http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
국내 수계의 남조류 원격모니터링을 위한 고유분광특성모델 개선 연구
하림,남기범,박상현,신현주,이혁,강태구,이재관 한국물환경학회 2019 한국물환경학회지 Vol.35 No.6
The purpose of this study was improve accuracy the IOPs inversion model(IOPs-IM) developed in 2016 for phycocyanin(PC) concentration estimation in the Nakdong River. Additionally, two optimum models were developed and evaluated with 2017 measurement field spectral data for the Geum River and the Yeongsan River. The used measurement data for IOPs-IM analyzation was randomly classified as training and verification materials at the ratio of 2:1 in all data sets. Using the training data set from 2015-2017, accuracy results of the IOPs-IM generally improved for the Nakdong River. The RMSE(Root Mean Square Error) decreased by 14% compared to 2016. For the GeumRiver, the results of the IOPs-IM were suitable, except for some point results in 2016. Results of the IOPs-IM in the Yeongsan River followed the overall 1:1 line and MAE(Mean Absolute Error) was lower than other rivers. But the RMSE and MAE values were higher. As a result of applying the validation data to the IOPs-IM, the accuracy of the Nakdong River was reduced to RMSE 17.7% and MRE 16.4%, respectively compared with 2016. However, the MRE(Mean Relative Error) was estimated to be higher by 400% in the Geum River, and the RMSE was more than 100 ㎎/㎥ of the Yeongsan River. Therefore, it is necessary to get the continuously data with various sections of each river for obtain objective and reliable results and the models should be improved.
환경부 토지이용정보를 이용한 수도권의 미래 기후변화에 따른 토양유실 예측 및 평가
하림,조형경,김성준,Ha, Rim,Joh, Hyungkyung,Kim, Seongjoon 한국관개배수위원회 2014 한국관개배수논문집 Vol.21 No.1
This study is to evaluate the future potential impact of climate change on soil erosion loss in a metropolitan area using Revised Universal Soil Loss Equation(RUSLE) with land use information of the Ministry of Environment and rainfall data for present and future years(30-year period). The spatial distribution map of vulnerable areas to soil erosion was prepared to provide the basis information for soil conservation and long-term land use planning. For the future climate change scenario, the MIROC3.2 HiRes A1B($CO_2720ppm$ level 2100) was downscaled for 2040-2069(2040s) and 2070-2099(2080s) using the stochastic weather generator(LARS-WG) with average rainfall data during past 30 years(1980-2010, baseline period). By applying the climate prediction to the RUSLE, the soil erosion loss was evaluated. From the results, the soil erosion loss showed a general tendency to increase with rainfall intensity. The soil loss increased up to 13.7%(55.7 ton/ha/yr) in the 2040s and 29.8%(63.6 ton/ha/yr) in the 2080s based on the baseline data(49.0 ton/ha/yr).
NOAA AVHRR 위성영상과 기후변화 시나리오에 의한 기상자료를 이용한 미래 식생정보 예측 기법 개발
하림(Rim Ha),신형진(Hyung Jin Shin),박근애(Geun Ae Park),김성준(Seong Joon Kim) 대한공간정보학회 2007 한국지형공간정보학회 학술대회 Vol.2007 No.6
기후변화는 강수유형, 기온상승과 일사량의 변화로 인한 증발산량의 변화, 유역 식생피복변화로 인한 지표-대기 관계의 변화와 같은 현상을 통해 지역 부존 수자원과 유출량에 큰 변화를 가져올 수 있다. 특히 지표면의 76%를 차지하고 있는 식생피복은 지표와 대기사이의 물 순환과정에서 중요한 인자이다. 본 연구에서는 넓은 지역에 대한 식생피복의 파악이 용이한 NOAA 위성의 AVHRR (Advanced Very High Resolution Radiometer) 센서로 부터 얻을 수 있는 정규화 식생지수 (Normalized Difference Vegetation Index, NDVI)를 통하여 현 식생정보를 정량화하였다. 이로부터 토지피복별 NDVI와 기상인자(기온, 강수량, 일조시간, 풍속, 습도) 사이의 상관관계를 분석하고, 이를 기후변화 시나리오에 의한 기상인자로 부터 토지피복에 따른 미래 NDVI를 추정하였다.
LM3V 모델을 이용한 질소 순환 모의 및 적용성 평가
하림 ( Rim Ha ),박민지 ( Min-ji Park ),김경현 ( Kyung-hyun Kim ),이준우 ( Jun-woo Lee ),김성준 ( Seong-joon Kim ) 한국농공학회 2013 한국농공학회 학술대회초록집 Vol.2013 No.-
Interactions between the terrestrial carbon (C) and nitrogen (N) cycles shape the response of ecosystems to global change. The limitation of ecosystem C storage due to N availability, and the response of N<sub>2</sub>O emissions to environmental conditions and N addition have been intensively studied. The global anthropogenic changes in C and N cycles call for modeling tools that are able to address and quantify essential interactions between N, C, and climate in terrestrial ecosystems. Recently, a growing number of global land surface models provide a means to scale ecological understanding of the nitrogen cycle to regional and global scales with the ultimate aim to investigate the magnitude of nitrogen cycling effects on global biogeochemistry, as well as their indirect consequences for biogeophysical land-atmosphere interactions. In this study, LM3V land surface model was applied within a prognostic N cycle for applicability in South Korea. LM3V was developed by the Princeton-Geophysical Fluid Dynamic Laboratory (GFDL). The model captures mechanisms essential for N cycling and their feedbacks on C cycling : N limitation of plant productivity, the N dependence of C decomposition and stabilization in soils, removal of available N by competing sinks, ecosystem losses that include dissolved organic and volatile N, and ecosystem inputs through biological N fixation. The model also captures many essential characteristics of C-N interactions and is capable of broadly recreating spatial and temporal variations in N and C dynamics. The introduced N dynamics improve the model's short-term NPP response to step changes in CO<sub>2</sub>.