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Flood risk reduction and flow buffering as ecosystem services - Part 2: Land use and rainfall intensity effects in Southeast Asia

机译:洪水风险减少和流动缓冲作为生态系统服务 - 第2部分:东南亚土地利用和降雨强度效应

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Watersheds buffer the temporal pattern of river flow relative to the temporal pattern of rainfall. This "ecosystem service" is inherent to geology and climate, but buffering also responds to human use and misuse of the landscape. Buffering can be part of management feedback loops if salient, credible and legitimate indicators are used. The flow persistence parameter F-p in a parsimonious recursive model of river flow (Part 1, van Noordwijk et al., 2017) couples the transmission of extreme rainfall events (1-F-p), to the annual base-flow fraction of a watershed (F-p). Here we compare F-p estimates from four meso-scale watersheds in Indonesia (Cidanau, Way Besai and Bialo) and Thailand (Mae Chaem), with varying climate, geology and land cover history, at a decadal timescale. The likely response in each of these four to variation in rainfall properties (including the maximum hourly rainfall intensity) and land cover (comparing scenarios with either more or less forest and tree cover than the current situation) was explored through a basic daily water-balance model, GenRiver. This model was calibrated for each site on existing data, before being used for alternative land cover and rainfall parameter settings. In both data and model runs, the wet-season (3-monthly) F-p values were consistently lower than dry-season values for all four sites. Across the four catchments F-p values decreased with increasing annual rainfall, but specific aspects of watersheds, such as the riparian swamp (peat soils) in Cidanau reduced effects of land use change in the upper watershed. Increasing the mean rainfall intensity (at constant monthly totals for rainfall) around the values considered typical for each landscape was predicted to cause a decrease in F-p values by between 0.047 (Bialo) and 0.261 (Mae Chaem). Sensitivity of F-p to changes in land use change plus changes in rainfall intensity depends on other characteristics of the watersheds, and generalisations made on the basis of one
机译:相对于降雨的时间模式,流域缓冲了河流流量的时间模式。这种“生态系统服务”是地质和气候所固有的,但缓冲也对人类对景观的利用和滥用做出反应。如果使用显著、可信和合法的指标,缓冲可以成为管理反馈循环的一部分。河流流量的简约递归模型(van Noordwijk等人,2017年,第1部分)中的流量持续性参数F-p将极端降雨事件(1-F-p)的传播与流域的年基流分数(F-p)耦合起来。在这里,我们比较了印度尼西亚(Cidanau、Way Besai和Bialo)和泰国(Mae Chaem)四个中尺度流域的F-p估计值,它们在十年时间尺度上具有不同的气候、地质和土地覆盖历史。通过一个基本的每日水平衡模型GenRiver,探索了这四种情况对降雨特性(包括最大每小时降雨强度)和土地覆盖变化的可能反应(比较森林和树木覆盖率高于或低于当前情况的情景)。该模型在用于替代土地覆盖和降雨参数设置之前,根据现有数据对每个场地进行了校准。在数据和模型运行中,所有四个地点的雨季(3个月)F-p值始终低于旱季值。在四个集水区中,F-p值随着年降雨量的增加而降低,但集水区的特定方面,如Cidanau的河岸沼泽(泥炭土),降低了上游集水区土地利用变化的影响。据预测,在每个景观的典型值附近增加平均降雨强度(以恒定的月降雨量总和计算),将导致F-p值下降0.047(比亚洛)至0.261(梅恰姆)。F-p对土地利用变化和降雨强度变化的敏感性取决于流域的其他特征,以及基于这些特征的概括

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