| Project/Area Number |
24K17352
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 22040:Hydroengineering-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
KULKARNI SNEHA 東京大学, 大学院工学系研究科(工学部), 特任研究員 (60992493)
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| Project Period (FY) |
2024-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2024)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2025: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2024: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | DNHCE / Droughts / CDI / PCA / Socio-economic stress / Extremes / socio-economic stress / GDIS |
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| Outline of Research at the Start |
The goals of this research will be achieved through three objectives. The first objective is to develop a global combined drought indicator that accurately assesses the impacts of hydro-climatological droughts. The second objective is to investigate the occurrences of DNHCE events, their effects, and the possible reasons behind them. Results from these objectives will contribute to addressing the third objective, which involves studying the responses of developing and developed countries to DNHC events and their vulnerability.
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| Outline of Annual Research Achievements |
We have completed the data collection and processing required to develop a Combined Drought Indicator (CDI) at the global scale for the period 2001 to 2023. In this process, rainfall and temperature were considered as meteorological indicators. Rainfall data were obtained from the CHIRPS dataset, while temperature data were sourced from the ERA5-Land reanalysis dataset. For agricultural variables, we used soil moisture and NDVI, acquired from ERA5-Land and MODIS, respectively. Hydrological conditions were represented using groundwater and surface runoff data, both extracted from ERA5-Land.
Since the input datasets varied in spatial and temporal resolutions, they were initially resampled to a uniform 0.1-degree spatial resolution and monthly temporal scale using interpolation techniques. Principal Component Analysis (PCA) was then applied to assign weights to each of the input variables, enabling the computation of monthly CDI values across global regions.
In parallel, we reviewed over 1,000 peer-reviewed articles indexed in Web of Science to identify potential drivers of droughts without Hydro-climatological extremes (DNHCE). This analysis revealed several key non hydro-climatic drivers of such DNHCE events, including migration, war, internal conflicts, political instability, and land use/land cover changes.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
We successfully completed the data collection and processing for the Combined Drought Indicator (CDI) at the global scale within the deadline we had set. The relevant results have been thoroughly documented, published, and presented at the planned conferences, all within a reasonable timeframe.
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| Strategy for Future Research Activity |
We are currently focusing on finalizing the drivers of Droughts with No Hydro-Climatological Extremes (DNHCE) and collecting literature references linked to specific GDIS events across various regions. A key component of this effort involves gathering and documenting online resources, such as ReliefWeb articles, news reports etc., and related content, corresponding to the timeframes of the identified GDIS events.
At this stage, we are facing challenges with local news sources published in native languages, as they often contain valuable but untranslated information. While we are seeking assistance from native speakers for accurate translation, we remain optimistic that with sufficient outreach and collaboration, we will be able to access and utilize these resources effectively.
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