Hydrology of the Upper Ganga River

River basins / Flow / Hydrology / Models / Runoff / India / Nepal / Tibet / Bangladesh / Upper Ganga River

The implementation of the Tsunami Livelihood Restoration Project: Progress report 2005

Natural disasters / Rehabilitation / Living conditions / Farmers’ associations / Sri Lanka / Hambantota District

Report on water quality survey and pollution in Kurunegala, Sri Lanka

Water resources / Water pollution / Water quality / Monitoring / Electrical conductivity / Ph / Nitrogen / Iron / Boron / Heavy metals / Coliform bacteria / Sri Lanka / Kurunegala / Wan Ela / Beu Ela

Impact of wastewater use on farm households in Nam Dinh, Vietnam

Waste watersWater reuseIrrigated farmingRiceYieldsFertilizersFishWomen

Balancing irrigation and hydropower: Case study from Southern Sri Lanka

Reservoirs / Dams / Hydroelectric schemes / Economic analysis / Canals / Irrigation scheduling / Cropping systems / Case studies

Wastewater agriculture in Kurunegala City, Sri Lanka

Wastewater irrigation / Irrigation canals / Rivers / Urban agriculture / Farmers associations / Rain / Soil properties / Rice / Crop management / Fertilizers / Paddy fields / Sri Lanka / Kurunegala City / Beu Ela / Wan Ela

Background report: Kurunegala, Sri Lanka

Development projects / Water resources / Social aspects / Population / Households / Income / Water supply / Sanitation / Wastewater / Water quality / Public health / Waterborne diseases / Land use / Land tenure / Legislation / Sri Lanka / Kurunegala / Wan Ela / Beu Ela

Hydrological impacts of inflow and land-use changes in the Gorai River catchment, Bangladesh

This study looks at the changes in water balance in the Gorai River Catchment in the Bangladesh delta before and after operationalization of Farakka Barrage. Results show that in ow into the catchment has decreased, but major changes in land use within the catchment have also impacted runoff. Model scenarios demonstrate that although increasing in ow from upstream is the most effective method to increase dry season ows into the delta, reduction in cultivation of water-intensive crops would provide an alternative solution

Surface runoff estimation over heterogeneous canal commands applying medium resolution remote sensing data with the SCS-CN method

In Weligamage, Parakrama; Godaliyadda, G. G. A.; Jinapala, K. (Eds.). Proceedings of the National Conference on Water, Food Security and Climate Change in Sri Lanka, BMICH, Colombo, Sri Lanka, 9- 11 June 2009. Vol. 1. Irrigation for food security. Colombo, Sri Lanka: International Water Management Institute (IWMI).The precise estimation of surface runoff from rainfall is critical for water resource management. In the recent past, remote sensing and Geographic Information System (GIS) technologies have been widely used in the estimation of surface runoff from watersheds, and from agricultural fields in particular. This is due to the inherent ability of remote sensing to capture spatial heterogeneity of surface parameters such as land use and land cover. This could lead to better performances of surface runoff simulation models. Surface runoff volume/rate estimation involves quantifying the amount of rainfall exceeding infiltration and initial abstractions which must be satisfied before the occurrence of runoff. The widely accepted SCS curve number method was employed to calculate surface runoff, using a combination of remotely-sensed land use/land cover and hydrometrological data in the Punjab canal command areas. Land use/Land cover maps for four cropping seasons, Rabi 2004-05, Kharif 2005, Rabi 2006-07 and Kharif 2007 were derived using red and near infrared bands of MODIS 8 day products. The existing soil map was reclassified into hydrological soil groups and rainfall data were interpolated using the inverse distance method to represent the spatial rainfall values of each canal command. The results show that CN values vary from 70 to 95 during the study period. The highest CN value of 94.4 is during the Kharif 2005 season. Meanwhile the runoff-coefficient is changing from 0.01 to 0.25 and 0.01 to 0.43, respectively, during Rabi 2004/05 and Rabi 2006/07. During Kharif 2005 and Kharif 2007, the runoff-coefficient varied from 0.01 to 43 and 0.01 to 0.45, respectively. The study shows that the SCS curve number method can be used for runoff estimation with the help of remote sensing products and GIS technologies from catchments where gauging data is not available

Hydrology of the Upper Ganga River

Project report submitted to WWF, Indi