• Title/Summary/Keyword: 토양수 분포특성분석모델

Search Result 46, Processing Time 0.029 seconds

Groundwater Hydrological System in the Seokdae Waste Landfill, Pusan (부산 석대 폐기물 매립지 및 그 주변의 지하수 수리시스템 분석)

  • 김윤영;이강근;정상용;권해우
    • Journal of the Korean Society of Groundwater Environment
    • /
    • v.4 no.4
    • /
    • pp.191-198
    • /
    • 1997
  • The Seokdae municipal waste landfill was filled from 1987 to 1993. A disk tension infiltrometer was used to estimate the saturated hydraulic conductivity of the upper part of landfill cover. The estimated saturated hydraulic conductivity ranges from 2.2$\times$$10^{-4}$~8.1$\times$$10^{-3}$ cm/sec. Net infiltration through the Seokdae municipal waste landfill is estimated from precipitation data, hydraulic conductivity and reported landfill profiles by using an unsaturated flow model, HYDRUS. Total infiltration rate is estimated to be 939 ㎥/day. Leachate level rise and leachate seepage are computed by adopting a simple model.

  • PDF

Preparation of Soil Input Files to a Crop Model Using the Korean Soil Information System (흙토람 데이터베이스를 활용한 작물 모델의 토양입력자료 생성)

  • Yoo, Byoung Hyun;Kim, Kwang Soo
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.19 no.3
    • /
    • pp.174-179
    • /
    • 2017
  • Soil parameters are required inputs to crop models, which estimate crop yield under a given environment condition. The Korean Soil Information System (KSIS), which provides detailed soil profile record of 390 soil series in the HTML (HyperText Markup Language) format, would be useful to prepare soil input files. Korean Soil Information System Processing Tool (KSISPT) was developed to aid generation of soil input data based on the KSIS database. Java was used to implement the tool that consists of a set of modules for parsing the HTML document of the KSIS, storing data required for preparing soil input file, calculating additional soil parameter, and writing soil input file to a local disk. Using the automated soil data preparation tool, about 940 soil input data were created for the DSSAT model and the ORYZA 2000 model, respectively. In combination with soil series distribution map at 30m resolution, spatial analysis of crop yield could be projected under climate change, which would help the development of adaptation strategies.

Assessment for Characteristics and Variations of Upland Drought by Correlation Analysis in Soil Available Water Content with Meteorological Variables and Spatial Distribution during Soybean Cultivation Period (토양유효수분율 공간분포와 기상인자와의 상관관계 분석을 통한 콩 재배기간 밭가뭄 특성 및 변동성 평가)

  • Se-In Lee;Jung-hun Ok;Seung-oh Hur;Bu-yeong Oh;Jeong-woo Son;Seon-ah Hwang
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.26 no.2
    • /
    • pp.127-139
    • /
    • 2024
  • Climate change has increased extreme weather events likewise heatwaves, heavy rain, and drought. Unlike other natural disaster, drought is a slowly developing phenomenon and thus drought damage increases as the drought continues. Therefore, it is necessary to understand the characteristics and mechanism of drought occurrence. Agricultural drought occurs when the water supply needed by crops becomes insufficient due to lack of soil water. Therefore, soil water is used as a key variable affecting agricultural drought. In this study, we examined the spatio-temporal distribution and trends of drought across the Korean Peninsula by determining the soil available water content (SAWC) through a model that integrated soil, meteorological, and crop data. Moreover, an investigation into the correlation between meteorological variables and the SAWC was conducted to assess how meteorological characteristics influence the nature of drought occurrences. During the soybean cultivation period, the average SAWC was lowest in 2018 at 88.6% and highest in 2021 at 103.2%. Analysis of the spatial distribution of SAWC by growth stage revealed that the lowest SAWC occurred during the flowering stage (S3) in 2018, during the leaf extension stage (S2) in 2019, during the seedling stage (S1) in 2020, again during the flowering stage (S3) in 2021, and during the seedling stage (S1) in 2022. Based on the average SAWC across different growth stages, the frequency of upland drought was the highest at 22 times during the S3 in 2018. The lowest SAWC was primarily influenced by a significant negative correlation with rainfall and evapotranspiration, whereas the highest SAWC showed a significant positive correlation with rainfall and relative humidity, and a significant negative correlation with reference evapotranspiration.

양수시험분석에 의한 제주도 화산암 대수층의 수리적 특성

  • 우윤정;함세영;정재열;이상선;장차연;박윤석;김봉상
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
    • /
    • 2003.04a
    • /
    • pp.292-295
    • /
    • 2003
  • 제주도 전역의 88개소에서 측정한 양수시험자료를 분석하여 투수량계수를 산출하였으며, 투수량계수계수와 비양수량의 관계식을 산출하였다. 제주도의 화산암 대수층은 대체로 투수성이 크고 대수층의 상.하부로부터 상당량의 지하수가 공급되므로 누수피압대수층이 적합한 모델로 판단된다. 투수량계수는 0.405~1038.52m$^2$/d로서 넓은 범위에 걸쳐서 분포하며 이는 제주도 화산 암의 투수성이 지역에 따라 다양하다는 것을 의미한다. 비양수량(Q/s)-투수량계수(T) 관계식은 T = 0.582(Q/s)$^{0.974}$ 로 계산되었으며, 이 관계식은 지역적으로 투수량계수 산출이 불가능할 경우에 비양수량만으로 투수량계수를 추정하는데 이용될 수 있다.

  • PDF

Analysis of mean Transition Time and Its Uncertainty Between the Stable Modes of Water Balance Model (물수지 방정식의 안정상태간의 평균 천이시간 및 불확실성에 관한 연구)

  • 이재수
    • Water for future
    • /
    • v.27 no.2
    • /
    • pp.129-137
    • /
    • 1994
  • The surface hydrology of large land areas is susceptible to several preferred stable states with transitions between stable states induced y stochastic fluctuation. This comes about due to the close coupling of land surface and atmospheric interaction. An interesting and important issue is the duration of residence in each mode. Mean transtion times between the stable modes are analyzed for different model parameters or climatic types. In an example situation of this differential equation exhibits a bimodal probability distribution of soil moisture states. Uncertainty analysis regarding the model parameters is performed using a Monte-Carlo simulation method. The method developed in this research may reveal some important characteristics of soil moisture or precipitation over a large area, in particular, those relating to abrupt changes in soil moisture or precipitation having extremely variable duration.

  • PDF

Distribution Pattern of Pinus densiflora and Quercus Spp. Stand in Korea Using Spatial Statistics and GIS (공간통계와 GIS를 이용한 소나무림과 참나무류림의 분포패턴)

  • Lee, Chong-Soo;Lee, Woo-Kyun;Yoon, Jeong-Ho;Song, Chul-Chul
    • Journal of Korean Society of Forest Science
    • /
    • v.95 no.6
    • /
    • pp.663-671
    • /
    • 2006
  • This study was performed for exploring the spatial distribution pattern of Pinus densiflora and Quercus spp. in Korea. Firstly, the spatial distribution map of Pinus densiflora and Quercus spp. was prepared in grid of $100m{\times}100m$ at national level, using digital forest type map and actual vegetation map. And thematic maps for topography, climate, and soil were also prepared in the raster form of $100m{\times}100m$. Through GIS based spatial analysis of the digital distribution map of Pinus densiflora and Quercus spp. and thematic maps, the spatial characteristics of Pinus densiflora and Quercus spp. distribution was explored in relation to the environmental factors such as topography, climate, and soil. And the occurrence frequency models of Pinus densiflora and Quercus spp. were derived. Pinus densiflora occurs more often than Quercus spp. at low elevation, low slope gradient, and high temperature areas. In addition, Pinus densiflora is mainly distributed at shallow and well-drained loamy soil from igneous rocks. In contrast, Quercus spp. is more common at shallow and well-drained loamy soil from metamorphic rocks. As a result, the prediction model for the spatial distribution of Pinus densiflora and Quercus spp. by topographical variables has proven successful with high statistical significance. The result of this study can contribute to rational management of Pinus densiflora and Quercus spp. stand in Korea, considering environmental factors such as topography, climate, and soil.

Simulation of soil moisture on Youngdam Dam basin using K-DRUM (K-DRUM 모형을 이용한 용담댐 유역의 토양수분 변화 모의)

  • Hur, Young Teck;Lim, Kwang Suop;Park, Jin Hyeog;Park, Gu Young
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2016.05a
    • /
    • pp.281-281
    • /
    • 2016
  • 기후변화로 인한 기상학적 자연재해로부터 대비하고 안정적인 용수공급을 위해 유역의 다양한 수문 요소들에 대한 분석 필요성이 증가하고 있다. 계절적 강수량의 편차가 큰 우리나라는 유역 통합 물관리가 중요하며, 효율적 수자원 관리와 물안보 확보를 위해 유역내 물순환을 이해하는 것이 중요하다. 유역의 유출을 결정하는 요소들에는 강우, 증발산량, 토양 수분 및 지하수 등이 있으며, 시간적으로는 홍수와 같이 단기에 발생하는 유출과 장기적으로 발생하는 유출이 있다. 장기 유출은 단기 유출에 비해 토양내 수분량이 무시할 수 없을 정도로 영향을 미치게 되므로, 1년 이상의 장기 유출 해석을 위해서는 강우가 발생하지 않는 기간 동안의 토양 수분량 변화와 증발산 영향을 고려할 필요가 있다. K-water에서 자체 개발된 분포형 장단기유출 모델인 K-DRUM은 유역을 격자(grid)단위로 구분하고 각 셀들에 대한 매개변수는 흐름방향도, 표고분포도, 토지이용도, 토지피복도 등을 GIS처리하여 일괄 입력할 수 있도록 함으로써 매개변수 산정과정에서 문제가 되는 경험적인 요인을 제거하였다. 흐름의 구분은 얕은면 흐름, 지표하 흐름, 지하수 흐름으로 구분하여 운동파법과 선형저류법을 적용하였다. 또한 초기 토양함수 자동보정기법으로 실제의 기저유출량을 재현하여 전체적인 유출모의 정확도를 높였으며, FAO-56 Penman-Monteith법을 적용한 증발산량 산정모듈과 Sugawara et al.(1984)이 제안한 개념적 융설 및 적설모듈을 추가하였다. K-DRUM모형을 이용한 유출분석은 용담댐 시험유역을 대상으로 2013년도 1년간의 유출모의를 수행하였다. 입력자료는 용담댐 유역의 지형, 토양 및 토지특성 정보와 시단위 강우 및 기상정보(온도, 바람, 일사 등)를 활용하였다. 분석 결과, 총 관측유출량은 7,151 ㎥/s이고 총 계산유출량 $8,257m^3/s$이며, 관측유출량 대비 계산유출량은 약 115% 정도로 나타났다. 연간 총 강우량은 1303.5 mm로 유역면적 약 $930km^2$을 적용하여 유역 총 강우량을 산정하면 $14,030m^3/s$로서 관측유출량은 유역 총 강우량 대비 51%이고 계산유출량은 59% 정도로 나타났다. 즉 유역 유출율은 약 51% 수준으로 보통의 유역과 유사한 수준이다. 관측된 토양수분량과 K-DRUM 모형의 계산된 토양수분량을 비교하기 위하여 관측 토양수분량의 비율을 이용하여 비교하였다. 모의결과 토양수분은 강우에 의해 변화하며, 관측결과와 유사한 형태로 나타남을 알 수 있었다.

  • PDF

Simulation for the Estimation of Design Parameters in an Aquifer Thermal Energy Storage (ATES) Utilization System Model (대수층 축열 에너지(ATES) 활용 시스템 모델의 설계인자 추정을 위한 시뮬레이션)

  • Shim Byoung-Ohan
    • Journal of Soil and Groundwater Environment
    • /
    • v.10 no.4
    • /
    • pp.54-61
    • /
    • 2005
  • An aquifer thermal energy storage (ATES) system can be very cost-effective and renewable energy sources, depending on site-specific parameters and load characteristics. In order to develop the ATES system which has certain hydrogeological characteristics, understanding the thermohydraulic process of an aquifer is necessary for a proper design of an aquifer heat storage system under given conditions. The thermohydraulic transfer for heat storage was simulated according to two sets of simple pumping and waste water reinjection scenarios of groundwater heat pump system operation in a two-layered aquifer model. In the first set of the scenarios, the movement of the thermal front and groundwater level was simulated by changing the locations of injection and pumping wells in a seasonal cycle. However, in the second set the simulation was performed in the state of fixing the locations of pumping and injection wells. After 365 days simulation period, the shape of temperature distribution was highly dependent on the injected water temperature and the distance from the injection well. A small temperature change appeared on the surface compared to other simulated temperature distributions of 30 and 50 m depths. The porosity and groundwater flow characteristics of each layer sensitively affected the heat transfer. The groundwater levels and temperature changes in injection and pumping wells were monitored and the thermal interference between the wells was analyzed to test the effectiveness of the heat pump operation method applied.

Surface soil moisture memory using stored precipitation fraction in the Korean peninsula (토양 내 저장 강수율을 활용한 국내 표층 토양수분 메모리 특성에 관한 연구)

  • Kim, Kiyoung;Lee, Seulchan;Lee, Yongjun;Yeon, Minho;Lee, Giha;Choi, Minha
    • Journal of Korea Water Resources Association
    • /
    • v.55 no.2
    • /
    • pp.111-120
    • /
    • 2022
  • The concept of soil moisture memory was used as a method for quantifying the function of soil to control water flow, which evaluates the average residence time of precipitation. In order to characterize the soil moisture memory, a new measurement index called stored precipitation fraction (Fp(f)) was used by tracking the increments in soil moisture by the precipitation event. In this study, the temporal and spatial distribution of soil moisture memory was evaluated along with the slope and soil characteristics of the surface (0~5 cm) soil by using satellite- and model-based precipitation and soil moisture in the Korean peninsula, from 2019 to 2020. The spatial deviation of the soil moisture memory was large as the stored precipitation fraction in the soil decreased preferentially along the mountain range at the beginning (after 3 hours), and the deviation decreased overall after 24 hours. The stored precipitation fraction in the soil clearly decreased as the slope increased, and the effect of drainage of water in the soil according to the composition ratio of the soil particle size was also shown. In addition, average soil moisture contributed to the increase and decrease of hydraulic conductivity, and the rate of rainfall transfer to the depths affected the stored precipitation fraction. It is expected that the results of this study will greatly contribute in clarifying the relationship between soil moisture memory and surface characteristics (slope, soil characteristics) and understanding spatio-temporal variation of soil moisture.

Evaluation of baseflow variations by Bokha steam via watershed-scale coupling of SWAT and MODFLOW (SWAT-MODFLOW를 연계한 복하천유역 기저유량 변동성 분석)

  • Han, Daeyeong;Jang, Wonjin;Lee, Jiwan;Kim, Seongjoon
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2020.06a
    • /
    • pp.130-130
    • /
    • 2020
  • 수자원장기종합계획에 따르면 전국 지하수위는 지하수 이용의 지속적인 증가와 도시화에 따른 지하수 함양감소 등으로 최근 매년 조금씩 감소하고 있다. 특히, 환경부의 지하수조사연보(2018)에 따르면 남한강하류 중권역은 한강수계 전체 지하수 사용량의 약 34.5 %를 차지하고 있는 것으로 분석되었으며, 2009년에 비하여 2017년의 지하수위는 1.4 m의 감소 되었다. 본 연구는 한강유역에서 지하수 개발밀도가 높은 이천시에 위치해 있는 복하천 유역(303.8㎢)을 대상으로 지하수위 감소에 따른 기저유량 변동특성을 파악하기 위하여 SWAT-MODFLOW(Soil And Water Assessment Tool-MODFLOW)을 적용하고자 한다. SWAT-MODFLOW는 준분포형 장기유출모형 SWAT과 3차원 분포형 지하수 모의가 가능한 MODFLOW를 연계한 모형이며, MODFLOW만으로는 해결할 수 없는 일별 지하수 함양량의 분포와 SWAT만으로는 계산 불가능했던 지하수위의 시공간 분포를 보완하여 재생함으로써 두 모형의 한계를 극복한 모델이다. SWAT의 검보정 결과로서는 RMSE는 10.6 mm/day, NSE는 0.72, R2는 0.69 효율이 나타났으나, 지하수 유출이 보정되지 않아 MODFLOW의 입력자료인 토양두께(m), 수리전도도(m/day), 비저류량(1/m), 비산출율을 토양통에 따라 분류한 해외논문(Steven et.al 2005) 자료를 산정하여 SWAT-MODFLOW 두모형을 연계한 프로그램에 입력하여 지하수 유출을 보완하였고 SWAT과 SWAT-MDFLOW 지하수 유출량 비교뿐만이 아닌 SWAT-MODFLOW의 출력자료인 지하수위 및 지하수 충진량을 검토하였다.

  • PDF