• Title/Summary/Keyword: 기후기술

Search Result 2,055, Processing Time 0.032 seconds

Implement of Web-based Remote Monitoring System of Smart Greenhouse (스마트 온실 통합 모니터링 시스템 구축)

  • Dong Eok, Kim;Nou Bog, Park;Sun Jung, Hong;Dong Hyeon, Kang;Young Hoe, Woo;Jong Won, Lee;Yul Kyun, Ahn;Shin Hee, Han
    • Journal of Practical Agriculture & Fisheries Research
    • /
    • v.24 no.4
    • /
    • pp.53-61
    • /
    • 2022
  • Growing agricultural products in greenhouses controlled by creating suitable climatic conditions and root zone of crop has been an important research and application subject. Appropriate environmental conditions in greenhouse are necessary for optimum plant growth improved crop yields. This study aimed to establish web-based remote monitoring system which monitors crops growth environment and status of crop on a real-time basis by applying to greenhouses IT technology connecting greenhouse equipment such as temperature sensors, soil sensors, crop sensors and camera. The measuring items were air temperature, relative humidity, solar radiation, CO2 concentration, EC and pH of nutrient solution, medium temperature, EC of medium, water content of medium, leaf temperature, sap flow, stem diameter, fruit diameter, etc. The developed greenhouse monitoring system was composed of the network system, the data collecting device with sensors, and cameras. Remote monitoring system was implemented in a server/client environment. Information on greenhouse environment and crops is stored in a database. Items on growth and environment is extracted from stored information, could be compared and analyzed. So, A integrated monitoring system for smart greenhouse would be use in application practice and understanding the environment and crop growth for smart greenhouse management. sap flow, stem diameter and pant-water relations

Analysis of Cold Air Flow Characteristics according to Urban Spatial Types to Construct a Wind Road - Focused on Urban Area of Changwon - (바람길 조성을 위한 도시공간유형별 찬공기 유동 특성 분석 - 창원시 도시지역을 중심으로 -)

  • LEE, Su-Ah;SONG, Bong-Geun;PARK, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.25 no.2
    • /
    • pp.30-47
    • /
    • 2022
  • This study analyzed the characteristics of cold air flow according to spatial types in urban areas of Changwon-si, Gyeongsangnam-do. The spatial types were classified by cluster analysis considering the land use map, building information, and topographic characteristics produced on the Changwon biotope map. The amount of cold air and wind speed were derived by KLAM_21 modeling. As a result, spatial types were classified into a total of 14 types considering the density and height of buildings, land use types, and topographic characteristics. Cold air flow was found to generate cold air in the valley of the forest area outside urban area, move through roads and open spaces, and accumulate in the low-lying national industrial complex, and then spread cold air throughout the urban areas. There was a lot of cold air flow in the tall building area, and the cold air accumulation was less in the slope and ridge areas. The results of this study were able to understand the characteristics of cold air flow according to building density, land use type, and topography, which will be usefully used as basic data for urban wind road construction to mitigate climate and improve air quality in urban areas.

Evaluation of Crop Production Increase through Insect Pollination Service in Korean Agriculture (한국 농업에서 곤충 화분매개 서비스를 통한 식량 생산 증진 기능 평가)

  • Jung, Chuleui;Shin, Jong Hwa
    • Korean journal of applied entomology
    • /
    • v.61 no.1
    • /
    • pp.229-238
    • /
    • 2022
  • Animal pollination is an important ecosystem service provided mostly by diverse insect groups such as bees and hover flies. Maintaining agricultural productivity and securing the nutritional balance are closely tied to human wellbeing. This study aimed to estimate the pollination dependent food production in Korean agricultural system. Crop production data were obtained from Korean statistical information service (KOSIS) data of 2015. By implementing pollination dependency, crop production and market price, contribution of insect pollination to crop production increase were estimated from total 71 crops including 12 cereals, 19 fruits, 18 field vegetables, 13 greenhouse vegetables and 9 specialty crops. Mean pollination dependency of all crops were 29.2% and it was higher on fruits, specialty crops and greenhouse vegetables as well, but low (7.5%) in cereal crops. Pollination dependent (PD) production was estimated as 17.8% of total agricultural crop production with the economic value of 6,850 (6,508-7,193) billion won. Especially, PD production of greenhouse vegetables accounted 49.2% followed by fruits of 42.9%. Even specialty crop also showed higher PD production (35.9%). It was obvious that pollination is the vital service for agricultural production as well as nutritional security in Korea. Further protection and enhancing the pollination service were discussed with integrated pollinator-pest management (IPPM) strategies.

Research Trend on Precious Metal-Based Catalysts for the Anode in Polymer Electrolyte Membrane Water Splitting (고분자 전해질막 수전해의 산화 전극용 귀금속 촉매의 연구 동향)

  • Bu, Jong Chan;Jung, Won Suk;Lim, Da Bin;Shim, Yu-Jin;Cho, Hyun-Seok
    • Journal of the Korean Electrochemical Society
    • /
    • v.25 no.4
    • /
    • pp.154-161
    • /
    • 2022
  • The carbon-neutrality induced by the global warming is important for the modern society. Hydrogen has been received the attention as a new energy source to replace the fossil fuels. Polymer electrolyte membrane fuel cells, which convert the chemical reaction energy of hydrogen into electric power directly, are a type of eco-friendly power for future vehicles. Due to the sluggish oxygen reduction reaction and costly Pt catalyst in the cathode, the research related to the replacement of Pt-based catalysts has been vitally carried out. In this case, however, the performance is significantly different from each other and a variety of factors have existed. In this review paper, we rearrange and summarize relevant papers published within 5 years approximately. The selection of precursors, synthesis method, and co-catalyst are represented as a core factor, while the necessity of research for the further enhancement of activity may be raised. It can be anticipated to contribute to the replacement of precious metal catalysts in the various fields of study. The final objective of the future research is depicted in detail.

A Study on Changes in the Characteristics of Typhoons around the Korean Peninsula for Coastal Disaster Prevention (해안 방재를 위한 한반도의 태풍 특성 변화 연구)

  • Young Hyun, Park
    • Journal of Korean Society of Coastal and Ocean Engineers
    • /
    • v.34 no.6
    • /
    • pp.325-334
    • /
    • 2022
  • It has been more than 30 years since the term climate change began to become popular, but recently, rapid accelerated phenomena are appearing in the form of extreme weather all over the world. It is showing a distinctly different phenomenon from previous years, with heavy rain falling in the Death Valley desert in the U.S., and temperatures rising more than 40 degrees in Europe. In the Korean Peninsula, super typhoons with very strong wind speeds have become a major disaster risk for many years, and the supply of more energy due to the rise in sea temperature increases the possibility of super typhoons, requiring a proactive response. Unlike the method using numerical analysis, this study analyzed past typhoon data to study changes in typhoon characteristics for coastal disaster prevention. Existing studies have targeted all typhoons that have occurred, but in this study, a specific area was set up in the southern ocean of the Korean Peninsula and then a study was conducted. The subjects of the study were typhoons that occurred over the past 40 years from 1980 to the present, and it was confirmed that the maximum wind speed of typhoons affecting the Korean Peninsula increased slightly. The wind speed of typhoons in the specific area is about 80% of the maximum wind speed in their lifetime, and a correlation with ENSO could not be confirmed.

Health Risk Assessment by Exposure to Heavy Metals in PM2.5 in Ulsan Industrial Complex Area (울산 산단지역 PM2.5 중 중금속 노출에 의한 건강위해성평가)

  • Ji-Yun Jung;Hye-Won Lee;Si-Hyun Park;Jeong-Il Lee;Dan-Ki Yoon;Cheol-Min Lee
    • Journal of Environmental Health Sciences
    • /
    • v.49 no.2
    • /
    • pp.108-117
    • /
    • 2023
  • Background: When particles are absorbed into the human body, they penetrate deep into the lungs and interact with the tissues of the body. Heavy metals in PM2.5 can cause various diseases. The main source of PM2.5 emissions in South Korea's atmosphere has been surveyed to be places of business. Objectives: The concentration of heavy metals in PM2.5 near the Ulsan Industrial Complex was measured and a health risk assessment was performed for residents near the industrial complex for exposure to heavy metals in PM2.5. Methods: Concentrations of heavy metals in PM2.5 were measured at four measurement sites (Ulsan, Mipo, Onsan, Maegok) near the industrial complexes. Heavy metals were analyzed according to the Air Pollution Monitoring Network Installation and Operation Guidelines presented by the National Institute of Environmental Research. Among them, only five substances (Mn, Ni, As, Cd, Cr6+) were targeted. The risk assessment was conducted on inhalation exposure for five age groups, and the excess cancer risk and hazard quotient were calculated. Results: In the risk assessment of exposure to heavy metals in PM2.5, As, Cd, and Cr6+ exceeded the risk tolerance standard of 10-6 for carcinogenic hazards. The highest hazard levels were observed in Onsan and Mipo industrial complexes. In the case of non-carcinogenic hazards, Mn was identified as exceeding the hazard tolerance of 1, and it showed the highest hazard in the Ulsan Industrial Complex. Conclusions: This study presented a detailed health risk from exposure to heavy metals in PM2.5 by industrial complexes located in Ulsan among five age groups. It is expected to be utilized as the basis for preparing damage control and industrial emission reduction measures against PM2.5 exposure at the Ulsan Industrial Complex.

Analysis of effects of drought on water quality using HSPF and QUAL-MEV (HSPF 및 QUAL-MEV를 이용한 가뭄이 수질에 미치는 영향 분석)

  • Lee, Sangung;Jo, Bugeon;Kim, Young Do;Lee, Joo-Heon
    • Journal of Korea Water Resources Association
    • /
    • v.56 no.6
    • /
    • pp.393-402
    • /
    • 2023
  • Drought, which has been increasing in frequency and magnitude due to recent abnormal weather events, poses severe challenges in various sectors. To address this issue, it is important to develop technologies for drought monitoring, forecasting, and response in order to implement effective measures and safeguard the ecological health of aquatic systems during water scarcity caused by drought. This study aimed to predict water quality fluctuations during drought periods by integrating the watershed model HSPF and the water quality model QUAL-MEV. The researchers examined the SPI and RCP 4.5 scenarios, and analyzed water quality changes based on flow rates by simulating them using the HSPF and QUAL-MEV models. The study found a strong correlation between water flow and water quality during the low flow. However, the relationship between precipitation and water quality was deemed insignificant. Moreover, the flow rate and SPI6 exhibited different trends. It was observed that the relationship with the mid- to long-term drought index was not significant when predicting changes in water quality influenced by drought. Therefore, to accurately assess the impact of drought on water quality, it is necessary to employ a short-term drought index and develop an evaluation method that considers fluctuations in flow.

A Qualitative Study on the Anthropocene Perception and Experience of Undergraduates Using Focus Group Interviews (FGI) (포커스 그룹 인터뷰(FGI)를 활용한 학부생들의 인류세 인식과 경험에 대한 질적 연구)

  • Chu, Sung-Kyung;Byeon, So-Yeon;Yoon, Hae-Gyung
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.5
    • /
    • pp.620-632
    • /
    • 2022
  • In order to prepare for the Anthropocene, this study aims to provide basic data on the direction of the Anthropocene liberal arts education by sharing experiences on anthropocene perception for undergraduates using the FGI analysis method. Interviews were conducted on 14 people who participated in liberal arts tutoring for about four months from October 2021 to January 2022, and as a result of confirming meaningful concepts according to qualitative analysis methods, a total of three topics, eight subcategories, and 16 sub-units were derived. "The advent of the new geological age" recognized that the anthrop tax was close to our lives, and it was time to predict the future through the meaning, seriousness, and development potential of the anthrop tax, and "Anthropocene Reorganization and Responsibility" emphasized the reorganization and responsibility of individuals, companies, and governments. The Direction of Human Tax Liberal Education proposed future basic liberal arts education, action practice for climate change, measures to overcome the anthropology using ICT technology, and various liberal arts education contents for a positive anthropology. In this regard, this study raised perception of the survival of mankind by in-depth exploration of the anthropocene in terms of liberal arts education, suggested the direction of future liberal arts education necessary in the anthropocene era, and suggested implications for the educational content and method.

Sea Ice Drift Tracking from SAR Images and GPS Tracker (SAR 영상과 GPS 추적기를 이용한 여름철 해빙 이동 궤적 추적)

  • Jeong-Won Park;Hyun-Cheol Kim;Minji Seo;Ji-Eun Park;Jinku Park
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.3
    • /
    • pp.257-268
    • /
    • 2023
  • Sea ice plays an important role in Earth's climate by regulating the amount of solar energy absorbed and controlling the exchange of heat and material across the air-sea interface. Its growth, drift, and melting are monitored on a regular basis by satellite observations. However, low-resolution products with passive microwave radiometer have reduced accuracy during summer to autumn when the ice surface changes rapidly. Synthetic aperture radar (SAR) observations are emerging as a powerful complementary, but previous researches have mainly focused on winter ice. In this study, sea ice drift tracking was evaluated and analyzed using SAR images and tracker with global positioning system (GPS) during late summer-early autumn period when ice surface condition changes a lot. The results showed that observational uncertainty increases compared to winter period, however, the correlation coefficient with GPS measurements was excellent at 0.98, and the performance of the ice tracking algorithm was proportional to the sea ice concentration with a correlation coefficient of 0.59 for ice concentrations above 50%.

A study on the prediction of aquatic ecosystem health grade in ungauged rivers through the machine learning model based on GAN data (GAN 데이터 기반의 머신러닝 모델을 통한 미계측 하천에서의 수생태계 건강성 등급 예측 방안 연구)

  • Lee, Seoro;Lee, Jimin;Lee, Gwanjae;Kim, Jonggun;Lim, Kyoung Jae
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2021.06a
    • /
    • pp.448-448
    • /
    • 2021
  • 최근 급격한 기후변화와 도시화 및 산업화로 인한 지류하천에서의 수량과 수질의 변동은 생물 다양성 감소와 수생태계 건강성 저하에 큰 영향을 미치고 있다. 효율적인 수생태 관리를 위해서는 지속적인 유량, 수질, 그리고 수생태 모니터링을 통한 데이터 축적과 더불어 면밀한 상관 분석을 통해 수생태계 건강성의 악화 원인을 규명해야 할 필요가 있다. 그러나 수많은 지류하천을 대상으로 한 지속적인 모니터링은 현실적으로 어려움이 있으며, 수생태계의 특성 상 단일 영향 인자만으로 수생태계의 건강성 변화와의 관계를 정확히 파악하는데 한계가 있다. 따라서 지류하천에서의 유량 및 수질의 시공간적인 변동성과 다양한 영향 인자를 고려하여 수생태계의 건강성을 효율적으로 예측할 수 있는 기술이 필요하다. 이에 본 연구에서는 경험적 데이터 기반의 머신러닝 모델 구축을 통해 미계측 하천에서의 수생태계 건강성 지수(BMI, TDI, FAI)의 등급(A to E)을 예측하고자 하였다. 머신러닝 모델은 학습 데이터셋의 양과 질에 따라 성능이 크게 달라질 수 있으며, 학습 데이터셋의 분포가 불균형적일 경우 과적합 또는 과소적합 문제가 발생할 수 있다. 이를 보완하고자 본 연구에서는 실제 측정망 데이터셋을 바탕으로 생성적 적대 신경망 GAN(Generative Adversarial Network) 알고리즘을 통해 머신러닝 모델 학습에 필요한 추가 데이터셋(유량, 수질, 기상, 수생태 등급)을 확보하였다. 머신러닝 모델의 성능은 5차 교차검증 과정을 통해 평가하였으며, GAN 데이터셋의 정확도는 실제 측정망 데이터셋의 정규분포와의 비교 분석을 통해 평가하였다. 최종적으로 SWAT(Soil and Water Assessment Tool) 모형을 통해 예측 된 미계측 하천에서의 데이터셋을 머신러닝 모델의 검증 자료로 사용하여 수생태계 건강성 등급 예측 정확도를 평가하였다. 본 연구에서의 GAN에 의해 강화된 머신러닝 모델은 수질 및 수생태 관리가 필요한 우심 지류하천 선정과 구조적/비구조적 최적관리기법에 따른 수생태계 건강성 개선 효과를 평가하는데 활용될 수 있을 것이다. 또한 이를 통해 예측된 미계측 하천에서의 수생태계 건강성 등급 자료는 수량-수질-수생태를 유기적으로 연계한 통합 물관리 정책을 수립하는데 기초자료로 활용될 수 있을 것이라 사료된다.

  • PDF