京都大学 · Environmental Science
단국대학교 환경공학과 도강빈 교수 연구실은 메콩 강 유역의 기후변화와 인위적 간섭이 초래하는 수문·수질 변화를 중심으로 연구를 전개하고 있습니다. 특히 메콩 강 하구지역의 유량 변화, 염수 침투, 강저 침식, 가뭄·염수 침투 복합위협 등에 대한 종합적 분석과 기계학습, 수치모의 기반 정량적 평가를 통해 기후변화 대비 능력을 제고하는 데 초점을 맞추고 있습니다. 연구는 현장 관측, 위성 데이터, 수문모델링을 융합하여 실질적인 정책적 시사점을 도출하고자 합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
The Mekong basin, where climate change and anthropogenic interventions (e.g., dams, sand mining, and sluice gates) have intensified in the recent decades affecting the pristine flow regime and salinity intrusion. This paper aims at quantifying the flow regime alterations in the entire Mekong from 1980 to 2015 and linking with the controlling drivers of alterations. In this regard, various indicators, analytical methods, and a semi two-dimensional hydrodynamic and advection-dispersion model were
Abstract The hydrogeomorphology of the Vietnamese Mekong Delta (VMD) has been significantly altered by natural and anthropogenic drivers. In this study, the spatiotemporal changes of the flow regime were examined by analysing the long‐term daily, monthly, annual and extreme discharges and water levels from 1980 to 2018, supported by further investigation of the long‐term annual sediment load (from the 1960s to 2015), river bathymetric data (in 1998, 2014 and 2017) and daily salinity concentratio
Abstract In this study, six machine learning (ML) models, namely, random forest (RF), Gaussian process regression (GPR), support vector regression (SVR), decision tree (DT), least squares support vector machine (LSSVM), and multivariate adaptive regression spline (MARS) models, were employed to reconstruct the missing daily‐averaged discharge in a mega‐delta from 1980 to 2015 using upstream‐downstream multi‐station data. The performance and accuracy of each ML model were assessed and compared wi
River bank (RB) erosion is a global issue affecting livelihoods and properties of millions of people. However, it has not received enough attention in the Vietnamese Mekong Delta (VMD), i.e., the world’s third largest delta, compared to salinity intrusion and flooding. There have been several studies examining RB and coastal erosion in the VMD using remotely sensed satellite data, but the applied methodology was not adequately validated. Therefore, we developed a novel SRBED (Spectral RB Erosion
Hydropower dams have been rapidly developed in the upstream Mekong River Basin without considering the downstream related issues. This research aims at investigating possible impacts of six hydropower dams of the Lancang cascade in the main Mekong River on flow regimes, including the magnitude, timing, and inter-and-intra variations, of the Vietnamese Mekong Delta (VMD) based on time series of historical flow data at TanChau station as a protocol. The results show that the impacts of the first f
Drought and salinity intrusion (DSI) increasingly threaten agriculture and aquaculture in coastal regions. Focusing on the Vietnamese Mekong Delta (VMD), we examined how DSI from 2000 to 2020 influences rice cropping, aquaculture area, and rice yield across seven coastal provinces. <i>In-situ</i> discharge and salinity monitoring, combined with satellite-derived land use data and yield validation, revealed the highest DSI impacts during the 2010-2011, 2015-2016, and 2019-2020 dry seasons. Local