首页> 外文期刊>Hydrology and Earth System Sciences >Flood risk reduction and flow buffering as ecosystem services - Part 2: Land use and rainfall intensity effects in Southeast Asia
【24h】

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

获取原文
获取原文并翻译 | 示例
       

摘要

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:流域缓冲了河流的时间模式,相对于降雨的时间模式。这种“生态系统服务”是地质和气候所固有的,但缓冲也应对人类使用和滥用景观。如果使用突出,可信和合法的指标,则缓冲可以是管理反馈循环的一部分。流量持续参数FP在河流的报价递归模型中(第1部分,Van Noordwijk等,2017)夫妻致力于分水岭的年度基础流动分数(FP) )。在这里,我们将F-P估计从印度尼西亚(Cidanau,Way Besai和Bialo)和泰国(Mae Chaem)的四个中间水平分流估计进行了比较,其在划分的时间表中具有不同的气候,地质和土地覆盖历史。通过基本的日常水平探讨这四个降雨属性(包括最大每小时降雨强度)和陆地覆盖(包括或多或少森林和树木和树木覆盖的场景比较)的可能响应模型,种子。在用于替代土地覆盖和降雨参数设置之前,该模型针对现有数据的每个站点进行了校准。在两个数据和模型运行中,湿季(3-每月)F-P值始终低于所有四个地点的干季值。随着年降雨量的增加,跨越年降雨量的F-P值减少,但流域的具体方面,如爬行机的河豚沼泽(泥炭土壤)减少了地下水道的土地利用变化的影响。预计围绕每个景观所认为典型的值的平均降雨强度(降雨量恒定的降雨总计)预计将在0.047(Bialo)和0.261(Mae Chaem)之间降低F-P值。 F-P对土地利用变化变化的敏感性加上降雨强度的变化取决于流域的其他特征,以及在一个人的基础上制定的概括

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号