• Title/Summary/Keyword: DEM

Search Result 1,756, Processing Time 0.028 seconds

Characteristics of Pollution Loading from Kyongan Stream Watershed by BASINS/SWAT. (BASINS/SWAT 모델을 이용한 경안천 유역의 오염부하 배출 특성)

  • Jang, Jae-Ho;Yoon, Chun-Gyeong;Jung, Kwang-Wook;Lee, Sae-Bom
    • Korean Journal of Ecology and Environment
    • /
    • v.42 no.2
    • /
    • pp.200-211
    • /
    • 2009
  • A mathematical modeling program called Soil and Water Assessment Tool (SWAT) developed by USDA was applied to Kyongan stream watershed. It was run under BASINS (Better Assessment Science for Integrating point and Non-point Sources) program, and the model was calibrated and validated using KTMDL monitoring data of 2004${\sim}$2008. The model efficiency of flow ranged from very good to fair in comparison between simulated and observed data and it was good in the water quality parameters like flow range. The model reliability and performance were within the expectation considering complexity of the watershed and pollutant sources. The results of pollutant loads estimation as yearly (2004${\sim}$2008), pollutant loadings from 2006 were higher than rest of year caused by high precipitation and flow. Average non-point source (NPS) pollution rates were 30.4%, 45.3%, 28.1% for SS, TN and TP respectably. The NPS pollutant loading for SS, TN and TP during the monsoon rainy season (June to September) was about 61.8${\sim}$88.7% of total NPS pollutant loading, and flow volume was also in a similar range. SS concentration depended on precipitation and pollution loading patterns, but TN and TP concentration was not necessarily high during the rainy season, and showed a decreasing trend with increasing water flow. SWAT based on BASINS was applied to the Kyongan stream watershed successfully without difficulty, and it was found that the model could be used conveniently to assess watershed characteristics and to estimate pollutant loading including point and non-point sources in watershed scale.

Groundwater Recharge Evaluation on Yangok-ri Area of Hongseong Using a Distributed Hydrologic Model (VELAS) (분포형 수문모형(VELAS)을 이용한 홍성 양곡리 일대 지하수 함양량 평가)

  • Ha, Kyoochul;Park, Changhui;Kim, Sunghyun;Shin, Esther;Lee, Eunhee
    • Economic and Environmental Geology
    • /
    • v.54 no.2
    • /
    • pp.161-176
    • /
    • 2021
  • In this study, one of the distributed hydrologic models, VELAS, was used to analyze the variation of hydrologic elements based on water balance analysis to evaluate the groundwater recharge in more detail than the annual time scale for the past and future. The study area is located in Yanggok-ri, Seobu-myeon, Hongseong-gun, Chungnam-do, which is very vulnerable to drought. To implement the VELAS model, spatial characteristic data such as digital elevation model (DEM), vegetation, and slope were established, and GIS data were constructed through spatial interpolation on the daily air temperature, precipitation, average wind speed, and relative humidity of the Korea Meteorological Stations. The results of the analysis showed that annual precipitation was 799.1-1750.8 mm, average 1210.7 mm, groundwater recharge of 28.8-492.9 mm, and average 196.9 mm over the past 18 years from 2001 to 2018 in the study area. Annual groundwater recharge rate compared to annual precipitation was from 3.6 to 28.2% with a very large variation and average 14.9%. By the climate change RCP 8.5 scenario, the annual precipitation from 2019 to 2100 was 572.8-1996.5 mm (average 1078.4 mm) and groundwater recharge of 26.7-432.5 mm (average precipitation 16.2%). The annual groundwater recharge rates in the future were projected from 2.8% to 45.1%, 18.2% on average. The components that make up the water balance were well correlated with precipitation, especially in the annual data rather than the daily data. However, the amount of evapotranspiration seems to be more affected by other climatic factors such as temperature. Groundwater recharge in more detailed time scale rather than annual scale is expected to provide basic data that can be used for groundwater development and management if precipitation are severely varied by time, such as droughts or floods.

Estimation of Ground-level PM10 and PM2.5 Concentrations Using Boosting-based Machine Learning from Satellite and Numerical Weather Prediction Data (부스팅 기반 기계학습기법을 이용한 지상 미세먼지 농도 산출)

  • Park, Seohui;Kim, Miae;Im, Jungho
    • Korean Journal of Remote Sensing
    • /
    • v.37 no.2
    • /
    • pp.321-335
    • /
    • 2021
  • Particulate matter (PM10 and PM2.5 with a diameter less than 10 and 2.5 ㎛, respectively) can be absorbed by the human body and adversely affect human health. Although most of the PM monitoring are based on ground-based observations, they are limited to point-based measurement sites, which leads to uncertainty in PM estimation for regions without observation sites. It is possible to overcome their spatial limitation by using satellite data. In this study, we developed machine learning-based retrieval algorithm for ground-level PM10 and PM2.5 concentrations using aerosol parameters from Geostationary Ocean Color Imager (GOCI) satellite and various meteorological parameters from a numerical weather prediction model during January to December of 2019. Gradient Boosted Regression Trees (GBRT) and Light Gradient Boosting Machine (LightGBM) were used to estimate PM concentrations. The model performances were examined for two types of feature sets-all input parameters (Feature set 1) and a subset of input parameters without meteorological and land-cover parameters (Feature set 2). Both models showed higher accuracy (about 10 % higher in R2) by using the Feature set 1 than the Feature set 2. The GBRT model using Feature set 1 was chosen as the final model for further analysis(PM10: R2 = 0.82, nRMSE = 34.9 %, PM2.5: R2 = 0.75, nRMSE = 35.6 %). The spatial distribution of the seasonal and annual-averaged PM concentrations was similar with in-situ observations, except for the northeastern part of China with bright surface reflectance. Their spatial distribution and seasonal changes were well matched with in-situ measurements.

Das Problem des Selbstbewußtseins Zwischen Vernunft und Existenz: Im Zentrum auf die Transformationen von Kants Selbstbewußtseinstheorie in Heideggers Analytik vom Dasein, Apels Lehre von diskursiver Vernunft, und Ebelings Lehre von Widerstandsbewußtsein (이성과 실존 사이에서 자기의식의 문제: 하이데거의 현존재 분석론, 아펠의 담론적 이성 이론, 그리고 에벨링의 저항의식 이론에서칸트의 자기의식 이론에 대한 변형들을 중심으로)

  • Kim, Chungjoo
    • Journal of Korean Philosophical Society
    • /
    • no.120
    • /
    • pp.217-250
    • /
    • 2018
  • Subjekt oder $Selbstbewu{\ss}tsein$ ist ein grundlegendes Prinzip neuzeitlicher Philosophie. Das $Selbstbewu{\ss}tsein$ ist bei Kant $Selbstbewu{\ss}tsein$(analytische Einheit der Apperzeption als klare Selbstbeziehung) in Objekts $bewu{\ss}tsein$(synthetischer Einheit der Apperzeptuion). Dabei zeigt er ein Reflexionsmodell des $Selbstbewu{\ss}tseins$. Aber er $erkl{\ddot{a}}rt$ nicht systematisch ein $Verh{\ddot{a}}ltnis$ zwischen synthetischer Einheit und analytischer Einheit der Apperzeption, und auch $l{\ddot{o}}st$ er nicht theorienimmanente und formale Schwierigkeiten von Zirkelargument bzw. unendlicher Iteration in der Reflxionsstruktur des $Selbstbewu{\ss}tseins$. Aufgrund der Voraussetzungen seiner eigenen Fundamentalontologie kritisiert der $fr{\ddot{u}}he$ Heidegger, $da{\ss}$ Kants $traditionsabh{\ddot{a}}ngige$ $Subjektivit{\ddot{a}}tstheorie$ Symptome der Seins vergessenheit zeigt, transformiert Kants $Selbstbewu{\ss}tseinstheorie$, interpretiert Kants transformierte Theorie als $subjektivit{\ddot{a}}tstheoretische$ $Begr{\ddot{u}}ndung$ der traditionellen Ontologie von Vorhandenheit, und versteht sie als ersten Schritt und erstes phlosophisches Modell seiner Fundamentalontologie. Durch kritische Interpretation von Kants Lehre von Selbstaffektion und $Selbstbewu{\ss}tsein$ deutet er ein Modell des $Selbstbewu{\ss}tseins$ als des $ph{\ddot{a}}nomenologischen$ $Horizontsbewu{\ss}tseins$ an. In diesem Modell der vorreflexiven und unmittelbaren Selbstbeziehung entstehen Schwierigkeiten von Zirkelargument bzw. unendlicher Iteration nicht. Apel kritisiert Kants $selbstbewu{\ss}te$ Apperzeptionstheorie in dem Sinne, $da{\ss}$ sie solipsistisch sei, und in seiner Transzendentalpragmatik $vervollst{\ddot{a}}ndigt$ er Kants transzendentalphilosophische $G{\ddot{u}}ltigkeit$ in der Dimension von $Intersubjektivit{\ddot{a}}t$ diskurierender Menschen. Hierbei ersetzt die Kommunikationsgemeinschaft Kants Apperzeption oder $Bewu{\ss}tsein$ ${\ddot{u}}berhaupt$. In der transzendentalpragmatischen Sicht, die auf den sprachlichen Bezug des Denkens und Erkennens und die Kommunikationsgemeinschaft geht, beruht das $Selbstbewu{\ss}tsein$ oder die Reflexion des Subjekts wesentlich auf seinem sprachlich vermittelten sozialen Bezug. Also geht es nicht um Zirkelargument und unendliche Iteration in denkender Selbstbeziehung des Subjekts. Ebeling hebt Heideggers Daseinsanalytik auf das Niveau von Apels Transzendentalpragmatik an und entwickelt Fundamatalpragmatik ${\ddot{u}}ber$ $Widerstandsbewu{\ss}tsein$ gegen allgemeinen Tod. Dieser $Widerstandsbewu{\ss}tsein$ ist fundamentalpragmatische Transformation von Kants $Selbstbewu{\ss}tsein$. Der $Widerstandsbewu{\ss}tsein$ der Vernunft bleibt in der solipsistischen Dimension nicht und ist ein $Bewu{\ss}tsein$, das in der Widerstandsgemeinschaft durch Argumentation universalisiert werden kann. Hierbei geht es nicht um Zirkelargument und unendliche Iteration.

Observation of Volume Change and Subsidence at a Coal Waste Dump in Jangseong-dong, Taebaek-si, Gangwon-do by Using Digital Elevation Models and PSInSAR Technique (수치표고모델 및 PSInSAR 기법을 이용한 강원도 태백시 장성동 폐석적치장의 적치량과 침하관측)

  • Choi, Euncheol;Moon, Jihyun;Kang, Taemin;Lee, Hoonyol
    • Korean Journal of Remote Sensing
    • /
    • v.38 no.6_1
    • /
    • pp.1371-1383
    • /
    • 2022
  • In this study, the amount of coal waste dump was calculated using six Digital Elevation Models (DEMs) produced between 2006 and 2018 in Jangseong-dong, Taebaek-si, Gangwon-do, and the subsidence was observed by applying the Persistent Scatterer Interferometric SAR (PSInSAR) technique on the Sentinel-1 SAR images. As a result of depositing activities using DEMs, a total of 1,668,980 m3 of coal waste was deposited over a period of about 12 years from 2006 to 2018. The observed subsidence rate from PSInSAR was -32.3 mm/yr and -40.2 mm/yr from the ascending and descending orbits, respectively. As the thickness of the waste pile increased, the rate of subsidence increased, and the more recent the completion of the deposit, the faster the subsidence tended to occur. The subsidence rates from the ascending and descending orbits were converted to vertical and horizontal east-west components, and 22 random reference points were set to compare the subsidence rate, the waste rock thickness, and the time of depositing completion. As a result, the subsidence rate of the reference point tended to increase as the thickness of the waste became thicker, similar to the PSInSAR results in relation to the waste thickness. On the other hand, there was no clear correlation between the completion time of the deposits and the rate Of subsidence at the reference points. This is because the time of completion of the deposits at all but 5 of the 22 reference points was too biased in 2010 and the correlation analysis was meaningless. As in this study, the use of DEM and PSInSAR is expected to be an effective alternative to compensate for the lack of field data in the safety management of coal waste deposits.

Estimation of SCS Runoff Curve Number and Hydrograph by Using Highly Detailed Soil Map(1:5,000) in a Small Watershed, Sosu-myeon, Goesan-gun (SCS-CN 산정을 위한 수치세부정밀토양도 활용과 괴산군 소수면 소유역의 물 유출량 평가)

  • Hong, Suk-Young;Jung, Kang-Ho;Choi, Chol-Uong;Jang, Min-Won;Kim, Yi-Hyun;Sonn, Yeon-Kyu;Ha, Sang-Keun
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.43 no.3
    • /
    • pp.363-373
    • /
    • 2010
  • "Curve number" (CN) indicates the runoff potential of an area. The US Soil Conservation Service (SCS)'s CN method is a simple, widely used, and efficient method for estimating the runoff from a rainfall event in a particular area, especially in ungauged basins. The use of soil maps requested from end-users was dominant up to about 80% of total use for estimating CN based rainfall-runoff. This study introduce the use of soil maps with respect to hydrologic and watershed management focused on hydrologic soil group and a case study resulted in assessing effective rainfall and runoff hydrograph based on SCS-CN method in a small watershed. The ratio of distribution areas for hydrologic soil group based on detailed soil map (1:25,000) of Korea were 42.2% (A), 29.4% (B), 18.5% (C), and 9.9% (D) for HSG 1995, and 35.1% (A), 15.7% (B), 5.5% (C), and 43.7% (D) for HSG 2006, respectively. The ratio of D group in HSG 2006 accounted for 43.7% of the total and 34.1% reclassified from A, B, and C groups of HSG 1995. Similarity between HSG 1995 and 2006 was about 55%. Our study area was located in Sosu-myeon, Goesan-gun including an approx. 44 $km^2$-catchment, Chungchungbuk-do. We used a digital elevation model (DEM) to delineate the catchments. The soils were classified into 4 hydrologic soil groups on the basis of measured infiltration rate and a model of the representative soils of the study area reported by Jung et al. 2006. Digital soil maps (1:5,000) were used for classifying hydrologic soil groups on the basis of soil series unit. Using high resolution satellite images, we delineated the boundary of each field or other parcel on computer screen, then surveyed the land use and cover in each. We calculated CN for each and used those data and a land use and cover map and a hydrologic soil map to estimate runoff. CN values, which are ranged from 0 (no runoff) to 100 (all precipitation runs off), of the catchment were 73 by HSG 1995 and 79 by HSG 2006, respectively. Each runoff response, peak runoff and time-to-peak, was examined using the SCS triangular synthetic unit hydrograph, and the results of HSG 2006 showed better agreement with the field observed data than those with use of HSG 1995.