The current study has been derived to understand morphometric parameters to pledge the reduction in the proclaimed drought influence for climate change. Watershed prioritization has been studied using the geographical information system and remote sensing techniques for soil erosion and water preservation measure at Plio–Pleistocene elevated tract in Bangladesh. Secondary data, i.e., SRTM DEM and the topographical sheets, have been used for the drainage network identification. Seventeen watersheds of fifth order and three watersheds of sixth order are selected for the whole study. Sixteen basic morphometric parameters that are categorized as areal, linear and relief aspects have been used for the study area. The study area comprises sixth stream order that has been obtained using a stream threshold value of 100-m length. Morphometric analysis is suitable for water and soil conservation practice where groundwater and relevant data sets are not available. For the categorization and correlation of the morphometric parameters, principal component analysis (PCA) has been used in the present study. PCA analysis is more suitable, well-known and widely used method for its simplicity to choose more influencing parameters (correlated parameters) that are responsible for watershed prioritization. Strongly correlated components (D_d, R_c, R_e and R_b) are used for the compound parameter (C_p) and final priority (R_p) calculation. Low C_p value is suitable for water and soil conservation measure. Therefore, the corresponding low C_p has been taken as one for final priority ranking (R_p) purpose, then second lowest value as two, and so on.

中文翻译：

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使用GIS和遥感技术对水土保持方面的分水岭优先排序：孟加拉国北部高地基于PCA的方法

本研究旨在了解形态计量参数，以保证减少干旱对气候变化的影响。利用地理信息系统和遥感技术对孟加拉国上新世更新世高架水土流失和保水措施进行了分水岭优先研究。二级数据，即SRTM DEM和地形图，已用于排水网络识别。整个研究选择了五阶的十七个分水岭和六阶的三个分水岭。研究区域已使用了16种基本形态参数，分别分为面积，线性和凸纹方面。研究区域包括第六个流阶，该第六个流阶已使用长度为100-m的流阈值获得。形态计量分析适用于没有地下水和相关数据集的水土保持实践。对于形态参数的分类和相关性，本研究已使用主成分分析（PCA）。PCA分析是一种更合适的，广为人知的方法，因为它易于选择影响分水岭优先级的更具影响力的参数（相关参数）。高度相关的组件（众所周知且被广泛使用的方法，因为它简单易行，可以选择更多的影响参数（相关参数）来进行分水岭优先排序。高度相关的组件（一种众所周知的且被广泛使用的方法，因为它可以简单地选择更多的影响参数（相关参数），这些参数负责分水岭的优先级划分。高度相关的组件（D _d，R _c，R _e和R _b）用于复合参数（C _p）和最终优先级（R _p）计算。C _p值低，适合水土保持措施。因此，出于最终优先级排序（R _p）的目的，已将相应的低C _p设为1 ，然后将第二最低值设为2，依此类推。