...
首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Potential changes in rainfall erosivity under GCM climate change scenarios for the southern Appalachian region, USA
【24h】

Potential changes in rainfall erosivity under GCM climate change scenarios for the southern Appalachian region, USA

机译:美国阿巴拉契亚南部地区在GCM气候变化情景下降雨侵蚀力的潜在变化

获取原文
获取原文并翻译 | 示例
           

摘要

The potential change in rainfall erosivity, the R-factor in the RUSLE model was investigated under three future climate change scenarios A1FI, A1B and B1 in the New River basin of East Tennessee. Data from Community Climate System Model (CCSM) global circulation model (GCM) was used for spatial-temporal statistical down-scaling to the study site. R-factors for future dates were estimated by spatial downscaling of monthly precipitation data obtained from CCSM model and then temporally downscaled to produce daily weather series by means of the CLIGEN stochastic weather generator. CLIGEN was calibrated by the historic rainfall data for the period 1959 to 2000, and used to model future rainfall amounts and associated statistics for 2010-2099. Erosivity R-factors for the historical dataset was estimated as 4085 MJ mm h(-1) ha(-1) and increased between 7% and 49% for future GCM scenarios estimated as 4525.5, 5376.2, and 6281.3 MJ mm h(-1) ha(-1) per B1, A1B, and A1FI scenarios, respectively. Results showed that for all three GCM scenarios increased rainfall erosivities had similar monthly distributions. Projected erosivities suggest that by about 2099 the annual rainfall erosivity in the study region will be about the same as what is currently experienced in northern to central Alabama. The same statistical downscaling technique applied in this study is applicable to other world regions. This study provides necessary information to assess potential changes in sediment yields in the southern Appalachian region from various land use activities impacting soil cover. Particularly important to this region where coal mining activities are common, is estimating the potential in change in sediment yields from this land disturbance, and plan for improved erosion control practices. (C) 2015 Elsevier B.V. All rights reserved.
机译:在东田纳西州新河流域的三个未来气候变化情景A1FI,A1B和B1下,研究了RUSLE模型中降雨侵蚀力的潜在变化,R因子。来自社区气候系统模型(CCSM)全球环流模型(GCM)的数据用于时空统计缩减到研究地点。通过从CCSM模型获得的月降水量数据的空间缩减,可以估算未来日期的R因子,然后通过CLIGEN随机天气生成器在时间上缩减以产生每日天气序列。 CLIGEN已通过1959年至2000年的历史降雨数据进行了校准,并用于对未来的降雨量和2010-2099年的相关统计数据进行建模。历史数据集的侵蚀性R因子估计为4085 MJ mm h(-1)ha(-1),对于未来的GCM场景估计为4525.5、5376.2和6281.3 MJ mm h(-1),R因子增加了7%至49% )分别针对B1,A1B和A1FI方案提供ha(-1)。结果表明,对于所有三种GCM情景,降雨侵蚀力的增加都具有相似的月度分布。预计的侵蚀力表明,到2099年左右,研究区域的年降雨侵蚀力将与阿拉巴马州北部至中部目前的降雨侵蚀力大致相同。本研究中使用的相同的统计缩减技术适用于世界其他地区。这项研究提供必要的信息,以评估阿巴拉契亚南部地区因影响土地覆盖的各种土地利用活动而产生的潜在沉积物变化。对于这个煤矿开采活动十分普遍的地区而言,特别重要的是估算这种土地干扰造成的沉积物产量变化的潜力,并计划改善侵蚀控制措施。 (C)2015 Elsevier B.V.保留所有权利。

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