Next Article in Journal
An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin, China
Next Article in Special Issue
Scoping for the Operation of Agile Urban Adaptation for Secondary Cities of the Global South: Possibilities in Pune, India
Previous Article in Journal
On the Dominant Factor Controlling Seasonal Hydrological Forecast Skill in China
Previous Article in Special Issue
Thermal Study on Extensive Green Roof Integrated Irrigation in Northwestern Arid Regions of China
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Water 2017, 9(11), 903; https://doi.org/10.3390/w9110903

Detailed Sponge City Planning Based on Hierarchical Fuzzy Decision-Making: A Case Study on Yangchen Lake

1
Joint Research Centre for Water Sensitive Cities, Southeast University-Monash University Joint Graduate School (Suzhou), Southeast University, Suzhou 215123, China
2
Department of Civil Engineering, Southeast University, #2Sipailou, Nanjing 210096, China
3
School of Civil Engineering, Lanzhou University of Technology, 287 Langongping, Lanzhou 730050, China
*
Author to whom correspondence should be addressed.
Received: 16 October 2017 / Revised: 9 November 2017 / Accepted: 17 November 2017 / Published: 20 November 2017
(This article belongs to the Special Issue Sponge Cities: Emerging Approaches, Challenges and Opportunities)
View Full-Text   |   Download PDF [2096 KB, uploaded 20 November 2017]   |  

Abstract

We proposed a Hierarchical Fuzzy Inference System (HFIS) framework to offer better decision supports with fewer user-defined data (uncertainty). The framework consists two parts: a fuzzified Geographic Information System (GIS) and a HFIS system. The former provides comprehensive information on the criterion unit and the latter helps in making more robust decisions. The HFIS and the traditional Multi-Criteria Decision Making (MCDM) method were applied to a case study and compared. The fuzzified GIS maps maintained a majority of the dominant characteristics of the criterion unit but also revealed some non-significant information according to the surrounding environment. The urban planning map generated by the two methods shares similar strategy choices (6% difference), while the spatial distribution of strategies shares 69.7% in common. The HFIS required fewer subjective decisions than the MCDM (34 user-defined decision rules vs. 141 manual evaluations). View Full-Text
Keywords: Sponge City; urban planning; fuzzy logic; GIS; flooding Sponge City; urban planning; fuzzy logic; GIS; flooding
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, J.; Fu, D.; Wang, Y.; Singh, R.P. Detailed Sponge City Planning Based on Hierarchical Fuzzy Decision-Making: A Case Study on Yangchen Lake. Water 2017, 9, 903.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top