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

我们研究的主要目的是进行综合模拟泥沙管理的流域动态土地利用。在尼泊尔的一个集水区，包括丘陵和平坦的地形被选中来评估产沙量从山上和它对河床演变的影响在平坦的地形。去年，我们分析了研究区在气候变化下的产沙量。我们发表了两篇同行评议的期刊论文，研究区的产沙量是在一个基线时间段内进行的。通过实地考察，收集了与水文气象、土壤、土地利用/土地覆盖、海拔和地形数据有关的不同数据。我们还评估了公民科学（CS）数据的流域管理在尼泊尔加德满都山谷的小流域的适用性。利用实测资料对模型进行了验证。在此基础上，利用不同的气候模式，对未来不同时段（近期（2025-2050年）、中期（2051-2075年）和远期（2076-2100年））的产沙量进行了预测。目前，两篇论文正在审查中：1）国际气候学杂志和2）水文科学杂志。第一个侧重于极端降水指数的时空分布在研究区域在目前和未来的情况下，而后者侧重于极端降水事件期间的径流和洪水建模。我们现在将重点放在改变LULC上。

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.