A Study on the Effects of Meterological Factors on the Distribution of Agricultural Products: Focused on the Distribution of Chinese Cabbages (기상요인이 농산물 유통에 미치는 영향에 관한 연구: 배추 유통 사례를 중심으로)
- Lee, Hyunjoung;Hong, Jinhwan
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- Journal of Distribution Research
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- v.17 no.5
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- pp.59-83
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- 2012
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Agriculture is a primary industry that influenced by the weather or meterological factors more than other industry. Global warming and worldwide climate changes, and unusual weather phenomena are fatal in agricultural industry and human life. Therefore, many previous studies have been made to find the relationship between weather and the productivity of agriculture. Meterological factors also influence on the distribution of agricultural product. For example, price of agricultural product is determined in the market, and also influenced by the weather of the market. However, there is only a few study was made to find this link. The objective of this study is to investigate the effects of meterological factors on the distribution of agricultural products, focusing on the distribution of chinese cabbages. Chinese cabbage is a main ingredient of Kimchi, and basic essential vegetable in Korean dinner table. However, the production of chinese cabbages is influenced by weather and very fluctuating so that the variation of its price is so unstable. Therefore, both consumers and farmers do not feel comfortable at the unstable price of chinese cabbages. In this study, we analyze the real transaction data of chinese cabbage in wholesale markets and meterological factors depending on the variety and geography. We collect and analyze data of meterological factors such as temperatures, humidity, cloudiness, rainfall, snowfall, wind speed, insolation, sunshine duration in producing and consuming region of chinese cabbages. The result of this study shows that the meterological factors such as temperature and humidity significantly influence on the volume and price of chinese cabbage transaction in wholesale market. Especially, the weather of consuming region has greater correlation effects on transaction than that of producing region in all types of chinese cabbages. Among the whole agricultural lifecycle of chinese cabbages, 'seeding - harvest - shipment - wholesale', meterological factors such as temperature and rainfall in shipment and wholesale period are significantly correlated with transaction volume and price of crops. Based on the result of correlation analysis, we make a regression analysis to verify the meterological factors' effects on the volume and price of chines cabbage transaction in wholesale market. The results of stepwise regression analysis are shown in
and
. The type of chinese cabbages are categorized by 5 types, i.e. alpine, gimjang for winter, spring, summer, and winter crop, and all of the regression models are shown significant relationship. In addition, meterological factors in shipment and wholesale period are entered more in regression model than those in seeding and harvest period. This result implies that weather in consuming region is also important in the distribution of chinese cabbages. Based on the result of this study, we find several implications and recommendations for policy makers of agricultural product distribution. The goal of agricultural product distribution policy is to insure proper price and production cost for farmers and provide proper price and quality, and stable supply for consumers. Therefore, coping with the uncertainty of weather is very essential to make a fruitful effect of the policy. In reality, very big part of consumer price of chinese cabbage is made up of the margin of intermediaries, because they take the risk. In addition, policy makers make efforts for farmers to utilize AWIS (Agricultural Weather Information System). In order to do that, it should integrate the relevant information including distribution and marketing as well as production. Offering a consulting service to farmers about weather management is also expected to be a good option in agriculture and weather industry. Reflecting on the result of this study, the distribution authorities can offer the guideline for the timing and volume of harvest, and it is expected to contribute to the stable equilibrium of supply and demand of agricultural products.
A Study on the Damage of Pine Stand by Snowfall (항설(降雪)에 의(依)한 소나무 임분(林分)의 피해(被害)에 관(關)한 연구(硏究))
- Ma, Ho Seop;Kang, Wee Pyeong;Kim, Jai Saing
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- Journal of Korean Society of Forest Science
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- v.73 no.1
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- pp.63-69
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- 1986
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In general, the snow injury in forestry is an unusual disaster. The degree of snow injury varies greatly depending on stand density and the local topography. This study was conducted to investigate the snow injury in analyzing the demaged by snow-fall in Jinju, Gyeongsangnamdo. The results obtained were summarized as follow; Among 466 total damaged trees, 425 trees were broken and 41 trees were uprooted, the ratio of damage were 5.22%, 2.49%, 0.92% and 0.2% for Pinus densiflora, Pinus thunbergii, Pinus rigida, Alnus hirsuta respectively. The 95% of the damage trees were in the range of 3 to 11 m for height and in the range of 3 to 20 cm for D. B. H.. The directions of the damage trees had a large influence by direction of the wind, but they shown at high tendency to aspect of the slope relatively. The 82% of the damaged trees ranged from 11 to 24 age. The ratio of broken height (
$H_B/H$ ) indicated that the damage was most frequent in the part of stem as 24%, 45%, 31% in the part of the root collar (0.1), stem (0.2-0.4), crown (0.5-1.0) respectively. In general, trees with stem-form coefficient ($H_B/D$ ) over 0.7-0.8 are apt to suffer by snow damage. The average of stem-form coefficient of trees in this area was 1.06. Therefore, the ratio of damage was high tendency as 3.14%. These results indicate that it is necessary to apply pertinent tending which will increase in resistance of snow damage. As avalanches from the flank of soil erosion rise in an importance matter in present, it should also be considered to measures for prevention and restoration.
Variation of Indoor Air Temperature by using Hot Water Piping in Greenhouse (온수배관에 의한 온실 내부의 온도변화)
- Yoon, Yong-Cheol;Shin, Yik-Soo;Bae, Seoung-Beom;Kim, Hyeon-Tae;Choi, Jin-Sik;Suh, Won-Myung
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- Journal of agriculture & life science
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- v.46 no.2
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- pp.179-190
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- 2012
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This study was performed to obtain a heat saving effect and enhance the efficiency of a greenhouse by using a hot water piping in order to minimize the operating costs of a greenhouse as oil prices continue to rise. This method also reduces the likelihood of accidents caused by snowdrifts in regions with heavy snowfall. In general, the experimental plot was
$2.0{\sim}6.0^{\circ}C$ higher than the control plot. When the skylight felt was opened, the minimum temperature was in the range of$3.0{\sim}12.0^{\circ}C$ . Therefore, we judged that damage caused by snowdrifts may be prevented partly by active heating. The temperature difference inside of the greenhouse by height was insignificant. The maximum heating load of the greenhouse according to crop was respectively about$37,000kcal{\cdot}h^{-1}$ and$41,700kcal{\cdot}h^{-1}$ . During the experiment, the heat value of each designed temperature in the range of the minimum ambient temperature$-11.9{\sim}4.0^{\circ}C$ was about 95,000~322,000 kcal and it was in the range of$6,050{\sim}20,900kcal{\cdot}h^{-1}$ . If it is compared with the maximum heating load, it can be shown that about 15~56% of the heating energy can be supplied. The total heat value and the amount of power consumption were 2,629,025 kcal and 677.3 kWh respectively during the experiment. If it is heated with diesel, a fossil fuel, the consumption during the experiment was 291 L and the cost was 331,700won. Total cost of using electric power was about 24,400 won and it is shown that it is about 7.5% of the cost of diesel consumption. Also, if the total amount of power consumption is converted into energy, it is approximately 582,200 kcal and the energy was just about 22% of the total heat value.
Nutrient Solute Transport during the Course of Freezing and Thawing of Soils in Korea (동결(凍結)과 해빙(解氷) 기간(期間)중 토양내(土壤內) 양분(養分) 용질(溶質)의 이동(移動))
- Ha, Sng-Keun;Jung, Yeong-Sang;Lim, Hyung-Sik
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- Korean Journal of Soil Science and Fertilizer
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- v.28 no.2
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- pp.135-144
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- 1995
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Understanding on nutrient solute movement during the course of freezing and thawing was attempted through laboratory and field obsevations. Small sectioned tubes with 5cm inner diameter, 0.2cm thick and 1cm long were connected to 30cm long soil columns for laboratory study. The columns were filled with soil, and treated with 20mmol/kg
$KNO_3$ for upper 5cm. The upper end was set in the freezing section, and the lower end was set in the refrigerating section of a refrigerator. Temperature was controlled at$-7({\pm}1)^{\circ}C$ and$1.5({\pm}1)^{\circ}C$ , respectively. After top 5cm soil was frozen, the columns were sectioned, and analyzed for$NO_3^-$ ,$NH_4^+$ and$K^+$ . For field study, the 20cm inner diameter and lm long soil columns were installed in Chuncheon and Daegwanryung, where the altitude was 74m and 840m, respectively. The soils used were silt loam and clay loam. The top 20cm soils were treated with 50mmol/kg as$KNO_3$ . The soil columns were taken during winter freezing and after thawing. By laboratiry study, upward movement of$NO_3^-$ and$K^+$ during the course of freezing was confirmed. The upward movement of$K^+$ was, however, one fifth to one tenth of$NO_3^-$ . The upward movement of inorganic nitrogen as well as laboratory during the course of freezing, but large amount of nitrogen was lost from the profile after thawing in early spring. Leached nitrogen from the upper 20cm to lower part was 17 to 24 percents. The maximum depth of leaching during the experiment was 50cm for all soils. The net loss of inorganic nitrogen from the whole profile ranged 8.7 to 39.5 percents. The net loss was greater in Daegwanryung where temperature was lower and snowfall was larger than Chuncheon, and the loss was greater from the silt loam soil than clay loam soil of which percolation rate was small. The results implied that reasons for nitrogen loss during the winter might include surface washing by snow melt as well as leaching and denitrification.
Predicting Crime Risky Area Using Machine Learning (머신러닝기반 범죄발생 위험지역 예측)
- HEO, Sun-Young;KIM, Ju-Young;MOON, Tae-Heon
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- Journal of the Korean Association of Geographic Information Studies
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- v.21 no.4
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- pp.64-80
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- 2018
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In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by
$250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by$250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.
Frequency analysis for annual maximum of daily snow accumulations using conditional joint probability distribution (적설 자료의 빈도해석을 위한 확률밀도함수 개선 연구)
- Park, Heeseong;Chung, Gunhui
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- Journal of Korea Water Resources Association
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- v.52 no.9
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- pp.627-635
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- 2019
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In Korea, snow damage has been happened in the region with no snowfalls in history. Also, casual damage was caused by heavy snow. Therefore, policy about the Natural Disaster Reduction Comprehensive Plan has been changed to include the mitigation measures of snow damage. However, since heavy snow damage was not frequent, studies on snowfall have not been conducted in different points. The characteristics of snow data commonly are not same to the rainfall data. For example, some parts of the southern coastal areas are snowless during the year, so there is often no values or zero values among the annual maximum daily snow accumulation. The characteristics of this type of data is similar to the censored data. Indeed, Busan observation sites have more than 36% of no data or zero data. Despite of the different characteristics, the frequency analysis for snow data has been implemented according to the procedures for rainfall data. The frequency analysis could be implemented in both way to include the zero data or exclude the zero data. The fitness of both results would not be high enough to represent the real data shape. Therefore, in this study, a methodology for selecting a probability density function was suggested considering the characteristics of snow data in Korea. A method to select probability density function using conditional joint probability distribution was proposed. As a result, fitness from the proposed method was higher than the conventional methods. This shows that the conventional methods (includes 0 or excludes 0) overestimated snow depth. The results of this study can affect the design standards of buildings and also contribute to the establishment of measures to reduce snow damage.
A Study on the Legislative Guidelines for Airline Consumer Protection (항공소비자 보호제도의 입법방향)
- Lee, Chang-Jae
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- The Korean Journal of Air & Space Law and Policy
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- v.32 no.1
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- pp.3-51
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- 2017
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From a historical point of view, while the Warsaw Convention was passed in 1924 to regulate the unified judicial responsibility in the global air transportation industry, protection of airline consumers was somewhat lacking in protecting air carriers. In principle, the air carrier does not bear any obligation or liability when the aircraft is not operated normally due to natural disasters such as typhoon or heavy snowfall. However, in recent years, in developed countries such as the US and Europe, there has been a movement in which regulates the air carriers' obligation to protect their passengers even if there is no misconduct or negligence. Furthermore, the legislation of such advanced countries imposes an obligation on the airlines to compensate the loss separately from damages in case the abnormal operation of the aircraft is not caused by force majeure but caused by their negligence. Under this historical and international context, Korea is also modifying the system of aviation consumer protection by referring to other foreign legislation. However, when compared with foreign countries, our norm has a few drawbacks. First, the airline's protection or care obligations are mixed with the legal liability for damages in the provision, which seems to be due to the lack of understanding of the airline's passenger protection obligation. The liability for damages, which is governed by the International Convention or the Commercial Act, shall be determined by judging the cause of the airline's liability in respect of the damage of the individual passenger in the course of the air transportation. However, the duty to care and the burden for compensation shall be granted to all passengers who feel uncomfortable with the abnormal operation regardless of the cause of the accident. Also, our compensation system for denied boarding due to oversale is too low compared to the case of foreign countries, and setting the compensation amount range differently based on the time for the re-routing is somewhat unclear. Regarding checked-baggage claim, it will be necessary to refund the fee only from the fact that the baggage is delayed without asking whether there is any damage occurred from the delayed baggage. This is the content of the duty to care, which is different from the current Commercial Act or the international convention, in which responsibility is different depending on whether the airline takes all the necessary measures in order to prevent delaying of the baggage. The content of force majeure, which is a requirement for exemption from the obligation to care passengers on the airplane, shall be reconsidered. Maintenance for safe navigation is not considered to be included in force majeure, and connection to airplanes, airport conditions are disputable. According to the EC Regulation, if the cause of the abnormal operation of the airline is force majeure, the airline's compensation obligation is exempted but the duty to care of airline company is still meaningful. Furthermore, even if the main role of aviation consumer protection is on an airline, it is the responsibility of government agencies to supervise the fulfillment of such protection obligations. Therefore, it is necessary for the Korean government to actively take measures such as enforcing incentives for airlines that faithfully fulfill their obligation to care and imposed penalties on the contrary.
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