Are equilibrium multichannel networks predictable? The case of the regulated Indus River, Pakistan

Carling, Paul A.; Trieu, Hai Q.; Hornby, D.D.; Huang, He Qing; Darby, Stephen E.; Sear, David; Hutton, Craig W.; Hill, Christopher T.; Ali, Zahir; Ahmed, Adeel; Iqbal, Irfan Akhtar; Hussain, Zahid

doi:10.1016/j.geomorph.2017.09.021

Cited by 13 publications

(12 citation statements)

References 41 publications

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“…We have compared the results of the present research with a similar study which was conducted previously on the upstream of the Indus River (Carling et al 2018). We noted that dry and wet channels are almost the same compared with the previous conducted study on Chashma-Taunsa reach.…”

Section: River Banks Recessionsupporting

confidence: 64%

“…We computed the average hydraulic parameters such as hydraulic resistance to flow ∼1.06, Froude number to flow ∼1.01, bed shear stress ∼10 Nm À2 , roughness coefficient ∼0.024, hydraulic radius ∼8.7 ft, Froude number ∼0.2, and sediment load by using the MEP (Shah-Fairbank 2009). The alluvial Indus River has little variations in the vegetation cover and sandy bed material from satellite images (Carling et al 2018). We have observed that width range of the LIR is from a few kilometers to 100 s of meters with a few channels up to 8 km wide, and wetted course widths .2 km remain frequent in the dry season.…”

Section: Description Of Study Basinmentioning

confidence: 80%

“…Based on the procedures mentioned earlier, we have estimated 84% flow assigned to the broadest channel, whereas the field survey shows 87% runoff. The accurate measurement is because of known values compared with previous studies (Carling et al 2018), which offers a significant difference in discharge.…”

Section: Discharge Selectionmentioning

confidence: 99%

“…The low flow channels are superimposed for five years of analysis obtained from 1986 to 2015. The channels are determined from 120 sub-reaches of 5 km length based on a previous conducted study (Carling et al 2018). It is evident that the study reach has a minimum of three and a maximum of nine channels in total for the given cross-section.…”

Section: Channel Planform Migration and General Findingsmentioning

confidence: 99%

“…The Indus River system is of deep concern because its reaches are prone to significant migration and erosion, threatening engineering structures which leads to social and environmental impacts that may be exacerbated by climatic change, land-use changes, agricultural intensification, and its banks are exposed to rapid population growth. Intense and frequent bank erosion causes significant economic and human losses, and river vulnerability studies reveal that the victims in Pakistan have been migrating and resettling in worse areas with a lack of necessities (Carling et al 2018). Therefore, study of the Indus River is very important for flood protection and water managers need to keep a sharp eye to re-evaluate the procedures for river management.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the morphological trends and sediment dynamics in the Indus River, Pakistan

Boota

Yan

Idrees

et al. 2021

Journal of Water and Climate Change

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The Lower Indus reaches – Guddu and Sukkur – are among the most complicated areas in terms of reach migration. Both climate change and human activities in recent periods along with pond system operation accelerated riverine channel morphology. A GIS-based approach using multi-temporal Landsat images (1986–2020) was employed to characterize the morphometric parameters. Results showed that width of the study reaches varied from 2.1 to 12 km. The braiding index (BI) value for Guddu reach varied from 3.47 to 7.18, and BI value for Sukkur reach varied from 2.11 to 4.92. It is observed that no erosive activity of banks occurred for peak runoff value of <5,880 m3s−1. The sediment load during low flow (LF) period was estimated to be 0.715 million tons/day which comprised 77% fine sediment and 23% sand. The sediment load during high flood (HF) period was about 1.296 million tons/day. The median size (D50) of bed material during the HF period was 0.101–0.206 mm and during LF period was <0.0625 mm. The rough set theory (RST) showed that velocity, shear stress, slope, runoff, and sediment load factors are majorly causing the river shape changes. This study is a standpoint of planning flood recovery, riverine regulations, and navigation safety.

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Section: River Banks Recessionsupporting

confidence: 64%

Section: Description Of Study Basinmentioning

confidence: 80%

Section: Discharge Selectionmentioning

confidence: 99%

Section: Channel Planform Migration and General Findingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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