Spatio-temporal estimation of consumptive water use for assessment of irrigation system performance and management of water resources in irrigated Indus Basin, Pakistan

Journal of Hydrology

Volumn 525, Issue , 2015, Pages 26-41

  Usman, M ^a   Liedl, R ^a   Awan, U K ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b INTERNATIONAL CENTER FOR AGRICULTURAL RESEARCH IN THE DRY AREAS ICARDA   (Syrian Arab Republic)

Author keywords

Actual evapotranspiration; Consumptive water use; Irrigation performance indicators; Land use land cover change scenarios; SEBAL

Indexed keywords

BENCHMARKING; COTTON; CROPS; EVAPOTRANSPIRATION; IMAGE RECONSTRUCTION; IRRIGATION; LAND USE; RADIOMETERS; RELIABILITY; SATELLITE IMAGERY; WATER CONSERVATION; WATER MANAGEMENT; WATER SUPPLY; WATER SUPPLY SYSTEMS;

ACTUAL EVAPOTRANSPIRATION; IRRIGATION PERFORMANCE; LAND USE LAND COVER CHANGE; SEBAL; WATER USE;

WATER RESOURCES;

ASSESSMENT METHOD; CROPPING PRACTICE; ESTIMATION METHOD; EVAPOTRANSPIRATION; IRRIGATION; LAND COVER; MODIS; PERFORMANCE ASSESSMENT; RAINFALL; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS; WATER MANAGEMENT; WATER RESOURCE; WATER USE EFFICIENCY;

INDUS BASIN;

GOSSYPIUM HIRSUTUM;

EID: 84961291569     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.03.031     Document Type: Article

References (49)

1. Ahmad M.D., Turral H., Nazeer A. Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan. Agric. Water Manag. 2009, 96:551-564.
2. Akbari M., Toomanian N., Droogers P., Bastiaanssen W., Gieske A. Monitoring irrigation performance in Esfahan, Iran, using NOAA satellite imagery. Agric Water Manage. 2007, 88:99-109.
3. Alexandratos, N., Bruinsma, J., 2012. World agriculture towards 2030/2050: the 2012 revision. ESA Working Paper No 12-03. Rome, FAO.
4. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration - guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper, No. 56, FAO, Rome.
5. Allen R.G., Tasumi M., Morse A., Kramber W.J., Bastiaanssen W.G.M. Computing and mapping evapotranspiration in U Aswathanarayana. Advances in water science methodologies 2005, Taylor & Francis, pp. 73-85.
6. Allen R.G., Tasumi M., Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) model. J. Irrig. Drain Eng. 2007, 133:380-394.
7. Allen R., Irmak A., Trezza R. Satellite based ET estimation in agriculture using SEBAL and METRIC. Hydrol. Process. 2011, 10.1002/hyp.8408.
8. Awan U., Tischbein B., Conrad C. Remote sensing and hydrological measurements for irrigation performance assessments in a water user association in the lower Amu Darya River Basin. Water Resour. Manage 2011, 10.1007/s11269-011-9821-2.
9. Bandara K.M.P.S. Monitoring irrigation performance in Sri Lanka with high-frequency satellite measurements during the dry season. J. Agric. Water Manage. 2003, 58:159-170.
10. Bastiaanssen W.G.M., Bos M.G. Irrigation performance indicators based on remotely sensed data: a review of literature. Irrig. Drain. Syst. 1999, 13:291-311.
11. Bastiaanssen W.G.M., Menenti M., Feddes R.A., Holtslag A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL) formulation. J. Hydrol. 1998, 212-213:198-212.
12. Boelee, E., Atapattu, S., Amede, T., 2011. Ecosystems for water and food security. http://www.iwmi.cgiar.org/Topics/Ecosystems/PPT/Ecosystems.
13. Bos M.G., Nugteren J. On Farm Irrigation Efficiencies 1974, International Institute for Land Reclamation and Improvement (ILRI), Wageningen, The Netherlands, pp. 138.
14. Bos M.G., Murray-Rust D.H., Merrey D.J., Johnson H.G., Snellen W.B. Methodologies for assessing performance of irrigation and drainage management. Irrig. Drain. Syst. 1994, 7:231-261.
15. Bos M.G., Burton M.A., Molden D.J. Irrigation and Drainage Performance Assessment: Practical Guidelines 2005, CABI Publishing, UK, pp. 158.
16. Chowdary V.M., Srivastava Y.K., Chandran V., Jeyaram A. Integrated water resource development plan for sustainable management of Mayurakshi watershed, India using remote sensing and GIS. Water Resour. Manage. 2009, 23:1581-1602.
17. Clemmens A.J., Burt C.M. Accuracy of irrigation efficiency estimates. J. Irrig. Drain. Eng. 1997, 123:443-453.
18. Elhag, M., Psilovikos, A., 2011. Application of the SEBS water balance model in estimating daily evapotranspiration and evaporative fraction. doi: doi:10.1007/s11269-011-9835-9.
19. Gowda P., Chávez J.L., Colaizzi P.D., Evett S.R., Howell T.A., Tolk J.A. Remote sensing based energy balance algorithms for mapping ET: current status and future challenges. Trans. ASABE 2007, 50:1639-1644.
20. Gowda P., Chavez J., Colaizzi P. ET mapping for agricultural water management: present status and challenges. Irrig. Sci. 2008, 223-237. 10.1007/s00271-007-0088-6.
21. Hobbins M.T., Ramirez J.A. The complementary relationship in estimation of regional evapotranspiration: an enhanced advection-aridity model. Water Resour. Res. 2001, 37(5):1389-1403.
22. Jensen, M.E., 1977. Water Conservation and Irrigation Systems: Climate Tech. Sem. Proc., Columbia, MO.
23. Jewitt G.P.W. Integrating blue and green water flows for water resources management and planning. Phys. Chem. Earth 2006, 31:753-762.
24. Kazmi S.I., Ertsen M.W., Asi M.R. The impact of conjunctive use of canal and tubewell water in Lagar irrigated area, Pakistan. Phys. Chem. Earth 2012, 47-48:86-98.
25. Khan S., Tariq R., Yuanlai C., Blackwell J. Can irrigation be sustainable?. Agric. Water Manage. 2006, 80(1-3):87-99.
26. Kongo M., Jewitt G., Lorentz S. Evaporative water use of different land uses in the upper-Thukela river basin assessed from satellite imagery. Agric. Water Manag. 2011, 98:1727-1739.
27. Kustas W.P., Norman J.M. A two-source approach for estimating turbulent fluxes using multiple angle thermal infrared observations. Water Resour. Res. 1997, 33:1495-1508.
28. Liang S.L., Fang H.L., Chen M.Z., Shuey C.J., Walthall C., Daughtry C., Morisette J., Schaaf C., Strahler A. Validating MODIS land surface reflectance and albedo products: methods and preliminary results. Remote Sens. Environ. 2002, 83:149-162.
29. Liu W., Hong Y. Actual evapotranspiration estimation for different land use and land cover in urban regions using Landsat 5 data. J. Appl. Remote Sens. 2010, 10.1117/1.3525566.
30. Liu S., Bai J., Jia Z., Jia L., Zhou H., Lu L. Estimation of evapotranspiration in the Mu Us sand land of China. Hydrol. Earth Syst. Sci. 2010, 14(3):573-584.
31. Menenti, M., Choudhury, B.J., 1993. Parameterization of land surface evapotranspiration using a location dependent potential evapotranspiration and surface temperature range. In: Bolle, H.J. et al. (Eds.), Exchange processes at the land surface for a range of space and time scale, IAHS Publication No. 212, pp. 561-568.
32. Molden, D., 1997. Accounting for Water Use and Productivity SWIM Paper 1. International Irrigation Management Institute (IIMI), Colombo, Sri Lanka.
33. Mutiga J.K., Su Z., Woldai T. Using satellite remote sensing to assess evapotranspiration: case study of the upper Ewaso Ngiro North Basin, Kenya. Int. J. Appl. Earth Observ. Geoinform. 2010.
34. Navalawala, B.N., 1995. Water Scenario in India. Yojana, October 5-11.
35. Norman J.M., Kustas W.P., Humes K.S. A two-source approach for estimating soil and Vegetation energy fluxes from observations of directional radiometric surface temperature. Agric. For. Meteorol. 1995, 77:263-293.
36. Perry, C.J. 1996. Quantification and measurement of a minimum set of indicators of the performance of irrigation systems. International Irrigation Management Institute, Colombo.
37. Roerink G.J., Su Z., Menenti M. S-SEBI: a simple remote sensing algorithm to estimate the surface energy balance. Phys. Chem. Earth 2000, 25:147-157.
38. Sari D.K., et al. Estimation of water consumption of lowland rice in tropical area based on heterogeneous cropping calendar using remote sensing technology. Proc. Environ. Sci. 2013, 17:298-307. http://dx.doi.org/doi.org/10.1016/j.proenv.2013.02.042.
39. Sheikh A.D., Abbas A. Barriers in efficient crop management in rice wheat cropping system of Punjab. Pakistan J. Agric. Sci. 2007, 44(2).
40. Shi J., Huang J., Zhang F. Multi-year monitoring of paddy rice planting area in northeast China using MODIS time series data. J. Zhejiang Univ. Sci. B 2013, 14(10):934-946. http://dx.doi.org/10.1631/jzus.B1200352.
41. Su Z. The surface energy balance system (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci. 2002, 6:85-100. 10.5194/hess-6-85-2002.
42. Tasumi, M., 2003. Progress in operational estimation of regional evapotranspiration using satellite imagery. Dissertation, University of Idaho.
43. Thenkabail P.S., Schull M., Turral H. Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data. Remote Sens. Environ. 2005, 95:24.
44. Usman M., Kazmi I., Khaliq T., Ahmad A., Saleem M.F., Shabbir A. Variability in water use, crop water productivity and profitability of rice and wheat in Rechna Doab, Punjab, Pakistan. J. Anim. Plant Sci. 2012, 22(4):998-1003. ISSN: 1018-7081.
45. Usman M., Liedl R., Shahid M.A.M. Managing irrigation water by yield and water productivity assessment of a rice-wheat system using remote sensing. J. Irrig. Drain. Eng. 2014, 10.10061/(ASCE)IR.1943-4774.0000732.
46. Usman M., Liedl R., Kavousi A. Estimation of distributed seasonal net recharge by modern satellite data in irrigated agricultural regions of Pakistan. J. Environ. Earth Sci. 2015, 10. 10.1007/s12665-015-4139-7.
47. Van de Griend A.A., Owe M. On the relationship between thermal emissivity and the normalized divergence vegetation index for natural surfaces. Int. J. Remote Sens. 1993, 14:1119-1131.
48. Verstraeten W.W., Veroustraete F., Feyen J. Estimating evapotranspiration of European Forests from NOAA-imagery at satellite overpass time: towards an operational processing chain for integrated optical and thermal sensor data products. Remote Sens. Environ. 2000, 96:256-276.
49. WaterWatch, 2006. Combining remote sensing and economic analysis to assess water productivity. A demonstration project in the Inkomati Basin. Project report. WaterWatch, The Netherlands.