Semantic Scholar Open Access 2025

Analyse and Design of Urban Sewer Network Using SewerGEMS Software

Pradeep Dachiri

Abstrak

The study titled “Analyse and Design of Urban Sewer Network Using SewerGEMS Software” focuses on the need for efficient and sustainable sewerage systems in rapidly developing metropolitan areas like Hyderabad. Due to increasing population and urbanization, the existing sewer networks often face challenges such as overflows, blockages, and inadequate capacity. This research aims to analyze and redesign the sewer network of Gayatri Nagar under the Greater Hyderabad Municipal Corporation (GHMC) using advanced hydraulic modelling through SewerGEMS software. The methodology involves systematic data collection, including layout and topographical mapping through Google Earth Pro and QGIS, and estimation of sewage generation based on population and water consumption data. The collected data are integrated into SewerGEMS to simulate the existing network and assess hydraulic parameters such as flow velocity, hydraulic grade line (HGL), and manhole surcharge levels. Based on the analysis, deficiencies such as undersized pipes and low slopes were identified. A redesigned network was then proposed by optimizing pipe diameters, slopes, and alignments to achieve self-cleansing velocity and efficient wastewater conveyance. The results obtained from SewerGEMS were compared with conventional manual design methods using standard hydraulic equations. The comparison revealed that software-based modelling provides greater accuracy, faster analysis, and enhanced visualization of flow characteristics. Additionally, a Sewage Treatment Plant (STP) was designed to ensure proper wastewater treatment and disposal. Overall, the study concludes that SewerGEMS is a powerful tool for urban sewer system design, promoting sustainability, efficiency, and improved urban sanitation.

Penulis (1)

P

Pradeep Dachiri

Format Sitasi

Dachiri, P. (2025). Analyse and Design of Urban Sewer Network Using SewerGEMS Software. https://doi.org/10.22214/ijraset.2025.74773

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.22214/ijraset.2025.74773
Akses
Open Access ✓