Evaluating Morphometric Parameters of Haro River Drainage Basin in Northern Pakistan

Sanaullah, Muhammad; Ahmad, Iftikhar; Arslan, Muhammad; Ahmad, Sajid Rashid; Zeeshan, Muhammad

doi:10.15244/pjoes/68425

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…At Jabri, the Lora Haro merges into Stora Haro. Haro River flows through narrow and deep gorges and is dammed at Khanpur [20] (Figure 1). The Dam was built in 1983 with the primary purpose of supplying drinking water to Islamabad and Rawalpindi as well as to the industrial units at Taxila.…”

Section: Study Areamentioning

confidence: 99%

Impact Assessment of Future Climate Change on Streamflows Upstream of Khanpur Dam, Pakistan using Soil and Water Assessment Tool

Nauman

Zulkafli

Ghazali

et al. 2019

Water

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The study aims to evaluate the long-term changes in meteorological parameters and to quantify their impacts on water resources of the Haro River watershed located on the upstream side of Khanpur Dam in Pakistan. The climate data was obtained from the NASA Earth Exchange Global Daily Downscaled Projection (NEX-GDDP) for MIROC-ESM model under two Representative Concentration Pathway (RCP) scenarios. The model data was bias corrected and the performance of the bias correction was assessed statistically. Soil and Water Assessment Tool was used for the hydrological simulation of watershed followed by model calibration using Sequential Uncertainty Fitting version-2. The study is useful for devising strategies for future management of Khanpur Dam. The study indicated that in the future, at Murree station (P-1), the maximum temperature, minimum temperature and precipitation were anticipated to increase from 3.1 °C (RCP 4.5) to 4.0 °C (RCP 8.5), 3.2 °C (RCP 4.5) to 4.3 °C (RCP 8.5) and 8.6% to 13.5% respectively, in comparison to the baseline period. Similarly, at Islamabad station (P-2), the maximum temperature, minimum temperature and precipitation were projected to increase from 3.3 °C (RCP 4.5) to 4.1 °C (RCP 8.5), 3.3 °C (RCP 4.5) to 4.2 °C (RCP 8.5) and 14.0% to 21.2% respectively compared to baseline period. The streamflows at Haro River basin were expected to rise from 8.7 m3/s to 9.3 m3/s.

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Section: Study Areamentioning

confidence: 99%

Impact Assessment of Future Climate Change on Streamflows Upstream of Khanpur Dam, Pakistan using Soil and Water Assessment Tool

Nauman

Zulkafli

Ghazali

et al. 2019

Water

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“…The terms h and S m represent the pressure head (30 mm) and the average water entry suction (3.12), respectively [31,32]. Z is the depth of the sandy layer; this term was set to 250 mm here based on the site surveys.…”

Section: Steady Infiltration Ratementioning

confidence: 99%

“…Various studies focusing on the quantification and evaluation of basin morphometric parameters have highlighted that an increase in the stream order class can substantially improve the water storage capacity of the catchment area [28][29][30]. Furthermore, expanding significant basin features such as Area (A) and Perimeter (P) directly contributes to the increase in stream numbers, thus promoting a rise in stream orders [31]. Therefore, considering the common occurrence of small and fragmented basins in park green spaces, adjustments in elevation that connect and expand these smaller basins into a larger one could effectively enhance water storage capacity.…”

Section: Analysis Of the Impact Of Basin Features On Surface Runoff A...mentioning

confidence: 99%

A Theoretical Nonlinear Regression Model of Rainfall Surface Flow Accumulation and Basin Features in Park-Scale Urban Green Spaces Based on LiDAR Data

Huang

Tian

Wei

et al. 2023

Water

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Green infrastructure is imperative for efficiently mitigating flood disasters in urban areas. However, inadequate green space planning under rapid urbanization is a critical issue faced by most Chinese cities. Aimed at theoretically understanding the rainwater storage capacity and improvement potential of urban green spaces, a synthetic simulation model was developed to quantify rainfall surface flow accumulation (FA) based on the morphological factors of a flow basin: the area, circumference, maximum basin length, and stream length sum. This model consisted of applying the Urban Forest Effects-Hydrology model (UFORE-Hydro) to simulate the actual precipitation-to-surface runoff ratio through a procedure involving canopy interception, soil infiltration, and evaporation; additionally, a relatively accurate multiple flow direction-maximum downslope (MFD-md) algorithm was applied to distribute the surface flow in a highly realistic manner, and a self-built “extraction algorithm” extracted the surface runoff corresponding to each studied basin alongside four fundamental morphological parameters. The various nonlinear regression functions were assessed from both univariable and multivariable perspectives. We determined that the Gompertz function was optimal for predicting the theoretical quantification of surface FA according to the morphological features of any given basin. This article provides parametric vertical design guidance for improving the rainwater storage capacities of urban green spaces.

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Trend analysis of hydro-meteorological variables of Islamabad, Pakistan: a spatio-temporal view from Pothohar region

Khalid

Naz

Rahman

et al. 2023

Meteorol Atmos Phys

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Evaluating Morphometric Parameters of Haro River Drainage Basin in Northern Pakistan

Cited by 4 publications

References 10 publications

Impact Assessment of Future Climate Change on Streamflows Upstream of Khanpur Dam, Pakistan using Soil and Water Assessment Tool

Impact Assessment of Future Climate Change on Streamflows Upstream of Khanpur Dam, Pakistan using Soil and Water Assessment Tool

A Theoretical Nonlinear Regression Model of Rainfall Surface Flow Accumulation and Basin Features in Park-Scale Urban Green Spaces Based on LiDAR Data

Trend analysis of hydro-meteorological variables of Islamabad, Pakistan: a spatio-temporal view from Pothohar region

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