Scholarlink

This study aimed to identify and quantify the wet perimeter in the Sauípe River basin, located in the northern coast of Bahia state, through the relationship between moisture concentration at points in the basin and its slope, aiming to the areas saturated by Dunnian runoff. The study contributes to the knowledge about hydrological dynamics, especially in areas with potential for surface runoff from saturated soil, which can assist in preserving forest remnants and environmental management, among other possibilities. Methods: Landsat 08 satellite imagery was used in conjunction with dry season water balance data obtained from the National Institute of Meteorology. The images were processed using QGIS software, employing the Normalized Difference Water Index (NDWI) to identify areas with soil moisture and potential for Dunnian runoff. Results: By analyzing spectral indices and NDWI, saturated zones with moisture concentration were identified, indicating the potential for Dunnian run-off mechanism. Note that the Dunnian runoff process predominantly occurs from the middle course to the mouth of the basin, following the east-to-west flow direction. The higher areas of the basin showed water infiltration in the soil, while saturation predominated in regions with contrasting low and high slopes. Discussion/Interpretation: The results suggest a relationship between slope, high moisture, and the occurrence of Dunnian runoff as a predominant mechanism in low slope areas. The study highlights the importance of considering hydrological, pedological, and geomorphological factors to understand the geoenvironmental dynamics of the region. The presence of eucalyptus trees in the area and their potential effects on soil moisture should be considered as additional factors. Conclusion: The introductory study presented an empirical relationship between Dunnian runoff, soil moisture, and slope in the Sauípe River basin. However, further studies are needed to confirm this relationship. Remote sensing and geoprocessing have shown promising applicability in understanding the region's hydrological dynamics and contributing to preserving these ecosystems.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Identification of Dunnian Runoff Through Spectral Indices in the Hydrographic Basin of the Sauípe River, Bahia, Brazil

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Alarcon Matos de Oliveira,
  • Marley Oliveira de Souza,
  • Lusanira Nogueira Aragão de Oliveira,
  • Rosangela Leal Santos

摘要

This study aimed to identify and quantify the wet perimeter in the Sauípe River basin, located in the northern coast of Bahia state, through the relationship between moisture concentration at points in the basin and its slope, aiming to the areas saturated by Dunnian runoff. The study contributes to the knowledge about hydrological dynamics, especially in areas with potential for surface runoff from saturated soil, which can assist in preserving forest remnants and environmental management, among other possibilities. Methods: Landsat 08 satellite imagery was used in conjunction with dry season water balance data obtained from the National Institute of Meteorology. The images were processed using QGIS software, employing the Normalized Difference Water Index (NDWI) to identify areas with soil moisture and potential for Dunnian runoff. Results: By analyzing spectral indices and NDWI, saturated zones with moisture concentration were identified, indicating the potential for Dunnian run-off mechanism. Note that the Dunnian runoff process predominantly occurs from the middle course to the mouth of the basin, following the east-to-west flow direction. The higher areas of the basin showed water infiltration in the soil, while saturation predominated in regions with contrasting low and high slopes. Discussion/Interpretation: The results suggest a relationship between slope, high moisture, and the occurrence of Dunnian runoff as a predominant mechanism in low slope areas. The study highlights the importance of considering hydrological, pedological, and geomorphological factors to understand the geoenvironmental dynamics of the region. The presence of eucalyptus trees in the area and their potential effects on soil moisture should be considered as additional factors. Conclusion: The introductory study presented an empirical relationship between Dunnian runoff, soil moisture, and slope in the Sauípe River basin. However, further studies are needed to confirm this relationship. Remote sensing and geoprocessing have shown promising applicability in understanding the region's hydrological dynamics and contributing to preserving these ecosystems.