The people of Sundarbans are well experienced with multiple hazards affected their life and livelihood since the incitation of 1st civilization over here. Low lying delta plain and massive population pressure increases the exposure limit of this area. For saving this valuable ecosystem and millions of people living here coastal planners and decision makers require a comprehensive risk assessment of this area. Present study applied a GIS based analytic hierarchy process (AHP) for assessing risk of Indian Sundarbans at a micro regional scale (1 km²). Total 4989 grids have been generated and all calculations were made at a grid level scale. Fourteen factors representing forcing (4), vulnerability (8) and exposure (2) of this area were used for the calculation. All factors were categorized into 5 point risk classes based on their relative contribution to the risk. Risk has been represented at grid level and consequently at mouza (lowest revenue unit) level scale for representing the area and populations under certain risk categories. The results showed that around 26% (11.3 lakh) and 23% (9.9 lakh) populations of Indian Sundarbans are under high to very high risk categories. Major parts of Basanti, Gosaba, Hingalganj, Canning-I, Canning-II, Jaynagar-I, Jaynagar-II, Sandeshkhali-I, Sandeshkhali-II are belongs to the high-very high risk classes. Higher effective sea level rise, lower tidal range, high population densities are associated with higher risk of these areas. The risk map provides essential information for identifying relative risk of an area which can be used for future management and planning.

自从这里第一个文明的煽动以来，苏达班人的经验丰富，受到多种危害，危及他们的生活和生计。低洼的三角洲平原和巨大的人口压力增加了该地区的暴露极限。为了挽救这个宝贵的生态系统，沿海规划者和决策者需要数以百万计的居民，需要对该地区进行全面的风险评估。本研究应用基于GIS的层次分析法（AHP）评估了微型区域规模（1 km ²）。总共生成了4989个网格，并且所有计算都是在网格级别范围内进行的。计算使用了代表该区域的强迫（4），脆弱性（8）和暴露（2）的十四个因素。根据所有因素对风险的相对贡献，将其分为5点风险类别。风险以网格级别表示，因此以mouza（最低收入单位）级别表示，以表示某些风险类别下的面积和人口。结果表明，印度苏达尔班地区约有26％（111.3亿）和23％（99万）的人口属于高风险或极高风险类别。Basanti，Gosaba，Hingalganj，Canning-I，Canning-II，Jaynagar-I，Jaynagar-II，Sandeshkhali-I，Sandeshkhali-II的大部分地区属于高风险类别。有效海平面上升幅度更高，潮差越低，人口密度越高，这些地区的风险就越高。风险图提供了用于识别某个区域的相对风险的基本信息，可用于将来的管理和规划。