Determination of Spatially-Distributed Hydrological Ecosystem Services (HESS) in the Red River Delta Using a Calibrated SWAT Model

Ha, Lan; Bastiaanssen, W.G.M.

doi:10.3390/su15076247

Cited by 4 publications

(1 citation statement)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, hydrologic/hydraulic models play an important role in improving a better understanding of the dynamics and behavior of fluvial systems (Chomba et al, 2021). However, most hydrological and hydraulic models are data driven and require spatially distributed information regarding topography, land cover and soils hence the development of alternative more robust forms of models (Damayanti, 2011;Ha and Bastiaanssen, 2023).…”

Section: Introductionmentioning

confidence: 99%

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Gumindoga,

Liwonde,

Rwasoka

et al. 2024

Front. Clim.

View full text Add to dashboard Cite

Floods are major hazard in Mzuzu City, Malawi. This study applied geospatial and hydrological modeling techniques to map flood incidences and hazard in the city. Multi-sensor [Sentinel 1, Sentinel 2, and Moderate Resolution Imaging Spectroradiometer (MODIS)] Normalized Difference Vegetation Index (NDVI) datasets were used to determine the spatio-temporal variation of flood inundation. Ground control points collected using a participatory GIS mapping approach were used to validate the identified flood hazard areas. A Binary Logistic Regression (BLR) model was used to determine and predict the spatial variation of flood hazard as a function of selected environmental factors. The Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) was used to quantify the peak flow and runoff contribution needed for flood in the city. The runoff and peak flow from the HEC-HMS model were subjected to extreme value frequency analysis using the Gumbel Distribution approach before input into the Hydrologic Engineering Center River Analysis System (RAS) (HEC-RAS). The HEC-RAS model was then applied to map flood inundated areas producing flood extents maps for 100, 50, 20, and 10-year return periods, with rain-gauge and Climate Prediction Center MORPHed precipitation (CMORPH) satellite-based rainfall inputs. Results revealed that selected MODIS and Sentinel datasets were effective in delineating the spatial distribution of flood events. Distance from the river network and urban drainage are the most significant factors (p < 0.05) influencing flooding. Consequently, a relatively higher flood hazard probability and/susceptibility was noted in the south-eastern and western-most regions of the study area. The HEC-HMS model calibration (validation) showed satisfactory performance metrics of 0.7 (0.6) and similarly, the HEC-RAS model significantly performed satisfactorily as well (p < 0.05). We conclude that bias corrected satellite rainfall estimates and hydrological modeling tools can be used for flood inundation simulation especially in areas with scarce or poorly designed rain gauges such as Mzuzu City as well as those affected by climate change. These findings have important implications in informing and/updating designs of flood early warning systems and impacts mitigation plans and strategies in developing cities such as Mzuzu.

show abstract

Section: Introductionmentioning

confidence: 99%

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Gumindoga,

Liwonde,

Rwasoka

et al. 2024

Front. Clim.

View full text Add to dashboard Cite

show abstract

Disaggregated monthly SWAT+ model versus daily SWAT+ model for estimating environmental flows in Peninsular Spain

Castellanos-Osorio,

López-Ballesteros,

Pérez-Sánchez

et al. 2023

Journal of Hydrology

View full text Add to dashboard Cite

Multi-Scale Analysis of Water Purification Ecosystem Service Flow in Taihu Basin for Land Management and Ecological Compensation

Chen,

Cai

2024

Land

View full text Add to dashboard Cite

This study investigates the spatial correlation and service flow of supply and demand for water purification ecosystem services at multiple scales (i.e., the Taihu Lake Basin, sub-basin, and county) by quantitatively assessing the supply–demand relationship of nitrogen and phosphorus and introducing the SPANS algorithm to characterize the service flow paths. Through quantitative analysis, the supply–demand relationship between nitrogen and phosphorus was evaluated, and the SPANS algorithm was introduced to characterize the service flow paths. The results show that the water purification ecosystem services in the southwestern region and around Taihu Lake exhibit a good supply–demand balance, while a significant supply–demand deficit is observed in the northern and southeastern regions. Service flow analysis indicates that surplus areas are primarily concentrated in hilly and urbanized central regions, whereas deficit areas are mainly located in non-urban centers. Based on these findings, ecological compensation suggestions are proposed, including dynamic adjustment, differentiated compensation, cross-city collaboration, and guidance of social capital participation, to promote continuous improvement in water quality and sustainable development within the basin.

show abstract

Determination of Spatially-Distributed Hydrological Ecosystem Services (HESS) in the Red River Delta Using a Calibrated SWAT Model

Cited by 4 publications

References 71 publications

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Disaggregated monthly SWAT+ model versus daily SWAT+ model for estimating environmental flows in Peninsular Spain

Multi-Scale Analysis of Water Purification Ecosystem Service Flow in Taihu Basin for Land Management and Ecological Compensation

Contact Info

Product

Resources

About