• 제목/요약/키워드: Spatial and temporal average

Search Result 268, Processing Time 0.028 seconds

Spatio-Temporal Variations in Groundwater Recharge in the Jincheon Region (진천지역 지하수 함양량의 시공간적 변동특성)

  • Chung, Il-Moon;Na, Han-Na;Lee, Deok-Su;Kim, Nam-Won;Lee, Jeong-Woo;Lee, Jae-Myung
    • The Journal of Engineering Geology
    • /
    • v.21 no.4
    • /
    • pp.305-312
    • /
    • 2011
  • Because groundwater recharge shows spatial-temporal variability due to climatic conditions, it is necessary to investigate land use and hydrogeological heterogeneity, and estimate the spatial variability in the daily recharge rate based on an integrated surface-groundwater model. The integrated SWAT-MODFLOW model was applied to compute physically based daily groundwater recharge in the Jincheon region. The temporal variations in estimated recharge were calibrated using the observed groundwater head at several National Groundwater Monitoring Stations and at automatic groundwater-monitoring sites constructed during the Basic Groundwater Investigation Project (2009-2010). For the whole Mihocheon watershed, including the Jincheon region, the average groundwater recharge rate is estimated to be 20.8% of the total rainfall amount, which is in good agreement with the analytically estimated recharge rate. The proposed methodology will be a useful tool in the management of groundwater in Korea.

Analysis on the evolution of water resources situation in Qiandao Lake Basin from 1960 to 2020

  • DU Junkai;Qiu Yaqin
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2023.05a
    • /
    • pp.27-27
    • /
    • 2023
  • To analyze the evolution of water resources in Qiandao Lake Basin under the condition of climate change, a WEP-L distributed hydrological model was established to simulate the water cycle process in the basin during 1960-2020. The Mann-Kendall non-parametric test method and Hurst index method were used to analyze the inter-annual variation and annual distribution characteristics of the total water resources in the basin. The multi-scale temporal and spatial distribution and evolution trend of water resources in Qiandao Lake Basin were evaluated. The results show that: (1) The WEP-L model has good simulation results in the Qiandao Lake basin, and the Nash coefficient rate is above 0.83 in the periodic period and above 0.85 in the verification period. (2) The water yield coefficient of the whole basin ranges from 0.436 to 0.630. The annual average total water resource is 12.25 billion m3, equivalent to 1176.4mm of water depth. The annual distribution process shows a unimodal structure, and the water depth of each sub-basin ranges from 742 mm to 1266 mm, and the spatial distribution is higher in the west and lower in the east. (3) The annual water resources series in the basin showed an insignificant upward trend, and the Hurst index was 0.86, indicating a continuous upward trend. From the perspective of monthly water resources, January and February increased significantly, the other months were not significant changes.

  • PDF

Spatio-temporal models for generating a map of high resolution NO2 level

  • Yoon, Sanghoo;Kim, Mingyu
    • Journal of the Korean Data and Information Science Society
    • /
    • v.27 no.3
    • /
    • pp.803-814
    • /
    • 2016
  • Recent times have seen an exponential increase in the amount of spatial data, which is in many cases associated with temporal data. Recent advances in computer technology and computation of hierarchical Bayesian models have enabled to analyze complex spatio-temporal data. Our work aims at modeling data of daily average nitrogen dioxide (NO2) levels obtained from 25 air monitoring sites in Seoul between 2003 and 2010. We considered an independent Gaussian process model and an auto-regressive model and carried out estimation within a hierarchical Bayesian framework with Markov chain Monte Carlo techniques. A Gaussian predictive process approximation has shown the better prediction performance rather than a Hierarchical auto-regressive model for the illustrative NO2 concentration levels at any unmonitored location.

Spatial Smoothing for Temporal Error Concealment (시간적 에러 은폐를 위한 공간적 스무딩)

  • 김동욱;김진태
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2003.10a
    • /
    • pp.594-597
    • /
    • 2003
  • In this paper, we propose a new temporal error concealment method for recovery of video packet loss. Error concealment for each loss block is performed by temporal motion compensation and a smoothing operation of boundary pixels between the compensated block and its surrounding blocks. In the simulation results, performance improvement for the proposed technique is on the average 2 dB in comparison with the conventional technique.

  • PDF

A Spatio-Temporal Variation Pattern of Oiling Status Using Spatial Analysis in Mallipo Beach of Korea (공간분석 기법을 이용한 만리포 유분의 시·공간 변동 패턴 분석)

  • Kim, Tae-Hoon;Choi, Hyun-Woo;Kim, Moon-Koo;Shim, Won-Joon
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.15 no.4
    • /
    • pp.90-103
    • /
    • 2012
  • Mallipo is a representative beach contaminated by Hebei Spirit oil spill accident in December 2007. This study aims to compare the differences of two seasons (winter and summer) for the spatio-temporal variation patterns of oiling status in the whole area and divided five regions of Mallipo beach. In the whole area, the decreasing rate of average TPH (total petroleum hydrocarbon) in winter was twice greater than summer during four years. According to the spatial variation pattern analysis of oiling status using weighted mean center and weighted standard distance, the oil concentration was clustered on southwestern region in winter, however, the TPH was dispersed in the whole area in summer. Temporal variation pattern of TPH in each of Mallipo's five regions showed that TPH had been consistently decreased in winter, but oil concentration had not been changed in summer since 2009 except the southwestern region. Therefore, in order to evaluate and predict the progress of oiling status, it is needed to analyze the spatio-temporal variation pattern of TPH using spatial analysis after separating data into seasons (e.g., winter and summer). In addition, time series analysis is useful in the regional scales through spatial partitioning rather than the whole beach area for the understanding of temporal variation pattern.

Improvement of Temporal Resolution for Land Surface Monitoring by the Geostationary Ocean Color Imager Data

  • Lee, Hwa-Seon;Lee, Kyu-Sung
    • Korean Journal of Remote Sensing
    • /
    • v.32 no.1
    • /
    • pp.25-38
    • /
    • 2016
  • With the increasing need for high temporal resolution satellite imagery for monitoring land surfaces, this study evaluated the temporal resolution of the NDVI composites from Geostationary Ocean Color Imager (GOCI) data. The GOCI is the first geostationary satellite sensor designed to provide continuous images over a $2,500{\times}2,500km^2$ area of the northeast Asian region with relatively high spatial resolution of 500 m. We used total 2,944 hourly images of the GOCI level 1B radiance data obtained during the one-year period from April 2011 to March 2012. A daily NDVI composite was produced by maximum value compositing of eight hourly images captured during day-time. Further NDVI composites were created with different compositing periods ranging from two to five days. The cloud coverage of each composite was estimated by the cloud detection method developed in study and then compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua cloud product and 16-day NDVI composite. The GOCI NDVI composites showed much higher temporal resolution with less cloud coverage than the MODIS NDVI products. The average of cloud coverage for the five-day GOCI composites during the one year was only 2.5%, which is a significant improvement compared to the 8.9%~19.3% cloud coverage in the MODIS 16-day NDVI composites.

Change of Children's Meal Structure in Terms of Temporal and Spatial Dimensions : Analysis of the Data from the Korea National Health and Nutrition Examination Surveys of 1998 and 2009 (한국 어린이와 청소년 식생활 구조의 시간적.공간적 변화 : 1998, 2009 국민건강영양조사 자료 분석)

  • Lee, Young-Mi;Shim, Jae-Eun;Yoon, Ji-Hyun
    • Korean Journal of Community Nutrition
    • /
    • v.17 no.1
    • /
    • pp.109-118
    • /
    • 2012
  • This study was conducted to characterize changes in the meal structure of Korean children in terms of temporal and spatial dimensions. The data of 1,891 and 1,627 school-aged children and adolescents extracted respectively from the 1998 and 2009 Korea National Health and Nutrition Examination Surveys were analyzed by gender, age group, and residential area. From 1998 to 2009, the total eating events increased from 4.3 to 4.6 (p = 0.001); the average number of meal intake decreased from 2.8 to 2.7 (p < 0.001) while that of snack intake increased from 1.5 to 1.9 (p < 0.001). The prevalence of "3 meals a day" pattern tended to decrease while that of "2 meals a day" pattern increased over the years. Especially, the "2 meals a day" pattern with "lunch + dinner" increased from 13% in 1998 to 20% in 2009. The percentage of eating breakfast or dinner at home decreased over the years. These results indicate that over the last decade, "destructuration" occurred in Korean children's meal structure in terms of temporal and spatial dimensions. Especially, such alteration was more distinctive in male than female and in the high school-aged group than the elementary or middle school-aged groups. Overall, the difference of meal structure between genders and residential areas became smaller while the difference among age groups became larger over the years.

Efficient Generation of 3-D Video Holograms Using Temporal-Spatial Redundancy of 3-D Moving Images (3차원 동영상의 시ㆍ공간적 정보 중복성을 이용한 효과적인 3차원 비디오 홀로그램의 생성)

  • Kim, Dong-Wook;Koo, Jung-Sik;Kim, Seung-Cheol;Kim, Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.37C no.10
    • /
    • pp.859-869
    • /
    • 2012
  • In this paper, a new method to efficiently generate the 3-D(three-dimensional) video holograms for 3-D moving scenes, which is called here the TSR-N-LUT method, is proposed by the combined use of temporal-spatial redundancy(TSR) of 3-D video images and novel look-up table(N-LUT) technique. That is, in the proposed scheme, with the differential pulse code modulation (DPCM) algorithm, temporally redundancy redundant data in the inter-frame of a 3-D video images are removed between the frames, and then inter-line redundant data in the inter-frame of 3-D video images are also removed by using the DPCM method between the lines. Experimental results show that the proposed method could reduced the number of calculated object points and the calculation time of one object point by 23.72% and 19.55%, respectively on the average compared to the conventional method. Good experimental results with 3-D test moving pictures finally confirmed the feasibility of the proposed method to the fast generation of CGH patterns of the 3-D video images.

Estimation of the Number of Sampling Points Required for the Determination of Soil CO2 Efflux in Two Types of Plantation in a Temperate Region

  • Lee, Na-Yeon(Mi-Sun);Koizumi, Hiroshi
    • Journal of Ecology and Environment
    • /
    • v.32 no.2
    • /
    • pp.67-73
    • /
    • 2009
  • Soil $CO_2$ efflux can vary markedly in magnitude over both time and space, and understanding this variation is crucial for the correct measurement of $CO_2$ efflux in ecological studies. Although considerable research has quantified temporal variability in this flux, comparatively little effort has focused on its spatial variability. To account for spatial heterogeneity, we must be able to determine the number of sampling points required to adequately estimate soil $CO_2$ efflux in a target ecosystem. In this paper, we report the results of a study of the number of sampling points required for estimating soil $CO_2$ efflux using a closed-dynamic chamber in young and old Japanese cedar plantations in central Japan. The spatial heterogeneity in soil $CO_2$ efflux was significantly higher in the mature plantation than in the young stand. In the young plantation, 95% of samples of 9 randomly-chosen flux measurements from a population of 16 measurements made using 72-$cm^2$ chambers produced flux estimates within 20% of the full-population mean. In the mature plantation, 20 sampling points are required to achieve means within $\pm$ 20% of the full-population mean (15 measurements) for 95% of the sample dates. Variation in soil temperature and moisture could not explain the observed spatial variation in soil $CO_2$ efflux, even though both parameters are a good predictor of temporal variation in $CO_2$ efflux. Our results and those of previous studies suggest that, on average, approximately 46 sampling points are required to estimate the mean and variance of soil $CO_2$ flux in temperate and boreal forests to a precision of $\pm$ 10% at the 95% confidence level, and 12 points are required to achieve a precision of $\pm$ 20%.

Uncertainty of Agrometeorological Advisories Caused by the Spatiotemporally Averaged Climate References (시공간평균 기준기후에 기인한 농업기상특보의 불확실성)

  • Kim, Dae-jun;Kim, Jin-Hee;Kim, Soo-Ock
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.19 no.3
    • /
    • pp.120-129
    • /
    • 2017
  • Agrometeorological advisories for farms and orchards are issued when daily weather exceeds a predefined range of the local reference climate, which is a long-term average of daily weather for the location. The reference climate at local scales is prepared by various simplification methods, resulting in uncertainty in the agrometeorological advisories. We restored daily weather data for the 1981-2010 period and analyzed the differences in prediction results of weather risk by comparing with the temporal and spatial simplified normal climate values. For this purpose, we selected the agricultural drought index (ADI) among various disaster related indices because ADI requires many kinds of weather data to calculate it. Ten rural counties within the Seomjin River Basin were selected for this study. The normal value of 'temporal simplification' was calculated by using the daily average value for 30 years (1981-2010). The normal value of 'spatial simplification' is the zonal average of the temporally simplified normal values falling within a standard watershed. For residual moisture index, temporal simplification normal values were overestimated, whereas spatial simplification normal values were underestimated in comparison with non-simplified normal values. The ADI's calculated from January to July 2017 showed a significant deviation in terms of the extent of drought depending on the normal values used. Through this study, we confirmed that the result of weather risk calculation using normal climatic values from 'simplified' methods can affect reliability of the agrometeorological advisories.