首页> 外文期刊>Modeling Earth Systems and Environment >Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the landcover classes of the Southern Caucasus using GIS and remote sensing
【24h】

Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the landcover classes of the Southern Caucasus using GIS and remote sensing

机译:使用GIS和遥感,对气候变化的定量评估对预测侵蚀风险及其在南部高加索地区的土地层内的空间分布

获取原文
获取原文并翻译 | 示例
       

摘要

The objectives of this research are the following: quantitative assessment of erosion-prone areas, assessment of the impacts of climate change on future erosion risks and quantification of erosion risks in relation to landcover classes. The practicalvalue of this study is that it promotes a collaborative planning and decision-making tool for the mitigation of erosion risks and consequences which are inevitable for the Southern Caucasus. The selected study area in the Southern Caucasus is the Ismayilly District. The scientific novelty lies in the fact that it considers the aspects of climate change in the prediction of erosion risks. The Universal Soil Loss Equation was used for the prediction of soil loss rates. Out of 2559 km2, 292 km2 were predicted as critical erosion classes with soil loss rates of more than 10 tons/ha/year. Precipitation impacts calculated by means of theHadGEM2-AOclimate change model to erosion processes also showed an increase in soil loss rates. The quantification of predicted erosion related to landcover revealed a significant variation of critical erosion classes within bare lands (5-10 ton/ha/year to 6.21 km2, 10-20 ton/ha/year to 11.90 km2, 20-50 ton/ha/year to 28.24 km2, 50-100 ton/ha/year to 15.44 km2, 100-200 ton/ha/year to 0.75 km2). The quantification of erosion rates related to landcover classes showed their highest spatial distribution variability within barelands (62.55 km2 out of total 71 km2) and grasslands (339.44 km2 out of total 895 km2). Significant areas of stressed vegetation with low NDVI values (0.1-0.2) were observed to be 259.51 km2 within croplands affected by intensive agricultural activities which reduced soil productivity over years.
机译:本研究的目标是以下:对易受侵蚀地区的定量评估,评估气候变化对未来侵蚀风险的影响以及与土地课程相关的侵蚀风险的量化。本研究的实际价值是,它促进了对南方高加索不可避免的侵蚀风险和后果的协作规划和决策工具。南部高加索的所选研究区是伊斯梅利区。科学新颖性在于它认为,它认为在侵蚀风险预测中的气候变化方面。通用土壤损失方程用于预测土壤损失率。在2559公里,2559公里,292平方公里预测为关键侵蚀课程,土壤损失率超过10吨以上/公顷/年。通过避孕过程的耐血液2-Acclimate变化模型计算的降水影响也表现出土壤损失率的增加。与Landcover相关的预测侵蚀的量化揭示了裸机内关键侵蚀课程的显着变化(5-10吨/公顷/年至6.21平方公里,10-20吨/公顷/年至11.90 km2,20-50吨/公顷/年至28.24公里,50-100吨/公顷/年至15.44 km2,100-200吨/公顷/年至0.75 km2)。与Landcover Classes相关的侵蚀率的量化在巴兰(62.55英里)和71平方公里的62.55平方公里)和草原上的最高空间分布变异(339.44 km2)。观察到低NDVI值(0.1-0.2)的强调植被的重要领域是受密集农业活动影响的农作物,减少土壤生产率多年来的土壤生产率。

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