Your search found 4 records
1 Hamid, S.. 1994. Natural resource management for watershed and aridity. Islamabad, Pakistan: PARC; IWASRI; UNDP. iv, 35p.
(Location: IWMI-HQ Call no: 333.91 G730 HAM Record No: H016490)
2 Mehmood, Q.; Mehmood, W.; Awais, M.; Rashid, H.; Rizwan, M.; Anjum, L.; Muneer, M. A.; Niaz, Y.; Hamid, S.. 2020. Optimizing groundwater quality exploration for irrigation water wells using geophysical technique in semi-arid irrigated area of Pakistan. Groundwater for Sustainable Development, 11:100397. (Online first) [doi: https://doi.org/10.1016/j.gsd.2020.100397]
Groundwater ; Water quality ; Irrigation water ; Tube wells ; Semiarid zones ; Geophysics ; Techniques ; Aquifers ; Pumping ; Hydrogeology ; Models / Pakistan / Punjab / Okara District / Indus Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049764)
(1.45 MB)
Geophysical method using vertical electrical sounding (VES) technique, in combination with borehole lithological data analysis was used to locate the subsurface layers containing good quality water in District Okara, Punjab Pakistan. Ten VES surveys (VES-1-10) were conducted by utilizing the Schlumberger electrode configuration. A calibrated model was developed for the study area by integrating the resistivity and lithological data. The model showed that the study area has three geoelectric layers below the water table with resistivities 50-100 O-m, 25-50 O-m and <25 O-m describing the good, marginal and poor quality water layers respectively. Integrated data analysis show that six sites (i.e., VES-1, VES-2, VES-3, VES-5, VES-7, & VES-10) have layers of good quality water at different depths. Out of these 6 sites, 3 sites (VES-3, VES-7 and VES-10) are suitable for installing the irrigation water wells in terms of water quality and potential while the remaining three sites (VES-1, VES-2 and VES-5) were not suitable due to shallow thickness of good quality aquifer. Three sites VES-3, VES-5 and VES-10 were selected for drilling in order to validate the modeled results, samples were collected from each 1.5–3.0 m depth for the laboratory analysis. The results showed that the resistivity data were in close agreement with the lithological data and VES-10 was most suitable for groundwater extraction. An Irrigation tube-well was installed at VES-10 and its quality was monitored for one year which showed successful supply of groundwater in terms of quality and potential.
3 Ijaz, M. A.; Ashraf, M.; Hamid, S.; Niaz, Y.; Waqas, M. M.; Tariq, M. A. U. R.; Saifullah, M.; Bhatti, Muhammad Tousif; Tahir, A. A.; Ikram, K.; Shafeeque, M.; Ng, A. W. M. 2022. Prediction of sediment yield in a data-scarce river catchment at the sub-basin scale using gridded precipitation datasets. Water, 14(9):1480. (Special issue: Innovate Approaches to Sustainable Water Resource Management under Population Growth, Lifestyle Improvements, and Climate Change) [doi: https://doi.org/10.3390/w14091480]
Sediment yield ; Forecasting ; River basins ; Catchment areas ; Precipitation ; Datasets ; Hydrological modelling ; Watershed management ; Dams ; Runoff ; Sediment load ; Soil erosion ; Soil types ; Land use ; Rain ; Semiarid zones ; Spatial distribution / Pakistan / Gomal River Catchment / Kot Murtaza Barrage / Gomal Zam Dam
(Location: IWMI HQ Call no: e-copy only Record No: H051151)
https://www.mdpi.com/2073-4441/14/9/1480/pdf?version=1652347380
https://vlibrary.iwmi.org/pdf/H051151.pdf
https://vlibrary.iwmi.org/pdf/H051151.pdf
(2.15 MB) (2.15 MB)
Water-related soil erosion is a major environmental concern for catchments with barren topography in arid and semi-arid regions. With the growing interest in irrigation infrastructure development in arid regions, the current study investigates the runoff and sediment yield for the Gomal River catchment, Pakistan. Data from a precipitation gauge and gridded products (i.e., GPCC, CFSR, and TRMM) were used as input for the SWAT model to simulate runoff and sediment yield. TRMM shows a good agreement with the data of the precipitation gauge (˜1%) during the study period, i.e., 2004–2009. However, model simulations show that the GPCC data predicts runoff better than the other gridded precipitation datasets. Similarly, sediment yield predicted with the GPCC precipitation data was in good agreement with the computed one at the gauging site (only 3% overestimated) for the study period. Moreover, GPCC overestimated the sediment yield during some years despite the underestimation of flows from the catchment. The relationship of sediment yields predicted at the sub-basin level using the gauge and GPCC precipitation datasets revealed a good correlation (R2 = 0.65) and helped identify locations for precipitation gauging sites in the catchment area. The results at the sub-basin level showed that the sub-basin located downstream of the dam site contributes three (3) times more sediment yield (i.e., 4.1%) at the barrage than its corresponding area. The findings of the study show the potential usefulness of the GPCC precipitation data for the computation of sediment yield and its spatial distribution over data-scarce catchments. The computations of sediment yield at a spatial scale provide valuable information for deciding watershed management strategies at the sub-basin level.
4 Rizwan, M.; Li, X.; Chen, Y.; Anjum, L.; Hamid, S.; Yamin, M.; Chauhdary, J. N.; Shahid, M. A.; Mehmood, Q. 2023. Simulating future flood risks under climate change in the source region of the Indus River. Journal of Flood Risk Management, 16(1):e12857. [doi: https://doi.org/10.1111/jfr3.12857]
Climate change ; Flooding ; Risk ; Precipitation ; Stream flow ; Land cover ; Climate models ; Aquifer / Pakistan / India / Afghanistan / Upper Indus River Basin / Jhelum River Basin / Kabul River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051719)
https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.12857
https://vlibrary.iwmi.org/pdf/H051719.pdf
https://vlibrary.iwmi.org/pdf/H051719.pdf
(7.52 MB) (7.52 MB)
Pakistan experiences extreme flood events almost every year during the monsoon season. Recently, flood events have become more disastrous as their frequency and magnitude have increased due to climate change. This situation is further worsened due to the limited capacity of existing water reservoirs and their ability to absorb and mitigate peak floods. Thus, the simulation of stream flows using projected data from climate models is essential to assess flood events and proper water resource management in the country. This study investigates the future floods (in near future and far future periods) using the integrated flood analysis system (IFAS) model under the RCP2.6, RCP4.5, and RCP8.5 climate change scenarios. Downscaled and bias corrected climatic data of six general circulation models and their ensemble were used in this study. The IFAS model simulated the stream flow efficiently (R2 = 0.86–0.93 and Nash–Sutcliffe efficiency = 0.72–0.92) in the Jhelum River basin (JRB), Kabul River basin (KRB), and upper Indus River basin (UIRB) during the calibration and validation periods. The simulation results of the model showed significant impact of projected climate change on stream flows that will cause the mean monthly stream flow in the JRB to be lower, while that of the KRB and UIRB to be higher than that of the historical period. The highest flow months are expected to shift from May–June (Jhelum basin) and June–July (Kabul basin) to April–May with no changes in the UIRB. Higher frequencies of low to medium floods are projected in the KRB and UIRB, while the JRB expects fewer flood events. Based on the results from the IFAS model, it is concluded that stream flow in the study area will increase with several flood events.
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