Your search found 6 records
1 Hussain, N.; Khan, G. D.; Mehdi, S. M.; Sarwar, G.; Dogar, M. S.; Hussain, T. 1995. Use of brackish water for sustained crop production. In Lamm, F. R. (Ed.), Microirrigation for a changing world: Conserving resources/preserving the environment: Proceedings of the Fifth International Microirrigation Congress, Hyatt Regency Orlando, Orlando, Florida, April 2-6, 1995. St. Joseph, MI, USA: ASAE. pp.129-134.
Crop production ; Water quality ; Salinity ; Conjunctive use ; Soil properties ; Lysimetry ; Rice ; Wheat ; Crop yield / Pakistan
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018837)
2 Hussain, N.; Mujeeb, F.; Sarwar, G.; Hassan G.; Ullah, M. K. 2002. Soil salinity / sodicity and ground water quality changes in relation to rainfall and reclamation activities. In Qureshi, A. S.; Bhatti, A.; Jehangir, W. A. (Eds.), Sustaining surface and groundwater resources: Proceedings of the International Workshop on Conjunctive Water Management for Sustainable Irrigated Agriculture in South Asia, Lahore, Pakistan, April 16-17, 2002. Lahore, Pakistan: IWMI. pp.91-99.
Soil salinity ; Sodic soils ; Soil reclamation ; Groundwater ; Water quality ; Rain ; Evaporation / Pakistan
(Location: IWMI-HQ Call no: IWMI 631.7.1 G570 QUR Record No: H031195)
(0.42)
3 Hussain, N.; Sarwar, G.; Zaka, M. A.; Tahir, M.; Mujeeb, F. 2002. Strategies for alleviation of harmful effects of brackish water. In Second South Asia Water Forum, Islamabad, Pakistan, 14-16 December 2002 – Proceedings, vol.2. pp.631-640.
Water quality ; Water use ; Risks ; Groundwater ; Irrigation water ; Analysis / South Asia / India / Pakistan
(Location: IWMI-HQ Call no: IWMI 631.7.5 G730 HUS Record No: H031839)
4 Khan, M. A.; Hussain, N.. 2004. Poverty trends in the 1990s and poverty reduction strategy for 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.109-121.
(Location: IWMI HQ Call no: IWMI 631.7.3 G730 JEH Record No: H043762)
This paper tries to draw trends of poverty in the country over the decade of 90s and highlights the salient features of the strategy being followed in the country for the purpose of its reduction. The paper is divided into three sections. Section I gives the theoretical background of poverty, while Section II discusses the same in the context of Pakistan: explaining the methodology being followed for the estimation of official poverty line, along with the calculation of poverty indices and the regional as well as overall poverty trends in the country over the decade of 90s. In this respect, HIES/PIHS 992-93, 93-94, 96-97 and 98-99 data series has been utilized. The reasons for the changing trend of poverty over this period are also highlighted. Section III explains the framework and the strategy being followed by the government for poverty reduction in Pakistan.
5 Abbas, A.; Khan, S.; Hussain, N.; Hanjra, M. A.; Akbar, S. 2011. Characterizing soil salinity in irrigated agriculture using a remote sensing approach. Physics and Chemistry of the Earth, 10p. (Online first). [doi: https://doi.org/10.1016/j.pce.2010.12.00]
Soil salinity ; Irrigated farming ; Land use ; Remote sensing ; Satellite surveys ; Waterlogging ; Reclamation ; Groundwater ; Water quality ; Water table ; Environmental effects / Pakistan / Indus Basin / Faisalabad / Punjab
(Location: IWMI HQ Call no: e-copy only Record No: H045614)
(1.72 MB)
Managing salinity in irrigated agriculture is crucial for minimising its negative environmental impacts and for ensuring the long-term sustainability of irrigated agriculture. It demands establishing rapid monitoring systems that help develop sustainable management plans. Remote sensing offers several advantages over the conventional proximal methods to map and predict areas at salinity risk. This paper presents an integrated approach to characterize soil salinity using remotely-sensed data in the District Faisalabad, Punjab, Pakistan. The IRS-1B LISS-II digital data was acquired and analysed in combination with field data and topographical maps. Remotely-sensed data based salinity indices or band combinations were developed to monitor the occurrence pattern of salt-affected soils. Using supervised maximum likelihood classification, the images were classified into eight land use classes with an overall accuracy of around 90%. The classified images showed that 22.2% of the total area was under salt-affected soils in 1992. The occurrence pattern of salt-affected soils varied with positive and negative trends during 1992–1995 to a minimum of 10.6%. The delineation analysis into levels of saline soils revealed three types based on USDA classification (USDA, 1954). The slightly saline, moderately saline and strongly saline soils during 1992 were in the order of 15%, 3%, and 1% respectively. The interactive behaviour of salinity and sodicity and their combinations showed that saline-sodic soils occurred predominantly ranging from 6.9% to 17.3% of the salt-affected soils. The shallow watertable was found to be of hazardous quality in 28% of the study area. The relationship between salt-affected soils, waterlogged soils and groundwater quality revealed that 60–70% of the salt-affected soils occurred in shallow watertable areas during 1992–1995. The reuse of poor quality groundwater for irrigation and the failure of tile drainage system in the area are likely to further increase the risk of salinisation in the Indus Basin of Pakistan.
6 Abbas, A.; Khan, S.; Hussain, N.; Hanjra, M. A.; Akbar, S. 2013. Characterizing soil salinity in irrigated agriculture using a remote sensing approach. Physics and Chemistry of the Earth, 55-57:43-52. [doi: https://doi.org/10.1016/j.pce.2010.12.004]
Soil salinity ; Irrigated farming ; Irrigated sites ; Remote sensing ; Land use ; Waterlogging ; Groundwater ; Water quality / Pakistan
(Location: IWMI HQ Call no: e-copy only Record No: H046019)
(0.06 MB)
Managing salinity in irrigated agriculture is crucial for minimising its negative environmental impacts and for ensuring the long-term sustainability of irrigated agriculture. It demands establishing rapid monitoring systems that help develop sustainable management plans. Remote sensing offers several advantages over the conventional proximal methods to map and predict areas at salinity risk. This paper presents an integrated approach to characterize soil salinity using remotely-sensed data in the District Faisalabad, Punjab, Pakistan. The IRS-1B LISS-II digital data was acquired and analysed in combination with eld data and topographical maps. Remotely-sensed data based salinity indices or band combinations were developed to monitor the occurrence pattern of salt-affected soils. Using supervised maximum likelihood classi cation, the images were classi ed into eight land use classes with an overall accuracy of around 90%. The classi ed images showed that 22.2% of the total area was under salt-affected soils in 1992. The occurrence pattern of salt-affected soils varied with positive and negative trends during 1992–1995 to a minimum of 10.6%. The delineation analysis into levels of saline soils revealed three types based on USDA classi cation (USDA, 1954). The slightly saline, moderately saline and strongly saline soils during 1992 were in the order of 15%, 3%, and 1% respectively. The interactive behaviour of salinity and sodicity and their combinations showed that saline-sodic soils occurred predominantly ranging from 6.9% to 17.3% of the salt-affected soils. The shallow watertable was found to be of hazardous quality in 28% of the study area. The relationship between salt-affected soils, waterlogged soils and groundwater quality revealed that 60–70% of the salt-affected soils occurred in shallow watertable areas during 1992–1995. The reuse of poor quality groundwater for irrigation and the failure of tile drainage system in the area are likely to further increase the risk of salinisation in the Indus Basin of Pakistan.
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