.demonstrates | 264 |
| abstract_inverted_index.highlighting | 221 |
| abstract_inverted_index.hydrological | 111, 266 |
| abstract_inverted_index.particularly | 69 |
| abstract_inverted_index.withdrawals. | 56 |
| abstract_inverted_index.Additionally, | 180 |
| abstract_inverted_index.anthropogenic | 287 |
| abstract_inverted_index.representation | 201 |
| abstract_inverted_index.spatiotemporal | 90 |
| abstract_inverted_index.decision-making | 294 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 16 |
| citation_normalized_percentile.value | 0.77349938 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |