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Stochastic Behavior of Plant Water Stress Index and the Impact of Climate Change  

Han, Suhee (Department of Environmental System Engineering, Pukyong National University)
Yoo, Gayoung (Department of Environmental Science and Engineering, Kyung Hee University)
Kim, Sangdan (Department of Environmental System Engineering, Pukyong National University)
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Abstract
In this study, a dynamic modeling scheme is presented to describe the probabilistic structure of soil water and plant water stress index under stochastic precipitation conditions. The proposed model has the form of the Fokker-Planck equation, and its applicability as a model for the probabilistic evolution of the soil water and plant water stress index is investigated under a climate change scenario. The simulation results of soil water confirm that the proposed soil water model can properly reproduce the observations and show that the soil water behaves with consistent cycle based on the precipitation pattern. The simulation results of plant water stress index show two different PDF patterns according to the precipitation. The simple impact assessment of climate change to soil water and plant water stress is discussed with Korean Meteorological Administration regional climate model.
Keywords
Climate change; Ecohydrology; Fokker-Planck equation; Plant water stress index; Soil water;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 한수희, 김상단(2008). 토양수분과 식생의 물 압박에 대한생태수문학적 해석: 추계학적 모형의 유도와 적용을 중심으로. 수질보전 한국물환경학회지, 24, pp. 99-106
2 IPCC (2001). Climate Change 2001: The Scientific Basis. J. T. Houghton et al. (eds.). Cambridge University Press, NY
3 Kim, S., Han, S., and Kavvas, M. L. (2008). Analytical derivation of steady-state soil water probability density function coupled with simple stochastic point rainfall model. ASCE Journal of Hydrological Engineering, 13, pp. 1069-1077   DOI   ScienceOn
4 Porporato, A., Laio, F., Ridolfi, L., and Rodriguz-Iturbe, I. (2001). Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress. III: Vegetation water stress. Advances in Water Resources, 24, pp.725-744   DOI   ScienceOn
5 Porporato, A. and Rodriguez-Iturbe, I. (2001). Ecohydrology of water-controlled ecosystems. Cambridge
6 Yoo, C. and Kim, S. (2004). EOF analysis of surface soil moisture field variability. Advances in Water Resources, 27, pp. 831-842   DOI   ScienceOn
7 Nordbotten, J. M., Rodriguez-Iturbe, I., and Celia, M. A. (2007). Stochastic coupling of rainfall and biomass dynamics. Water Resources Research, 43, W01408, doi:10.1029/2006WR 005068   DOI   ScienceOn
8 Entekhabi, D. and Rodriguez-Iturbe, I. (1994). Analytical framework for the characterization of the space-time variability of soil moisture. Advances in Water Resources, 17, pp. 35-45   DOI   ScienceOn
9 Chang, J. S. and Cooper, G. (1970). A practical difference scheme for Fokker-Planck equations. Journal of Computational Physics, 6, pp. 1-16   DOI   ScienceOn
10 기상연구소(2004). 기후변화협약대응 지역기후 시나리오 산출기술개발. 기상연구소 연구보고서, 기상청
11 Nash, J. E. and Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I- A discussion of principles. Journal of Hydrology, 10, pp. 282-290   DOI   ScienceOn
12 Hsiao, T. C. (1973). Plant responses of water stress. Annual Review of Plant Physiology, 24, pp. 519-590   DOI   ScienceOn
13 Baudena, M., Boni, G., Ferraris, L., von Hardenberg, J., and Provenzale, A. (2007). Vegetation response to rainfall intermittency in drylands: Results from a simple ecohydrological box model. Advances in Water Resources, 30, pp. 1320-1328   DOI   ScienceOn
14 Rodriguez-Iturbe, I., Porporato, A., Ridolfi, L., Islam, V., and Cox, D. (1999). Probabilistic modeling of water balance at a point: the role of climate, soil and vegetation. Proceedings of Royal Society, Series A, 455, pp. 3789-3805   DOI   ScienceOn
15 Laio, F., Porporato, A., Ridolfi, L., and Rodriguez-Iturbe, I. (2001). Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress. II: Probabilistic soil moisture dynamics. Advances in Water Resources, 24, pp. 707-723   DOI   ScienceOn
16 한수희, 김상단(2009). Cumulant 급수이론을 이용한 추계학적 토양 물수지 방정식의 확률 해. 수질보전 한국물환경학회지, 25, pp. 106-113
17 Eagleson, P. (1978). Climate, soil and vegetation: 1. Introduction to water balance dynamics. Water Resources Research, 14, pp. 705-712   DOI   ScienceOn
18 Rodriguez-Iturbe, I., Porporato, A., Laio, F., and Ridolfi, L. (2001). Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress. I: Scope and general outline. Advances in Water Resources, 24, pp. 697-705