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Sharma, J. R.
- Transforming to Hydrological Modelling Approach for Long-Term Water Resources Assessment under Climate Change Scenario - a Case Study of the Godavari Basin, India
Abstract Views :233 |
PDF Views:93
Authors
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 106, No 2 (2014), Pagination: 293-299Abstract
This communication discusses quantifying basin-scale water wealth by transformation from the presently adapted basin terminal gauge site run-off aggregation to distributed hydrological modelling approach. In this study, an attempt was made to propose modifications to simple monthly water balance model using time-series land-use grids derived from the temporal remote sensing satellite data to compute run-off at basin scale. This approach will help in studying runoff and water resources availability with limited meteorological parameters. The study was aimed at computing mean annual water resources in the Godavari Basin, India during the last 18 years (1990-91 to 2007-08) using the proposed approach and to compute availability of water resources during extreme wet and dry rainfall conditions in the basin. The land-use grids were integrated with soil textural, digital elevation and command area grids to compute hydrological response unit grids. Groundwater, reservoir flux, domestic and livestock water consumption and industrial water consumptive use were computed using the spatial data and integrated in the model environment to compute run-off. The model was calibrated and validated using observed discharge data at various prominent gauge stations in the basin. Long-term water resources availability in the basin was computed using the developed methodology.Keywords
Climate Change, Hydrological Modelling, Remote Sensing, Water Resources Availability.Full Text
- Assessment of Spatial Variations in Temperature and Precipitation Extremes in West-Flowing River Basin of Kutch, Saurashtra and Marwar, India
Abstract Views :305 |
PDF Views:99
Authors
Affiliations
1 Regional Remote Sensing Centre-West, National Remote Sensing Centre, Indian Space Research Organisation (ISRO), Jodhpur 342 003, IN
2 Birla Institute of Technology, Jaipur 302 001, IN
3 National Remote Sensing Centre, Indian Space Research Organisation (ISRO), Jodhpur 342 003, IN
1 Regional Remote Sensing Centre-West, National Remote Sensing Centre, Indian Space Research Organisation (ISRO), Jodhpur 342 003, IN
2 Birla Institute of Technology, Jaipur 302 001, IN
3 National Remote Sensing Centre, Indian Space Research Organisation (ISRO), Jodhpur 342 003, IN
Source
Current Science, Vol 114, No 02 (2018), Pagination: 322-328Abstract
Climate extreme event indicates the manifestation of higher or lower values (with respect to a threshold value) by a climatic variable. The goal of this study is to analyse the spatial variation in 27 indices of temperature and precipitation extremes in the west-flowing river basin of Kutch, Saurashtra and Marwar (WFR-KSM basin). Climate extreme indices were calculated using RClimDex software on 50 years of daily precipitation gridded data and 36 years of daily maximum and minimum temperature data. Theil–Sen slope was calculated as the estimator of trend in 16 extreme indices of temperature and 11 extreme indices of precipitation throughout the basin. The results indicate increase towards wetter climate extremes and a shift towards hotter climate extremes.Keywords
Climate, Precipitation, River Basin, Spatial Variations, Temperature.Full Text
References
- IPCC, Summary for policymakers. In Climate Change 2007: The Physical Science Basis (eds Solomon, S. D. et al.), Cambridge University Press, Cambridge, UK, 2007; https://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_wg1_report_the_physical_science_basis.htm
- Arguez, A., Watkins, A. B., Diamond, H. J. and Trewin, B. C., State of the climate in 2006. Bull. Am. Meteorol. Soc., 2007, 88(6), 135; http://journals.ametsoc.org/doi/pdf/10.1175/BAMS-88-6-StateoftheClimate
- Lanzante, J. R. et al., What do observations indicate about the changes of temperature in the atmosphere and at the surface since the advent of measuring temperatures vertically? In Temperature Trends in the Lower Atmosphere: Steps for Understanding and Reconciling Differences (eds Karl, T. R. et al.), US Climate Change Science Program, Washington, DC, USA, 2006, pp. 47–70.
- Pachauri, R. K. and Meyer, L. A. (eds), In Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, Geneva, Switzerland, 2014, p. 151; http://www.ipcc.ch/report/ar5/
- WMO, WMO Statement on the Status of the Global Climate in 2015, World Meteorological Organization, Geneva, Switzerland, WMO-No. 1167, 2016; www.cma.gov.cn/en2014/news/News/201603/P020160322334697539255.pdf
- Agnihotri, I., Assessment and modeling of village ecosytem using earth observation and geospatial technology. In Remote Sensing Applications for Dryland Natural Resource Management, New India Pub. Agency, 2013, p. 231.
- Peterson, T. C., Folland, C., Gruza, G., Hogg, W., Mokssit, A. and Plummer, N., Report on the Activities of the Working Group on Climate Change Detection and Related Rapporteurs. WMO, Geneva, Switzerland, 2001, p. 143; http://etccdi.pacificclimate.org/docs/wgccd.2001.pdf
- West flowing rivers of Kutch and Saurashtra including Luni basin. India-WRIS web GIS portal basin report, Ministry of Water Resources, (MoWR), Government of India, 2014; http://india-wris.nrsc.gov.in/Publications/BasinReports/West%20Flowing%20Ri vers%20of%20Kutch%20and%20Saurashtra%20including%20Luni %20Basin.pdf
- Agnihotri, I., Punia, M. P. and Sharma, J. R., Estimation and assessment of spatial variations in water availability in west flowing river basin of Kutch, Saurashtra and Marwar (WFR-KSM basin) using geospatial technology. Int. J. Adv. Remote Sensing GIS, 2017, 6, 1994–2000.
- Agnihotri, I., Punia, M. P. and Sharma, J. R., Trend analysis of precipitation data and its spatio-temporal assessment in west flowing river basin of Kutch, Saurashtra and Marwar (WFR-KSM basin), India. Int. J. Adv. Res., Ideas, Innov. Technol., 2017, 3(2), 97–102.
- WMO, Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. World Meteorological Organization, Geneva, Switzerland, 2009; http://www.wmo.int/pages/prog/wcp/wcdmp/wcdmp_series/documents/WCDMP_72_TD_1500_en__1.pdf
- Frich, P., Alexander, L. V., Della-Marta, P., Gleason, B., Haylock, M. and Klein Tank, A. M. G. and Peterson, T., Observed coherent changes in climatic extremes during the second half of the twentieth century. Climate Res., 2016, 19(3), 193–212; http://www.intres.com/articles/cr2002/19/c019p193.pdf
- Klein Tank, A. M. G. et al., Daily surface air temperature and precipitation dataset 1901–1999 for European Climate Assessment (ECA). Int. J. Climatol., 2002, 22, 1441–1453.
- Klein Tank, A. M. G., Zwiers, F. W. and Zhang, X., Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. WMO, Geneva, Switzerland, 2009, p. 52; http://www.wmo.int/pages/prog/wcp/wcdmp/wcdmp_series/documents/WCDMP_72_TD_1500_en__1.pdf
- Peterson, T. C. and Manton, M. J., Monitoring changes in climate extremes: a tale of international collaboration. Bull. Am. Meteorol. Soc., 2008, 89(9), 1266–1271.
- Klein Tank, A. M. G. et al., Changes in daily temperature and precipitation extremes in Central and South Asia. J. Geophys. Res.: Atmos., 2006, 111, D16105(1–8); http://onlinelibrary.wiley.com/doi/10.1029/2005JD006316/full
- Karpouzos, D. K., Kavalieratou, S. and Babajimopoulos, C., Trend analysis of precipitation data in Pieria Region (Greece). Eur. Water, 2010, 30, 31–40; http://www.ewra.net/ew/pdf/EW_2010_30_04.pdf
- Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R. and Mearns, L. O., Climate extremes: observations, modeling, and impacts. Science, 2000, 289(5487), 2068–2074.
- Peterson, T. C., Climate change indices. WMO Bull., 2005, 54(2), 83–86; http://etccdi.pacificclimate.org/papers/WMO.Bulletin.April. 2005.indices.pdf
- Sheikh, M. M., Ahmed, A. U., Kolli, R. K., Shrestha, M. L. and Dharmaratna, G. H. P., Development and application of climate extreme indices and indicators for monitoring trends in climate extremes and their socio-economic impacts in South Asian countries. Final Report for Asia-Pacific Network project, APN E-Lib, 2005; available on http://www.apn-gcr.org/resources/items/show/1515 (accessed 12 June 2016).
- Zhang, X. et al., Indices for monitoring changes in extremes based on daily temperature and precipitation data. Wiley Interdiscipl. Rev.: Climate Change, 2011, 2(6), 851–870.