• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.293-293
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• 2023

2022년 발간된 IPCC (The Intergovernmental Panel on Climate Change) 6차 평가보고서(AR6)에서는 미래 사회경제변화를 기준으로 기후변화에 대한 미래의 완화와 적응 노력에 따라 5개의 시나리오로 구분된 SSP (Shared Socioeconomic Pathways, 공통사회경제경로)를 제시하고 있다. 본 연구에서는 제주도 지역을 대상으로 SSP 시나리오에 따른 미래 수문학적 변화를 분석하였다. 제주도 지역의 독특한 기후 및 지질학적 특성, 간헐적 하천유출 특성 등을 모의할 수 있는 유역모델링(SWAT)을 기반으로, 미래 기후변화 시나리오에 따른 수문 변화를 분석하였다. 기후모형에 따른 미래 전망의 불확실성을 최소화하기 위해 SSP 시나리오 4종(SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5)에 대해 18개의 Global Climate Models (GCMs) 자료를 분석에 사용하였다. 또한 지역별 공간적 특성을 충분히 반영하기 위해 하천구간과 고도 특성을 고려하여 총 299개 소유역으로 구분하여 모델링을 수행하였다. 각 GCM 및 SSP 시나리오별 산출된 유역모델링 모의자료를 기반으로 과거 historical 기간(1981~2010년)과 미래기간(2011~2100년)으로 구분하여 강수량, 유출량, 증발산량, 함양량 등에 대한 시공간적 변화를 분석하였다. 대체로 모든 GCM 및 모든 SSP 시나리오에서 미래기간으로 갈수록 강수량은 증가하는 것으로 나타났다. 북부지역(제주시)보다는 남부지역(서귀포시)의 증가량이 많으며, SSP5-8.5 시나리오에서 상대적으로 변동폭이 큰 것으로 분석되었다. 기준증발산량 또한 기온의 증가에 따라 미래로 갈수록 기준증발산량이 증가하는 것으로 전망되었으며, SSP5-8.5 시나리오에서 가장 크게 증가하는 것으로 나타났다. 기준증발산량의 절대값은 북부지역에서 더 크게 나타나며, SSP5-8.5에서 가장 큰 것으로 전망되었다. 과거기간 대비 변화율은 SSP5-8.5에서 가장 크게 증가하며, 최소 10% 이상 증가할 것으로 전망되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.319-319
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• 2021

유량측정은 측정방법에 따라 측정위치가 변동된다. 도섭법은 관측자가 직접 하천을 횡단하며 측정하는 방법이며 수심이 얕은 경우 가능하다. 보트법의 경우 상대적으로 공간적 제약을 덜 받으며 교량법의 경우 이용 가능한 교량이 있어야 한다. 따라서 교량법은 현장여건에 따라 관측소와 멀리 떨어져 있는 경우가 있으며 이 경우 측정된 유량을 이용하여 수위-유량관계곡선식을 개발한다면 그 정확도가 떨어질 수 있다. 미국지질조사국(USGS)에서는 관측소와 측정위치가 멀리 떨어진 경우 측정된 유량을 보정하도록 규정하고 있다. 우리나라의 경우 유량 보정을 실시하지 않는 것으로 파악되었다. 하지만 이는 수위-유량관계곡선식, 특히 외삽부분에서 큰 오류를 유발할 수도 있어 신중할 필요가 있다. 본 연구에서는 수위관측소와 측정위치가 현저하게 먼 경우 유량 보정방법을 살펴보고 실측유량과 보정유량의 차이를 확인하였다. 대상지점인 낙동강 유역의 안동시(운산리) 지점은 홍수측정위치와 수위관측소 위치가 약 1.7km 이격되어 있으며, 2020년 측정성과(부자)를 이용하여 이를 보정하고 그 차이를 확인하였다. 보정결과 실측유량과 보정유량이 최고 5.0%, 평균 3.7% 차이를 보이는 것으로 확인되었다. 안동시(운산리)지점은 2020년 측정 최고수위가 3.35m이며, 이는 평수위에서 약 2.00m 가량 상승한 것으로 최고 홍수위로 보기는 어렵다. 즉 이보다 더 큰 홍수 사상이 발생하여 수위가 더 상승한다면 실측유량과 보정유량의 차이는 더 커질 것으로 예상된다. 또한 수위관측소와 측정위치가 이격된 경우 측정된 성과가 루프(Loop) 형태를 보일 수 있어 보정이 필요한 것으로 판단된다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.2
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• pp.56-68
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• 2011

Wet canopy evaporation ($E_{WC}$) has been recognized as a significant component of total evapotranspiration, especially in forests and therefore it is critical to accurately assess $E_{WC}$ to understand forest hydrological cycle. In this review, I focused on the measurement methods and evaluating the magnitudes of $E_{WC}$ at diverse forest types (e.g., deciduous, coniferous, mixed, and rain forests). I also present the general issues to be considered for $E_{WC}$ measurements. The commonly used measurement methods for $E_{WC}$ include the water balance, energy balance, and the Penman-Monteith (PM) methods. The magnitudes of $E_{WC}$ ranged from 5 to 54% of precipitation based on the literature review, showing a large variation even for a similar forest type possibly related to canopy structure, rainfall intensity, and other meteorological conditions. Therefore, it is difficult to draw a general conclusion on the contribution of $E_{WC}$ to evapotranspiration from a particular forest type. Errors can arise from the measurements of precipitation (due to varying wind effect) and throughfall (due to spatial variability caused by canopy structure) for water balance method, the measurements of sensible heat flux and heat storage for energy balance method, and the estimation of aerodynamic conductance and unaccounted sensible heat advection for the PM method. For a reliable estimation of $E_{WC}$, the combination of ecohydrological and micrometeorological methods is recommended.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.159-174
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• 2017

The long-term imbalances between supply and demand in office market can weaken urban growth since excessive supply of offices led to office market instability and excessive demand of offices weakens growth of urban industry. Recently, there have been a lot of new large-scale supplies, which increased volatility in Seoul office market. Nevertheless, new supply of Seoul office has not been fully examined. Given this, the focus of this article was on confirming the influences of profitability, replacement cost, and demand on new office supplies in Seoul. In examining those influences, another focus was on their relative influences over time. For these purposes, we analyzed quarterly data of Seoul office market between 2003 and 2015 using a vector error correction model (VECM). As a result, in terms of the influences on the current new supply, the impact of supply before the first quarter was negative, while that of office employment before the first quarter was positive. Also, that of interest rate before the second quarter was positive, while those of cap rate before the first quarter and cap rate before the second quarter were negative. Based on the findings, it is suggested that prediction models on Seoul offices need to be developed considering the influences of profitability, replacement cost, and demand on new office supplies in Seoul.

• Spatial Information Research
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• v.20 no.3
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• pp.39-50
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• 2012

The objective of this study is the quantitative analysis of climate change effects by performing several statistical analyses with hydrometeorological data sets for past 30 years in Geum river watershed. Temperature, precipitation, relative humidity data sets were collected from eight observation stations for 37 years(1973~2009) in Geum river watershed. River level data was collected from Gongju and Gyuam gauge stations for 36 years(1973~2008) considering rating curve credibility problems and future long-term runoff modeling. Annual and seasonal year-to-year variation of hydrometeorological components were analyzed by calculating the average, standard deviation, skewness, and coefficient of variation. The results show precipitation has the strongest variability. Run test, Turning point test, and Anderson Exact test were performed to check if there is randomness in the data sets. Temperature and precipitation data have randomness and relative humidity and river level data have regularity. Groundwater level data has both aspects(randomness and regularity). Linear regression and Mann-Kendal test were performed for trend test. Temperature is increasing yearly and seasonally and precipitation is increasing in summer. Relative humidity is obviously decreasing. The results of this study can be used for the evaluation of the effects of climate change on water resources and the establishment of future water resources management technique development plan.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.608-608
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• 2012

현재 기후변화의 기상변동성이 커짐에 따라 태풍 및 집중호우 등의 이상기후 현상이 전 지구상에 걸쳐 광역적으로 나타나고 있다. IPCC에서는 이러한 기후변화가 기온 상승에 따른 증발산량의 증가, 강수량 및 유출량의 시공간적 분포의 변동 등을 초래하여 수자원의 효율적 관리 및 안정적인 공급에 어려움을 증대시킬 것으로 전망하였다. 뿐만 아니라 현재 국내 전반에 걸쳐 4대강 사업이 진행되고 있고, 낙동강에서도 낙동강 살리기 사업이 실시되어 주변 지형들의 변화가 진행되고 있다. 이러한 지형의 변화는 현재까지 구축되어 있는 기존자료의 대폭적인 변화를 의미하므로 홍수관련 연구결과에도 변화를 의미하고 있다. 이에 따라 4대강 사업 이후의 기후 변화에 따른 낙동강유역에서의 유출량의 증가를 분석하여 극한홍수의 발생가능성을 제시하고 이러한 극한홍수발생에 따른 위험지역도 과거에 의해 변경될 것으로 판단되어 국내외적으로 하천의 수리검토에 널리 사용되고 있는 1차원 수리해석 프로그램인 FLDWAV를 이용하여 취약지점을 분석하고 위험도를 분석하고자 한다. 낙동강 살리기 사업으로 낙동강에 건설된 8개의 보를 고려한 본류 및 지류에서의 제내지 및 제외지 지형데이터를 구축하고 구축된 자료을 이용해 낙동강 본류 및 지류에 대해서 극한홍수시 200년 빈도, 500년 빈도 홍수량 및 홍수위를 FLDWAV를 통해 정상류로 계산해서 예측하고 500년 빈도 홍수량과 홍수위를 부정류로 계산하여 제방고와 홍수위를 비교하여 범람위험지역을 선정하였다. 그리고 그 결과를 통해 GIS를 통하여 범람위험지역 제내지의 주요도심 구간 포함, 범람 범위를 분석함과 동시에 극한홍수에 따른 도심구간, 비도시구간 등의 범람범위를 분석하였다. 또한 선정한 범람위험지역의 범람 피해규모를 산정하고 피해범위의 현황을 파악하였다. 연구의 결과는 다음과 같이 나타났다. 500년 빈도 홍수시 범람위험지역은 낙동강 본류의 하류부에서 각각 154.7km, 123.2km, 12.9km에 위치한 지점이 선정되었으며 각 지점의 피해규모는 제내지에 범람된 유출량의 수위는 각각 21.7m, 24.3m, 2.11m로 계산되었고 이때의 피해면적은 각각 $2.68km^2$, $2.64km^2$, $1.25km^2$로 나타났다. 이 결과는 기후변화로 인한 극한홍수 발생 가능성과 취약지점의 분석을 통한 지역의 홍수피해 저감과 정책개발에 기본 자료로 활용될 것이며 낙동강 살리기 사업으로 인한 하천주변 지형의 변화를 제공함으로서 앞으로 진행될 연구의 기본 자료로서 이용가능 할 것으로 판단된다. 또한 이전의 홍수방어계획을 개선한 새로운 홍수방어계획의 수립을 통하여 향후 발생될 홍수의 예방 및 대응방안 수립의 참고자료로 이용될 것이며 제내지 및 제외지의 공간확보 연구를 통해 해당 지자체의 토지매수계획의 참고자료로 이용 가능할 것으로 기대된다.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.359-374
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• 2023

The main purpose of this paper is to explore the relationship between the transformation of Chinese regional development policy and trends in spatial inequality in mainland China. More specifically, it has attempted to identify the effects of Chinese regional development policies on regional economic inequality by investigating the coefficient of variation and Gini coefficient with GRDP in the province level. Regional inequality in China had increased from 1979 economic reform, but has eased since the 10th Five Year Plan(2001~2005) due to large-scale state investments in the western, central and northeastern regions. However, the analysis is likely to be resulted from the national level. Trends in regional inequality are differentiated in accordance with the eastern, central, northeastern and western regions. For example, regional inequality in the central region has increased, whereas other three regions has decreased since the 10th Five Year Plan. It has played a role in cutting down regional inequality in the national level. In particular, the central region has kept inequality since the 12th Five Year Guideline. It has led to the convergence of the regional economies in the national level. It has stemmed from some limits to greater regional policies in the Central region enforced in the 11th Five Year Guideline(2005~2010).

• Korean Journal of Remote Sensing
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• v.33 no.6_1
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• pp.917-930
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• 2017

To understand the temporal and spatial variations of surface chlorophyll-a concentration (Chl-a) distribution in the Indian Ocean ($30^{\circ}E{\sim}120^{\circ}E$, $30^{\circ}S{\sim}30^{\circ}N$) by the Indian Ocean Dipole (IOD), we conducted EOF and K means analyses of monthly satellite-derived Chl-a data in the region during 1998~2016 periods. Chl-a showed low values in the central region of the Indian Ocean and relatively high values in the upwelling region and around the marginal regions of the Indian Ocean. It also had a strong seasonal variation of Chl-a, showing the lowest value in the spring and the highest value in summer due to the change of the monsoon and current system. The EOF analysis showed that Chl-a variation in EOF mode 1 is related to ENSO (El $Ni{\tilde{n}}o$/Southern Oscillation) and that of mode 2 is linked to IOD. Both modes explained spatially opposite trends of Chl-a in the east and west Indian Ocean. From K means analysis, the Chl-a variation in the east and west Indian Ocean, and around India have relatively good relationship with IOD while that in the tropical and middle Indian Ocean closely associated with ENSO. The spatial and temporal distribution of Chl-a also showed distinct spatial and temporal variations depend on the different types of IOD events. IOD classifies two patterns, which occurred during the developing ENSO (First Type IOD) and the year following ENSO event (Second Type IOD). Chl-a variation in the First Type IOD started in summer and peaked in fall around the east and west Indian Ocean. Chl-a variation in the Second Type IOD occurred started in spring, peaked in summer and fall, and disappeared in winter. In the Chl-a variation related to IOD, developing process appearing in the Chl-a difference between the east and west Indian ocean was similar. Chl-a variation in the northern Indian Ocean were opposite trend with changing developing phase of IOD.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.7 no.2
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• pp.78-86
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• 2002

Abundance, carbon biomass and chlorophyll a concentration of each size-fractionated plankton on the basis of trophical level were investigated in terms of spacial and temporal distribution, and interactions between each biological parameter and environmental factors in Jungmun coastal waters of Jeju Island from July 1999 to June 2000. Heterotrophic picoplankton (HPP) abundance averaged 1.4${\times}$$10^{6}$ cells ${\cdot}$ $ml^{-1}$ at of offshore and 8.3${\times}$$10^{5}$ cells ${\cdot}$ $ml^{-1}$ at inshore, while autotrophic picoplankton (APP) abundance 9.9${\times}$$10^{4}$ cells ${\cdot}$ $ml^{-1}$ at of offshore and 7.1${\times}$$10^{4}$ cells ${\cdot}$ $ml^{-1}$ at inshore. They were more abundant at of offshore than at inshore, and also more abundant than the other areas of Korean waters. On the other hand, heterotrophic and autotrophic nanoplankton (HNP, ANP) were more abundant at inshore than at of offshore. Microplankton (AMP) abundance was affected by diatom (r=0.962, P${\le}$0.001) at inshore and by dinoflagellate (r=0.868, P${\le}$0.001) at of offshore. However correlations between each plankton group in terms of size and trophic level were not significant. Carbon biomass showed as same as the distribution pattern of abundance, but composition percentage of each biomass of plankton group were quite different from that of abundance, representing the highest percentage in ANP. Seasonal fluctuation of chlorophyll a were different according to size class, showing the highest with 0.42 ${\mu}g$CHl-${\alpha}$${\cdot}$$1^{-1}$(57.9%) of APP in March 2000, 1.42 ${\mu}g$CHl-${\alpha}$${\cdot}$$1^{-1}$(74.7%) of ANP in May 2000, and 1.51 ${\mu}g$CHl-${\alpha}$${\cdot}$$1^{-1}$(81.8%) of AMP in July 1999. Correlation between biological parameters and environmental factors by principle component analysis revealed that the first factor as main explanation is the increasing of phosphorus and silica and the increasing of the at both of offshore and inshore. The N:P ratio were 36.4 at inshore and 32.6 at of offshore, showing the lack of phosphorus. Thus we suggest that phosphorus might be a main limiting factor to affect phytoplankton community in the study area.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.5
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• pp.439-458
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• 2013

Temporal and spatial variations of water quality were investigated in the Cheonsu Bay of Yellow Sea, Korea from 2010 to 2011. Water samples were collected at 16 stations and physicochemical parameters were analyzed including water temperature, salinity, suspended solids (SS), chemical oxygen demand (COD), dissolved oxygen (DO), Chlorophyll a and nutrients. Spatial distribution patterns of all survey items were not clear among stations but the bimonthly variations were distinct except the bottom water of the suspended solids. The trend analysis by principal component analysis (PCA) during 2 years revealed the significant variations in water quality in the study area. Spatial water qualities were discriminated into 3 clusters by PCA; station cluster in the surface water 1, 2~11, and 12~16, the bottom water 1, 2~7, and 8~16. Annual bimonthly water qualities were clearly discriminated into 3 clusters by PCA. But tend of cluster in the surface and bottom water was difference, period most of the research was low in nutrient. Ecology-based water quality criteria was a good level of grade II. Bimonthly results are shown as III grade(normal) at June and August, II grade(good) at October and December and I grade for February and April. Water quality was showed by the input of fresh water same as those of Kyoungin coastal area, Asan coastal area, Gunsan coastal and Mokpo coastal area in the Cheonsu.