• Journal of Soil and Groundwater Environment
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• v.23 no.6
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• pp.37-45
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• 2018

The source of Chusan Spring water in the Ulleungdo is the precipitation in the Nari caldera basin, which permeates in the Trachitic pumice and tuff area and moves downward, outflowing at the lithologic boundary between the trachyte and Nari tuff. It is known that the discharge rate of the Chusan Spring is large enough to be used for the small hydroelectric power generation, but the exact discharge rate and hydrogeologic characteristics have not been known. The discharge rates of the Spring were measured 11 times, which ranged from $15,220m^3/d$ to $36,278m^3/d$. The discharge rates, measured by the automatic level recorder, for two-year period, were $20,000{\sim}38,000m^3/d$. The variation of discharge rates did not coincide with rainfall event, but showed daily increases of $3,000{\sim}5,000m^3/d$. The annual discharge rate excluding the evapotranspiration and the surrounding stream discharge corresponded to 70.6% of the annual precipitation of the recharge area. Therefore, meteorological observations at the Nari basin, rather than the Ulleung-do meteorological station, are more appropriate to properly interpret the discharge characteristics of the Chusam Spring and the recharge rate of the basin.

• Smart Media Journal
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• v.8 no.1
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• pp.82-91
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• 2019

This study provides the analysis and prediction of fruits diseases related to weather conditions (temperature, wind speed, solar power, rainfall and humidity) using Linear Model and Poisson Regression. The main goal of the research is to control the method of fruits diseases and also to prevent diseases using less agricultural pesticides. So, it is needed to predict the fruits diseases with weather data. Initially, fruit data is used to detect the fruit diseases. If diseases are found, we move to the next process and verify the condition of the fruits including their size. We identify the growth of fruit and evidence of diseases with Linear Model. Then, Poisson Regression used in this study to fit the model of fruits diseases with weather conditions as an input provides the predicted diseases as an output. Finally, the residuals plot, Q-Q plot and other plots help to validate the fitness of Linear Model and provide correlation between the actual and the predicted diseases as a result of the conducted experiment in this study.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.114-114
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• 2023

기상레이더는 대류권의 기상 관측에 널리 사용되며, 기상예보를 비롯하여 항공, 농업, 수문학 등 다양한 분야에서 활용하고 있다. 기상레이더센터는 SSPA(Solid State Power Amplifier) 기반 X-Band 주파수대역(9GHz)을 사용하는 연구용 소형기상레이더 관측망을 운영하고 있다. 주로 수도권 저층 대기에서 발생하는 위험 기상현상을 1분 단위로 빠르게 관측하면서 정확한 강수 정보생산을 위한 연구를 수행하고 있다. 레이더 관측 자료는 전파를 이용하여 넓은 범위에 분포하는 눈, 비, 우박 등 대기수상체를 관측하여, 강수량 추정을 통해 강수 정보를 생산한다. 이에 따라 레이더 관측 자료의 정확성과 신뢰도를 높이기 위해서 레이더 품질관리 기술 적용은 필수적이다. 기상레이더센터는 소형기상레이더로 관측한 이중편파 자료의 효과적인 품질관리를 위한 각종 자료처리 모듈을 개발하여, 실시간 자료처리 프로그램에 적용하였다. 우선, 저층 대기 관측 시 기상에코와 더불어 강한 반사도로 나타나는 지형에코를 판별하는 모듈과 선형 또는 쐐기형태의 전파간섭에코를 비롯한 비기상에코를 효과적으로 제거하는 기술을 개발하였다. 다음으로, X-Band 주파수대역 기상레이더 관측 자료의 취약점인 강한 강수 시 발생하는 반사도 감쇠 현상을 보정하기 위한 기술도 개발하였다. 소형기상레이더 품질관리 개발과 적용을 통하여 생산된 자료는 HSR(Hybrid Surface Rainfall), 레이더 강수량 추정, 대기수상체 등 다양한 기상 산출물 생산과 동시에 기상 감시 및 연구 분야에 효과적으로 활용하고 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.33-33
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• 2023

In this article, the challenges of Iran and the world are compared to the management of available water resources. Especially in recent years, according to the climatic changes that have occurred all over the world and the changes in the rainfall patterns, and the corresponding changes in the management of water resources, the situation in Iran is being investigated. According to the available information, the amount of water on the planet is estimated to be about 1.36 billion cubic kilometers, which covers about 71% of the earth's surface. However, about 97.5% of the water in the world is salty ocean water and only 2.5% is fresh. Therefore, only 0.025% of the total water on the planet will be usable. According to United Nations statistics, 61% of the world's water consumption is in agriculture, 23% in industry, and 8% for drinking, household, and health purposes. Considering the large number of dams in Iran, only 6% of all dams are used to produce electric energy, which is a significant difference compared to the world (approximately 19%).

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.17-28
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• 2023

Today Agriculture segment is a significant supporter of Indian economy as it represents 18% of India's Gross Domestic Product (GDP) and it gives work to half of the nation's work power. Farming segment are required to satisfy the expanding need of food because of increasing populace. Therefore, to cater the ever-increasing needs of people of nation yield prediction is done at prior. The farmers are also benefited from yield prediction as it will assist the farmers to predict the yield of crop prior to cultivating. There are various parameters that affect the yield of crop like rainfall, temperature, fertilizers, ph level and other atmospheric conditions. Thus, considering these factors the yield of crop is thus hard to predict and becomes a challenging task. Thus, motivated this work as in this work dataset of different states producing different crops in different seasons is prepared; which was further pre-processed and there after machine learning techniques Gradient Boosting Regressor, Random Forest Regressor, Decision Tree Regressor, Ridge Regression, Polynomial Regression, Linear Regression are applied and their results are compared using python programming.

• Asian Journal of Atmospheric Environment
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• v.5 no.2
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• pp.134-143
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• 2011

The present study aimed to investigate the diurnal variations in air concentrations and exchange fluxes of ammoniacal nitrogen ($NH_x$: ammonia ($NH_3$) and particulate ammonium) in a subalpine deciduous forest in central Japan during a week in summer. The $NH_3$ concentrations ($0.50\;{\mu}g\;N\;m^{-3}$ on average) showed a clear circadian variation, i.e., high and low in the daytime and nighttime, respectively. The concentration of particulate ammonium in the coarse fractions was extremely low, whereas that for the PM2.5 fraction was relatively high $0.55\;{\mu}g\;N\;m^{-3}$ on average). The main inorganic ion components of PM2.5 at the study site were ammonium and sulfate. The exchange fluxes of $NH_x$ were bidirectional. Both the maximum and minimum values occurred in the daytime, i.e., $0.39\;mg\;N\;m^{-2}\;hr^{-1}$ of downward flux and $0.11\;mg\;N\;m^{-2}\;hr^{-1}$ of upward flux for $NH_3$ and $0.25\;mg\;N\;m^{-2}\;hr^{-1}$ of downward flux and $0.13\;mg\;N\;m^{-2}\;hr^{-1}$ of upward flux for PM2.5 ammonium. The exchange fluxes of $NH_x$ at night could be considered as zero. The mean deposition velocity during the research period was almost zero for both $NH_3$ and PM2.5 ammonium. The atmosphere-forest exchange of $NH_x$ in the forest during the study period was balanced. The remarkably large deposition of $NH_x$ was attributable to meteorological events such as showers the night before that thoroughly washed the forest canopy and subsequent clear skies in the morning, which enhanced convection. The cleaning effect of rainfall and the rapid change in convection in the early morning should be monitored to evaluate and generalize the gas and particle exchange in a forest.

• Journal of Environmental Impact Assessment
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• v.20 no.2
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• pp.227-234
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• 2011

In the study, CE-QUAL-W2 was used and its examination and correction were conducted targeting 2001 and 2003 when the condition of rainfall was contradicted. Using the proved model in 2003, a scenario was implemented with management of locations for dewatering outlets and actual data for dam management in 1987 when inflow and outflow level were almost same. In case of the scenario which the location of dewatering outlets was 5m higher than usual location, exclusion efficiency for turbid water inflow at the beginning of precipitation was good. In case of the scenario which the location of dewatering outlets was 10m lower than usual location, exclusion efficiency for excluding turbid water remained in a reservoir after the end of precipitation. However, the scenario applying dam management data in 1987, exclusion efficiency was relatively low. In the scenario, power-generating water release spot at EL.57m for first four days after the beginning of precipitation, EL.52m for 5th to 8th and EL.42m from 9th days. An analysis of the scenario reveals that both excessive days exceeded 30 NTU and average turbidity levels were decreased comparing before and after the alteration on outlets. The average turbidity levels were decreased by minimum of 55% to maximum of 70% and 30NTU exceeding days were decreased by 45 days at maximum. Also, since it could exclude most of turbid water in a reservoir before the destatifcation, the risk for turbid water evenly distributed in a reservoir along with turn-over could be decreased as well.

• Journal of Korea Water Resources Association
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• v.36 no.1
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• pp.87-104
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• 2003

A numerical model of surface runoff and river flow has been applied to small- and large-size catchment areas in order to investigate the physical characteristics of river flow during flood period. Several refinements are made on the existing model SIRG-RS for the ways of rainfall input through surface runoff, river junction treatment and the computation of river flow on steep slope. For the computation of frictional forces, employed is the power law of friction factor which is a function of Reynolds number and relative roughness height. The empirical equation of friction factor is developed using recent field data as well as laboratory data. The refined model has been applied to small-size catchment area as well as large-size catchment area, and the computation results are found in good agreement with the observations in both cases.

• Journal of Korea Water Resources Association
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• v.35 no.6
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• pp.797-805
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• 2002

The EV ROM, a joint reservoir operation model for flood control that accounts for the downstream flow condition, has been introduced in the preceding article (Shin et al, 2000). A joint reservoir operation model computer program for the Geum river basin, developed by FORTRAN Power Station 4.0 using the EV ROM, is hereby presented. Three case studies of flood control by joint operation of the Yongdam and Daechung Multipurpose Dams in the Geum river basin revealed that the performance of the EV ROM was superior to the existing Rigid ROM and Technical ROM. This is because the EV ROM can account for the downstream flow condition as well as the upstream inflow and the reservoir water level. In order to apply for various floods events in the future, consistent improvement of the developed EV ROM and efforts for more accurate rainfall prediction are required.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.5
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• pp.477-484
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• 2020

Reservoir operation affects the sustainability of a water supply. However, the increase in the temporal and spatial variability of rainfall, attributed to climate change, has led to severe droughts and increased difficulty in maintaining a sustainable discharge at certain locations in a reservoir system operation. In this study, water yield was evaluated using reservoir simulation with varied water supply. Three reservoir system models were simulated for nine reservoirs in the Han River basin. The time-based reliability, volumetric reliability, and resiliency were used to evaluate the results. Each case was simulated by applying firm supply, deficit supply, and deficit supply with historical power release of the Hwacheon Reservoir. As a result of the simulation, all indexes were increased when the deficit supply was applied. In particular, the time-based reliability increased by more than 30%, and the supply reliability increased by about 4%. The result showed that the water supply of the entire water system could be increased when all reservoirs in the water system were operated to supply water and maintain sustainable discharge at the same downstream point. The deficit supply was an efficient reservoir operation method for responding to climate change, especially increased rainfall variability.