The effect of water extraction time from the river on the performance of off-stream reservoirs

Zahraei, Ali; Eslamian, Saeid; Saadati, Sara

doi:10.1504/ijhst.2016.077402

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…With respect to Central Plateau primary hydrological basin, it accommodates more than 50% of the country's population, lodges many of big industries and is the country's agricultural hub. In addition, this basin is a hotspot with respect to inter-basin water transfer projects in Iran (Gohari et al, 2013;Zahraei et al, 2016;Roozbahani et al, 2020). All these anthropogenic stressors have limited surface water availability in these regions, leading to transformation of some perennial rivers to seasonal rivers (e.g., Zayandeh-Rud as one of the most water-rich river in Iran).…”

Section: Decline In Monthly Dischargementioning

confidence: 99%

Spatiotemporal Changes in Iranian Rivers’ Discharge

Maghrebi

Noori

Mehr

et al. 2023

Preprint

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Trends in river flow at national scale in Iran remain largely unclear, despite good coverage of river flow at multiple monitoring stations. To address this gap, this study explores the changes in Iranian rivers’ discharge using regression and analysis of variance methods to historically rich data measured at hydrometric stations. Our assessment is performed for 139 selected hydrometric stations located in Iranian data-rich basins that cover around 97% of the country’s rivers with more than 30 years of observations. Our findings show that most of Iran’s rivers (>56%) have undergone a downward trend (p–value <0.1) in mean annual flow that is 2.5 times bigger than that obtained for world’s rivers, resulting in a change from permanent to intermittent for around 20% of rivers in Iran’s sub-basins. Given no significant change observed in the main natural drivers of Iranian rivers’ discharge, these findings reveal the country’s surface fresh-water shortage was caused dominantly by anthropogenic disturbances rather than variability in climate parameters. It may even indicate the development of new river regimes with deep implications for future surface fresh-water storage in the country. This research’s findings improve our understanding of changes in Iranian rivers’ discharge and provide beneficial insights for sustainable management of water resources in the country.

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Section: Decline In Monthly Dischargementioning

confidence: 99%

Spatiotemporal Changes in Iranian Rivers’ Discharge

Maghrebi

Noori

Mehr

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Water extraction is significant because water plays a vital role in ecological balance (Parveen et al, 2016) and conservation of water sources (Zahraei et al, 2016) is a major task. Water resources management and continuous monitoring are essential for the reason that water always appears diverse (Qiao et al, 2012) in nature and is present on surface as well underground.…”

Section: Introductionmentioning

confidence: 99%

Colour transformed clustering-based water body extraction using IRS-1C LISS III image

Parveen

Kulkarni

Mytri³

2019

IJSTDS

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The algorithm presented in this research article extracts and delineates the water areas using IRS-1C LISS III images. Methods available in the literature are biased with user-defined thresholds. The objective of the proposed algorithm is to provide accurate information about surface water. Initially, the input image is subjected to colour transformation clustering to extract all the similar hydrological characteristics geo-spatial features in the picture. Every cluster is then submitted to surface water detection by considering spectral information. Finally, the surface water bodies are outlined with sharp inter-regional boundaries and made visually vibrant. Thus the task of identification of water bodies is made simple, accurate and easy for the user with satisfactory qualitative analysis. Results obtained are compared with statistics obtained by structural filtering, NDVI method, and spectral segmentation method. The excellent potential surface water areas can be extracted by using the proposed method. . Her main interesting research areas are digital image processing, geo-spatial information science, satellite image analysis and geo-spatial feature extraction.Colour transformed clustering-based water body extraction 85

show abstract

Spatiotemporal changes in Iranian rivers’ discharge

Maghrebi

Noori

Mehr

et al. 2023

Elementa: Science of the Anthropocene

View full text Add to dashboard Cite

Trends in river flow at national scale in Iran remain largely unclear, despite good coverage of river flow at multiple monitoring stations. To address this gap, this study explores the changes in Iranian rivers’ discharge using regression and analysis of variance methods to historically rich data measured at hydrometric stations. Our assessment is performed for 139 selected hydrometric stations located in Iranian data-rich basins that cover around 97% of the country’s rivers with more than 30 years of observations. Our findings show that most of the studied Iran’s rivers (>56%) have undergone a downward trend (P value < 0.1) in mean annual flow that is 2.5 times bigger than that obtained for the large world’s rivers, resulting in a change from permanent to intermittent for around 20% of rivers in Iran’s subbasins. Given no significant change observed in the main natural drivers of Iranian rivers’ discharge, these findings reveal the country’s surface fresh-water shortage was caused dominantly by anthropogenic disturbances rather than variability in climate parameters. It may even indicate the development of new river regimes with deep implications for future surface fresh-water storage in the country. This research’s findings improve our understanding of changes in Iranian rivers’ discharge and provide beneficial insights for sustainable management of water resources in the country.

show abstract

The effect of water extraction time from the river on the performance of off-stream reservoirs

Cited by 3 publications

References 3 publications

Spatiotemporal Changes in Iranian Rivers’ Discharge

Spatiotemporal Changes in Iranian Rivers’ Discharge

Colour transformed clustering-based water body extraction using IRS-1C LISS III image

Spatiotemporal changes in Iranian rivers’ discharge

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