A5100728748- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Climate variability and models
- Energy, Environment, Agriculture Analysis
- Climate change and permafrost
- Hydrology and Drought Analysis
- Geophysics and Gravity Measurements
- Urban Stormwater Management Solutions
- Urban Heat Island Mitigation
- Fish Ecology and Management Studies
- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
- Water-Energy-Food Nexus Studies
- Radioactive contamination and transfer
- Soil and Water Nutrient Dynamics
- Meteorological Phenomena and Simulations
- Soil erosion and sediment transport
- Aquatic Ecosystems and Phytoplankton Dynamics
- Tropical and Extratropical Cyclones Research
- GNSS positioning and interference
- Marine and coastal ecosystems
- Water Quality Monitoring and Analysis
- Water Quality and Pollution Assessment
- Water resources management and optimization
Tokyo Institute of Technology
2016-2025
Higher University of San Andrés
2013
Fukushima University
2006-2008
Public Works Research Institute
1998-2005
China Institute of Water Resources and Hydropower Research
2005
Japan Society of Civil Engineers
1999-2000
The University of Tokyo
1970
Tonle Sap Lake (TSL) Basin in Cambodia. The development and application of hydrological models for data-sparse basins are hindered by the limited hydro-meteorological data. Although gridded meteorological products alternatively considered many studies, validation with point observations overlooks original spatiotemporal characteristics, thus leading to a selection datasets high uncertainty. Here, we evaluated seven rainfall air temperature covering employing statistical approach based on...
To efficiently mitigate the multitude of direct and indirect impacts, basin-scale drought characterization is imperative, particularly for India, where water scarcity continually increasing. We jointly used GRACE gravity data, PCR-GLOBWB model outputs, in situ data to quantify deficits based on land storage (LWS) groundwater (GWS) Peninsular India 35 years from January 1980 December 2014. The results showed that study basins experienced high interannual variations despite minimal linear LWS...
Abstract Using potentially best available rainfall data sets for the entire country of Japan (spatial scales 1‐ and 20‐km), we analyze 1–24 hr city‐scale (1–400 km 2 ) extreme rainfalls both current (2006–2020) future periods (2081–2109) at 1.5 K global warming scenario, complementing previous work that focuses on either coarse spatial temporal or other scenarios (e.g., RCP scenarios). A peak‐over‐threshold (POT)‐based approach is applied to compute areal reduction factor (ARF) subsequently...
Temporal and spatial variations in anthropogenic water vapor (AWV) emissions heat (AH) Tokyo were estimated using data from a geographic information system (GIS) an energy‐consumption database. The maximum value of AWV exceeded 500 W m −2 summer central Tokyo. Estimations validated with field‐measured data. measured agreed well, indicating that sources such as district cooling systems release large amounts into the atmosphere.
River water quality monitoring is crucial for understanding dynamics and formulating policies to conserve the environment. In situ ultraviolet-visible (UV-Vis) spectrometry holds great potential real-time of multiple parameters. However, establishing a reliable methodology link absorption spectra specific parameters remains challenging, particularly eutrophic rivers under various flow conditions. To address this, framework integrating desktop in UV-Vis spectrometers was developed establish...
Abstract Forest ecohydrological feedbacks complicate the threshold behaviour of stormflow response to precipitation or wetting conditions on a long‐term scale (e.g. several years). In this study, behaviours in an evergreen‐deciduous mixed forested headwater catchment southern China were examined during 2009–2015, when damaged vegetation was recovering after great 2008 Chinese ice and snowstorm. The non‐uniqueness thresholds slow rapid responses at outlet different hydro‐climate datasets with...
Accurate quantification of the terrestrial water cycle relies on combinations multisource datasets. This analysis uses data from remotely sensed, in-situ, and reanalysis records to quantify budget/balance component uncertainties in upper Chao Phraya River Basin May 2002 April 2020. Three closure techniques are applied merge independent budget components, creating up 72 probabilistic realizations monthly for Basin. An artificial neural network (ANN) model is used gap-fill between GRACE...
Drought assessment in any region primarily hinges on precipitation deficiency, which is subsequently propagated to various components and sectors, leading different drought types. In countries such as India, an intricate relationship between governing factors, types, their quantification methodologies make it elusive timely initiate government relief measures. This also prevents comprehensive inclusion of the integrated effect principal drivers drought, resulting ambiguous categorization...