Hybrid model approach for hilly sub-watershed prioritization using morphometric parameters: a case study from Bakkhali river watershed in Cox’s Bazar, Bangladesh DOI Creative Commons

Md. Moniruzzaman

Geology Ecology and Landscapes, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Dec. 8, 2024

This study investigates the morphometry of Bakkhali watershed (BW) in hilly districts Cox's Bazar and Bandarban, Bangladesh, to analyze its hydrological characteristics. Morphometric parameters were utilized prioritize sub-watersheds (SWs) through a hybrid approach combining principal component analysis (PCA) weighted-sum (WSA). Using ArcGIS Pro 2.7.0, streams, watershed, SWs delineated from 30-m resolution COP30 DEM. Preliminary priority ranks (PPR) determined based on direct inverse relationships morphometric soil erodibility. Weighted compound factors (CF) calculated PCA results for final prioritization. The BW, fifth-order with drainage area 571.52 km², shows consistent decrease number streams increasing stream order, indicating an erosional landform. mean bifurcation ratio 4.09 suggests higher tendency erosion. Shape indicate elongated less pronounced peak flow identified SW2 SW3 as high-erosion zones, SW4 SW9 medium-erosion SW1 low-erosion zone. demonstrates efficacy geospatial statistical tools SW

Language: Английский

Soil Loss Estimation by Water Erosion in Agricultural Areas Introducing Artificial Intelligence Geospatial Layers into the RUSLE Model DOI Creative Commons
Nikiforos Samarinas, Nikolaos Tsakiridis, Eleni Kalopesa

et al.

Land, Journal Year: 2024, Volume and Issue: 13(2), P. 174 - 174

Published: Feb. 1, 2024

The existing digital soil maps are mainly characterized by coarse spatial resolution and not up to date; thus, they unable support the physical process-based models for improved predictions. overarching objective of this work is oriented toward a data-driven approach datacube-based tools (Soil Data Cube), leveraging Sentinel-2 imagery data, open access databases, ground truth data Artificial Intelligence (AI) architectures provide enhanced geospatial layers into Revised Universal Soil Loss Equation (RUSLE) model, improving both reliability final map. proposed methodology was implemented in agricultural area Imathia Regional Unit (northern Greece), which consists mountainous areas lowlands. Enhanced Organic Carbon (SOC) texture were generated at 10 m through time-series analysis satellite an XGBoost (eXtrene Gradinent Boosting) model. model trained 84 samples (collected from fields) taking account also additional environmental covariates (including elevation climatic data) following Digital Mapping (DSM) approach. introduced RUSLE’s erodibility factor (K-factor), producing erosion layer with high resolution. Notable prediction accuracy achieved AI R2 0.61 SOC 0.73, 0.67 0.63 clay, sand, silt, respectively. average annual loss unit found be 1.76 ton/ha/yr 6% total suffering severe (>11 ton/ha/yr), border regions, showing strong influence mountains fields. overall could strongly regional decision making planning policies such as European Common Agricultural Policy (CAP) Sustainable Development Goals (SDGs).

Language: Английский

Citations

11
Advanced soil conservation for African drylands: from erosion models to management theories DOI

Suleiman Usman

Pedosphere, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1
Evaluation of surface soil quality and land suitability for agricultural soils affected by soil erosion DOI Creative Commons
Suleiman Usman, S. M. Amana, James O. Jayeoba

et al.

Discover Soil., Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 30, 2025

Language: Английский

Citations

1
Integration of RUSLE and geospatial modeling for evaluation of annual average soil erosion and implications for sustainable land management over Melka-Sedi catchment, Ethiopia DOI
Bereket Abera Bedada

Journal of Sedimentary Environments, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

Citations

1
Morphometric Analysis and Prioritisation of the Punarbhaba‐Atrai‐Jamuna River Basins in the Northwest Bangladesh for Soil Conservation DOI Creative Commons
Baig Abdullah Al Shoumik, Md. Sanaul Islam, Muhammad Yousuf Jat Baloch

et al.

Lakes & Reservoirs Science Policy and Management for Sustainable Use, Journal Year: 2025, Volume and Issue: 30(1)

Published: Jan. 1, 2025

ABSTRACT Morphometric analysis plays a key role in understanding the geological and hydrological behaviour of watersheds their prioritisation for soil conservation. The Punarbhaba‐Atrai‐Jamuna river system northwest Bangladesh is agriculturally important, but are frequently affected by droughts summer erosion during monsoon season. morphological studies on this systems very limited, hence, aim study was to investigate characteristics largest basins prioritise studied based vulnerability using two approaches. remote sensing tools were used delineate analyse linear, areal relief aspects morphometric indices six Dinajpur district as conventional methods determining basin expensive time‐consuming. included following regions—Dinajpur Sadar‐Birganj (DS‐B), Sadar‐Khansama (DS‐K), Chirirbandar‐Khansama (C‐K), Nawabganj‐Chirirbandar (N‐C), Birampur‐Parbatipur (B‐P) Hakimpur‐Parbatipur (H‐P). results bifurcation ratio, length overland flow, drainage density, texture constant channel maintenance indicated that well‐dissected had less flood risk. values form factor, elongation circularity ratio compactness coefficient dictated an elongated shape all with mature adjustment. multi‐criteria prioritisation, combining land use factors, offers holistic watershed signifying DS‐B N‐C most vulnerable watersheds, which require sustainable development decision making framework management. This research also provides brief features three complex design management practices conservation open dimension future application models estimate loss.

Language: Английский

Citations

0
Numerically evaluate performance of top surface erodible embankment in Bangladesh DOI Creative Commons
Md. Foisal Haque,

Mohammed S. Islam,

S. Akhter

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Feb. 8, 2025

Language: Английский

Citations

0
Assessment of Soil Erosion Dynamics and Flood Zonation Using Integrated RS and GIS-Based RUSLE Model for Prioritization of Sub-watersheds Morphometry: A Case Study of Shilabati River Basin, West Bengal, India DOI
Sudip Dey, Suprakash Pan

Springer geography, Journal Year: 2025, Volume and Issue: unknown, P. 415 - 443

Published: Jan. 1, 2025

Language: Английский

Citations

0
Assessment and trends of temporal‐spatial changes in land use and slope on soil erosion dynamics: a case study in the Qianhe Graben, China DOI
Zhiheng Liu, Wenjie Zhang, Chenyang Li

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(8)

Published: April 1, 2025

Language: Английский

Citations

0
Spatiotemporal dynamics of soil erosion in the Daqing river basin: a comparative analysis of mountains and plains DOI Creative Commons

Meng Wang,

Yuanyuan Ding,

Yong Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: May 9, 2025

Soil erosion has been significantly exacerbated by climate change and urbanization, posing serious threats to environmental protection sustainable development. In this study, soil in the Daqing River Basin from 2000 2022 was assessed using revised universal loss equation (RUSLE) model, which incorporates data digital elevation model (DEM), normalized vegetation index (NDVI), land-use sources, spatiotemporal evolution of subsequently analyzed. The impacts natural anthropogenic factors on their interactions with were analyzed via random forest partial least squares-structural modeling (PLS-SEM). results revealed that averaged 159 t/(km 2 ·a) 2022, averages 386 mountains 1.1 plains. intensity increased southeast northwest, higher levels than level initially improved but then deteriorated sharply after a significant turning point 2015. Natural factors, particularly precipitation, largest drivers throughout Basin, whereas had greater impact plains mountains. There strong synergy among various basin. mountains, antagonistic coverage, plains, they synergistic coverage meteorological factors.

Language: Английский

Citations

0
Soil erodibility mapping of hilly watershed using analytical hierarchy process and geographical information system: A case of Chittagong hill tract, Bangladesh DOI Creative Commons
Rubaiya Zumara, N. M. Refat Nasher

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26728 - e26728

Published: Feb. 22, 2024

Soil erosion across watersheds and river basins is an alarming environmental deterioration process that poses severe risks to hydrological systems, hydrogeochemical processes, agricultural productivity, the global natural ecosystem. The use of Analytical Hierarchy Process (AHP) Geographical Information System (GIS) assess soil erosivity for watershed widely known. This study applied AHP GIS understand degree hilly Karnaphuli in Chattogram, Bangladesh. used topographical maps, satellite imagery datasets. It implemented GIS-based weighted overlay technique derive eight factors (slope, elevation, Stream Power Index (SPI), Land Use Cover (LULC), curvature, soil, Topographic Wetness (TWI), rainfall. geological stage potential was also identified using Digital Elevation Model (DEM) data through hypsometric analysis. findings demonstrated eastern north-western parts are particularly vulnerable compared other area. most dominant variables influence slope, LULC, SPI. According analysis, slope influential factor (26%), followed by LULC (23.8%), elevation (20.3%), SPI (13.9%) process, determined from curve (S-shaped) integral (0.49), which revealed moderately eroded areas characterized whole research region. significant as they provide valuable information researchers planners address develop measures control it effectively.

Language: Английский

Citations

3