Application of landslide susceptibility towards urbanization suitability zonation in mountainous settings

Application of landslide susceptibility towards urbanization suitability zonation in mountainous settings
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DOI:
10.1016/j.ijdrr.2023.104061
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发表时间:
2023-10
影响因子:
5
通讯作者:
Bipin Peethambaran;Ben Leshchinsky
Bipin Peethambaran;Ben Leshchinsky
中科院分区:
地球科学2区
文献类型:
--
作者:
Bipin Peethambaran;Ben Leshchinsky

文献摘要

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对山体滑坡的易感性增加对可持续和公平的城市发展构成了挑战。因此,在这项研究中,我们引入了一种基于人工智能和地理信息系统的方法-城市化适宜性分区(USZ),用于城市化土地适宜性的空间评价,该方法考虑了多种因素,包括对滑坡易感性的关注。此外,拟议的USZ是为评估当前城市化模式的健康而量身定做的,通过建立最佳城市化适宜性(BUS)和加权城市化适宜性(WUS)来描述其背后的驱动因素。BUS描绘了一个假设的理想土地适宜性情景,作为同等权重因素的函数,而WUS描述了当因素被分级加权时土地适宜性的变化。对照公交车对目前的发展进行审查,可以提供对当前城市化模式的理想化。WUS帮助评估影响当前城市化模式的因素的重要性,并检查其与公交车的相似性。选择印度山区的穆索里镇作为研究区域,考虑7个不同权重的因素进行USZ评估,生成了一张公交地图和7张WUS地图(WUS-I至VII),它们都显示了城市化适宜性在5个不同类别中的分布。公交地图显示,∼目前98%的开发落入适宜度较高的地区,显示出其可取性。在不同的WUS地图中,WUS-II与公交车和目前的建成区吻合最好,坡度和交通连通性是关键因素,根据它,高适宜区一般是中部和南向的斜坡,而北向的斜坡总体上是不合适的。
Amplified susceptibility to landslides poses challenges to sustainable and equitable urban development. Thus, in this study, we introduce an artificial intelligence and geographic information system-based approach, urbanization suitability zonation (USZ), for spatial assessment of land suitability for urbanization, which accounts multiple factors, including a focus on landslide susceptibility. Further, the proposed USZ is tailored to assess health of current urbanization patterns, depicting the driving factors behind it by establishing a best-case urbanization suitability (BUS) and weighted urbanization suitability (WUS). The BUS portrays a hypothetically ideal land suitability scenario as a function of equally weighted factors, while the WUS portrays land suitability changes when factors are weighted hierarchically. An examination of current development against the BUS provides idealness of current urbanization patterns. The WUS aids in assessing the significance of factors in influencing the current urbanization pattern, and checks its resemblance with the BUS. The mountainous Indian township of Mussoorie is selected as the study area to exercise the USZ by considering seven factors with different weights, and subsequently generated a BUS map and 7 WUS maps (WUS–I to VII), which all display urbanization suitability distribution in five different classes. The BUS map shows that ∼98 % of current development falls in higher-suitability areas, indicating its preferability. Among the different WUS maps, the WUS-II aligns best with the BUS and current built-up, with slope gradient and transportation connectivity as key factors, and according to it, high-suitability areas are generally the central and south-facing slopes, while north-facing slopes are unsuitable, in general.