JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Estimating Spatio-Temporal Distribution of Climate Factors in Andong Dam Basin
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Estimating Spatio-Temporal Distribution of Climate Factors in Andong Dam Basin
Lim, Chul Hee; Moon, Joo Yeon; Lim, Yoon Jin; Kim, Sea Jin; Lee, Woo Kyun;
  PDF(new window)
 Abstract
This study investigates characteristics of time series spatial distribution on climate factors in Andong Dam basin by estimating precise spatio-temporal distribution of hydro-meteorological information. A spatio-temporal distribution by estimating Semi-Variogram based on spatial autocorrelation was examined using the data from ASOS and 7 hydro-meteorological observatories in Andong Dam basin of upper Nakdonggang River, which were installed and observed by NIMR(National Institute of Meterological Research). Also, temperature and humidity as climate variables were analyzed and it was recognized that there is a variability in watershed area by time and months. Regardless of season, an equal spatial distribution of temperature at 14 o'clock and humidity at 10 o'clock was identified, and nonequal distribution was noticed for both variables at 18 o'clock. From monthly spatial analysis, the most unequal distribution of temperature was seen in January, and the most equal distribution was detected in September. The most unequal distribution of humidity was identified in May, and the most equal distribution was seen in January. Unlike in forest, seasonal spatial distribution characteristics were less apparent;but temperature and humidity had respective characteristics in hydro-meteorology.
 Keywords
Spatio-temporal Distribution;Hydro-meteorology;Semi-Variogram;Andong Dam Basin;
 Language
Korean
 Cited by
 References
1.
Choi, H.A., Lee W.K. and Byun, W.H., 2012, Determining the effect of green spaces on urban heat distribution using satellite imagery, Asian Journal of Atmospheric Environment, Vol. 6, No. 2, pp. 127-135. crossref(new window)

2.
Chun. J., Kim, K.R., Lee, S.Y., Kang, W.S., Park, J.S, Yi, C.Y., Choi, Y.J Park, E.W. and Hong, S.S., 2012, High resolution gyeonggi-do agrometeorology information analysis system based on the observational data using local analysis and prediction system (LAPS), Korean Journal of Agricultural and Forest Meteorology, Vol. 14, No. 2, pp. 53-62 crossref(new window)

3.
Dibike, Y.B. and Coulibaly, P., 2005, Hydrologic impact of climate change in the saguenay watershed: comparison of downscaling methods and hydrologic models, Journal of Hydrology, Vol. 307 pp. 145-163. crossref(new window)

4.
Fleig, A.K., Tallaksen, L.M., Hisdal, H. and Demuth, S., 2006, A global evaluation of streamflow drought characteristics, Hydrology and Earth System Sciences, Vol. 10. pp. 535-552. crossref(new window)

5.
Jung, J., Jin, S., and Park, M.S., 2008, Precipitation analysis based on spatial linear regression model, The Korean Journal of Applied Statistics, Vol. 21, No. 6, pp. 1093-1107. crossref(new window)

6.
Khaliq, M.N., Ouarda, T.B.M.J., Ondo, J.C., Gachon, P. and Bobee, B., 2006, Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review, Journal of Hydrology, Vol. 329, pp. 534-552. crossref(new window)

7.
Kim, M.I., Kwak, H. Lee, W.K., Won, M.S. and Koo, K.S., 2011. Study on regional spatial autocorrelation of forest fire occurrence in korea, Journal of the Korean Society for Geospatial Information Science, Vol. 19, No. 2, pp. 29-37.

8.
Kwak, H., Lee, W.K., Saborowski, J., Lee, S.Y., Won, M.S., Koo, K.S., Lee, M.B. and Kim, S.N., 2012, Estimating the spatial pattern of humancaused forest fires using a generalized linear mixed model with spatial autocorrelation in South Korea, International Journal of Geographical Information Science, Vol. 26, No. 9, pp. 1589-1602. crossref(new window)

9.
Lim, C.H., Song, C., Kang, B., Lee, W.K., Park, S.B. and Lee, S.J., 2014. The analysis on relationship between weather condition and forest therapy effect. The Journal of Korean Institute of Forest Recreation, Vol. 18, No. 1, pp. 85-97.

10.
Lim, C.H., Kim, D., Shin, Y. and Lee, W.K., 2015a, Assessment of drought severity on cropland in korea peninsula using normalized precipitation evapotranspiration index (NPEI), Journal of Climate Change Research, Vol. 6, No. 3, pp. 223-231. crossref(new window)

11.
Lim, C.H., Ryu, D.H., Song, C.H., Zhu, Y.Y., Lee, W.K. and Kim M.S., 2015b, Estimating precise spatio-temporal distribution of weather condition using semi-variogram in small scale recreation forest, Journal of the Korean Association of Geographic Information Studies, Vol. 18, No. 3, pp. 63-75. crossref(new window)

12.
NIMR, 2013, Advanced research on hydrometeorology research, National Institute of Meteorological Research, Research Report, No. 11-1360395-000448-01.

13.
Olivier, M.A and Webster, R., 1990, Kriging: a method of interpolation for geographical information systems, International journal of geographical information systems, Vol. 4, No. 3, pp. 313-332. crossref(new window)

14.
Park, J.H., Lee, G.S., Yang, J.S. and Kim, S.W., 2012, A Hydrometeorological time series analysis of geum river watershed with GIS data considering climate change, Journal of Korea Spatial Information Society, Vol. 20, No. 3, pp. 39-50.

15.
Wang, F., Wang, X., Zhao, Y. and Yang, Z., 2014, Correlation analysis of NDVI dynamics and hydro-meteorological variables in growth period for four land use types of a water scarce area, Earth Science Information, Vol. 7, pp. 187-196. crossref(new window)