Coastal zones are highly dynamic ecosystems influenced by natural processes and human interventions. Climate change and rising sea levels pose a growing threat to coastal regions, leading to potential consequences like shoreline erosion and the submergence of coastal areas. Due to the ever-changing nature of the coastal areas and also to minimize negative effects on both human and natural systems, continuous monitoring and management are essential. The study identifies areas of vulnerability that need prompt intervention along the North Goa coast of India. Several multi-temporal satellite data and geo-statistical techniques were assessed to understand historical shoreline changes between 1992 and 2022. The Digital Shoreline Analysis System (DSAS) model was integrated to calculate the End Point Rate (EPR) and Linear Regression Rate (LRR) to estimate shoreline change rates and forecast future shoreline positions in 2030 and 2050. It is found that the coast has been eroding 3 m/yr. The LRR model predicted an average shoreline positional change of 7.10 m from 2022 to 2030, with an anticipated rise to 24.84 m by 2050. Between 2022 and 2050, Querim, Mandrem, Anjuna, and Candolim will experience heightened erosion with a − 91 m movement towards the land, while from 2022 to 2030, the coastline will shift by − 26.13 m. This study will provide essential baseline information for coastal management strategies, adaptation planning, and policy frameworks. Furthermore, the results highlight the importance of implementing sustainable coastal management strategies in response to the challenges caused by climate change and human actions along the Northern coast of Goa.

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Assessment and Prediction of Shoreline Change Using Geospatial Techniques: A Case Study of North Goa Coast of India

  • Siddhi Madhusudan Gaonkar,
  • F. M. Nadaf,
  • Vikas Balajirao Kapale

摘要

Coastal zones are highly dynamic ecosystems influenced by natural processes and human interventions. Climate change and rising sea levels pose a growing threat to coastal regions, leading to potential consequences like shoreline erosion and the submergence of coastal areas. Due to the ever-changing nature of the coastal areas and also to minimize negative effects on both human and natural systems, continuous monitoring and management are essential. The study identifies areas of vulnerability that need prompt intervention along the North Goa coast of India. Several multi-temporal satellite data and geo-statistical techniques were assessed to understand historical shoreline changes between 1992 and 2022. The Digital Shoreline Analysis System (DSAS) model was integrated to calculate the End Point Rate (EPR) and Linear Regression Rate (LRR) to estimate shoreline change rates and forecast future shoreline positions in 2030 and 2050. It is found that the coast has been eroding 3 m/yr. The LRR model predicted an average shoreline positional change of 7.10 m from 2022 to 2030, with an anticipated rise to 24.84 m by 2050. Between 2022 and 2050, Querim, Mandrem, Anjuna, and Candolim will experience heightened erosion with a − 91 m movement towards the land, while from 2022 to 2030, the coastline will shift by − 26.13 m. This study will provide essential baseline information for coastal management strategies, adaptation planning, and policy frameworks. Furthermore, the results highlight the importance of implementing sustainable coastal management strategies in response to the challenges caused by climate change and human actions along the Northern coast of Goa.