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Review Open access Sep 2026

Construction of Sewer Rehabilitation and Its Consequences: A Case Study of Lalitpur Metropolitan City, Nepal

Urban sewerage infrastructure plays a vital role in maintaining public health, environmental sustainability, and the overall quality of urban life. Lalitpur Metropolitan City (LMC), one of the major urban centres in Nepal and home to the UNESCO World Heritage Site of Patan Durbar Square, has been experiencing severe drainage and sewerage-related problems, particularly during the monsoon season. Frequent clogging of stormwater drains, overflow of existing sewer networks, waterlogging, and flooding in areas such as Mahapal and Patan Durbar Square have adversely affected public health, transportation, tourism, and environmental conditions. This study investigates the construction of sewer rehabilitation works and their consequences in Lalitpur Metropolitan City. A mixed-method approach was adopted, involving field observations, questionnaire surveys, in-depth interviews with engineers, contractors, consultants, and local stakeholders, focus group discussions, and review of project reports. Data were collected from 205 respondents and analyzed using descriptive statistics and the Relative Importance Index (RII). The study focuses on rehabilitation works along the core sewer network extending from Lagankhel to Sankhamul, including the heritage-sensitive zones of Patan Durbar Square. The findings indicate that inadequate existing sewer infrastructure capacity was ranked as the most severe problem (RII = 0.89), followed closely by lack of proper planning and design integration, weak institutional coordination, and funding and budget constraints (RII = 0.88 each). Insufficient drain capacity, aging sewer infrastructure, improper road gradients, solid waste disposal into drains, inadequate maintenance, and rapid urbanization were identified as the primary causes of sewer blockage and flooding, while consequences include traffic disruption, damage to infrastructure, environmental pollution, public health risks, and negative impacts on tourism and local economic activities. The study identifies preparation of a comprehensive sewer master plan as the highest-ranked mitigation measure (RII = 0.90), followed by strengthening institutional coordination and securing adequate and sustainable funding mechanisms. The findings underscore the need for combined sewer and stormwater planning, regular maintenance, public awareness, and heritage-sensitive construction practices to reduce flooding and improve urban sanitation in Lalitpur Metropolitan City.

Gopal Thapa, K. Dahal, P. Gyawali et al. · 0 citations
Review Open access Sep 2026

Assessment of Vulnerable Building and Requirement for Them to Prevent From Disaster: A Case Study from Kathmandu Metropolitan City, Nepal

The study aims to assess the vulnerability of buildings in Kathmandu Metropolitan City which is susceptible to natural disasters, particularly earthquakes, floods, landslides and and identify the requirements necessary to prevent disaster-related damage. This study evaluates the current state of building vulnerability, focusing on the structural integrity of residential, commercial, and public buildings, and the effectiveness of existing regulations in mitigating disaster risks. The research utilizes a combination of field surveys, structural assessments, and interviews with local authorities, engineers, and residents to identify critical areas where vulnerability is most pronounced.This study underscores the urgent need for a holistic approach to disaster risk management, involving both government agencies and local communities, to safeguard Kathmandu Metropolitan City from future disasters.

Sulav Lal Maskey, K. Dahal, S. Dhakal · 0 citations
Open access Sep 2026

Holistic Landslide Risk Assessment Using Gis-Based Susceptibility Modeling and Socio-Economic Impact Ranking: A Case Study of Roshi Rural Municipality, Nepal

Landslides pose a significant hazard in the Himalayan region of Nepal due to steep terrain, fragile geology, intense monsoon rainfall, and expanding rural infrastructure. This study evaluates landslide susceptibility in Roshi Rural Municipality, Kavrepalanchowk District, using two GIS-based approaches: the Frequency Ratio (FR) model and the Weighted Overlay Method (WOM) based on the Analytical Hierarchy Process (AHP). Key conditioning factors, including slope, elevation, geology, land use/land cover, rainfall, and proximity to roads and rivers, were analyzed. A landslide inventory from the 2024 extreme rainfall event was used for model training and validation through the Receiver Operating Characteristic (ROC) curve and Area under the Curve (AUC). Results show that the Frequency Ratio (FR) model achieved an AUC value of 0.671, indicating moderate predictive capability. In comparison, the Weighted Overlay Method (WOM) produced an AUC value of 0.572, indicating relatively lower prediction performance. These results suggest that the FR model provides a more reliable representation of landslide susceptibility in the study area.

Binod Bahadur Pal, K. Dahal, Sagar Sedhain · 0 citations

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