Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

Usman, Muhammad; Ndehedehe, Christopher E.; Ahmad, Bashir; Adeyeri, Oluwafemi E.

doi:10.3390/atmos12060792

Cited by 14 publications

(4 citation statements)

References 49 publications

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“…The HBV model [25,26] is a conceptual, semi-distributed hydrological model and HBVlight (version 4.0.0.24) is the version developed by Seibert and Vis [27]. It is a widely used model and its performance has been evaluated in many climatically diverse catchments around the globe [28][29][30][31]. The HBV-light was used in this study to simulate daily streamflow for each catchment.…”

Section: Description Of Observed Data Pps and The Hydrological Modelmentioning

confidence: 99%

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Usman¹,

Ndehedehe

Farah

et al. 2022

Water

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Management of the freshwater resources in a sustained manner requires the information and understanding of the surface water hydrology and streamflow is of key importance in this nexus. This study evaluates the performance of eight different precipitation products (APHRODITE, CHRS CCS, CHRS CDR, CHIRPS, CPC Global, GPCC, GPCP, and PERSIANN) for streamflow prediction in two sub-catchments (Chirah and Dhoke Pathan) of the data-scarce Soan River Basin (SRB) in Pakistan. A modified version of the hydrological model HBV (Hydrologiska Byråns Vattenbalansavdelning) known as HBV-light was used to generate streamflow. The model was separately calibrated and validated with observed and estimated precipitation data for streamflow simulation with optimized parameterization. The values of R2, NSE, KGE and PBIAS obtained during the calibration (validation) period for the Chirah sub-catchment were 0.64, 0.64, 0.68 and −5.6% (0.82, 0.81, 0.88 and 7.4%). On the other hand, values of R2, NSE, KGE, and PBIAS obtained during the calibration (validation) period for the Dhoke Pathan sub-catchment were 0.85, 0.85, 0.87, and −3.4% (0.82, 0.7, 0.73 and 6.9%). Different ranges of values were assigned to multiple efficiency evaluation metrics and the performance of precipitation products was assessed. Generally, we found that the performance of the precipitation products was improved (higher metrics values) with increasing temporal and spatial scale. However, our results showed that APHRODITE was the only precipitation product that outperformed other products in simulating observed streamflow at both temporal scales for both Chirah and Dhoke Pathan sub-catchments. These results suggest that with the long-term availability of continuous precipitation records with fine temporal and spatial resolutions, APHRODITE has the high potential to be used for streamflow prediction in this semi-arid river basin. Other products that performed better were GPCC, GPCP, and CHRS CCS; however, their scope was limited either to one catchment or a specific time scale. These results will also help better understand surface water hydrology and in turn, would be useful for better management of the water resources.

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Section: Description Of Observed Data Pps and The Hydrological Modelmentioning

confidence: 99%

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Usman¹,

Ndehedehe

Farah

et al. 2022

Water

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“…assessed the effects of climate change on streamflow and found a 10%-15% increase in the mean annual flow in the transboundary Jhelum River Basin of Pakistan and India. Usman et al (2021) assessed the impacts of climate change on streamflow under various RCP scenarios, and Shahid et al (2018) found that streamflow will decrease in the Soan River Basin, Pakistan. Anjum et al (2019) found that climate change will enhance the annual average flow under various RCP scenarios.…”

Section: Introductionmentioning

confidence: 99%

Divergent path: isolating land use and climate change impact on river runoff

Mahmood,

Khan,

Babur

et al. 2024

Front. Environ. Sci.

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Water resource management requires a thorough examination of how land use and climate change affect streamflow; however, the potential impacts of land-use changes are frequently ignored. Therefore, the principal goal of this study is to isolate the effects of anticipated climate and land-use changes on streamflow at the Indus River, Besham, Pakistan, using the Soil and Water Assessment Tool (SWAT). The multimodal ensemble (MME) of 11 general circulation models (GCMs) under two shared socioeconomic pathways (SSPs) 245 and 585 was computed using the Taylor skill score (TSS) and rating metric (RM). Future land use was predicted using the cellular automata artificial neural network (CA-ANN). The impacts of climate change and land-use change were assessed on streamflow under various SSPs and land-use scenarios. To calibrate and validate the SWAT model, the historical record (1991–2013) was divided into the following two parts: calibration (1991–2006) and validation (2007–2013). The SWAT model performed well in simulating streamflow with NSE, R2, and RSR values during the calibration and validation phases, which are 0.77, 0.79, and 0.48 and 0.76, 0.78, and 0.49, respectively. The results show that climate change (97.47%) has a greater effect on river runoff than land-use change (2.53%). Moreover, the impact of SSP585 (5.84%–19.42%) is higher than that of SSP245 (1.58%–4%). The computed impacts of climate and land-use changes are recommended to be incorporated into water policies to bring sustainability to the water environment.

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“…Mann-Kendall trend test was used to analyse the changing trend of ET 0 , ET a and P e . Usman et al 2021 [5] used surface energy balance system model to estimate Ea and FAO-56 Penman-Monteith method to estimate ET 0 and comparison between them.…”

Section: Introductionmentioning

confidence: 99%

Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis

Londhe

Kapgate

Katpatal

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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In India, largest user of the water is agriculture sector is the, so it is important to do the proper management of available water. Aim of this study to estimate crop water requirements (CWR) for Kharif and Rabi seasons within Wainganga sub-basin by using remote sensing and GIS technique. For this, reference evapotranspiration (ET0) is estimated by using the Food and Agricultural Organization (FAO) Penman-Monteith method. Weather data from 8 weather stations has been collected to estimate ET0. The crop coefficient (KC) is estimated by using linear relationship with Normalized Difference Vegetation Index (NDVI). The MODIS NDVI dataset is used for calculation of crop coefficient. The effective precipitation (Pe) has been calculated to estimate CWR by using FAO recommended empirical method. The spatial variation maps for ET0, KC, actual evapotranspiration (ETa) and CWR are generated using Inverse Distance Weightage (IDW) interpolation technique in ArcGIS software. The results show that ET0 and ETa are higher in Kharif season than the Rabi season. The KC is also found higher in kharif than in rabi. Since the Pe is negligible in Rabi season, CWR in Rabi season is found to be higher than kharif season. The CWR in Rabi varies between 320 mm to 378 mm and in kharif season it varies between 94 mm to 263 mm. It is concluded that the seasonal estimation of CWR helps in understanding the peak water demand in that season in better way. It is required to provide sufficient irrigation to the crops in Rabi season especially as the agricultural production completely depends on the irrigation facilities in the study area because there is no rainfall in this season.

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Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

Cited by 14 publications

References 49 publications

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Divergent path: isolating land use and climate change impact on river runoff

Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis

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