Integrated modelling for sediment management in a watershed of dynamic land use

动态土地利用流域沉积物管理综合建模

• 批准号: 19F19052
• 负责人: 川池 健司
• 金额: $ 1.47万
• 依托单位: Kyoto University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2019
• 资助国家: 日本
• 起止时间: 2019-04-25 至 2021-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-19F19052/
• 关键词: climate change; sediment yield; rainfall erosibity

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.

我们研究的主要目的是在动态土地使用的流域中进行沉积物管理的集成建模。尼泊尔的一个流域由丘陵和平坦的地形组成，以评估山丘的沉积物产量及其对平坦地形河床进化的影响。去年，我们分析了在气候变化下研究区域的沉积物产量。我们发表了两份经过同行评审的期刊论文。研究区域的沉积物产量是在基准时间段下进行的。从现场访问中，收集了与水电学，土壤，土地使用土地覆盖（LULC），高程和地形数据有关的不同数据。我们还评估了尼泊尔加德满都谷的一个小流域中公民科学（CS）数据在流域管理中的适用性。用观察到的数据验证了沉积物产量估计模型。然后，在不同的气候模型下，在不同的未来时间（2025-2050），中间（2025-2050），中间（2051-2075）和Farture（2076-2100）预测沉积物产量：使用不同的气候模型。估算均采用了基于物理的模型和经验模型。目前，正在审查两个手稿：1）国际气候杂志和2）水文科学杂志。第一个重点是在研究区域中的极端降水指数的时空分布在当前和将来的情景中，而后者则集中于极端降水事件中的降雨跑和淹没建模。现在，我们将专注于更改LULC。

项目成果

Future assessment of rainfall erosivity (R-factor) in West Rapti Basin, NEPAL based on RUSLE and CMIP5 climate models

基于 RUSLE 和 CMIP5 气候模型对尼泊尔西拉普蒂盆地降雨侵蚀力（R 因子）的未来评估

• 发表时间: 2019
• 期刊: Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
• 作者: Rocky Talchabhadel;Hajime Nakagawa;Kenji Kawaike;Kazuki Yamanoi;and Anil Aryal
• 通讯作者: and Anil Aryal

Estimation of anticipated climate change impact on sediment yield: A case study of West Rapti basin, Nepal

估计气候变化对产沙量的影响：以尼泊尔西拉普蒂盆地为例

• 发表时间: 2019
• 作者: Rocky Talchabhadel;Rajaram Prajapati;Hajime Nakagawa;Kenji Kawaike
• 通讯作者: Kenji Kawaike

Effects of DEM accuracy on sediment modelling results

DEM 精度对沉积物模拟结果的影响

• 发表时间: 2019
• 作者: Rocky Talchabhadel;Hajime Nakagawa;Kenji Kawaike
• 通讯作者: Kenji Kawaike

Evaluating the rainfall erosivity (R-factor) from daily rainfall data: an application for assessing climate change impact on soil loss in Westrapti River basin, Nepal

• DOI: 10.1007/s40808-020-00787-w
• 发表时间: 2020-04
• 期刊: Modeling Earth Systems and Environment
• 影响因子: 3
• 作者: Rocky Talchabhadel;H. Nakagawa;K. Kawaike;Rajaram Prajapati

Quantifying anticipated impacts of climate change on soil loss: a case study of the West Rapti basin, Nepal

量化气候变化对土壤流失的预期影响：尼泊尔西拉普蒂盆地的案例研究

• 发表时间: 2019
• 作者: Rocky Talchabhadel;Rajaram Prajapati;Anil Aryal;Hajime Nakagawa;Kenji Kawaike
• 通讯作者: Kenji Kawaike