Sijun Huang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sijun Huang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Mintong Hao
College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China
1 shared publication - Xin Fu
College of Landscape Architecture and Arts, Northwest A&F University, Yangling, China
1 shared publication - Yanan Li
College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China
1 shared publication - Yujiao Zhang
Institute of Surveying, Mapping and Geoinformation in Guangxi Zhuang Autonomous Region, Liuzhou 545006, China
1 shared publication - Yuyang Mao
College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, China
1 shared publication - Zhaowei Tang
College of Landscape Architecture & Arts, Northwest A&F University, Yangling, Xianyang 712100, China
1 shared publication
Latest Publications
- Open Access
Optimizing Urban Green–Gray Stormwater Infrastructure Through Resilience–Cost Trade-Off: An Application in Fengxi New City, China
Accelerating urbanization and the intensifying pace of climate change have heightened the occurrence of urban pluvial flooding, threatening urban sustainability. As the preferred approach to urban stormwater management, coupled gray and green infrastructure (GI–GREI) integrates GREI’s rapid runoff conveyance with GI’s infiltration and storage capacities, and their siting and scale can affect life-cycle cost (LCC) and urban drainage system (UDS) resilience. Focusing on Fengxi New City, China, this study develops a multi-objective optimization framework for the GI–GREI system that integrates GI suitability and pipe-network importance assessments and evaluates the Pareto set through entropy-weighted TOPSIS. Across multiple rainfall return periods, the study explores optimal trade-offs between UDS resilience and LCC. Compared with the scenario where all suitable areas are implemented with GI (maximum), the TOPSIS-optimal schemes reduce total life-cycle cost (LCC) by CNY 3.762–4.298 billion (53.36% on average), rebalance cost shares between GI (42.8–47.2%) and GREI (52.8–57.2%), and enhance UDS resilience during periods of higher rainfall return (P = 20 and 50). This study provides an integrated optimization framework and practical guidance for designing cost-effective and resilient GI–GREI systems, supporting infrastructure investment decisions and climate-adaptive urban development.
Open AccessOptimizing Urban Green–Gray Stormwater Infrastructure Through Resilience–Cost Trade-Off: An Application in Fengxi New City, China
Accelerating urbanization and the intensifying pace of climate change have heightened the occurrence of urban pluvial flooding, threatening urban sustainability. As the preferred approach to urban stormwater management, coupled gray and green infrastructure (GI–GREI) integrates GREI’s rapid runoff conveyance with GI’s infiltration and storage capacities, and their siting and scale can affect life-cycle cost (LCC) and urban drainage system (UDS) resilience. Focusing on Fengxi New City, China, this study develops a multi-objective optimization framework for the GI–GREI system that integrates GI suitability and pipe-network importance assessments and evaluates the Pareto set through entropy-weighted TOPSIS. Across multiple rainfall return periods, the study explores optimal trade-offs between UDS resilience and LCC. Compared with the scenario where all suitable areas are implemented with GI (maximum), the TOPSIS-optimal schemes reduce total life-cycle cost (LCC) by CNY 3.762–4.298 billion (53.36% on average), rebalance cost shares between GI (42.8–47.2%) and GREI (52.8–57.2%), and enhance UDS resilience during periods of higher rainfall return (P = 20 and 50). This study provides an integrated optimization framework and practical guidance for designing cost-effective and resilient GI–GREI systems, supporting infrastructure investment decisions and climate-adaptive urban development.