five

Watershed conservation prioritization using morphometric parameters applied with principal component analysis approach | JBES 2021

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://data.mendeley.com/datasets/4jvmb3w8zy
下载链接
链接失效反馈
官方服务:
资源简介:
The present study analyzed and quantified the different morphometric aspects of the Upper Pulangi Watershed in Bukidnon, the Philippines using a 10-m spatial resolution digital elevation model. The study was carried out using geospatial techniques to quantify morphometric parameters relative to the tendency of the watershed to erosion threat to provide a basis and guidelines in prioritizing watersheds that need an immediate rehabilitation and conservation. The morphometric analysis applied with Principal Component Analysis was used in prioritizing watersheds. Principal Component Analysis is a dimension-reduction tool that can be used to reduce a large set of variables to a small set that still contains most of the information in the large set. It also decreases the dimensionality of the data set and identifies a new meaningful underlying variable. Results showed that the Nabalintungan sub-watershed with a compound ranking value (Cp = 4.17) was classified under very high priority followed by the Maapag sub-watershed with (Cp = 4.25) thus, implying more attention for conservation measures. The upper puling sub-watershed with (Cp = 6.75) was classified under very low priority followed by the Sawaga sub-watershed with (Cp = 6.00), signifying promising environmental conditions among the nine sub-watershed areas. The study provides significant information that is helpful to watershed managers and planners in coming up with an informed decisions and actions in relation to planning for watershed management, for soil and water conservation programs, and project implementation under limited resources.
创建时间:
2021-12-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作