Your search found 4 records
1 Ghafoor, A.; Rizwan, M.; Murtaza, G. 2000. Utilization of brackish waters for reclaiming different textured saline-sodic soils having different EC to sodium absorption ratios. In Water and Power Development Authority (WAPDA); Mehran University of Engineering and Technology (MUET); International Waterlogging and Salinity Research Institute (IWASRI); International Irrigation Management Institute (IIMI). Proceedings, National Seminar on Drainage in Pakistan, Jamshoro, Pakistan, 16-18 August 2000. [Vol. 1] Lahore, Pakistan: Water and Power Development Authority (WAPDA); Sindh, Pakistan: Mehran University of Engineering and Technology (MUET); Lahore, Pakistan: International Waterlogging and Salinity Research Institute (IWASRI); Lahore, Pakistan: International Irrigation Management Institute (IIMI). pp.121-128.
Soil reclamation ; Soil salinity ; Sodic soils ; Soil texture ; Water quality ; Lysimetry ; Leaching / Pakistan
(Location: IWMI-HQ Call no: IIMI 631.62 G730 IIM Record No: H027123)
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 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.
4 de Albuquerque, J. P.; Anderson, L.; Calvillo, N.; Cattino, M.; Clarke, A.; Cunha, M. A.; Degrossi, L. C.; Garde-Hansen, J.; Klonner, C.; Lima-Silva, F.; Marchezini, V.; Martins, M. H. da M.; Grajales, D. P.; Pitidis, V.; Rizwan, M.; Tkacz, N.; Trajber, R. 2023. Dialogic data innovations for sustainability transformations and flood resilience: the case for waterproofing data. Global Environmental Change, 82:102730. [doi: https://doi.org/10.1016/j.gloenvcha.2023.102730]
Flooding ; Resilience ; Innovation ; Sustainability ; Transformation ; Climate change adaptation ; Disaster risk management ; Participatory approaches ; Transdisciplinary research ; Risk management ; Social groups ; Decision making / Brazil
(Location: IWMI HQ Call no: e-copy only Record No: H052356)
https://www.sciencedirect.com/science/article/pii/S0959378023000961/pdfft?md5=f9f134a0b9a84cff71a8953317d5c104&pid=1-s2.0-S0959378023000961-main.pdf
https://vlibrary.iwmi.org/pdf/H052356.pdf
https://vlibrary.iwmi.org/pdf/H052356.pdf
(13.10 MB) (13.1 MB)
Extreme weather events are becoming more frequent and have increasing impacts, which disproportionately affect marginalised and impoverished communities. This article proposes and assesses a new methodological approach for developing innovative solutions based on urban data analytics to address sustainability challenges in light of changing climate conditions. The approach draws inspiration from Paulo Freire's dialogic pedagogy and has been implemented in the international transdisciplinary project “Waterproofing Data”, with multiple study sites in Brazil. The project has introduced three methodological interventions: making data practices visible, engaging citizens and communities with data, and sharing data stories. Our study demonstrates that these methods have expanded the types of data used in flood risk management and have engaged a wider range of social groups in the generation, circulation, and utilization of data. We present a framework that provides guidance about the ways in which data innovations can contribute to transformative change, aiming to ensure that future development trajectories are just, inclusive, and equitable. The findings provide evidence that our approach not only helps fill existing data gaps and promote more equitable flood risk governance but also democratises decision-making in climate adaptation. Citizens were empowered to take proactive measures to improve resilience to disaster risks, thereby saving lives and safeguarding livelihoods.
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