Discharge and sediment load modeling using rating curve-based missing data management

ABSTRACT Hydrological models are vital for water management to determine in-stream flow, irrigational water, domestic water supply, and biodiversity conservation. This study formulates a hydrological model with a novel approach for streamflow and sediment load in the QGIS-supported Soil and Water Assessment Tool for the Halda River catchment, a unique ecological habitat for natural carp spawning and freshwater sources. The daily simulation uses an innovative stage–discharge relationship technique from available 15-day interval flow data. The model evaluation parameters R2 values 0.80 and 0.62, and NS values 0.81 and 0.61 for calibration and validation of streamflow suggested excellent agreement in the seasonal cycle and most of the monsoon peak flow. The streamflow/precipitation ratio indicates a significant influence of groundwater through infiltration. The baseflow shows a decreasing trend. The sediment load based on suspended sediment concentration at a downstream location is 1,625 tons/day. On the contrary, the model prediction is 30 times lower. The scattered sediment load data support the model estimate by considering relatively lower intervention or land use change in its upstream. This model provides a baseline for daily flow and sediment load for scenario modeling (e.g., climate change, land use change) for environmental flow estimation of the fish habitat, freshwater supply, irrigation, and salinity intrusion.

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Publication Details

Journal
Hydrology research
Published
2024-08-29
DOI
https://doi.org/10.2166/nh.2024.165
Citations
1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.20

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article

Discharge and sediment load modeling using rating curve-based missing data management

Shyamal Karmakar, Abdullah Al Mamun, Srijon Datta, Md Shafiul Alam et al.
1 citations
Hydrology research
Hydrology and Watershed Management Studies
0.20
article

Discharge and sediment load modeling using rating curve-based missing data management

Shyamal Karmakar, Abdullah Al Mamun, Srijon Datta, Md Shafiul Alam, Mohammad Mozaffar Hossain, Md. Enamul Hoque, Ayub Parvez Sajid, Marjena Beantha Haque
article en
1 citations

Abstract

ABSTRACT Hydrological models are vital for water management to determine in-stream flow, irrigational water, domestic water supply, and biodiversity conservation. This study formulates a hydrological model with a novel approach for streamflow and sediment load in the QGIS-supported Soil and Water Assessment Tool for the Halda River catchment, a unique ecological habitat for natural carp spawning and freshwater sources. The daily simulation uses an innovative stage–discharge relationship technique from available 15-day interval flow data. The model evaluation parameters R2 values 0.80 and 0.62, and NS values 0.81 and 0.61 for calibration and validation of streamflow suggested excellent agreement in the seasonal cycle and most of the monsoon peak flow. The streamflow/precipitation ratio indicates a significant influence of groundwater through infiltration. The baseflow shows a decreasing trend. The sediment load based on suspended sediment concentration at a downstream location is 1,625 tons/day. On the contrary, the model prediction is 30 times lower. The scattered sediment load data support the model estimate by considering relatively lower intervention or land use change in its upstream. This model provides a baseline for daily flow and sediment load for scenario modeling (e.g., climate change, land use change) for environmental flow estimation of the fish habitat, freshwater supply, irrigation, and salinity intrusion.

Hydrology researchVol. 55(10)
University of Chittagong (BD)
University of Chittagong
Clean water and sanitation
Openalex Percentile: Top 46%
Hydrology and Watershed Management Studies
0.20
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Discharge and sediment load modeling using rating curve-based missing data management — Shyamal Karmakar, Abdullah Al Mamun, et al. · Hydrology research (2024) | TGRS Research Map | TGRS