Thirumurthy S, Jayanthi M, Samynathan M, Duraisamy M, Kabiraj S, Anbazhahan N
ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, Chennai, 600028, India.
ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, Chennai, 600028, India.
J Environ Manage. 2022 Jul 1;313:114941. doi: 10.1016/j.jenvman.2022.114941. Epub 2022 Apr 1.
Changes in environmental conditions influence vulnerability due to interacting stresses and pressures across the nations and regions. Coastal resources are under severe stress due to climate change, growing trade and commerce, and the human population depends on them. The coastal vulnerability to changing climatic variables has created a major concern at regional, national and global scales. The present model study assessed the coastal vulnerability of the densely populated districts in South India, which are prone to extreme climatic events at a higher frequency. The seven crucial influencing variables that have been selected for the study were sea-level rise, coastal elevation, coastal slope, extreme rainy days, historical shoreline change, tidal range, and geomorphology. The identified variables were ranked by relative importance and linked by weightage using analytical hierarchy process-based uncertainty analysis. Mapped and reclassified variables have been integrated to derive the overall vulnerability using geospatial techniques. The study shows that the coast has experienced high vulnerability to SLR impact, extreme rainfall, geomorphology, and elevation; medium vulnerability to the shoreline change and least vulnerable to coastal slope and tidal range. Of the coastal regions studied, 29% and 14.3% had high vulnerability; 70.5% and 85.7% had medium vulnerability in the two selected densely populated districts (Kancheepuram and Tiruvallur District). Applying geospatial techniques to assess the environmental vulnerability resulted in reliable and informative maps which will serve as a model to determine the critical coastal regions to plan for the conservation and adaptation measures.
环境条件的变化会因各国和各地区相互作用的压力和胁迫而影响脆弱性。由于气候变化、贸易和商业的不断发展，沿海资源承受着巨大压力，而人类人口又依赖这些资源。沿海地区对不断变化的气候变量的脆弱性已在区域、国家和全球范围内引起了重大关注。本模型研究评估了印度南部人口密集地区的沿海脆弱性，这些地区更容易频繁发生极端气候事件。本研究选取的七个关键影响变量为海平面上升、海岸海拔、海岸坡度、极端降雨天数、历史海岸线变化、潮差和地貌。利用基于层次分析法的不确定性分析，对识别出的变量按相对重要性进行排序，并通过权重进行关联。已对经过映射和重新分类的变量进行整合，以利用地理空间技术得出总体脆弱性。研究表明，海岸对海平面上升影响、极端降雨、地貌和海拔高度的脆弱性较高；对海岸线变化的脆弱性中等，对海岸坡度和潮差的脆弱性最低。在所研究的沿海地区中，在两个选定的人口密集地区（金奈市和蒂鲁瓦勒尔区），分别有29%和14.3%的地区具有高脆弱性；70.5%和85.7%的地区具有中等脆弱性。应用地理空间技术评估环境脆弱性得出了可靠且信息丰富的地图，这些地图将作为确定关键沿海地区以规划保护和适应措施的模型。
