巴基斯坦基尔萨尔褶皱带穆拉河盆地的构造分析(使用湿度指数

Ammar Hussain, Amna Afzal, Shuhab D. Khan
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摘要

穆拉河流域位于西喜马拉雅山基尔萨褶皱断层带的活跃构造区。研究区附近有许多主要断层,如查曼断层、基尔萨褶皱断层和班赫断层,这表明该地区的构造过程十分复杂。研究区的地震记录也表明,该地区构造活跃。这使得研究区成为通过地貌指数(如水文测量积分(HI))测量构造活动的理想地点。为了对穆拉河流域进行构造分析,我们将研究区域划分为 309 个子流域。根据子流域的 HI 计算结果,我们将研究区域划分为三个等级,即 1 级(0.51-0.78)、2 级(0.37-0.50)和 3 级(<0.37),其中 1 级代表最高构造活动,2 级代表中等构造活动,3 级代表最低构造活动。我们通过计算湿度曲线来了解穆拉河流域的地貌周期。我们根据构造活动对位于基尔萨褶皱和断裂带这一高度活跃构造带内的穆拉河流域子盆地进行了量化,发现研究区域的大部分呈现出低构造活动(44.33%),中等构造活动和高构造活动子盆地分别占 37.86% 和 17.79%。研究区内存在的高凸起地区和已知断层为这些发现提供了佐证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TECTONIC ANALYSIS OF THE MULA RIVER BASIN, KIRTHAR FOLD BELT, PAKISTAN, USING HYPSOMETRIC INDEX
The Mula River basin is in an active tectonic region of the Kirthar fold fault belt in Western Himalayas. The presence of numerous major faults like Chaman Fault, Kirthar Frontal Fault and Bannh Fault near the study suggest complex tectonic processes in the region. The seismic record of the study area also indicates that this area is tectonically active. This makes the study area an ideal site to measure tectonic activity through geomorphic indices like hypsometric integrals (HI). For tectonic analysis of the Mula River basin, we divided the study area into 309 sub-basins. The results obtained from the HI calculations for the sub-basins led us to the classification of the study area into three classes i.e., Class 1 (0.51-0.78), Class 2 (0.37 – 0.50) and Class 3 (<0.37), where Class 1 is for the highest tectonic activity and Class 2 responds to the moderate and class 3 is for the lowest tectonic activity. We calculated the hypsometric curves to understand the geomorphological cycle of the Mula River basin. We quantified the sub-basins of the Mula River basin, inside the highly active tectonic zone of Kirthar fold and fault zone, as per their tectonic activity and found that a major portion of the study area shows low tectonic activity (44.33%), medium tectonically active and high tectonically active sub-basins are 37.86 % and 17.79 % respectively. These findings are supported by the presence of high-relief areas and known faults in the study area.
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