Your search found 6 records
1 Warraich, Z. U. 2000. Lower Chanab Canal (East) Pilot Area Water Board: A step toward devolution of power. In Mirza, Z. I.; Saeed, S. (Comp.), Institutional reforms in irrigation sector of Punjab, Pakistan: Proceedings of Workshop held at Faisalabad Serena on 10-11 February 2000. Lahore, Pakistan: IWMI; Punjab Irrigation and Drainage Authority. pp.69-72.
(Location: IWMI-HQ Call no: IIMI 631.7.3 G730 MIR Record No: H026322)
2 Jehangir, Waqar A.; Hussain, Intizar; Ashfaq, Muhammad; Mudasser, Muhammad. 2004. Poverty across districts in irrigated Punjab, Pakistan. In Jehangir, Waqar A.; Hussain, Intizar (Eds.). Poverty reduction through improved agricultural water management. Proceedings of the Workshop on Pro-poor Intervention Strategies in Irrigated Agriculture in Asia, Islamabad, Pakistan, 23-24 April 2003. Lahore, Pakistan: International Water Management Institute (IWMI). pp.31-45.
Poverty ; Indicators ; Irrigation systems ; Irrigation canals ; Households / Pakistan / Punjab / Upper Chaj Doab / Upper Jehlum Canal / Lower Chaj Doab / Rechna Doab / Lower Chenab Canal / Hakra Irrigation System
Call no: IWMI 631.7.3 G730 JEH Record No: H033299)
(0.20 MB)
3 Jehangir, Waqar; Qureshi, Asad Sarwar; Ali, Nazim. 2002. Conjunctive water management in the Rechna Doab: An overview of resources and issues. Lahore, Pakistan: International Water Management Institute (IWMI) v, 55p. (IWMI Working Paper 048 / Pakistan Country Series No.13) [doi: https://doi.org/10.3910/2009.287]
Water management ; Conjunctive use ; Surface water ; Groundwater ; Aquifers ; Pumping ; Water quality ; River basins ; Productivity ; Canals ; Waterlogging ; Salinity ; Land resources ; Land use ; Crop production ; Rice ; Wheat ; Cotton ; Sugarcane / Pakistan / Rechna Doab / Upper Chenab Canal / Lower Chenab Canal
(Location: IWMI-HQ Call no: IWMI 631.7 G730 JEH Record No: H038778)
(772 KB)
4 Usman, M.; Qamar, M. U.; Becker, R.; Zaman, M.; Conrad, C.; Salim, S. 2020. Numerical modelling and remote sensing based approaches for investigating groundwater dynamics under changing land-use and climate in the agricultural region of Pakistan. Journal of Hydrology, 581:124408. [doi: https://doi.org/10.1016/j.jhydrol.2019.124408]
Groundwater table ; Groundwater recharge ; Climate change ; Land use change ; Remote sensing ; Modelling ; Water balance ; Land cover ; Water use ; Precipitation ; Evapotranspiration ; Emission ; Irrigation systems / Pakistan / Punjab / Lower Chenab Canal
(Location: IWMI HQ Call no: e-copy only Record No: H049553)
(6.51 MB)
The shrinking groundwater resource is a major cause of ecosystem imbalance, which is further intensified by rapid changes in land use and land cover (LULC) and climate in the lower Chenab canal (LCC) of Pakistan. Present study aims to investigate groundwater dynamics using a novel approach by incorporating remote sensing data in combination with actual patterns of LULC, while statistical approach is employed for downscaling of climatic data under two emission scenarios including H3A2 and H3B2. A 3-D numerical groundwater flow model is used for evaluating current patterns of groundwater use and its dynamics. The results of water budget show a total horizontal groundwater inflow of 2844 Mm3 and an outflow of 2720.2 Mm3. The groundwater abstraction through pumping is about 17374.43 Mm3 as compared to groundwater recharge of 19933.20 Mm3, yields a surplus of 2682.87 Mm3, which raises groundwater levels in major parts of LCC. Change in rice cultivation has the highest impact on groundwater levels in upper regions of LCC, whereas higher negative changes are observed for lower parts under decreased fodder area in place of rice, cotton and sugarcane. For climate scenarios, a rise in groundwater level is observed for 2011 to 2025, whereas, its drop is expected for the periods 2026–2035 and 2036–2045 under H3A2 scenario. Due to no imminent threats to groundwater, there is an opportunity for groundwater development through water re-allocation. Groundwater status under H3B2 emission regime is rather complex during 2011–2025. Water management under such situation requires revisiting of cropping patterns and augmenting water supply through additional surface water resources. Considering the limitations of the current study, it is recommended to update model with river flow under changing climate, and to extend investigations for combined effects of LULC and climate change.
5 Ejaz, F.; Stefan, C.; Fatkhutdinov, A.; Usman, M. 2020. Integration of raster based irrigation and groundwater for water management in Punjab, Pakistan: a modeling and GIS based approach. International Journal of Water Resources and Arid Environments, 9(1):56-70.
Irrigation systems ; Water management ; Groundwater recharge ; Groundwater extraction ; Geographical information systems ; Water resources ; Groundwater table ; Water balance ; Water supply ; Canals ; Cropping patterns ; Evapotranspiration ; Rain ; Precipitation ; Decision support systems ; Models / Pakistan / Punjab / Lower Chenab Canal / Bhagat / Sultanpur
(Location: IWMI HQ Call no: e-copy only Record No: H049990)
(1.07 MB) (1.07 MB)
In Pakistan, groundwater resources are depleting because of its unaccounted use for agricultural purposes. Its sustainable management will play a vital role in the socio-economic development which would be possible by developing a flexible groundwater modelling system which has the ability to incorporate all the natural processes responsible for groundwater dynamics. With this in mind, a Decision Support System (DSS) based on multi-source vector and raster data has been developed. Raster based groundwater simulations on monthly temporal resolutions have been carried out, which incorporates all the natural processes by using groundwater flow model (i.e. r.gwflow). The developed DSS is tested for two irrigation sub-divisions (Bhagat & Sultanpur) located in Rechna Doab, Punjab, Pakistan. Groundwater balance in the region has been analyzed for the recent cropping conditions and simulations were performed for different interventions in irrigation and cropping practices. The modeling results indicate that, maximum groundwater abstraction has been observed in the months of May and June, exceeding 250 Mm . Out of total crop consumptive water, 51% is fulfilled by 3 canal water supply only. The best cropping practice with reference to maximum saving in groundwater resource is the cultivation of cotton, fodder (millet) during kharif cropping season and cultivation of wheat, fodder (oats, barley) during the rabi cropping season
6 Shafeeque, Muhammad; Hafeez, Mohsin; Sarwar, A.; Arshad, A.; Khurshid, T.; Asim, M. I.; Ali, S.; Dilawar, A. 2024. Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin. Theoretical and Applied Climatology, 155(1):187-204. [doi: https://doi.org/10.1007/s00704-023-04621-y]
Water conservation ; Climate change ; Groundwater recharge ; River basins ; Irrigation systems ; Irrigation efficiency ; Water resources ; Water management ; Energy balance ; Artificial recharge ; Water availability ; Projections ; Models / Pakistan / Indus River Basin / Lower Chenab Canal
(Location: IWMI HQ Call no: e-copy only Record No: H052239)
https://link.springer.com/content/pdf/10.1007/s00704-023-04621-y.pdf?pdf=button
https://vlibrary.iwmi.org/pdf/H052239.pdf
https://vlibrary.iwmi.org/pdf/H052239.pdf
(4.31 MB) (4.31 MB)
Quantifying water-saving potential (WSP) is crucial for sustainable water resource management in canal command areas and river basins. Previous studies have partially or fully ignored the importance of groundwater in WSP assessments, particularly in irrigated areas. This study is aimed at quantifying WSP in the Lower Chenab Canal (LCC) command area of the Indus River Basin, Pakistan, under various scenarios of future climate change and groundwater recharge. These quantifications are conducted using an empirical model based on the Budyko theory. The model was forced using observed, remote sensing, and CMIP6 future climate data for two Shared Socioeconomic Pathways (SSP245 and SSP585) and their ensembles (cold-dry, cold-wet, warm-dry, and warm-wet) for possible futures. The results showed that the average WSP in the LCC command area was 466 ± 48 mm/year during the historical period (2001–2020). The WSP is projected to decrease by – 68 ± 3% under the warm-dry ensemble scenario (SSP245 and SSP585) and – 48 ± 13% under the ensembled cold-wet scenario by 2100. The results also demonstrated that WSP could be increased by up to 70 ± 9% by artificially recharging 20% of the abstracted groundwater per year in the LCC command area by the late twenty-first century. Our findings highlight the importance of adopting artificial groundwater recharge to enhance the WSP and sustainably manage water resources in the LCC command area. Policymakers should consider these findings when deciding on water resource management in the Indus River Basin.
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