References
- Kongjian Y U, Dihua L I, Yuan H, et al. “SPONGE CITY”: THEORY AND PRACTICE[J]. City Planning Review, 2015.
- Liu Changming, Zhang Yongyong, Wang Zhonggen, et al. The LID model of urbanization for maintaining good water cycle: preliminary study on planning methods and technologies of Sponge City [J]. Journal of natural resources, 2016, 31 (5): 719-731.
- Muntohar A S, Liao H J. Rainfall infiltration: infinite slope model for landslides triggering by rainstorm.[J]. Natural Hazards, 2010, 54(3):967–984. doi: 10.1007/s11069-010-9518-5
- Chen Hua. Analysis of several problems about promoting Sponge City construction [J]. Water purification technology, 2016, 35 (1):102–106.
- Jiang Y, Zevenbergen C, Fu D. Understanding the challenges for the governance of China’s “sponge cities” initiative to sustainably manage urban stormwater and flooding[J]. Natural Hazards, 2017(5):1–9.
- Zhang Jianyun, Wang Yintang, Hu Qingfang, et al. Discussion on issues related to Sponge City construction [J]. Progress of water science, 2016, 27 (06):793–799.
- Li Yunjie, Zhang Chi, cold Xiangyang, etc. The wisdom of the city of sponge and Prospect of [J]. water diversion and Water Science & technology, 2016 (1): 161–164.
- Xu Wei, Liu Lina, Zhang Qingshan. Multi-objective decision-making method of green product in manufacturing based on entropy-TOPSIS method[J]. International Journal of Multimedia and Ubiquitous Engineering, 2016, 9(11): 395–406.
- W.C. Tsai, Chih-Hsiung Wang. Extended economic maintenance scheduling for a batch production system[J]. Journal of Information and Optimization Sciences, 2017, 38(2):219–231, DOI: 10.1080/02522667.2016.1164986
- Dewi Rahardja, Han Wu. Statistical methodological review for time-to-event data[J]. Journal of Statistics and Management Systems, 2018, 21(1):189–199, DOI: 10.1080/09720510.2017.1411029