PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 27 | 5 |

Tytuł artykułu

Investigating hydrological responses and adaptive operation of a hydropower station under a climate change scenario

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
In this study we investigated the projections of climate change and its impacts on the water resources of the Xin’anjiang watershed and optimal hydropower production using future run-offs (the decades of the 2020s, 2050s, and 2080s). The arc SWAT hydrological model and change factor downscaling technique were integrated to detect the run-offs and to downscale CMIP5 future climate variables, respectively. Optimal hydropower generation using future runoff was predicted by developing a mathematical model and by applying the particle swarm optimization technique within its paradigm. The results depict an increase of up to 5.9ºC in monthly mean maximum temperature, and 5.58ºC in minimum temperature until the 2080s. There will be a 63% increase in flow magnitudes more than the base year flow during the 2020s, whereas up to 70% and 31.40% increments have been observed for the 2050s and 2080s, respectively. The results revealed potential hydropower generation of 19.23*10⁸ kWh using 2020s runoff of rainy years. Similarly, 19.35*10⁸ kWh and 14.23*10⁸ kWh were estimated from the flows during the 2050s and 2080s, respectively.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

27

Numer

5

Opis fizyczny

p.2337-2348,fig.,ref.

Twórcy

autor
  • Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, China
  • Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan
autor
  • Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, China
autor
  • Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, China
autor
  • Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, Pakistan
autor
  • Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, Pakistan
autor
  • Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan
autor
  • Department of Structures and Environmental Engineering, University of Agriculture, Faisalabad, Pakistan
autor
  • State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou, China
autor
  • State key laboratory of Crysopheric Science, Northwest institute of eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
autor
  • School of Environment and Safety Engineering, Jiangsu University, Zhenjiang, China
autor
  • College of Environmental Science and Engineering, Ocean University of China, Qingdao, China

Bibliografia

  • 1. IPCC, Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel of Climate Change, Cambridge University Press,Cambridge, UK, 5, 2013.
  • 2. WANG G.Q., JIN J.L., PAGANO T.C., CALOW R., BAO Z.X., LIU C. S., LIU Y.L., AND YAN X. L. Assessing water resources in China using PRECIS and VIC model. Hydrology and Earth System Science, 16, 231, 2012.
  • 3. ZHANG L., KARTHIKEYAN R., BAI Z., SRINIVASAN R. Analysis of streamflow responses to climate variability and land use change in the Loess Plateau region of China. Catena, 154, 1-11,.2017.
  • 4. IPCC, Climate Change 2007: The Physical Science Basis,Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel of Climate Change, Cambridge University Press,: Cambridge and New York, 7, 2007.
  • 5. IPCC, Climate Change 2014: Impacts, Adaptation, and Vulnerability, Cambridge University Press. 2014.
  • 6. CÁRDENAS O.L., CAMPOS M.N., SEVILLA P.M., GUERRERO R.R., OCAMPO H.A.G., MORENO M.N.H. Estimating Trends and Return Periods of Daily Extreme Precipitation Associated with Tropical Cyclones in the Core North American Monsoon. Pol. J. Environ. Stud, 25 (6), 2016.
  • 7. DING Y., GUOYU R., ZONGCI Z., YING X., YONG L., QIAOPING L., JIN Z. Detection, causes and projection of climate change over China: an overview of recent progress. Advanced Atmosphere Science, 24, 954, 2007.
  • 8. PIAO S., CIAIS P., HUANG Y., SHEN Z., PENG S., LI J., ZHOU L., LIU H., MA Y., DING Y., FRIEDLINGSTEIN P. The impacts of climate change on water resources and agriculture in China. Nature, 467, 43, 2010.
  • 9. ECSNCCA, (Edition Committee of the Second National Climate Change Assessment).Second National Climate Change Assessment Report: Science Press, Beijing. 2011.
  • 10. DING Y., WANG Z., SUN Y. Inter-decadal variation of the summer precipitation in China and its association with decreasing Asian summer monsoon Part II: Possible causes. International Journal of Climatology, 29 (13), 1926, 2009.
  • 11. SONG Y., ACHBERGER C., LINDERHOLM H.W. Rain-season trends in precipitation and their effect in different climate regions of China during 1961-2008. Environmental Research Letters, 6 (3), 034025, 2011.
  • 12. LUO X., ZHANG Y. Interdecadal change in the seasonality of rainfall variation in South China. Theoretical and Applied Climatology, 119 (1-2), 1, 2015.
  • 13. FISCHER T., GEMMER M., LIU L., SU B. Trends in monthly temperature and precipitation extremes in the Zhujiang River Basin, South China (1961-2007). Advances in Climate Change Research, 1 (2), 63, 2010.
  • 14. WANG S.J., ZHANG X., LIU Z., WANG D. Trend analysis of precipitation in the Jinsha River Basin in China. Journal of Hydrometeorology,14, 290, 2013.
  • 15. MENG F., SU F., YANG D., TONG K., HAO Z. Impacts of recent climate change on the hydrology in the source region of the Yellow River basin. Journal of Hydrology: Regional Studies, 6, 66, 2016.
  • 16. XU Z.X., LIUA Z., FUB G., CHENC Y. Trends of major hydroclimatic variables in the Tarim River basin during the past 50 years. Journal of Arid Environments., 74, 256, 2010.
  • 17. XU C., LIA J., ZHAOA J., GAOA S., CHEN Y. Climate variations in northern Xinjiang of China over the past 50 years under global warming. Quaternary International,. 358, 83, 2015.
  • 18. SU B., HUANG J., ZENG X., GAO C., JIANG T. Impacts of climate change on streamflow in the upper Yangtze River basin. Climatic Change, 1, 2016.
  • 19. JIANG C., ZHANG L., TANG, Z. Multi-temporal scale changes of streamflow and sediment discharge in the headwaters of Yellow River and Yangtze River on the Tibetan Plateau, China. Ecological Engineering, 102, 240, 2017.
  • 20. GU X., ZHANG Q., SINGH V.P., SHI P. Changes in magnitude and frequency of heavy precipitation across China and its potential links to summer temperature. Journal of Hydrology, 547, 718, 2017.
  • 21. ARNELL N.W. Climate change and global water resources: SRES emissions and socio-economic scenarios. Global Environmental Change, 14, 31, 2004.
  • 22. SHEN Y., TAIKAN O.K., UTSUMI, NOBUYUKI N., KANAE S., HANASAKI N. Projection of future world water resources under SRES scenarios: water withdrawal. Hydrological Sciences, 53, 11, 2008.
  • 23. NDRC, (National Development and Reform Commission,People’s Republic of China). China’s Policies and Actions for Addressing Climate Change.Information Office of the State Council. The People’s Republic of China., 2007.
  • 24. XU C. Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resources Management, 13 (5), 369, 1999.
  • 25. RISBEY J.S., ENTEKHABI D. Observed Sacramento Basin streamflow response to precipitation and temperature changes and its relevance to climate impact studies. Journal of Hydrology, 184 (3-4), 209, 1996.
  • 26. ZHU Y., LIN Z., WANG J., ZHAO Y., HE F. Impacts of Climate Changes on Water Resources in Yellow River Basin, China. Procedia Engineering, 154, 687, 2016.
  • 27. ZEIGER S.J., HUBBART J.A. A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA. Science of The Total Environment, 572, 232, 2016.
  • 28. ABBASPOUR K.C., ROUHOLAHNEJAD E., VAGHEFI S., SRINIVASAN R., YANG H., KLØVE B. A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model. Journal of Hydrology, 524, 733, 2015.
  • 29. SHRESTHA M.K., RECKNAGEL F., FRIZENSCHAF J., MEYER W. Assessing SWAT models based on single and multi-site calibration for the simulation of flow and nutrient loads in the semi-arid Onkaparinga catchment in South Australia. Agricultural Water Management, 175, 61, 2016.
  • 30. MALIEHE M., MULUNGU D.M. Assessment of water availability for competing uses using SWAT and WEAP in South Phuthiatsana catchment, Lesotho. Physics and Chemistry of the Earth, Parts A/B/C. 2017.
  • 31. TAN M.L., FICKLIN D.L., DIXON B., YUSOP Z., CHAPLOT V. Impacts of DEM resolution, source, and resampling technique on SWAT-simulated streamflow. Applied Geography, 63, 357, 2015.
  • 32. OUYANG F., ZHU Y., FU G., LÜ H., ZHANG A., YU Z., CHEN X. Impacts of climate change under CMIP5 RCP scenarios on streamflow in the Huangnizhuang catchment. Stochastic environmental research and risk assessment, 29 (7), 1781, 2015.
  • 33. HEJAZI M.I., CAI X.M. Building more realistic reservoir optimization models using data mining - a case study of Shelbyville reservoir. Advances in Water Resources, 34, 701, 2011.
  • 34. HUANG W.C., YUAN L.C. A drought early warning system on real-time multireservoir operations. Water Resources Research, 40, 2004.
  • 35. MOUSAVI S.J., KARAMOUZ M., MENHADJ M.B. Fuzzy-state stochastic dynamic programming for reservoir operation. Journal of Water Resources Planning and Management, 130 (6), 460, 2004.
  • 36. RAHI O.P., CHANDEL A.K., SHARMA M.G. Optimization of hydro power plant design by particle swarm optimization (PSO). Procedia Engineering, 30, 418, 2012.
  • 37. LIMA C.A.S., LAPA C.M.F., DO NA PEREIRA C.M., DA CUNHA J.J., ALVIM A.C.M. Comparison of computational performance of GA and PSO optimization techniques when designing similar systems – Typical PWR core case. Annals of Nuclear Energy, 38 (6), 1339, 2011.
  • 38. REED P.M., HADKA D., HERMAN J.D., KASPRZYK J.R., KOLLAT J.B. Evolutionary multiobjective optimization in water resources: The past, present, and future. Advances in water resources, 51, 438, 2013.
  • 39. KENNEDY J., E.R. Particle swarm optimization. Proc, in IEEE Int. Conf. Neural Networks, Perth, Australia, 1995.
  • 40. MA J., WANG H., FAN K. Dynamic downscaling of summer precipitation prediction over China in 1998 using WRF and CCSM4. Advances in Atmospheric Sciences, 32 (5), 577, 2015.
  • 41. YAN D., SASKIA E.W., LUDWIG F. HE QING HUANG. Hydrological response to climate change: The Pearl River, China under different RCP scenarios. Journal of Hydrology: Regional Studies, 4, 228, 2015.
  • 42. YIN J., YAN D., YANG Z., YUAN Z., YUAN Y., WANG H. SHI X. Research on Historical and Future Spatial-Temporal Variability of Precipitation in China. Advances in Meteorology, 2016.
  • 43. BASHEER A., LU H.S., OMER A., ALI A.B., ABDELGADER A.M.S. Impacts of climate change under CMIP5 RCP scenarios on the streamflow in the Dinder River and ecosystem habitats in Dinder National Park, Sudan. Hydrology & Earth System Sciences Discussions, 12 (10), 2015.
  • 44. ZAMAN M., FANG G., SAIFULLAH M., JAVED Q. Seasonal and annual precipitation trend prediction in Xin’NANJIANG China,Fresenus Environmental Bulletin, 25 (1), 89, 2016.
  • 45. ABBASPOUR K.C., YANG J., MAXIMOV I., SIBER R., BOGNER K., MIELEITNER J., SRINIVASAN R. Spatially-distributed modelling of hydrology and water quality in the prealpine/ alpine Thur watershed using SWAT. Journal of Hydrology, 333, 413, 2007.
  • 46. ARNOLD J.G., MORIASI D.N., GASSMAN P.W., JHA M.K. Swat: Model use, Calibration, and Validation. American Society of Agricultural and Biological Engineers, 55 (4),1491, 2012.
  • 47. VAN LIEW M.W., VIETH T.L., BOSCH D.D., ARNOLD J.G. Suitability of SWAT for the conservation effects assessment project: a comparison on USDA-ARS experimental watersheds. Journal of Hydrological Engineering., 12 (2),173, 2007.
  • 48. NASH J.E., SUTCLIFFE J.V. River flow forecasting through conceptual models, discussion of principles. Journal of Hydrological Engineering, 10 (3), 282, 1970.
  • 49. ZHANG L., KARTHIKEYAN R., BAI Z., SRINIVASAN R. Analysis of streamflow responses to climate variability and land use change in the Loess Plateau region of China. Catena, 154, 1, 2017.
  • 50. ADNAN M., NABI G., KANG S., ZHANG G., ADNAN R.M., ANJUM M.N., MUDASSAR I., ALI A.F. Snowmelt Runoff Modelling under Projected Climate Change Patterns in the Gilgit River Basin of Northern Pakistan. Pol. J. Environ. Stud., 26 (2), 525, 2017.
  • 51. ALEKSANYAN A.S., KHUDAVERDYAN, S.K., VASEASHTA A. Modeling river ecosystem vulnerability assessments due to climate change: case study of Armenia. Pol. J. Environ. Stud. , 24 (2), 871, 2015.
  • 52. JIANG B., CHEN J., LUO Q., LAI J., XU H., WANG Y., YU K. Long-Term Changes in Water Quality and Eutrophication of China’s Liujiang River. Pol. J. Environ. Stud. , 25 (3), 1033, 2016.
  • 53. GU H., YU Z., WANG G., WANG J., JU, Q., YANG C., FAN C. Impact of climate change on hydrological extremes in the Yangtze River Basin, China. Stochastic environmental research and risk assessment, 29 (3), 693, 2015.
  • 54. ZHANG Y., YOU Q., CHEN C., GE J. Impacts of climate change on streamflows under RCP scenarios: A case study in Xin River Basin, China. Atmospheric Research, 178, 521, 2016.
  • 55. BABUR M., BABEL M.S., STRESHA S., KAWASAKI A., TRIPATHI , N.K. Assessment of Climate Change Impact on Reservoir Inflows Using Multi Climate-Models under RCPs – The Case of Mangla Dam in Pakistan. Water, 8 (9), 389.2016.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-27f64c6b-7f15-40f1-914c-c9d175b06c9a
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.