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Shrestha, Sangam
- Assessment of Climate Change Impact on Water Diversion from the Bago River to the Moeyingyi Wetland, Myanmar
Abstract Views :512 |
PDF Views:138
Authors
Affiliations
1 Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
2 Agricultural Systems and Engineering, School of Environment, Resources and Development, Asian Institute of Technology, Pathum Thani 12120,, TH
1 Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
2 Agricultural Systems and Engineering, School of Environment, Resources and Development, Asian Institute of Technology, Pathum Thani 12120,, TH
Source
Current Science, Vol 112, No 02 (2017), Pagination: 377-384Abstract
Originally built for flood control, the Moeyingyi wetland, Myanmar now provides valuable resources such as fishery, irrigation water and tourism, and is also home to many rare species and migratory birds. This is the only wetland in Myanmar listed as a Ramsar Site. Bias-corrected climate data from three general circulation models under two emission scenarios of IPCC Assessment Report 5 (AR5), namely RCP 4.5 and RCP 8.5 were used to forecast temperature and rainfall. Future climate scenarios were predicted for three future periods as 2020s (2021-30), 2030s (2031- 40) and 2040s (2041-50). The Soil Water Assessment Tool (SWAT) was used for hydrological analysis to predict water availability. Analysis suggests that the discharge is expected to decrease during dry season, which can have a negative impact on the diversion of water from the Bago River to the Moeyingyi wetland. On the other hand, discharge is likely to increase during July and can further worsen the recurring floods. Similarly, inflow at the Moeyingyi wetland is expected to decrease in future. Hence, robust adaptation strategies should be formulated to cope with the negative impact of climate change.Keywords
Climate Change, Hydrological Analysis, Water Diversion, Wetlands.Full Text
- Projection of Climate Change Scenarios in the Kabul River Basin, Afghanistan
Abstract Views :309 |
PDF Views:117
Authors
Affiliations
1 Department of Civil and Infrastructure Engineering, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
2 Department of Information and Communication Technologies, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
1 Department of Civil and Infrastructure Engineering, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
2 Department of Information and Communication Technologies, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
Source
Current Science, Vol 114, No 06 (2018), Pagination: 1304-1310Abstract
This study was conducted to examine the changes in future temperature and precipitation of the Kabul River Basin in Afghanistan by using the outputs of three general circulation models (GCMs) under two representative concentration pathway (RCP 4.5 and RCP 8.5) scenarios. Future climate data for temperature and precipitation obtained from climate models were bias corrected using the delta change approach. Maximum and minimum temperatures and precipitation were projected for three future periods: 2020s, 2050s and 2080s against the baseline period of 1961–1980. The mean annual temperature in the basin is projected to increase by 1.8°C, 3.5°C and 4.8°C by the 2020s, 2050s and 2080s respectively. The mean annual precipitation is projected to increase whereas monthly precipitation is expected to increase and decrease according to the months for the whole river basin, under both scenarios, by 2100.Keywords
Climate Change, Kabul River Basin, RCPs, Temperature, Precipitation.Full Text
References
- Ma, C., Sun, L., Liu, S., Shao, M. A. and Luo, Y., Impact of climate change on the streamflow in the glacierized Chu River Basin, Central Asia. J. Arid. Land., 2015, 7(4), 501–513.
- Shrestha, S., Anal, A. K., Salam, P. A. and Van der Valk, M., Managing Water Resources Under Climate Uncertainty, Springer, 2015.
- IPCC Climate change 2007, the physical science basis. Contribution of Working Group l to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK, 2007.
- Unger-Shayesteh, K., Vorogushyn, S., Farinotti, D., Gafurov, A., Duethmann, D., Mandychev, A. and Merz, B., What do we know about past changes in the water cycle of Central Asian head-waters? A review. Glob. Planet. Change, 2013. 110, 4–25.
- Hu, Z., Zhang, C., Hu, Q. S. and Tian, H., Temperature changes in Central Asia from 1979 to 2011 based on multiple datasets, 2014.
- Cruz, R. V. H. et al., Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, 2007, pp. 469–506.
- Htut, A. Y., Shrestha, S., Nitivattananon, V. and Kawasaki, A., Forecasting climate change scenarios in the Bago River Basin, Myanmar. J. Earth Sci. Clim. Change, 2014, 5(228).
- Wang, Z., Ficklin, D. L., Zhang, Y. and Zhang, M., Impact of climate change on streamflow in the arid Shiyang River Basin of northwest China. Hydrol. Proc., 2012, 26(18), 2733–2744.
- Xu, Y. P., Zhang, X., Ran, Q. and Tian, Y., Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China. J. Hydrol., 2013, 483, 51–60.
- Stott, P. A. and Kettleborough, J. A., Origins and estimates of uncertainty in predictions of twenty first century temperature rise. Nature, 2002, 416, 723–726.
- Maharjan, M. and Babel, M. S., Impact of the uncertainty of future climate on discharge in the Nam Ou river basin, Lao PDR. Managing water resources under climate uncertainty. J. Sprin., 2014.
- Fowler, H. J., Blenkinsop, S. and Tebaldi, C., Linking climate change modeling to impact studies: recent advances in downscaling techniques of hydrological modeling. Int. J. Climatol., 2007, 27, 1547–1578.
- Maraun, D. et al., Precipitation downscaling under climate change. Recent developments to bridge the gap between dynamical models and the end user. Rev. Geophys., 2010, 48(3), 1–34.
- SEI, Socio-economic Impact of climate change in Afghanistan. Stockholm Environment Institute, 2009.
- Kamal, G. M. River basins and Watersheds of Afghanistan. Afghanistan Information Management Service (AIMS). Kabul, Afghanistan, 2004.
- Wi, S., Interactive comment on ‘Calibration approaches for distributed hydrologic models using high performance computing: implication for streamflow projections under climate change’ by S. Wi et al., 2015.
- King, M. and Sturtewagen, B., Making the most of Afghanistan’s river basins: Opportunities for regional cooperation. East West Institute, New York, 2010.
- Fakhri, R. A., Socio economic and demographic profile – Afghan Agriculture, 2007.
- Favre, Raphy and Kamal, G. Monowar. Watershed Atlas of Afghanistan (draft). Food and Agricultural Organization (FAO) and Afghanistan Information Management Service (AIMS), 2004.
- Mack, T. J., Chornack, M. P., Coplen, T. B., Plummer, L. N., Rezai, M. T. and Verstraeten, I. M. Availability of Water in the Kabul Basin, Afghanistan (No. 2010-3037), US Geological Survey, 2010.
- World Bank: Afghanistan – Scoping strategic options for development of the Kabul River Basin: a multisectoral decision support system approach, World Bank, Washigton, DC, 2010.
- van Vuuren et al., The representative concentration pathways: an overview. Climate Change, 2011, 109, 5–31; doi:10.1007/s10584-011-1048-z.
- Hay, L. E., Wilby, R. and Leavesley, G. H., A comparison of delta change and downscaled GCM scenarios for three mountainous basins in United States. J. Am. Water Resour. Assoc., 2000, 36(2), 387–397; doi:10. 1111/j.1752-1688.2000.
- Gupta, J., Nunes, C., Vyas, S. and Jonnal Agadda, S., Prediction of solubility parameters and miscibility of pharmaceutical compounds by molecular dynamics simulations. J. Phys. Chem. B, 2011, 115(9), 2014–2023.
- Projections of Extreme Precipitation Events under Climate Change Scenarios in Mahaweli River Basin of Sri Lanka
Abstract Views :366 |
PDF Views:150
Authors
Affiliations
1 Department of Civil and Infrastructure Engineering, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
2 Department of Food, Agriculture and Bioresources, School of Environment Resources and Development, Asian Institute of Technology, Pathum Thani 12120, TH
1 Department of Civil and Infrastructure Engineering, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, TH
2 Department of Food, Agriculture and Bioresources, School of Environment Resources and Development, Asian Institute of Technology, Pathum Thani 12120, TH
Source
Current Science, Vol 114, No 07 (2018), Pagination: 1495-1509Abstract
The future changes in rainfall pattern in the Mahaweli River Basin of Sri Lanka using three general circulation models under two representative concentration pathways were assessed. The projections showed that consecutive dry days will decrease, consecutive wet days and annual total precipitation in wet days will increase, the monthly maximum consecutive five-day precipitation will generally decrease, and annual rainfall will increase except for the first inter-monsoon. The projections of the heavy rainfall varied according to the time periods and climate zones. The present results can help policy makers to optimize the use of water resources considering future climate change.Keywords
Bias Correction, Climate Change, Extreme Precipitation, GCMs, Rainfall, RCPs.Full Text
References
- Murray, S. J., Foster, P. N. and Prentice, I. C., Future global water resources with respect to climate change and water withdrawals as estimated by a dynamic global vegetation model. J. Hydrol., 2012, 448, 14–29.
- Hijioka, Y. et al., Asia. In Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Barros, V. R. et al.), Cambridge University Press, Cambridge, United Kingdom and New York, USA, 2014, pp. 1327–1370.
- Sun, W., Mu, X., Song, X., Wu, D., Cheng, A. and Qiu, B., Changes in extreme temperature and precipitation events in the Loess Plateau (China) during 1960–2013 under global warming. Atmos. Res., 2016, 168, 33–48.
- IPCC, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (eds Field, C. B. et al.), Cambridge University Press, Cambridge, UK, and New York, NY, USA, 2012, p. 582.
- IPCC, Climate Change 2014: Synthesis Report Summary for the Policy Makers, 2014.
- Rashid, M. M., Beecham, S. and Chowdhury, R. K., Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment. Sci. Total Environ., 2015, 530, 171–182.
- Baba, N., Sinking the Pearl of the Indian Ocean: Climate Change in Sri Lanka. Global Majority E-Journal, 2010, 1(1), 4–16.
- World Bank, Turn Down the Heat: Climate Extremes, Regional Impacts, and the Case for Resilience. A report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics. Washington, DC, World Bank, 2013.
- Eriyagama, N. and Smakhtin, V., Observed and projected climatic changes, their impacts and adaptation options for Sri Lanka: a review. In Proceedings of the National Conference on Water, Food Security and Climate Change in Sri Lanka, 2010, 2, 99–117.
- Jayatillake, H. M., Chandrapala, L., Basnayake, B. R. S. B. and Dharmaratne, G. H. P., Water Resources and Climate Change. In Proceedings of Workshop on Sri Lanka National Water Development Report (eds Wijesekera, N. T. S., Imbulana, K. A. U. S. and Neupane, B.), World Water Assessment Programme: Paris, France, 2005.
- Jayawardene, H. K. W. I., Sonnadara, D. U. J. and Jayewardene, D. R., Trends of rainfall in Sri Lanka over the last century. Sri Lankan J. Phys., 2005, 6, 7–17.
- Wickramagamage, P., Spatial and temporal variation of rainfall trends of Sri Lanka. Theor. Appl. Climatol., 2016, 125, 427–438.
- Mahaweli Consultancy Bureau, Environmental Impact Assessment. SRI: Water Resources Development Investment Program, Upper Elehara Canal (UEC), Prepared by Mahaweli Consultancy Bureau (Pvt) Ltd for the Asian Development Bank. MCB, 2014; http://www.adb.org/sites/default/files/project-document/153180/47381-001-eia-01.pdf.
- Withanachchi, S. S., Kopke, S., Withanachchi, C. R., Pathiranage, R. and Ploeger, A., Water resource management in dry zonal paddy cultivation in Mahaweli River Basin, Sri Lanka: an analysis of spatial and temporal climate change impacts and traditional knowledge. Climate, 2014, 2, 329–354.
- Shantha, W. W. A. and Jayasundara, J. M. S. B., Study on changes of rainfall in the Mahaweli upper watershed in Sri Lanka due to climatic changes and develop a correction model for global warming. In International Symposium on the Stabilization of Greenhouse Gas Concentrations. Hadley Centre, Met Office, Exeter, UK, 2005.
- Punyawardena, B., Climate Change: Challenges and Opportunities in Sri Lanka Natural Resources Management Center, Department of Agriculture, Sri Lanka, 2002.
- Manchanayake, P. and Madduma Bandara, C. M., Water Resources of Sri Lanka. National Science Foundation, Sri Lanka, 1999.
- Mahaweli Authority of Sri Lanka (MASL), Mahaweli Hand Book 2011–2012. Statistical Hand Book, Planning and Monitoring Unit, Mahaweli Authority of Sri Lanka, 2012; http://mahaweli.gov.lk/en/pdf/CorporateDocuments/statistics/2012.pdf.
- Department of Census and Statistics Sri Lanka. Census of Population and Housing – Final Report, Department of Census and Statistics Sri Lanka, 2012.
- Arguez, A. and Vose, R. S., The definition of the standard WMO climate normal: the key to deriving alternative climate normals. Bull. Am. Meteorol. Soc., 2011, 92, 699–704.
- De Silva, R. P., Spatiotemporal hydrological modelling with GIS for the Upper Mahaweli catchment, Sri Lanka. Cranfield: Cranfield University, 1997.
- Eischeid, J. K., Pasteris, P. A., Diaz, H. F., Plantico, M. S. and Lott, N. J., Creating a serially complete, national daily time series of temperature and precipitation for the western United States. J. Appl. Meteorol., 2000, 39, 1580–1591.
- Smith, J. B. and Hulme, M., Climate change scenarios. In UNEP Handbook on Methods for Climate Change Impact Assessment and Adaptation Studies. United Nations Environment Programme (eds Feenstra, J. et al.), Nairobi, Kenya and Institute for Environmental Studies, Amsterdam, 1998, pp. 3–1–3–40.
- Van Vuuren, D. P. et al.., Stabilizing greenhouse gas concentrations at low levels: an assessment of reduction strategies and costs. Clim. Change, 2007, 81, 119–159.
- Thomson, A. M. et al., RCP4.5: a pathway for stabilization of radiative forcing by 2100. Clim. Change, 2010, 109, 77–94.
- Fujino, J., Nair, R., Kainuma, M., Masui, T. and Matsuoka, Y., Multi-gas mitigation analysis on stabilization scenarios using AIM global model. Energy J. Special Issue, 2006, 3, 343–354.
- Hijioka, Y., Matsuoka, Y., Nishimoto, H., Masui, T. and Kainuma, M., Global GHG emission scenarios under GHG concentration stabilization targets. J. Glob. Environ. Eng., 2008, 13, 97–108.
- Riahi, K. et al., RCP 8.5–A scenario of comparatively high green-house gas emissions. Clim. Change, 2011, 109, 33–57.
- Teutschbein, C. and Seibert, J., Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. J. Hydrol., 2012, 456, 12–29.
- Chen, J., Brissette, F., Chaumont, D. and Braun, M., Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America. Water Resour. Res., 2013, 49, 4187–4205.
- Gudmundsson, L., Bremnes, J. B., Haugen, J. E. and EngenSkaugen, T., Technical note: downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods. Hydrol. Earth Syst. Sci., 2012, 16, 3383–3390.
- Easterling, D. R., Alexander, L. V., Mokssit, A. and Detemmerman, V., CCI/CLIVAR workshop to develop priority climate indices. Bull. Am. Meteorol. Soc., 2003, 84, 1403–1407.
- Flato, G. et al., Evaluation of climate models. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Stocker, T. F. et al.), Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2013.