Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan

Azha, Syahida Farhan; Sidek, Lariyah Mohd; Ahmad, Zainal; Zhang, Jie; Basri, Hidayah; Zawawi, Mohd Hafiz; Noh, Nurshahira Mohammad; Ahmed, Ali Najah

doi:10.1016/j.ecolind.2023.111190

Ecological Indicators

2023

DOI: 10.1016/j.ecolind.2023.111190

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Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan

Syahida Farhan Azha,

Lariyah Mohd Sidek,

Zainal Ahmad

et al.

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2024

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Cited by 7 publications

References 46 publications

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Coupling hydrological methods with ‘Flow Health’ to simulate ecological flow in the Weihe River Basin, China

Liu,

Xie,

Yang

et al. 2024

River Research & Apps

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Reducing river flows significantly affects livelihoods, ecology and industrial production. Therefore, allowing for ecological flow requirements has been applied to limiting human water consumption and is incorporated into water allocation planning. However, the unavailability of ecological data greatly limits e‐flow studies and this lack of sufficient ecosystem data is mostly addressed by using hydrological metrics as surrogates of the river ecosystem. This study employed the nine indicators of the ‘Flow Health’ model to assess river hydrological health and explore optimal ecological flow regimes. The modelling estimated the required flow and the extra flood flows of ecosystem conservation under default and custom thresholds. Ecological flows were calculated for five stations of the Weihe River through coupling with three hydrological methodologies. The index of flow deviation indicated that the flow regimes in Weihe River have partially changed from the reference period. Fish and other aquatic habitats have changed by reduced flows, but the health of the floodplain ecosystem has not been seriously affected. The ecological flow modelling results showed that the extra flow required for the ecology restoration in five stations is concentrated from July to September. The optimal ecological flows in dry seasons by coupling three hydrological methods were less than the average current flow, which is reasonable. This coupling provides ideas on how environmental flow assessments are undertaken in similar regions.

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Coupling hydrological methods with ‘Flow Health’ to simulate ecological flow in the Weihe River Basin, China

Liu,

Xie,

Yang

et al. 2024

River Research & Apps

View full text Add to dashboard Cite

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Spatiotemporal distribution of cyanobacteria in relation to water chemistry of Sutlej River, Punjab (India)

Rangra,

Singh,

Thapa

et al. 2024

Environ Monit Assess

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Water quality assessment of Dudhganga river using water quality index and anthropogenic activities

Lagade,

Taware,

Lagade

2024

Journal of Water and Climate Change

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The primary goal of this study is to analyze the magnitude of water quality of Dudhganga River seasonally and temporal using physico-chemical parameters, Weighted Arithmetic Water Quality Index (WA-WQI) and anthropogenic activities of Kolhapur District, Maharashtra. Six sampling locations along the Dudhganga River (sites I to VI) were selected for sampling and analysis. In seasonal analysis, the higher values of water parameters like pH (8.2), TDS (0.42 μs/cm), turbidity (0.14 NTU), DO (6.24 mg/l), nitrate (7.56 mg/l) and phosphate (1.78mg/l) were reported in monsoon season. Temperature, Alkalinity and hardness were noted maximum values (25 °C, 66.67 mg/l and 12.67 mg/l) during summer season. However, EC was reported maximum (64 μs/cm) in winter season. Results of WA-WQI revealed that water quality index ranged from 14.90 to 24.26 all sampling sites. The values of WA-WQI were reported higher at downstream locations like IV, V, and VI, than the upstream sites I, II, and III. Along Dudhganga River substantial various human activities were significant contributor for declining the water quality of River. The acquired results suggest that water quality status is close to becoming contaminated and unsafe for domestic and human use. Such contaminated water also poses risk to plants and animals that make up the aquatic ecosystem.

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Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan

Cited by 7 publications

References 46 publications

Coupling hydrological methods with ‘Flow Health’ to simulate ecological flow in the Weihe River Basin, China

Coupling hydrological methods with ‘Flow Health’ to simulate ecological flow in the Weihe River Basin, China

Spatiotemporal distribution of cyanobacteria in relation to water chemistry of Sutlej River, Punjab (India)

Water quality assessment of Dudhganga river using water quality index and anthropogenic activities

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