Department of Civil and Disaster Prevention Engineering, National United University, Miaoli City 36063, Taiwan.
Department of Computer Science and Information Engineering, National United University, Miaoli City 36063, Taiwan.
Int J Environ Res Public Health. 2019 Jan 18;16(2):266. doi: 10.3390/ijerph16020266.
The Chenyulan watershed, located in the central mountain area of Taiwan, has been suffering from earthquakes, typhoons, and heavy rainfalls in recent decades. These sequential natural disturbances have a cumulative impact on the watershed, leading to more fragile and fragmented land cover and loss of capacity of soil water conservation. In this study, the Soil and Water Assessment Tool (SWAT) and a landscape metrics tool (FRAGSTATS) were used to assess the direct impact (e.g., by annual rainfall) and indirect impact (e.g., by landscape configuration and composition) of natural disturbances on the ecohydrological processes of the Chenyulan watershed. Six SPOT satellite images from 2008 to 2013 were analyzed by using the nearest feature line embedding (NFLE) approach and reclassified into six land cover types: forest, cultivated land, grassland, river, landslide, and built-up. Forest was found to have the largest patch size, indicating that it is more resilient to disturbances, while agricultural land tended to expand from the river side toward the hill. Two land cover change scenarios were compared in the SWAT model. The results showed that there was no significant difference in simulated streamflow during 2004⁻2015 and sediment loading during 2004⁻2009; however, the model performed better for sediment loading during 2010⁻2015 with dynamic land cover change (coefficient of determination (R²) = 0.66, Nash-Sutcliffe efficiency coefficient (NSE) = 0.62, percent bias (PBIAS) = 10.5%, root mean square error observation standard deviation ratio (RSR) = 0.62) than with constant land cover (R² = 0.61, NSE = 0.54, PBIAS = -17.3%, RSR = 0.68), indicating that long-term land cover change should be considered in hydrologic modeling. Changes in landslides during 2008⁻2013 were found to significantly affect ecohydrological processes, especially after 2011. In general, annual precipitation plays a dominant role, and landscape composition had by far the strongest influence on water yield and sediment yield compared to landscape configuration. The results can be useful for understanding the effects of land cover change on ecohydrological processes in the Chenyulan watershed and the potential impact of ecohydrological changes on the environment and public health.
陈有兰溪流域位于台湾中央山脉区,近几十年来一直遭受地震、台风和暴雨的影响。这些连续的自然干扰对流域产生了累积影响,导致土地覆盖更加脆弱和破碎,土壤保持水分的能力丧失。本研究利用土壤和水评估工具 (SWAT) 和景观格局分析工具 (FRAGSTATS),评估了自然干扰对陈有兰溪流域生态水文过程的直接影响(如年降雨量)和间接影响(如景观格局和组成)。利用最近特征线嵌入 (NFLE) 方法对 2008 年至 2013 年的六张 SPOT 卫星图像进行了分析,并重新分类为六种土地覆盖类型:森林、耕地、草地、河流、滑坡和建成区。结果表明,森林的斑块面积最大,表明其对干扰的恢复能力更强,而耕地则倾向于从河边向山坡扩展。在 SWAT 模型中比较了两种土地覆盖变化情景。结果表明,2004 年至 2015 年模拟的径流量和 2004 年至 2009 年模拟的泥沙负荷没有显著差异;然而,考虑动态土地覆盖变化的模型在 2010 年至 2015 年的泥沙负荷表现更好(决定系数 (R²) = 0.66,纳什-苏特克里夫效率系数 (NSE) = 0.62,偏度百分比 (PBIAS) = 10.5%,观测标准偏差比的根均方误差 (RSR) = 0.62),而恒定土地覆盖的模型(R² = 0.61,NSE = 0.54,PBIAS = -17.3%,RSR = 0.68),表明在水文模型中应考虑长期土地覆盖变化。2008 年至 2013 年期间滑坡的变化对生态水文过程有显著影响,尤其是 2011 年之后。总的来说,年降水量起着主导作用,与景观配置相比,景观组成对产水量和泥沙产量的影响最大。研究结果有助于了解土地覆盖变化对陈有兰溪流域生态水文过程的影响,以及生态水文变化对环境和公共健康的潜在影响。