2019 Fiscal Year Annual Research Report
Integrated modelling for sediment management in a watershed of dynamic land use
| Project/Area Number |
19F19052
|
|---|
| Research Institution | Kyoto University |
|---|
Principal Investigator |
川池 健司 京都大学, 防災研究所, 准教授 (10346934)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
TALCHABHADEL ROCKY 京都大学, 防災研究所, 外国人特別研究員
|
|---|
| Project Period (FY) |
2019-04-25 – 2021-03-31
|
| Keywords | climate change / sediment yield / rainfall erosibity |
|---|
| Outline of Annual Research Achievements |
The main purpose of our study is to conduct integrated modelling for sediment management in a watershed of dynamic land use. A watershed in Nepal that consists of both hilly and flat terrain was selected to assess sediment yield from the hill and its effects on riverbed evolution at flat terrain. Last year, we analysed the sediment yield of the study area Under the changing climate. We published two peer-reviewed journal papers.
The sediment yield of the study area was carried out under a baseline time period. From the field visits, different data related to hydro-meteorology, soil, land use land cover (LULC), elevation, and topographical data were collected. We also evaluated the applicability of citizen-science (CS) data for watershed management in a small watershed in Kathmandu valley, Nepal. The sediment yield estimation model was validated with the observed data. Then sediment yields are projected for different future time periods: the near-future (2025-2050), mid-future (2051-2075) and far-future (2076-2100) under different warming scenarios using different climate models. Both physically-based models and empirical models were employed for the estimation.
Currently, two manuscripts are under review: 1) International Journal of Climatology and 2) Hydrological Sciences Journal. The first one focuses on spatio-temporal distribution of extreme precipitation indices in the study area in both present and future scenarios whereas the latter focuses on rainfall-runoff and inundation modelling during extreme precipitation events. We would now focus on changing LULC.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
We are closely working and collaborating with many researchers. A field visit carried at an initial time of last year helped a lot to collect preliminary and secondary data. We are regularly taking advice and suggestions from researchers and professors of Nepal regarding the problems and requirements of the study.
Some of the collected data are yet to be analysed. At the same time, we tried to assess the potential of utilizing remotely sensed data like satellites-derived rainfall estimates.
|
| Strategy for Future Research Activity |
We will emphasize our research under changing land-use practices. A land-use change model will be developed. The sediment yield from upland catchment will be estimated using a numerical model and validated with historical data. The developed model will be used to estimate the projected land-use practices. We will also assess remotely assessed data (different satellite images) for meteorological, soil and land use inputs along with the observed data. Firstly, the model will be validated against the observed sediment data. Under a combination of changing land use and climate change for different future time periods, the sediment yield and transport will be assessed and quantified using the developed model.
We will also propose some low budget CS-based rainfall, water level, and sediment monitoring stations in collaboration with Smartphones4water (S4W) Nepal for continuous measurement. A field visit will be made for sharing last year's outcome in a national/international conference in Nepal and for collecting further data from the field for the research. During the field visit, land use and soil data of the study area will be collected from primary (the site) and different departments. Data on agricultural practices, watershed management and the information of their temporal changes will also be collected. We will try to collect some additional cross-sectional data of the river.
|
Research Products
(7 results)
