## 1 Introduction  
Significant insights into recent seismic activity and tectonic evolution can be gained by examining drainage systems and sub-basins along major tectonic features [1]. Various studies were attempted by several researchers to investigate the evolution of drainage networks along faults, uplifting rocks, and active zones [2; 3; 4; 5; 6]. In some of these studies, mountain fronts were analyzed because of the interaction between erosional and tectonic processes [7], plateaus were created from mantle-driven uplift such as the Colorado Plateau in the US [8], and graben structures were mostly formed by active gravitational faults [9]. Understanding certain features of tectonic geomorphology allows for the observation and modeling of seismic signals, which are frequently encountered in active regions [10]. Recently, an integration of remote sensing including geospatial analysis and tectonic geomorphology applications has been widely used to investigate environmental risks such as seismic and flash flooding hazards [11]. Several geomorphological signatures such as incision and uplift rates for basins and active signals along active faults can be inferred through deep studies of geomorphological indexes and digital elevation models [12]. Geographical indexes are applied, including the valley floor width-to-valley floor height index (Vf), mountain front sinuosity index (Smf), stream length gradient index (SL), basin asymmetry (Af), drainage basin shape (Bs), and hyposometric integral and curves (Hi and Hc) [13; 14; 15]. Generally, studies on geomorphological signals, active mountain fronts, and drainage system development along major tectonic features are scarce [16]. Through an in-depth examination of fault segments and drainage analysis, seismic signatures can be observed and recorded [1; 12]. Usually, regional seismic signals typically exhibit high frequencies associated with comparatively large earthquakes [3]. On a regional scale, it might be challenging to detect the rates of active tectonics or even know where to go in a particular region for quantitative investigations. In this study, we used the geomorphological indices of active tectonics research, which are known to be significant for comprehending changes in the tectonic signals of the study basin [6; 17; 18; 19]. This quantitative model has been widely tested as a useful technique in several active tectonic regions, such as eastern Turkey [1], the southwestern US [20], northwestern Pakistan [19], and the eastern desert of Egypt [7]. Generally, the relationship between mountain front sinuosity (Smf) and valley floor width-to-valley floor height (Vf) indices provides three tectonic activity levels, assigning different uplift rates for every individual mountain front [3]. Generally, most geomorphic application papers have focused on specific geomorphic indices at specific locations, such as the mountain front and drainage basins [7]. Except for the stream length gradient index (SL) index, most of the indices are not spatially analyzed over the region [3; 7].  
The study basin is located between 26\({}^{\circ}\) and 27\({}^{\circ}\)30\({}^{\prime}\) N and 36\({}^{\circ}\) and 38\({}^{\circ}\) E along the eastern Red Sea coast in Saudi Arabia, covering about 104,586.74 km\({}^{2}\) (Figure 1). It is delineated and shaped through several processes in ArcGIS 10.4 software employing hydrological tools. It extends between Al Faraah City in the north and Heelan City in the south. It covers several more cities including Alyutamah, Madinah, Al Ihenakiyah, Khaybar, Al ais, Al mangor, Mogayra, and Al Ula (Figure 1). To give a unique indicator that can be used to designate the various tectonic activity classes of the research basin, the primary goal of this paper is to investigate and compute a number of effective geomorphological indicators of tectonic activity remarks and topographic characteristics.  
Figure 1: (**a**) Google map of the Red Sea region showing the main surroundings. (**b**) The box with white dashed lines shows the location of the study basin.