Developing a resilience assessment framework for the Urban Land-Water System
Developing a resilience assessment framework for the Urban Land-Water System
复制标题
制定城市土地水系统的复原力评估框架
DOI：
10.1002/ldr.3297
复制
发表时间：
2019
影响因子：
4.7
通讯作者：
Nyerges Timothy
中科院分区：
文献类型：
--
作者：
Li Yangfan;Lin Jingyu;Li Yi;Nyerges Timothy
中国的沿海地区经历了快速的土地开发，同时不透水面积经常增加，导致环境严重退化，特别是水量和水质。这种城市环境中的土地-水相互作用称为城市土地-水系统，涉及关键的生态系统功能损失和不良的弹性变化。为了识别城市土地-水系统的时空弹性变化，我们基于临界功能的概念和胡克定律，提出了一种创新的定量弹性评估方法。复原力评估方法通过将不透水表面积的子系统与水量和水质的子系统相结合，将复杂系统的关键功能联系起来。将该方法应用于连云港研究区，比较了方案a(1/4的不透水面积、1/2的水量和1/4的水质)和方案b(每个子系统1/3)三个子系统的不同贡献。总体而言，从2005年到2010年，城市土地-水系统的复原力退化到相对较低的状态，低值复原力的面积显著增加(从62.88亿平方公里增加到281.50平方公里)。不透水表面积和水量是影响弹性变化的主要因素。特别是，连云港市内部弹性的丧失主要是由于蒸发蒸腾量的损失和城乡建设用地的增加。本文开发的复原力评估方法识别对嵌套和重叠复原力变化有显著影响的区域，从而提供了一种识别热点以管理不同时空子系统之间的平衡的实用方法。
Coastal areas of China have experienced rapid land development accompanied by an increase of impervious surface area often, leading to considerable environmental degradation, particularly for water quantity and quality. This land–water interaction within an urban milieu, called an Urban Land–Water System, involves critical ecosystem function loss and undesirable resilience change. With the purpose of identifying changes in spatial–temporal resilience of an Urban Land–Water System, we formulated an innovative quantitative method for resilience assessment based on the concept of critical functionality and Hooke's Law. The resilience assessment method contextualizes critical functionality of complex systems by integrating subsystems of impervious surface area with subsystems of water quantity and water quality. The method was applied in a study area named Lianyungang, whereby we compared different contributions of three subsystems within two scenarios, Scenario a (one‐fourth of impervious surface area, one‐half of water quantity, and one‐fourth of water quality) and Scenario b (one‐third for each subsystem). Overall, resilience degrades for the Urban Land–Water System from 2005 to 2010 to a relatively lower state with significantly increasing areas (from 62.88 to 281.50 km2) of low‐value resilience. Impervious surface area and water quantity were the main contributors to resilience change. In particular, the loss of resilience within Lianyungang was mostly due to the loss of evapotranspiration and increased built‐up land in both urban and rural areas. The resilience assessment method developed herein identifies areas of significant influences on nested and overlapping resilience change, thereby offering a practical approach for identifying hotspots for managing balances between different spatial–temporal subsystems.