Your search found 9 records
1 Biggs, Trent; Ahmad, Mobin-ud-Din. 2004. ET Krishna Basin. Print out of powerpoint presentation made at the Observing river basins from space: why is it important for IWMI - A Remote Sensing and GIS (RS/GIS) Workshop held at the International Water Management Institute, Colombo, Sri Lanka, 28 June 2004. RS/GIS training materials. 11p.
River basins ; Remote sensing ; Satellite surveys ; Evapotranspiration ; Estimation ; Reservoirs / India / Krishna Basin
(Location: IWMI-HQ Call no: IWMI 574.526323 G000 IWM Record No: H036224)
2 Van-Rooijen, Daniel J.; Turral, Hugh; Biggs, Trent. 2005. Sponge city: water balance of mega-city water use and wastewater use in Hyderabad, India; Erratum to the article. Irrigation and Drainage, 54(Supplement 1):S81-S91; 54(4):483.
Wastewater ; Irrigated farming ; Water balance ; Runoff / India / Hyderabad / Krishna River / Musi River
(Location: IWMI-HQ Call no: PER Record No: H037447)
3 Thenkabail, Prasad Srinivas; Biradar, Chandrashekhar; Gangodagamage, Chandana; Islam, Aminul; Schull, Mitchell; Gamage, Nilantha; Turral, Hugh; Zomer, Robert; Biggs, Trent; Scott, Christopher; Ahmad, Mobin-ud Din; De Fraiture, Charlotte. 2004. RS/GIS training materials for awareness: version 1.0. Print out of powerpoint presentation made at the Observing river basins from space: why is it important for IWMI - A Remote Sensing and GIS (RS/GIS) Workshop held at the International Water Management Institute, Colombo, Sri Lanka, 28 June 2004. RS/GIS training materials. 6p.
(Location: IWMI-HQ Call no: IWMI 574.526323 G000 IWM Record No: H036216)
4 Ahmad, Mobin-ud -Din; Biggs, Trent; Turral, Hugh; Scott, Christopher. 2006. Application of SEBAL approach and MODIS time-series to map vegetation water use patterns in the data scarce Krishna river basin of India. Water Science and Technology, 53(10):83-90.
Evapotranspiration ; Water use ; Indicators ; River basins ; Groundwater irrigation ; Water deficit ; Rice ; Models ; Remote sensing / India / Krishna River Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 AHM Record No: H038857)
5 Biggs, Trent; Thenkabail, Prasad; Gumma, Murali; Scott, Christopher; Parthasaradhi, G. R.; Turral, Hugh. 2006. Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India. International Journal of Remote Sensing, 27(19):4245-4266.
Irrigated land ; Groundwater irrigation ; Surface irrigation ; Mapping ; River basins ; Time series analysis / India / Krishna Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 BIGG Record No: H039379)
6 Thenkabail, Prasad; Gangadhara Rao, P.; Biggs, Trent; Krishna, M.; Turral, Hugh. 2007. Spectral matching techniques to determine historical land use/Land cover (LULC) and irrigated areas using time-series 0.1 degree AVHRR Pathfinder Datasets. Photogrammetric Engineering & Remote Sensing, 73(9):1029-1040.
Land use ; Land cover ; Irrigated land ; Time series analysis ; Remote sensing ; Mapping / India / Krishna River Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1.1 G635 THE Record No: H039380)
7 Biggs, Trent; Scott, Christopher; Rajagopalan, Balaji; Turral, Hugh. 2007. Trends in solar radiation due to clouds and aerosols, Southern India, 1952-1997. International Journal of Climatology, 27(11): 1505–1518.
(Location: IWMI-HQ Call no: IWMI 551.5271 G635 BIG Record No: H039743)
Decadal trends in cloudiness are shown to affect incoming solar radiation (SW SFC) in the Krishna River basin (13–20°N, 72–82 °E), southern India, from 1952 to 1997. Annual average cloudiness at 14 meteorological stations across the basin decreased by 0.09% of the sky per year over 1952–1997. The decreased cloudiness partly balanced the effects of aerosols on incoming solar radiation (SW SFC), resulting in a small net increase in SW SFC in monsoon months (0.1–2.9 W m-2 per decade). During the non-monsoon, aerosol forcing dominated over trends in cloud forcing, resulting in a net decrease in SW SFC (-2.8 to -5.5 W m-2 per decade). Monthly satellite easurements from the International Satellite Cloud Climatology Project (ISCCP) covering 1983–1995 were used to screen the visual cloudiness measurements at 26 meteorological stations, which reduced the data set to 14 stations and extended the cloudiness record back to 1952. SW SFC measurements were available at only two stations, so the SW SFC record was extended in time and to the other stations using a combination of the Angstrom and Hargreaves-Supit equations. The Hargreaves-Supit estimates of SW SFC were then corrected for trends in aerosols using the literature values of aerosol forcing over India. Monthly values and trends in satellite measurements of SW SFC from National Aeronautics and Space Administration’s (NASA’s) surface radiation budget (SRB) matched the aerosol-corrected Hargreaves-Supit estimates over 1984–1994 (RMSE = 11.9 W m-2, 5.2%). We conclude that meteorological station measurements of cloudiness, quality checked with satellite imagery and calibrated to local measurements of incoming radiation, provide an opportunity to extend radiation measurements in space and time. Reports of decreased cloudiness in other parts of continental Asia suggest that the cloud-aerosol trade-off observed in the Krishna basin may be widespread, particularly during the rainy seasons when changes in clouds have large effects on incoming radiation compared with aerosol forcing.
8 Biggs, Trent; Gaur, Anju; Scott, C.; Thenkabail, Prasad; Gangadhara Rao, Parthasaradhi; Gumma, Murali Krishna; Acharya, Sreedhar; Turral, Hugh. 2007. Closing of the Krishna Basin: irrigation, streamflow depletion and macroscale hydrology. Colombo, Sri Lanka: International Water Management Institute (IWMI). 38p. (IWMI Research Report 111) [doi: https://doi.org/10.3910/2009.111]
River basins ; Physical geography ; Climate ; Stream flow ; Hydrology ; Rainfall runoff relationships ; Evapotranspiration ; Irrigation programs ; Water allocation ; Water transfer ; Environmental effects ; Water quality / India / Krishna River / Andhra Pradesh / Maharashtra / Karnataka
(Location: IWMI HQ Call no: IWMI 551.483 G635 BIG Record No: H040373)
(1.33MB)
Discharge from the Krishna River into the ocean decreased by 75 percent from 1960-2005, and was zero during a recent multi-year drought. This paper describes the physical geography and hydrology of the Krishna Basin, including runoff production and a basic water account based on hydronomic zones. More than 50 percent of the basin's irrigated area is groundwater irrigation, which is not currently included in inter-state allocation rules. Future water allocation will require inclusion of the interactions among all irrigated areas, including those irrigated by groundwater and surface water.
9 McCartney, Matthew; Scott, Christopher; Ensink, J.; Jiang, B. B.; Biggs, Trent. 2008. Salinity implications of wastewater irrigation in the Musi River catchment in India. Ceylon Journal of Science (Biological Sciences), 37(1): 49-59.
River basins ; Catchment areas ; Wastewater irrigation ; Salinity ; Water quality ; Reservoirs ; Dams ; Rice ; Feed grasses ; Models ; Water balance ; Soil salinity / India / Musi River / Andhra Pradesh / Hyderabad / Osman Sagar / Himayat Sagar
(Location: IWMI HQ Call no: IWMI 631.7.5 G635 MCC, PER Record No: H041459)
http://www.sljol.info/index.php/CJSBS/article/viewArticle/495
https://vlibrary.iwmi.org/pdf/H041459.pdf
https://vlibrary.iwmi.org/pdf/H041459.pdf
As a consequence of increasing urbanization and shortage of good quality water, wastewater irrigation is a growing phenomenon in many arid and semi-arid countries. A common characteristic of wastewater is high salinity, with cities typically adding 200 – 500 mg l-1 of total dissolved solids compared to the source water supplied to the city. Wastewater from the city of Hyderabad in southern India is discharged to the Musi river. Downstream of the city this water, supplemented with groundwater and runoff captured in small reservoirs, is an important source for irrigation. Comparisons between upstream and downstream monitoring sites, over a distance of 39.7 km, revealed changes in the salinity of the river water. A simple mass-balance model was developed to simulate the observed differences. Results indicate that 94% of the salt load originates in the city. Downstream salinity increased by about 9%. In fields irrigated with wastewater, soil salinity increased with time with salt retention of approximately 34 kg ha-1 y-1. This represents approximately 0.1% of the total salt load applied to the land. In many places the soils have salinity in excess of recommended tolerance levels for rice, once the principal crop, but which is now increasingly being converted to fodder grass.
Powered by DB/Text WebPublisher, from
