Ecological suitability evaluation for urban growth boundary in red soil hilly areas based on fuzzy theory

Sheng Jiao , Qing Gao , Chun-yu Wei , Bei Liu , Xiao-dong Li , Guang-ming Zeng , Zhong-xing Yuan , Jie Liang

Journal of Central South University ›› 2012, Vol. 19 ›› Issue (5) : 1364 -1369.

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Journal of Central South University ›› 2012, Vol. 19 ›› Issue (5) : 1364 -1369. DOI: 10.1007/s11771-012-1151-x
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Ecological suitability evaluation for urban growth boundary in red soil hilly areas based on fuzzy theory

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Abstract

The fuzziness exists in spatial distribution of geographic data of land suitability evaluation processes, which makes it difficult to quantify land boundaries by using traditional binary logic-based overlay model. Aiming at this limitation, an ecological suitability evaluation analysis model was presented based on fuzzy theory and a research on urban growth boundary (UGB) of the Great-Hexi Leading District (GHLD) of Changsha was conducted. With the support of GIS, RS and MATLAB, slope, elevation, vegetation, soil productivity, soil permeability, water body and land use are selected as the input of model according to the characteristic properties of soil and terrain in red soil hilly areas. The running result of this model indicates that the ratios of highly suitable land, suitable land, moderately suitable land and unsuitable land in GHLD are 18.75%, 10.31%, 64.16%, 6.78%, respectively. This result accords with spatial structure worked out by Space Development Strategy Planning of GHLD. Based on this result, several suggestions are made to guide UGB developments in future.

Keywords

land ecological suitability evaluation / fuzzy theory / urban growth boundary (UGB) / GIS / MATLAB

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Sheng Jiao, Qing Gao, Chun-yu Wei, Bei Liu, Xiao-dong Li, Guang-ming Zeng, Zhong-xing Yuan, Jie Liang. Ecological suitability evaluation for urban growth boundary in red soil hilly areas based on fuzzy theory. Journal of Central South University, 2012, 19(5): 1364-1369 DOI:10.1007/s11771-012-1151-x

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References

[1]

TayyebiA., PijanowskiB. C., TayyebiA. H.. An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran [J]. Landscape and Urban Planning, 2010, 26(3): 349-357

[2]

LiW., XuJ.-chun.. Study on spatial structure of Hangzhou city based on UGB [J]. Urban Studies, 2009, 16(4): 106-111

[3]

WenX., ZhouL., LiD.-jiang.Matlab fuzzy logic toolbox analysis and application [M], 2001BeijingScience Press1-4

[4]

ZhangX.-x., YaoJ., LiM.-chun.. A review of fuzzy sets on spatial data handling [J]. Remote Sensing Information, 2005, 2: 47-51

[5]

HeY.-b., ChenY.-q., YangP., Wuw.-b., Yaoy.-m., Liz.-bin.. An overview and perspective of alien land suitability evaluation: study based on GIS technology [J]. Progress in Geography, 2009, 28(6): 898-904

[6]

ZadehL. H.Fuzzy sets: Information and control [J], 1965, 8: 338-353

[7]

ReshmideviT. V., EldhoT. I., JanaR.. A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds [J]. Computers & Geosciences, 2009, 101(1/2): 101-109

[8]

Nisar AhamedT. R., Gopal RaoK., MurthyJ. S. R.. GIS-based fuzzy membership model for crop-land suitability analysis [J]. Agricultural Systems, 2000, 63(2): 75-95

[9]

MoutonM. A., Alcaraz-hernándezJ. D., BaetsB. D., GoethalsP. L. M., Martínez-capelF.. Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean Rivers [J]. Environmental Modelling & Software, 2011, 26(5): 615-622

[10]

SicatR. S., CarranzaE. J. M., NidumoluU. B.. Fuzzy modeling of farmers’ knowledge for land suitability classification [J]. Agricultural Systems, 2005, 83(1): 49-75

[11]

BroekhovenE. V., AdriaenssensV., BaetsB. D., VerdonschotP. F. M.. Fuzzy rule-based macroinvertebrate habitat suitability models for running waters [J]. Ecological Modelling, 2006, 198(1/2): 71-84

[12]

Nisar AhamedT. R., Gopal RaoK., MurthyJ. S. R.. Fuzzy class membership approach to soil erosion modeling [J]. Agricultural Systems, 2000, 63(2): 97-110

[13]

BoroushakiS., MalczewskiJ.. Using the fuzzy majority approach for GIS-based multicriteria group decision-making [J]. Computers & Geosciences, 2010, 36(3): 302-312

[14]

Fuzzy logic toolbox tutorial [EB/OL]. [2011-03-04]. http://www.mathworks.com/help/toolbox/fuzzy/fp754.html.

[15]

FAOA Framework for land evaluation, 1976RomeFAO

[16]

Planning Administrative Bureau in Changsha, Urban Planning Design Institute in Shenzhen, Planning Design Consultant Limited Company in Changsha. Space Development Strategy Planning of Changsha GHLD [R]. 2008. ( in Chinese)

[17]

GordonA., SimondsonD., WhiteM., MoilanenA., BekessyS. A.. Integrating conservation planning and land use planning in urban landscapes [J]. Landscape and Urban Planning, 2009, 91(4): 183-194

[18]

WANG Guo-en, XIAO Rong-bo, PENG Tao. Land intensive use planning and developing strategy in mountain city: Taking Zunyi as an example [J]. Modern Urban Research, 2010(2): 74–79. (in Chinese)

[19]

DuanD.-g., LuS.-y., TianTao.. Some preliminary exploration of UGB establishment-management system [J]. Planners, 2009, 25(8): 11-14

[20]

GennaioM. P., HerspergerA. M., BurgiM.. Containing urban sprawl-Evaluating effectiveness of urban growth boundaries set by the Swiss land use plan [J]. Land Use Policy, 2009, 26(2): 224-232

[21]

ZhuZ.-w., MoB., XieF.-rong.. Delimitation of urban growth boundary based on land ecological suitability evaluation: A case of Fangchenggang [J]. Planners, 2009, 25(11): 40-44

[22]

FengK., WuC.-f., WeiS.-c., LiuYong.. Urban expansion management: Review on the theory of UGB and its reference for China [J]. China Land Science, 2008, 22(5): 77-80

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