• Journal of the Korean Geographical Society
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• v.43 no.1
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• pp.20-35
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• 2008

This study used crop data from statistics yearbooks in Naju and climate data from Gwangju weather station to investigate whether climate changes have had significant impact on crops. The sample crops are rice, barley, pear, radish, Korean cabbage and red pepper. The results showed that the changes in temperature have shifted crop phonology and affected crop growth. The rice and barley heading date were advancing and had negative correlation with average temperature over 30days before average heading date. The number of rice grains per unit area $(m^2)$ were decreasing while the number of barley grains per unit area $(m^2)$ were increasing because average temperature during grain filling period of rice (barley) was increasing (decreasing). Therefore, decreasing (increasing) yields of rice (barley) can be predicted by global warming. The sprouting, flowering and full flowering date of pear were advancing. The sprouting date of pear had negative correlation with average temperature from February to March and the flowering and full flowering date of pear had negative correlation with average temperature from February to April. The brix and weight of pear were increased and were most sensitive to August and September average temperature. An earlier blossom of pear trees holds the danger of damage by late frosts. The plant length of radish and chinese cabbage were decreasing and negatively influenced by maximum temperature on September. The fruit set numbers of red pepper were increasing recently and had positive correlation with minimum temperature on August. The growth of radish and Korean cabbage will be poor, but the growth of red pepper will be good by rising temperature.

• Korean Journal of Agricultural and Forest Meteorology
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• v.2 no.4
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• pp.204-208
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• 2000

Little information is available for the temporal variation in air temperature profile within rice canopies under development, while much works have been done for a fully developed canopy. Fine wire thermocouples of 0.003 mm diameter (chromel-constantan) were installed at 10 vertical heights by a 10 cm step in a paddy rice field to monitor the air temperatures over and within the developing rice canopy from one month after transplanting (June 29) to just before heading (August 24). According to a preliminary analysis of the data, we found neither the daytime temperature maximum nor the night time minimum at the active radiation surface (the canopy height with maximum leafages) during this period, which is a typical profile of a fully developed canopy. Air temperature within the canopy never exceeded that above the canopy at 1.5 m height during the daytime. Temporal march of the within-canopy profile seemed to be controlled mainly by the ambient temperature above the canopy and the water temperature beneath the canopy, and to some extent by the solar altitude, resulting in alternating isothermal and inversion structures.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.269-273
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• 2011

본 연구는 도암댐 상류 고랭지 농업지역의 이른 봄철 융설에 의해 발생되는 비점오염 물질의 배출 특성을 규명하고자 수행하였다. 연구는 2010년 2월 중순부터 4월 말까지 수행하였다. 연구지역에서는 2009년 11월 2일부터 2010년 4월 29일까지 눈이 내렸으며, 일 최대 적설량은 2월 11일에 기록된 59.3 cm이고, 총 적설량은 372.1 cm로 나타났다. 연구결과 융설에 의해 발생되는 단위 면적당 유량은 $77.05\;m^3$/ha/day로서 겨울철 평시 유량 $26.99\;m^3$/ha/day에 비해 두배 가까이 증가하였다. 유량의 변화는 기온의 영향을 많이 받는 것으로 나타났으며, 유량의 변화는 탁도와 SS 그리고 $COD_{Mn}$의 농도 변화에 영향을 주는 것으로 조사되었다. 오염물질 항목 중 SS와 COD의 유량가중평균농도는 각각 986.0 mg/L와 16.3 mg/L로서 겨울철 평시 농도보다 크게 증가하였는데, 이는 융설시 발생한 유출수에 의해 미세한 토양입자의 유실과 함께 오염물질도 배출된 결과로 판단된다. 그러나 T-N과 T-P의 농도는 큰 변화가 없는 것으로 조사되었다. 본 연구결과에 기초할 때, 담수호 상류에 위치한 고랭지 지역에서는 겨울철 적설량이 많고 융설에 의한 수질오염 문제가 하는 것으로 판단된다. 따라서 해빙기 융설로 인해 발생되는 비점오염 물질의 정량화에 대한 연구가 체계적이고 지속적으로 수행될 필요가 있다. 특히 우리나라의 겨울철 적설량과 기온은 연도별로 많은 편차가 있고, 연구결과 다량의 오염물질이 배출되기 때문에 융설에 대한 연구는 반드시 수행되어야 할 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.54 no.9
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• pp.693-704
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• 2021

The purpose of this study is to evaluate the relationship between heat wave and river water quality. The daily maximum air temperature (Tmax) of 91 meteorological stations of the Korea Meteorological Administration and 13 river water quality factors (DO, BOD, COD, TOC, TN, DTN, NH4-N, NO2-N, NO3-N, TP, DTP, PO4-P, Chl-a) of Ministry of Environment were analyzed. The correlation analysis was performed on Tmax and water quality factors, and the determination coefficients (R²) of DO, Chl-a, and TN with Tmax showed high values of 0.782, 0.609, and 0.691 respectively. To analyze the spatial impact between heat waves and water quality factors, the heat wave intensity (HWI) and heat wave duration (HWD) were calculated using the Tmax. The hotspot and spatial statistical analyses were applied for spatial impact evaluation. As a result of hotspot analysis, the heat wave index (HWD, HWI) showed high spatial pattern in the downstream of Nakdong River basin, and Chl-a and TN showed the same pattern. In case of spatial statistical analysis for water quality due to heat wave, the most obvious spatial variability was DO.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.59 no.1
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• pp.89-96
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• 2014

We aimed to evaluate the effects of climatic elements on potato yield and create a model with climatic elements for estimating the potato yield, using the results of the regional adjustment tests of potato. We used 86 data of the yield data of a potato variety, Sumi, from 17 regions over 11 years. According to the results, the climatic elements showed significant level of correlation coefficient with marketable yield appeared to be almost every climatic elements except wind velocity, which was daily average air temperature (Tave), daily minimum air temperature (Tmin), daily maximum air temperature(Tmax), daily range of air temperature (Tm-m), precipitation (Prec.), relative humidity (R.H.), sunshine hours (S.H.) and days of rain over 0.1 mm (D.R.) depending on the periods of days after planting or before harvest. The correlations between these climatic elements and marketable yield of potato were stepwised using SAS, statistical program, and we selected a model to predict the yield of marketable potato, which was $y=7.820{\times}Tmax_-1-6.315{\times}Prec_-4+128.214{\times}DR_-8+91.762{\times}DR_-3+643.965$. The correlation coefficient between the yield derived from the model and the real yield of marketable yield was 0.588 (DF 85).

• Horticultural Science & Technology
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• v.31 no.4
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• pp.503-511
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• 2013

The purpose of this study was to evaluate temperature reduction and heat budget of extensive modular green roof planted with Sedum sarmentosum and Zoysia japonica. Plant height and green coverage were measured as plant growth. Temperature, net radiation and evapotranspiration of concrete surface, green roof surface, in-soil and bottom were measured from August 2 to August 3, 2012 (48 hours). On 3 P.M., August 3, 2012, when air temperature was the highest ($34.6^{\circ}C$), concrete surface temperature was highest ($57.5^{\circ}C$), followed by surface temperature of Sedum sarmentosum ($40.1^{\circ}C$) and Zoysia japonica ($38.3^{\circ}C$), which proved temperature reduction effect of green roof. Temperature reduction effect of green roof was also shown inside green roof soil, and bottom of green roof. It was found that Zoysia japonica was more effective in temperature reduction than Sedum sarmentosum. Compared with the case of concrete surface, the highest temperature of green roof surface was observed approximately 2 hours delayed. Plant species, temperature and soil moisture were found to have impact on surface temperature reduction. Plant species, air temperature, soil moisture and green roof surface temperature were found to have impact on temperature reduction in green roof bottom. As results of heat budget analysis, sensible heat was highest on concrete surface and was found to be reduced by green roof. Latent heat flux of Zoysia japonica was higher than that of Sedum sarmentosum, which implied that Zoysia japonica was more effective to improve thermal environment for green roof than Sedum sarmentosum.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.6
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• pp.729-738
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• 1997

To estimate the change in rice productivity around lake Juam due to construction of artificial lake, growth, yield components and yield of rice were measured at different locations around lake Juam for three years from 1994 to 1996. Automated weather stations(AWS) were installed nearby the experimental paddy fields, and daily maximum, average and minimum temperature, solar radiation, relative humidity, and precipitation were measured for the whole growing period of rice. Plant height, number of tillers, leaf area and shoot dry weight per hill were observed from 8 to 10 times in the interval of 7 days after transplanting. Yield and yield components of rice were observed at the harvest time. Simulation model of rice productivity used in the study was SIMRIW developed by Horie. The observed data of rice at 5 locations in 1994, 3 locations in 1995 and 4 locations in 1996 were inputted in the model to estimate the unknown parameters. Comparisons between observed and predicted values of shoot dry weights, leaf area indices, and rough rice yield were fairly well, so that SIMRIW appeared to predict relatively well the variations in productivity due to variations of climatic factors in the habitat. Climatic elements prior to as well as posterior to dam construction were generated at six locatons around lake Juam for thirty years by the method of Pickering et al. Climatic elements simulated in the study were daily maximum and minimum temperature, and amount of daily solar radiation. The change in rice productivity around lake Juam due to dam construction were estimated by inputting the generated climatic elements into SIMRIW. Average daily maximum temperature after dam construction appeared to be more or less lower than that before dam construction, while average daily minimum temperature became higher after dam construction. Average amount of daily solar radiation became lower with 0.9 MJ $d^{-1}$ after dam construction. As a result of simulation, the average productivity of habitats around lake Juam decreased about 5.6% by the construction of dam.

• Korean journal of applied entomology
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• v.24 no.2 s.63
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• pp.61-64
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• 1985

This study was carried out to investigate the seasonal occurrence and developmental periods of Rice stem maggot (RSM), Chlorops oryzae Matsumura, at laboratory and in the fields in $1980{\sim}1982$. RSM occurred three generations a year. Peak of the first, second, and third generation was middle to late May, early July and middle September. Longevity of the first generation adult averaged 18.9 days and the oviposition was 50 eggs per fly. The eggs, larval and pupal period was 7, 25, 14 days respectively.

• Research in Plant Disease
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• v.10 no.3
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• pp.167-174
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• 2004

To make the forecasting model of rice bacterial grain rot (RGBR) using the statistical procedures with SAS(Statistical Analysis System) based on micro-weather factors during heading period of rice, 21 rice varieties having the different heading time (40％ panicles headed) were planted at 30 May and 15 June in Naju. Heading time and diseased panicles were investigated from July to August in 1998. RGBR mainly occurred on varieties headed from 29 July to 19 August, but not on varieties headed after 22 August. RGBR was highly correlated with diurnal temperature during 7 days (r =-0.871 **) and 10 days (r =-0.867**) and minimum relative humidity during 15 days from 3 days before heading time. After examining the models with several ways ($R^2$, Adjusted $R^2$, MSE), one equations were selected： Y =92.83 - 2.43Tavr + 1.88Tmin - 1.04RHavr + 0.37RHmin + 0.43RD - 3.68WS ($R^2$=0.824) using six variables of average and minimum temperature (Tavr and Tmin), average and minimum relative humidity (RHavr and RHmin), rainy days (RD), and wind speed (WS) during 7 days from 3 days before to 3 days after heading time.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.4
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• pp.275-278
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• 2006

Google Earth enables people to easily find information linked to geographical locations. Google Earth consists of a collection of zoomable satellite images laid over a 3-D Earth model and any geographically referenced information can be uploaded to the Web and then downloaded directly into Google Earth. This can be achieved by encoding in Google's open file format, KML (Keyhole Markup Language), where it is visible as a new layer superimposed on the satellite images. We used KML to create and share fine resolution gridded temperature data projected to 3 climatological normal years between 2011-2100 to visualize the site-specific warming and the resultant earlier blooming of spring flowers over the Korean Peninsula. Gridded temperature and phonology data were initially prepared in ArcGIS GRID format and converted to image files (.png), which can be loaded as new layers on Google Earth. We used a high resolution LCD monitor with a 2,560 by 1,600 resolution driven by a dual link DVI card to facilitate visual effects during the demonstration.