• Title/Summary/Keyword: geo-climate

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Estimation on an Amount of the Groundwater Demand and Supply for Applying the Well-network System (WNS) to a Frequent-drought Area (관정연계이용 기술 적용을 위한 상습가뭄지역 지하수 수요-공급량 평가)

  • Lee, Byung Sun;Jeong, Chanduck;Lee, Gyusang;Ha, Kyoochul;Lee, Jong-Hwa;Song, Sung-Ho
    • Journal of Soil and Groundwater Environment
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    • v.27 no.2
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    • pp.24-35
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    • 2022
  • This study was conducted to estimate groundwater demand and supply for agricultural activities in a frequent-drought area that requires implementation of optimal distribution plan utilizing the well-network system (WNS). The WNS has been considered as a viable strategic way of supplying groundwater to farmlands by connecting groundwater wells physically or virtually. The study area heavily relied on groundwater resources for irrigation up to 53% due to a lack of surface water resources. Two kinds of methods, HOMWRS software and FAO approach, were used for estimating irrigation water requirements for paddy and upland fields, respectively. During the latest 10 years (2010~2019), the water requirements was estimated to be 1,106 m3/day. The requirements notably increased to 1,121~4,004 m3/day during active farming season (May to September), which exceeded the total yield capacity of pre-existing groundwater wells (2,356 m3/day) in the area. Detailed and definite determination for groundwater demand and supply helped to determine optimal scale parameters of WNS. The WNS has achieved more balanced distribution of groundwater resources for irrigation over the study area.

Estimation for Ground Air Temperature Using GEO-KOMPSAT-2A and Deep Neural Network (심층신경망과 천리안위성 2A호를 활용한 지상기온 추정에 관한 연구)

  • Taeyoon Eom;Kwangnyun Kim;Yonghan Jo;Keunyong Song;Yunjeong Lee;Yun Gon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.2
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    • pp.207-221
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    • 2023
  • This study suggests deep neural network models for estimating air temperature with Level 1B (L1B) datasets of GEO-KOMPSAT-2A (GK-2A). The temperature at 1.5 m above the ground impact not only daily life but also weather warnings such as cold and heat waves. There are many studies to assume the air temperature from the land surface temperature (LST) retrieved from satellites because the air temperature has a strong relationship with the LST. However, an algorithm of the LST, Level 2 output of GK-2A, works only clear sky pixels. To overcome the cloud effects, we apply a deep neural network (DNN) model to assume the air temperature with L1B calibrated for radiometric and geometrics from raw satellite data and compare the model with a linear regression model between LST and air temperature. The root mean square errors (RMSE) of the air temperature for model outputs are used to evaluate the model. The number of 95 in-situ air temperature data was 2,496,634 and the ratio of datasets paired with LST and L1B show 42.1% and 98.4%. The training years are 2020 and 2021 and 2022 is used to validate. The DNN model is designed with an input layer taking 16 channels and four hidden fully connected layers to assume an air temperature. As a result of the model using 16 bands of L1B, the DNN with RMSE 2.22℃ showed great performance than the baseline model with RMSE 3.55℃ on clear sky conditions and the total RMSE including overcast samples was 3.33℃. It is suggested that the DNN is able to overcome cloud effects. However, it showed different characteristics in seasonal and hourly analysis and needed to append solar information as inputs to make a general DNN model because the summer and winter seasons showed a low coefficient of determinations with high standard deviations.

Comparison of Wind Vectors Derived from GK2A with Aeolus/ALADIN (위성기반 GK2A의 대기운동벡터와 Aeolus/ALADIN 바람 비교)

  • Shin, Hyemin;Ahn, Myoung-Hwan;KIM, Jisoo;Lee, Sihye;Lee, Byung-Il
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1631-1645
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    • 2021
  • This research aims to provide the characteristics of the world's first active lidar sensor Atmospheric Laser Doppler Instrument (ALADIN) wind data and Geostationary Korea Multi Purpose Satellite 2A (GK2A) Atmospheric Motion Vector (AMV) data by comparing two wind data. As a result of comparing the data from September 2019 to August 1, 2020, The total number of collocated data for the AMV (using IR channel) and Mie channel ALADIN data is 177,681 which gives the Root Mean Square Error (RMSE) of 3.73 m/s and the correlation coefficient is 0.98. For a more detailed analysis, Comparison result considering altitude and latitude, the Normalized Root Mean Squared Error (NRMSE) is 0.2-0.3 at most latitude bands. However, the upper and middle layers in the lower latitudes and the lower layer in the southern hemispheric are larger than 0.4 at specific latitudes. These results are the same for the water vapor channel and the visible channel regardless of the season, and the channel-specific and seasonal characteristics do not appear prominently. Furthermore, as a result of analyzing the distribution of clouds in the latitude band with a large difference between the two wind data, Cirrus or cumulus clouds, which can lower the accuracy of height assignment of AMV, are distributed more than at other latitude bands. Accordingly, it is suggested that ALADIN wind data in the southern hemisphere and low latitude band, where the error of the AMV is large, can have a positive effect on the numerical forecast model.

Trend Analysis of Vegetation Changes of Korean Fir (Abies koreana Wilson) in Hallasan and Jirisan Using MODIS Imagery (MODIS 시계열 위성영상을 이용한 한라산과 지리산 구상나무 식생 변동 추세 분석)

  • Minki Choo;Cheolhee Yoo;Jungho Im;Dongjin Cho;Yoojin Kang;Hyunkyung Oh;Jongsung Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.3
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    • pp.325-338
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    • 2023
  • Korean fir (Abies koreana Wilson) is one of the most important environmental indicator tree species for assessing climate change impacts on coniferous forests in the Korean Peninsula. However, due to the nature of alpine and subalpine regions, it is difficult to conduct regular field surveys of Korean fir, which is mainly distributed in regions with altitudes greater than 1,000 m. Therefore, this study analyzed the vegetation change trend of Korean fir using regularly observed remote sensing data. Specifically, normalized difference vegetation index (NDVI) from Moderate Resolution Imaging Spectroradiometer (MODIS), land surface temperature (LST), and precipitation data from Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievalsfor GPM from September 2003 to 2020 for Hallasan and Jirisan were used to analyze vegetation changes and their association with environmental variables. We identified a decrease in NDVI in 2020 compared to 2003 for both sites. Based on the NDVI difference maps, areas for healthy vegetation and high mortality of Korean fir were selected. Long-term NDVI time-series analysis demonstrated that both Hallasan and Jirisan had a decrease in NDVI at the high mortality areas (Hallasan: -0.46, Jirisan: -0.43). Furthermore, when analyzing the long-term fluctuations of Korean fir vegetation through the Hodrick-Prescott filter-applied NDVI, LST, and precipitation, the NDVI difference between the Korean fir healthy vegetation and high mortality sitesincreased with the increasing LST and decreasing precipitation in Hallasan. Thissuggests that the increase in LST and the decrease in precipitation contribute to the decline of Korean fir in Hallasan. In contrast, Jirisan confirmed a long-term trend of declining NDVI in the areas of Korean fir mortality but did not find a significant correlation between the changes in NDVI and environmental variables (LST and precipitation). Further analyses of environmental factors, such as soil moisture, insolation, and wind that have been identified to be related to Korean fir habitats in previous studies should be conducted. This study demonstrated the feasibility of using satellite data for long-term monitoring of Korean fir ecosystems and investigating their changes in conjunction with environmental conditions. Thisstudy provided the potential forsatellite-based monitoring to improve our understanding of the ecology of Korean fir.

A Study on An Integrated GEO/TES with Geothermal Heat Exchanger and Thermal Ice Storage (지중열 교환기와 빙축열조(Thermal Ice Storage)를 연계시킨 통합 지중열-빙축열조 시스템(Integrated GEO/TES))

  • Lohrenz ED.;Hahn Jeongsang;Han Hyuk Sang;Hahn Chan;Kim Hyoung Soo
    • Economic and Environmental Geology
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    • v.38 no.6 s.175
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    • pp.717-729
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    • 2005
  • Peak cooling load of large buildings is generally greater than their peak heating load. Internal and solar heat gains are used fur selection of adquate equipment in large building in cold winter climate like Canada and even Korea. The cost of geothermal heat exchanger to meet the cooling loads can increase the initial cost of ground source heat pump system to the extend less costly conventional system often chosen. Thermal ice storage system has been used for many years in Korea to reduce chiller capacity and shift Peak electrical time and demand. A distribution system designed to take advantage of heat extracted from the ice, and use of geothermal loop (geothermal heat exchanger) to heat as an alternate heat source and sink is well known to provide many benifits. The use of thermal energy storage (TES) reduces the heat pump capacity and peak cooling load needed in large building by as much as 40 to $60\%$ with less mechanical equipment and less space for mechanical room. Additionally TES can reduce the size and cost of the geothermal loop by 1/3 to 1/4 compared to ground coupled heat pump system that is designed to meet the peak heating and cooling load and also can eliminate difficuties of geothermal loop installation such as space requirements and thermal conditions of soil and rock at the urban area.

A Study on Scenario to establish Coastal Inundation Prediction Map due to Storm Surge (폭풍해일에 의한 해안침수예상도 작성 시나리오 연구)

  • Moon, Seung-Rok;Kang, Tae-Soon;Nam, Soo-Yong;Hwang, Joon
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.19 no.5
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    • pp.492-501
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    • 2007
  • Coastal disasters have become one of the most important issues in every coastal country. In Korea, coastal disasters such as storm surge, sea level rise and extreme weather have placed many coastal regions in danger of being exposed or damaged during subsequent storms and gradual shoreline retreat. A storm surge is an onshore gush of water associated with a tow pressure weather system, typically in typhoon season. However, it is very difficult to predict storm surge height and inundation due to the irregularity of the course and intensity of a typhoon. To provide a new scheme of typhoon damage prediction model, the scenario which changes the central pressure, the maximum wind radius, the track and the proceeding speed by corresponding previous typhoon database, was composed. The virtual typhoon scenario database was constructed with individual scenario simulation and evaluation, in which it extracted the result from the scenario database of information of the hereafter typhoon and information due to climate change. This virtual typhoon scenario database will apply damage prediction information about a typhoon. This study performed construction and analysis of the simulation system with the storm surge/coastal inundation model at Masan coastal areas, and applied method for predicting using the scenario of the storm surge.

A Development Plan for Integrated Inventory Management System to Support Decision Making for Disaster Response (재난대응 의사결정 지원을 위한 인벤토리 통합 관리 시스템 구축 방안)

  • Choi, Soo-Young;Gang, Su-Myung;Kim, Jin-Man;Oh, Eun-Ho;Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.4
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    • pp.179-188
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    • 2014
  • Social overhead capital (SOC) facilities are being threatened continuously by abnormal climate events that are increasing globally. For disaster response, rapid decision making on evacuation routes and other matters is critical. For this purpose, spatiotemporal information that combine data on disasters and SOC facilities needs to be utilized. This information is separately collected by government agencies and public organizations, and is not managed in an integrated manner. For rapid disaster response, an integrated management of separately collected disaster data and the creation of such information as the safety and damages on SOC facilities are required. To achieve this goal, it is essential to build inventories that integrate all the related information to support decision making indispensable for disaster response. In this study, a development plan for an integrated inventory management system based on the management and connection of inventories to support rapid decision making for disaster response is proposed. This system can collect and standardize data related to disasters and SOC facilities that are being managed separately and provide integrated information in line with the needs of users. The proposed system can be used as a decision making tool for proactive disaster response.

Analysis on Effect of Construction Facilities depending on a Scenario of Sea Level Rise around Jeju Coastal Area (해수면 상승 시나리오에 따른 제주연안지역 건설시설물의 영향 분석)

  • Lee, Dong Wook;Bu, Yang Su
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.267-274
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    • 2011
  • In this study, around Jeju area where climatic change is most considerably appearing in Han Peninsula, we prepared sea level rise height caused by sea level rise (Seogwipo 5.6 mm/yr, Jeju 5.3 mm/yr) and a sea level rise scenario for the case when an enlarged typhoon attacks during high water ordinary spring tide, and evaluated flooding area and effect on road and facility using Digital Elevation Model(DEM) and GIS Spatial Analysis Technique. As a result, the flooding areas were shown to be 2.9 $km^2$ in 2040, 5.4 $km^2$ in 2070, and maximum 5.4 $km^2$ in 2100. Analyzing the effect of flooding on each type of road, the local roads(Gun-do) were shown to be mostly affected. The most flood effected facilities were individual houses. Especially, as there is a possibility for casualties to occur due to disaster in Hwabuk-dong because the effect of flooding on individual houses in this area was shown to be high. In addition, flood on port facilities will considerably affect logistic and marine activities. This study is thought to be a basic data which can be utilized for establishment of strategic coping measures and policies of government affiliated organizations through analysis of effect of sea level rise on construction field.

Developing Local Biodiversity Strategies and Action Plans (지자체 생물다양성 관리전략 구축)

  • Kim, Geunhan;Kong, Seok-Jun;Kim, Min-Kyeong;Lee, Moung-Jin;Song, Jiyoon;Jeon, Seong-Woo
    • Journal of Environmental Policy
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    • v.13 no.2
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    • pp.3-20
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    • 2014
  • Due to habitat damage associated with climate change and human activities, biodiversity has decreased all over the world. In order to prevent further reduction in biodiversity, the international community has endeavored to establish a cooperative system, such as the Convention on Biological Diversity (CBD). Until now, most biodiversity strategic planning has been led by the national government. However, the National Biodiversity Strategy and Action Plan is conservative and its strategic plan is vague. Therefore, we propose a method for managing local biological resources called the Local Biodiversity Strategy and Action Plan. In order to provide the strategic plans and detailed plans for the Local Biodiversity Strategy and Action Plan, the report has examined several cases including Convention on Biological Diversity, Strategic Plan for Biodiversity 2011-2020, and the biodiversity strategies and action plans of the Republic of Korea and several other countries. As a result, the report demonstrates the survey and protection of bio-species, the designation and monitoring of conservation region, the management of the integrated eco-network, the establishment of biodiversity organizations and capacity building, the methods to promote networking and traditional knowledge, and the strategy for development in bioindustry. Consequently, the implementation of biodiversity management strategies by local governments will play a significant role in preserving and increasing biodiversity by realizing the goals of Strategic Plan for Biodiversity 2011-2020.

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A Case Study on the Cause Analysis of Land creep Using Geophysical Exploration (물리탐사를 활용한 땅밀림 원인분석의 사례적 연구)

  • Jae Hyeon Park;Gyeong Mi Tak;Kook Mook Leem
    • Journal of Korean Society of Forest Science
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    • v.112 no.3
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    • pp.382-392
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    • 2023
  • Recent reports have indicated a rapid increase in the frequency of sediment disasters due to climate change and other changes in the geological environment. Given this alarming situation and the recent increase in the frequency of land creep in Korea, systematic and efficient recovery and management of land creep areas is essential. The purpose of this study is to identify disaster vulnerability by conducting a physical exploration of land creep in San 4-1, Jayeon-ri, Gaegun-myeon, Yangpyeong-gun, Gyeonggi-do, and examine stability by identifying the overall geological structure of the affected ground. In addition, drilling surveys are conducted to verify the reliability of the measured data. The results of the study reveal that low specific resistance abnormalities are distributed in the upper part of the soil layer and weathering zone and that this section is a 50-120 m exploration line. It is also confirmed to be a low-hardness ground area where tensile cracks are observed. Therefore, there is a need for research focused on developing measures to reduce economic and social damage within the domestic context by continuously monitoring indicators of land creep and identifying land creep risks.