...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Stochastic environmental research and risk assessment >Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills
【24h】

Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills

机译：Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

Channel dynamics is an inherent characteristic of river in the floodplain region. It has some significant impacts on the ecosystem and human life. GIS-based, DSAS and CA-Markov models are efficient techniques to measure historical and predictive changes following channel shifting and LULC change. In this study, forty-eight years (1972-2020) of earth observatory data were taken to demarcate and detect the channel bank position and LULC change along the Kaljani River, located at the eastern Himalayan foothill. During 1998-2008, a very high rate of erosion has been taken place on both the bankline, which are about -4.48 m/y (left bank) and -3.48 m/y (right bank), respectively. The overall result of the predicted bankline represents that the bulky expansion will occur along the left bank, and sediment accretion will take place at the right bank. Among the three zones, both banks of zone 'A' (lower part of the river) are worst affected in the past and present and will follow the same trends in future. The LULC change of all six classes from 1972 to 1998 is very high compared with the changes between 1998 and 2020. Moreover, long profile, hypsometric curve value, and the Soil Conservation Service Curve Number (SCS-CN) value have a significant help in understanding and identifying consequences reasons. The accuracy level is validated by the actual bankline positions (2020) with predicted bankline (2020) and actual LULC (2020) to predicted LULC (2020) empirically with RMSE and statistical test. The accuracy level of this study is conducted with the Kappa statistics for LULC map of 2020, and the result is 87.57%, and bankline shifting RMSE varies from 0.007 to 0.176. Therefore, the prediction output serves as the spatial guidelines for monitoring future trends of channel shift and land use planning management.

著录项

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