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Displacement and seismic activities are critical elements in understanding the geodynamic behaviour of regions. Particularly in Banten, a region with significant irrigation infrastructure, these factors have implications for land use and infrastructure stability. From 2017–2020, Banten experienced varying displacement dynamics and seismic events, and DInSAR processing proved instrumental in achieving high-precision vertical displacement measurements. The challenge was to discern the pattern of these displacements in relation to significant earthquakes and the implications for specific high-density irrigation zones. Our study reveals a notable differentiation in displacement dynamics across different periods, especially in regions proximal to earthquake epicentres. For instance, the 2019 earthquake of magnitude 5 MW corresponded with uplift activities in certain irrigation areas, contrary to the subsidence observed in the preceding period. These findings emphasise the intricate relationship between seismic activities, vertical displacements, and their potential impact on key infrastructural elements in Banten. Moreover, understanding this interplay is not only crucial for regional planning but also offers insights into how such dynamics can influence areas with similar geophysical properties globally. Broadly, our results underscore the importance of consistent monitoring and analytical methodologies, like DInSAR, in regions susceptible to seismic shifts. Such knowledge can inform infrastructure development, resource allocation, and disaster preparedness strategies, ensuring the safety and sustainability of both natural and man-made environments. [ABSTRACT FROM AUTHOR]

COVID-19 has had an impact on the entire humankind and has been proved to spread in deadly waves. As a result, preparedness and planning are required to better deal with the epidemic's upcoming waves. Effective planning, on the other hand, necessitates detailed vulnerability assessments at all levels, from the national to the state or regional. There are several issues at the regional level, and each region has its own features. As a result, each region needs its own COVID-19 vulnerability assessment. In terms of climate, terrain and demographics, the state of Uttarakhand differs significantly from the rest of India. As a result, a vulnerability assessment of the next COVID-19 variation (Omicron BA.2) is required for district-level planning to meet regional concerns. A total of 17 variables were chosen for this study, including demographic, socio-economic, infrastructure, epidemiological and tourism-related factors. AHP was used to compute their weights. After applying min–max normalisation to the data, a district-level quantitative SWOT is created to compare the performance of 13 Uttarakhand districts. A COVID-19 vulnerability index (normalised Ri) ranging between 0 and 1 was produced, and district-level vulnerabilities were mapped. Quantitative SWOT results depict that Dehradun is a best performing district followed by Haridwar, while Bageshwar, Rudra Prayag, Champawat and Pithoragarh are on the weaker side and the normalised Ri proves Dehradun, Nainital, Champawat, Bageshwar and Chamoli to be least vulnerable to COVID-19 (normalised Ri ≤ 0.25) and Pithoragarh to be the most vulnerable district (normalised Ri > 0.90). Pauri Garwal and Uttarkashi are moderately vulnerable (normalised Ri 0.50 to 0.75). [ABSTRACT FROM AUTHOR]