All Issue

2021 Vol.54, Issue 9 Preview Page

Research Article

Conceptual eco-hydrological model reflecting the interaction of climate-soil-vegetation-groundwater table in humid regions

습윤 지역의 기후-토양-식생-지하수위 상호작용을 반영한 개념적인 생태 수문 모형

Jeonghyeon Choia
,
Sangdan Kimb*
최 정현a
,
김 상단b*
aPh.D Candidate, Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University, Busan, Korea
bProfessor, Department of Environmental Engineering, Pukyong National University, Busan, Korea
a부경대학교 지구환경시스템과학부 (환경공학전공) 박사과정
b부경대학교 환경공학과 교수
*Corresponding Author
30 September 2021. pp. 681-692
PDF XML Citation
Abstract

Vegetation processes have a significant impact on rainfall runoff processes through evapotranspiration control, but are rarely considered in the conceptual lumped hydrological model. This study evaluated the model performance of the Hapcheon Dam watershed by integrating the ecological module expressing the leaf area index data sensed remotely from the satellite into the hydrological partition module. The proposed eco-hydrological model has three main features to better represent the eco-hydrological process in humid regions. 1) The growth rate of vegetation is constrained by water shortage stress in the watershed. 2) The maximum growth of vegetation is limited by the energy of the watershed climate. 3) The interaction of vegetation and aquifers is reflected. The proposed model simultaneously simulates hydrologic components and vegetation dynamics of watershed scale. The following findings were found from the validation results using the model parameters estimated by the SCEM algorithm. 1) Estimating the parameters of the eco-hydrological model using the leaf area index and streamflow data can predict the streamflow with similar accuracy and robustness to the hydrological model without the ecological module. 2) Using the remotely sensed leaf area index without filtering as input data is not helpful in estimating streamflow. 3) The integrated eco-hydrological model can provide an excellent estimate of the seasonal variability of the leaf area index.

Keywords
Eco-hydrological model
Hydrological partition
Humid region
Leap area index
Remote sensing data

식생 프로세스는 증발산 제어를 통해 강우 유출 프로세스에 상당한 영향을 미치지만, 개념적인 집중형 수문 모형에서는 거의 고려되지 않는다. 본 연구는 인공위성에서 원격으로 감지된 엽면적지수 자료를 표현하는 생태 모듈을 수문 분할 모듈에 통합하여 합천댐 유역에 대한 모형 성능을 평가하였다. 제안된 생태 수문 모형은 습윤 지역의 생태수문 프로세스를 더 잘 표현하기 위하여 크게 세 가지 주요한 특징을 가진다. 1) 식생의 성장률은 유역의 물 부족 스트레스에 의해 제약을 받는다. 2) 식생의 최대 성장은 유역 기후에 의한 에너지에 의해 제약을 받는다. 3) 식생과 대수층의 상호작용이 반영된다. 제안된 모형은 유역 단위의 수문 성분과 식생 동역학을 동시에 모의한다. SCEM 알고리즘에 의해 추정된 모형 매개변수를 이용한 검증 결과로부터 아래와 같은 발견할 수 있었다. 1) 엽면적지수와 하천유량 자료를 이용하여 생태수문모형의 매개변수를 추정하는 것이 생태 모듈이 없는 수문 모형과 비슷한 정확도 및 견고함으로 하천유량을 예측할 수 있다. 2) 필터링이 안된 원격으로 감지된 엽면적지수를 그대로 입력자료로 이용하는 것은 하천유량 예측에 도움이 안된다. 3) 통합된 생태수문모형은 엽면적지수의 계절적인 변동성에 대한 우수한 추정치를 제공할 수 있다.

키워드
생태 수문 모형
수문학적 분할
습윤 지역
엽면적지수
원격 감지 자료
References
1
Allen, R., Pereira, L., Raes, D., and Smith, M. (1998). Crop evapotranspiration - guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56. Food and Agriculture Organization of the United Nations, Rome, Italy.
2
Berghuijs, W., Sivapalan, M., Woods, R., and Savenije, H. (2015). "Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of time scales." Water Resources Research, Vol. 50, No. 7, pp. 5638-5661. 10.1002/2014WR015692
3
Choi, D., Choi, H., Kim, K., and Kim, S. (2012). "Development of the ecohydrologic model for simulating water balance and vegetation dynamics." Journal of Korean Society on Water Environment, Vol. 28, No. 4, pp. 582-594. (in Korean)
4
Choi, D., Kim, I., Kim, J., and Kim, S. (2013). "Development of distributed ecohydrologic model and its application to the Naeseong creek basin." Journal of Korea Water Resources Association, Vol. 46, No. 11, pp. 1053-1067. (in Korean) 10.3741/JKWRA.2013.46.11.1053
5
Choi, J., Seo, J., Won, J., Lee, O., and Kim, S. (2020). "Effects of hydro-climate conditions on calibrating conceptual hydrologic partitioning model." Journal of Korean Society on Water Environment, Vol. 36, No. 6, pp. 568-580. (in Korean)
6
Choi, J., Won, J., Lee, O., and Kim, S. (2021). "Usefulness of global root zone soil moisture product for streamflow prediction of ungauged basins." Remote Sensing, Vol. 13, No. 4, 756. doi: 10.3390/rs13040756 10.3390/rs13040756
7
Chui, T., Low, S., and Liong, S. (2011). "An ecohydrological model for studying groundwater - vegetation interactions in wetlands." Journal of Hydrology, Vol. 409, No. 1-2, pp. 291-304. 10.1016/j.jhydrol.2011.08.039
8
Conradt, T., Wechsung, F., and Bronstert, A. (2013). "Three perceptions of the evapotranspiration landscape: Comparing spatial patterns from a distributed hydrological model, remotely sensed surface temperatures, and sub-basin water balances." Hydrology and Earth System Sciences, Vol. 17, No. 7, pp. 2947-2966. doi: 10.5194/hess-17-2947-2013 10.5194/hess-17-2947-2013
9
Glenn, E., Huete, A., Nagler, P., and Nelson, S. (2008). "Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape." Sensors, Vol. 8, No. 4, pp. 2136-2160. doi: 10.3390/s8042136 10.3390/s804213627879814PMC3673410
10
Gupta, H., Kling, H., Yilmaz, K., and Martinez, G. (2009). "Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling." Journal of Hydrology, Vol. 377, No. 1-2, pp. 80-91. 10.1016/j.jhydrol.2009.08.003
11
Han, S., Ahn, J., and Kim, S. (2009). "The stochastic behavior of soil water and the impact of climate change on soil water." Journal of Korea Water Resources Association, Vol. 42, No. 6, pp. 433-444. (in Korean) 10.3741/JKWRA.2009.42.6.433
12
Islam, M., and Sado, K. (2000). "Development of flood hazard maps of Bangladesh using NOAA - AVHRR images with GIS." Hydrological Sciences Journal, Vol. 45, No. 3, pp. 337-355. 10.1080/02626660009492334
13
Istanbulluoglu, E., Wang, T., and Wedin, D. (2012). "Evaluation of ecohydrologic model parsimony at local and regional scales in a semiarid grassland ecosystem." Ecohydrology, Vol. 5, No. 1, pp. 121-142. 10.1002/eco.211
14
Ivanov, V., Bras, R., and Vivoni, E. (2008). "Vegetation-hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks." Water Resources Research, Vol. 44, No. 3, W03429. doi: 10.1029/2006WR005588 10.1029/2006WR005588
15
Kim, S., Han, S., and Kim, E. (2011). "Stochastic modeling of soil water and plant water stress using cumulant expansion theory." Ecohydrology, Vol. 4, No. 1, pp. 94-105. 10.1002/eco.127
16
Kim, S., Jang, S., Yoon, Y., and Yoon, J. (2004). "Probabilistic solution to stochastic infiltrated flow equation." KSCE Journal of Civil Engineering, Vol. 8, No. 6, pp. 651-662. 10.1007/BF02823556
17
Kim, S., Kavvas, M., and Chen, Z. (2005). "A root water uptake model under heterogeneous soil surface." Journal of Hydrologic Engineering, Vol. 10, pp. 160-167. 10.1061/(ASCE)1084-0699(2005)10:2(160)
18
Knyazikhin, Y., Glassy, J., Privette, J.L., Tian, Y., Lotsch, A., Zhang, Y., Wang, Y., Morisette, J.T., Votava, P., Myneni, R.B., Nemani, R.R., and Running, S.W. (1999). MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical Basis Document, Land Precesses Distributed Active Archive Center, accessed 26 August 2021, <https://lpdaac.usgs.gov/documents/90/MOD15_ATBD.pdf>.
19
Koetz, B., Baret, F., Poilvé, H., and Hill, J. (2005). "Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics." Remote Sensing of Environment, Vol. 95, No. 1, pp. 115-124. 10.1016/j.rse.2004.11.017
20
Laio, F., Tamea, S., Ridolfi, L., D'Odorico, P., and Rodriguez-Iturbe, I. (2009). "Ecohydrology of groundwater-dependent ecosystems: 1. Stochastic water table dynamics." Water Resources Research, Vol. 45, No. 5, W05419. doi: 10.1029/2008WR007292 10.1029/2008WR007292
21
Lee, A., Cho, S., Kang, D., and Kim, S. (2014). "Analysis of the effect of climate change on the Nakdong river stream flow using indicators of hydrological alteration." Journal of Hydro-environmental Research, Vol. 8, No. 3, pp. 234-247. 10.1016/j.jher.2013.09.003
22
Lee, O., Choi, J., Sim, I., Won, J., and Kim, S. (2020a). "Stochastic parsimonious hydrologic partitioning model under East Asia Monsoon climate and its application to climate change." Water, Vol. 12, No. 1, 25. dol: 10.3390/w12010025 10.3390/w12010025
23
Lee, O., Kim, H., and Kim, S. (2020b). "Hydrological simple water balance modeling for increasing geographically isolated doline wetland functions and its application to climate change." Ecological Engineering, Vol. 149, 105812. doi: 10.1016/j.ecoleng.2020.105812 10.1016/j.ecoleng.2020.105812
24
Li, H., Zhang, Y., Chiew, F., and Xu, S. (2009). "Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index." Journal of Hydrology, Vol. 370, No. 1-4, pp. 155-162. 10.1016/j.jhydrol.2009.03.003
25
Li, K., Coe, M., Ramankutty, N., and De Jong, R. (2007). "Modeling the hydrological impact of land-use change in West Africa." Journal of Hydrology, Vol. 337, No. 3-4, pp. 258-268. 10.1016/j.jhydrol.2007.01.038
26
Li, Q., and Ishidaira, H. (2012). "Development of a biosphere hydrological model considering vegetation dynamics and its evaluation at basin scale under climate change." Journal of Hydrology, Vol. 412-413, pp. 3-13. 10.1016/j.jhydrol.2011.08.046
27
Lindström, G., Johansson, B., Persson, M., Gardelin, M., and Bergström, S. (1997). "Development and test of the distributed HBV-96 hydrological model." Journal of Hydrology, Vol. 201, No. 1-4, pp. 272-288. 10.1016/S0022-1694(97)00041-3
28
Manfreda, S., and Caylor, K. (2013). "On the vulnerability of water limited ecosystems to climate change." Water, Vol. 5, No. 2, pp. 819-833. 10.3390/w5020819
29
Montaldo, N., Rondena, R., Albertson, J., and Mancini, M. (2005). "Parsimonious modeling of vegetation dynamics for ecohydrologic studies of water limited ecosystems." Water Resources Research, Vol. 41, No. 10, W10416. doi: 10.1029/2005WR004094 10.1029/2005WR004094
30
Muneepeerakul, C., Miralles-Wilhelm, F., Tamea, S., Rinaldo, A., and Rodriguez-Iturbe, I. (2008). "Coupled hydrologic and vegetation dynamics in wetland ecosystems." Water Resources Research, Vol. 44, No. 7, W07421. doi: 10.1029/2007WR006528 10.1029/2007WR006528
31
Mwangi, H., Julich, S., Patil, S., Mcdonald, M., and Feger, K. (2016). "Modelling the impact of agroforestry on hydrology of Mara river basin in East Africa." Hydrological Process, Vol. 30, No. 18, pp. 3139-3155. 10.1002/hyp.10852
32
Naseem, B., Ajami, H., Liu, Y., Cordery, I., and Sharma, A. (2016). "Multi-objective assessment of three remote sensing vegetation products for streamflow prediction in a conceptual ecohydrological model." Journal of Hydrology, Vol. 543, pp. 686-705. 10.1016/j.jhydrol.2016.10.038
33
Patil, S., and Stieglitz, M. (2015). "Comparing spatial and temporal transferability of hydrological model parameters." Journal of Hydrology, Vol. 525, pp. 409-417. 10.1016/j.jhydrol.2015.04.003
34
Porporato, A, Laio, F, Ridolfi, L., and Rodriguez-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, Vol. 24, No. 7, pp. 725-744. 10.1016/S0309-1708(01)00006-9
35
Quevedo, D., and Francés, F. (2008). "A conceptual dynamic vegetation-soil model for arid and semiarid zones." Hydrology Earth System and Sciences, Vol. 12, No. 5, pp. 1175-1187. 10.5194/hess-12-1175-2008
36
Rodriguez‐Iturbe, I., D'Odorico, P., Laio, F., Ridolfi, L., and Tamea, S. (2007). "Challenges in humid land ecohydrology: Interactions of water table and unsaturated zone with climate, soil, and vegetation." Water Resources Research, Vol. 43, No. 9, W09301. doi: 10.1029/2007WR006073 10.1029/2007WR006073
37
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, Vol. 24, No. 7, pp. 695-705. 10.1016/S0309-1708(01)00004-5
38
Rodriguez-Iturbe, I., Porporato, A., Ridolfi, L., Isham, V., and Coxi, D.R. (1999). "Probabilistic modelling of water balance at a point: the role of climate, soil and vegetation." Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, Vol. 455, pp. 3789-3805. 10.1098/rspa.1999.0477
39
Ruiz-Pérez, G., Koch, J., Manfreda, S., Caylor, K., and Francés, F. (2017). "Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI." Hydrology Earth System and Sciences, Vol. 21, No. 12, pp. 6235-6251. 10.5194/hess-21-6235-2017
40
Sorooshian, S., Duan, Q., and Gupta, V. (1993). "Calibration of rainfall-runoff models: Application of global optimization to the Sacramento soil moisture accounting model." Water Resources Research, Vol. 29, No. 4, pp. 1185-1194. 10.1029/92WR02617
41
Sugawara, M. (1961). "On the analysis of runoff structure about several Japanese rivers." Japanese Journal of Geophysics, Vol. 2, No. 4, pp. 1-76.
42
Sun, L., and Schulz, K. (2017). "Spatio-temporal LAI modelling by integrating climate and MODIS LAI data in a mesoscale catchment." Remote Sensing, Vol. 9, No. 2, 144. doi: 10.3390/rs9020144 10.3390/rs9020144
43
Tague, C., and Band, L. (2004). "RHESSys: REgional hydro-ecologic simulation system-an object-oriented approach to spatially distributed modeling of carbon, water, and nutrient cycling." Earth Interactions, Vol. 8, No. 19, pp. 1-42. 10.1175/1087-3562(2004)8<1:RRHSSO>2.0.CO;2
44
Tesemma, Z., Wei, Y., Western, A., and Peel, M. (2014). "Leaf Area Index variation for crop, pasture, and tree in response to climatic variation in the goulburn - broken catchment, Australia." Journal of Hydrometeorology, Vol. 15, No. 4, pp. 1592-1606. 10.1175/JHM-D-13-0108.1
45
Tuteja, N., Vaze, J., Teng, J., and Mutendeudzi, M. (2007). "Partitioning the effects of pine plantations and climate variability on runoff from a large catchment in southeastern Australia." Water Resources Research, Vol. 43, No. 8, W0841. doi: 10.1029/2006WR005016 10.1029/2006WR005016
46
Verhulst, P. (1838). "Notice sur la loi que la population poursuit dans son accroissement." Correspondance Mathématique et Physique, Vol. 10, pp. 113-121.
47
Viola, F., Pumo, D., and Noto, L. (2013). "EHSM: A conceptual ecohydrological model for daily streamflow simulation." Hydrological Process, Vol. 28, pp. 3361-3372. 10.1002/hyp.9876
48
Vrugt, J., Gupta, H., Bouten, W., and Sorooshian, S. (2003). "A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters." Water Resources Research, Vol. 39, No. 8, 1201. doi: 10.1029/2002WR001642 10.1029/2002WR001642
49
Watson, D. (1947). "Comparative physiological studies on the growth of field crops: I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years." Annals of Botany, Vol. 11, pp. 41-76. 10.1093/oxfordjournals.aob.a083148
50
Wegehenkel, M. (2002). "Estimating of the impact of land use changes using the conceptual hydrological model THESEUS-a case study." Physics and Chemistry of the Earth, Parts A/B/C, Vol. 27, No. 9, pp. 631-640. 10.1016/S1474-7065(02)00047-5
51
Weiss, M., Baret, F., Garrigues, S., and Lacaze, R. (2007). "LAI and fAPAR CYCLOPES global products derived from vegetation. part 2: validation and comparison with MODIS collection 4 products." Remote Sensing of Environment, Vol. 110, No. 3, pp. 317-331. 10.1016/j.rse.2007.03.001
52
Won, J., Choi, J., Lee, O., and Kim, S. (2020). "Copula-based Joint Drought Index using SPI and EDDI and its application to climate change." Science of The Total Environment, Vol. 744, 140701. doi: 10.1016/j.scitotenv.2020.140701 10.1016/j.scitotenv.2020.14070132755772
53
Yildiz, O., and Barros, A. (2007). "Elucidating vegetation controls on the hydroclimatology of a mid-latitude basin." Journal of Hydrology, Vol. 333, No. 2-4, pp. 431-448. 10.1016/j.jhydrol.2006.09.010
54
Zhang, Y., and Wegehenkel, M. (2006). "Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration." Remote Sensing of Environment, Vol. 104, No. 4, pp. 393-408. 10.1016/j.rse.2006.05.011
55
Zhou, X., Istanbulluoglu, E., and Vivoni, E. (2013). "Modeling the ecohydrological role of aspect-controlled radiation on tree-grass-shrub coexistence in a semiarid climate." Water Resources Research, Vol. 49, No. 5, pp. 2872-2895. doi: 10.1002/wrcr.20259 10.1002/wrcr.20259
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 54
  • No :9
  • Pages :681-692
  • Received Date : 2021-05-16
  • Revised Date : 2021-07-06
  • Accepted Date : 2021-07-06
  • DOI :https://doi.org/10.3741/JKWRA.2021.54.9.681
Journal Informaiton Journal of Korea Water Resources Association Journal of Korea Water Resources Association
Online Submission
Archives
  • scopus
  • KCI-수자원
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close