Your search found 8 records
1 Ghorai, A. K.; Nanda, P.; Khan, A. R.. 1997. On farm evaluation of effect of mulch on irrigation water saving, weed control, temperature modulation and yield of pointed gourd. In Water Technology Centre for Eastern Region, WTCER annual report 1996 - 97. Bhubaneswar, India: WTCER. pp.73-75.
Irrigation water ; Water conservation ; Weed control ; Crop yield ; Vegetables / India
(Location: IWMI-HQ Call no: 631.7.1 G635 WAT Record No: H022003)

2 Ghorai, A. K.; Khan, A. R.. 1997. Water management of rabi black gram in rice fallow tract. In Water Technology Centre for Eastern Region, WTCER annual report 1996 - 97. Bhubaneswar, India: WTCER. pp.77-79.
Irrigation effects ; Crop yield ; Water requirements ; Soil management ; Rice / India / Orissa
(Location: IWMI-HQ Call no: 631.7.1 G635 WAT Record No: H022004)

3 Khan, A. R.; Ghorai, A. K. 1997? Effect of solarization and smothering on upland kharif rice. In Water Technology Centre for Eastern Region, WTCER annual report 1996 - 97. Bhubaneswar, India: WTCER. pp.81-84.
Rice ; Soil management ; Weed control ; Crop yield / India
(Location: IWMI-HQ Call no: 631.7.1 G635 WAT Record No: H022005)

4 Ghai, D.; Khan, A. R.; Lee, E.; Radwan, S. (Eds.) 1979. Agrarian systems and rural development. New York, NY, USA: Holmes & Meier Publishers Inc. xv, 375p.
Rural development ; Developing countries ; Case studies ; Policy ; Land reform ; Colonialism ; Agricultural production / Korea Republic / India / Bangladesh / Egypt / Guyana / Tanzania / China / Asia / Cuba
(Location: IWMI-HQ Call no: 330.9 G000 GHA Record No: H06360)

5 Khan, A. R.. 1999. An analysis of the surface water resources and water delivery systems in the Indus Basin. Lahore, Pakistan: International Water Management Institute (IWMI). Pakistan National Program. iv, 66p. (IWMI Pakistan Report R-093) [doi: https://doi.org/10.3910/2009.530]
Surface water ; Water allocation ; Hydrology ; River basins ; Irrigation canals ; Reservoir operation / Pakistan / Indus Basin / Kabul River / Jhelum River / Chenab River / Ravi River / Sutlej River / Kotri Barrage / Tarbela / Mangla / Chashma
(Location: IWMI-HQ Call no: IIMI 333.91 G730 KHA Record No: H025254)
https://publications.iwmi.org/pdf/H025254.pdf
https://vlibrary.iwmi.org/pdf/H025254.pdf
(11.16 MB)

6 Khan, A. R.; Muhammad, S. 2000. A spatio-temporal analysis of rainfall in the canal command areas of the Indus Plains. Lahore, Pakistan: International Water Management Institute (IWMI). Pakistan National Program. xi, 35p. (IWMI Pakistan Report R-104) [doi: https://doi.org/10.3910/2009.544]
Rain ; Precipitation ; Estimation ; Irrigation canals ; Statistical analysis / Pakistan / Indus Plains
(Location: IWMI-HQ Call no: IIMI 551.577 G730 KHA Record No: H026909)
https://publications.iwmi.org/pdf/H026909.pdf
(2MB)

7 Khan, A. R.. 2001. Searching evidence for climatic change: Analysis of hydro-meteorological time series in the Upper Indus Basin. Lahore, Pakistan: International Water Management Institute (IWMI) iv, 31p. (IWMI Working Paper 023) [doi: https://doi.org/10.3910/2009.152]
Water resource management ; River basins ; Analysis ; Catchment areas ; Stream flow ; Data collection ; Models ; Time series ; hydrology ; Climate / Pakistan / Upper Indus Basin
(Location: IWMI-PAK Call no: IWMI 631.7.5 G730 KHA Record No: H028687)
http://www.iwmi.cgiar.org/Publications/Working_Papers/working/WOR23.pdf
(925 KB)
The study examines some of the major components of water cycle in the Upper Indus Basin (UIB) to look for evidence of climate change. An analysis of hydrometeorological data has been performed for UIB. An Additive Decomposition Model was used for analyzing the time series data from ten meteorological stations in the Mangla (Jhelum River) and the Tarbela (Indus River) catchments and the long-term flow data for the three major rivers, the Indus, Jhelum and Chenab. The model decomposes a time series into trend, cyclical or periodic, autoregressive and irregular components. Furthermore, spectral analysis is done in order to display these components of the time series and examine the results of the removal of the components. This approach makes use of the fact that a change in climate, if it has occurred, will have a magnified effect on hydrologic time series. By detecting trends in such series, it should be possible to work backwards and identify the causative climatic change. In case of flow data for the three rivers, which was available for a longer period than the meteorological data, the ‘F’ and ‘t’ tests for stability of variance and mean, respectively, were also performed. The annual cycle dominated all the temperature series i.e., large periodic components, and none explained by the periodic component and a dominant random component. In case of stream- flow data, the annual temperature cycle was dominant and no trend components were found in any of the flow series. The F-test and the t-test indicated the variances and means for different sub- periods of each flow series to be stable at 5% level of significance. The analysis of time series of river flows and associated climatic data did not find any pattern of trends likely to be caused by ‘greenhouse warming’ in the Upper Indus Basin.

8 Ahmed, S.; Qureshi, A. S.; Amarasinghe, U.; Khan, A. R.. 2002. Projecting food and water demands of Pakistan for 2025 using Policy Dialogue Model. In Second South Asia Water Forum, Islamabad, Pakistan, 14-16 December 2002 – Proceedings, vol.2. pp.615-630.
Water scarcity ; Water potential ; Water demand ; Irrigation water ; Food production ; Cereals ; Policy making ; Models / Pakistan
(Location: IWMI-HQ Call no: IWMI 631.7.3 G730 AHM Record No: H031838)
https://vlibrary.iwmi.org/pdf/H_31838.pdf

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