Khulna City is extremely vulnerable to the effects of climate change. The city experiences frequent waterlogging during extreme rainfall events. This research prepared a drainage simulation model considering climate change issues for investigating the extent of waterlogging in the city. Watershed and precipitation were analyzed to examine the existing scenario of the study area. Finally, a Mike Urban-based hydrological simulation model was formulated to investigate the severity of waterlogging. As found by precipitation analysis, 180 mm, 346 mm, and 396 mm rainfall might occur for the 5-year, 50-year, and 100-year return period, respectively. This research identified that volume of overland flow might be affected by climate change-induced rainfall. According to the simulation, 62.52% of the study area was waterlogged with different inundation depths. It was found that traffic movements were severely disrupted and structures were hampered due to waterlogging. 45% paved, 77% brick soling, and 65% unpaved roads were inundated by different inundation levels. On the other hand, 61.1% of structures of the study area were affected by waterlogging. The findings of the research might help the concerned authority in decision-making, especially for the drainage and water-related issues, to solve the waterlogging.

库尔纳市极易受到气候变化的影响。在极端降雨事件中，该城市经常出现涝灾。这项研究准备了一个考虑气候变化问题的排水模拟模型，以研究城市的涝灾程度。对流域和降水进行了分析，以检查研究区域的现有情况。最后，建立了基于Mike Urban的水文模拟模型，以研究涝灾的严重性。通过降水分析发现，在5年，50年和100年回归期可能分别出现180 mm，346 mm和396 mm降雨。这项研究确定了陆路流量可能受到气候变化引起的降雨的影响。根据模拟结果，为62。52％的研究区域被淹没，淹没深度不同。结果发现，由于涝灾，交通活动受到严重干扰，建筑物受到阻碍。不同淹没程度淹没了45％的已铺设路面，77％的砖砌底基和65％的未铺设道路。另一方面，淹水影响了研究区域61.1％的结构。研究的结果可能有助于有关当局的决策，特别是在排水和与水有关的问题上的决策，以解决内涝问题。