Application of Spatial Analysis Techniques to Select the Most Suitable Areas for Flood Spreading

Water Resources Management

Volumn 27, Issue 8, 2013, Pages 3071-3084

  Moradi Dashtpagerdi, Mostafa ^a   Nohegar, Ahmad ^b   Vagharfard, Hassan ^b   Honarbakhsh, Afshin ^c   Mahmoodinejad, Vafa ^a   Noroozi, Akbar ^b   Ghonchehpoor, Diba ^b  

^a Education organization of Chaharmahal va Bakhtiari   (Iran)

^b UNIVERSITY OF HORMOZGAN   (Iran)

^c SHAHREKORD UNIVERSITY   (Iran)

Author keywords

Boolean Logic; Fuzzy Clustering; Overlay Index; Spatial Analysis

Indexed keywords

COMPUTER CIRCUITS; FLOODS; FUZZY CLUSTERING; LAND USE; SITE SELECTION;

ARTIFICIAL RECHARGE; BOOLEAN LOGIC; BOOLEAN MODEL; FUZZY CLUSTERING TECHNIQUES; INFILTRATION RATE; OVERLAY INDEX; SPATIAL ANALYSIS; STUDY AREAS;

SPATIAL VARIABLES MEASUREMENT;

ARTIFICIAL RECHARGE; CLUSTER ANALYSIS; FLOODING; FUZZY MATHEMATICS; GIS; MAPPING; SPATIAL ANALYSIS;

EID: 84877001718     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0333-0     Document Type: Article

References (42)

1. Alesheikh AA, Soltani MJ, Nouri N, Khalilzadeh M (2008) Land assessment for flood spreading site selection using geospatial information system. Int J Environ Sci Tech 5(4): 455-462.
2. Asano T (1985) Artificial recharge of groundwater. Butterworth Publishers, United States of America, p. 767.
3. ASCE Standard (2001) Standard guidelines for artificial recharge of groundwater. Environmental and Water Resources Institute, American Society of Civil Engineers. ASCE standards, EWRI/ASCE 34-01, 106.
4. Bezdek JC (1981a) Detection and characterization of cluster substracture. I. Linear structure: fuzzy c-lines. SIAM J Appl Math 40(2): 339-357.
5. Bezdek JC (1981b) Detection and characterization of cluster substracture. II. Fuzzy c-varieties and convex combinations thereof. SIAM J Appl Math 40(2): 358-372.
6. Bonham Carter G (1991) Geographic information system for geoscientists: modeling with GIS. Pergamon, Ontario, pp 319-470.
7. Bonham Carter GF (1994) Geographic information systems for geoscientists: modeling with GIS. Paragon Press, Oxford.
8. Bonham Carter G (1996) Geographic information systems for geoscientists modeling with GIS. Computer methods in the geosciences. Pergamon, Love Printing Service Ltd., Ontario, Canada, p 398.
9. Cannon R, Dave J, Bezdek J (1986) Efficient implementation of the fuzzy c-means clustering algorithm. IEEE Trans Pattern Anal Mach Intell 8: 248-255.
10. FAO Soil Bulletin (1979) Soil Survey Investigations for Irrigation. FAO No. 42.
11. Faucette B, King W, Germishuizen P (2003) Compost based erosion and sediment control demonstrations. BioCycle 44(10): 32-40.
12. Gass T (1979) Artificial recharge: part II. Water Well J 33: 32-33.
13. Ghayoumian J, Shoaei Z, Karimnejad HR, Ghermezcheshmeh B, Abdi P (2002) Some examples of artificial recharge of aquifers by floodwater spreading in Iran. Proceedings of the 9th Congress of the International Association for Engineering Geology and the Environment, Durban, South Africa 1529-1537.
14. Ghayoumian J, Ghermezcheshme B, Feiznia S, Noroozi AA (2005) Integrating GIS and DSS for identification of suitable areas for artificial recharge, case study Meimeh Basin, Isfahan, Iran. Environ Geo 47(4): 493-500.
15. Ghayoumian J, Mohseni Saravi M, Feiznia S (2007) Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. J Asian Earth Sci 30: 364-374.
16. Gustafson DK (1979) Fuzzy clustering with a fuzzy covariance matrix. San Diego, USA, Proc. IEEE CDC.
17. Han Z (2003) Groundwater resources protection and aquifer recovery in China. Environ Geol 44(1): 106-111.
18. Huang J, Zhang J (2011) Fuzzy C-means clustering algorithm with spatial constraints for distributed WSN data stream. Int J Adv Comput Technol III: 165-175.
19. Karaboga D, Ozturk C (2010) Fuzzy clustering with artificial bee colony algorithm. Sci Res Essays 5(14): 1899-1902.
20. Kheirkhak Zarkesh M (2005) Decision support system for floodwater spreading site selection in Iran. Wageningen University, Netherlands: International Institute for Geo-information Science and Earth Observation, Enschede, The Netherlands, 259 p.
21. Krishnamurthy JS (1995) Role of geological and geomorphological factors in groundwater exploration: a study using IRS LISS data. Int J Remote Sens 16(14): 2595-2618.
22. Krishnamurthy J, Venkatesa Kumar N, Jayaraman M (1996) An approach to demarcate groundwater potential zones through remote sensing and geographical information system. Int J Remote Sens 17(10): 1867-1884.
23. Krishnapuram RK (1999) A note on the Gustafson-Kessel and adaptive fuzzy clustering algorithms. IEEE Trans Fuzzy Syst 7(4): 453-461.
24. Liu CW, Chen SK, Kuo SF (2001) Estimation of the infiltration rate of a paddy field inYen-Lin, Taiwan. Agr Syst 68(1): 41-54.
25. Murray JO, McDaniel PA (2003) Development of a GIS database for ground-water recharge assessment of the Palo use. Soil Sci 168(11): 759-768.
26. O'Hare MP, Fairchild DM, Hajali PA (1986) Artificial recharge of ground water. Lewis Publishers, Inc, Norman.
27. Pal N, Bezdek J (1995) On cluster validity for fuzzy c-means model. IEEE Trans Fuzzy Syst 3: 370-379.
28. Raghonath K (1987) Groundwater assessment, development and management. McGraw-Hill Publishing Company Limited, 720 p.
29. Ravi Shankar MN, Mohan G (2005) A GIS based hydrogeomorphic approach for identificationof site-specific artificial-recharge techniques in the Deccan Volcanic Province. J Earth Syst Sci, pp 505-514.
30. Saade JJ, Diab HB (2004) Defuzzification methods and new techniques for fuzzy controller. Iran J Electr Comput Eng, 3(2): 161-174.
31. Saraf AC (1998) Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. Int J Remote Sens 19(10): 2595-2616.
32. Saravi MM, Nouri B (2006) Identification of suitable sites for groundwater recharge. The 2nd International Conference on Water Resources and Arid Environment, 1-5.
33. Schabenberger O, Gotway CA (2005) Statistical methods for spatial data analysis. Chapman and Hall/CRC Press, p 512.
34. Sukumar S, Sankar K (2010) Delineation of potential zones for artificial recharge using GIS in Theni district, Tamilnadu, India. International Journal of Geomatics and Geoscience, pp 639-648.
35. Tabari H, Talaee HP (2011) Temporal variability of precipitation over Iran. Int J Hydrol 396: 313-320.
36. Technical report for artificial recharge through flood spreading in I. R. Iran (1999) Soil Conservation and Watershed Management Research Institute.
37. Tiederman W, Kincannon O (1972) Water reclamation for ground water recharge. Oklahoma Water Resources Research Institute, Oklahoma State University. Stillwater, Oklahoma: OWRR-A-034-OKLA(1).
38. Wood WW (1980) Developement of technical site selection criteria for artificial recharge. Wastewater reuse for groundwater recharge. Proceedings of the Symposium, Pomona, California, 73-97.
39. Wu KY (2002) Alternating c-means clustering algorithms. Pattern Recogn 35: 2267-2287.
40. Wu K, Yang M (2005) A cluster validity index for fuzzy clustering. Pattern Recogn Lett, pp 1275-1291.
41. Yu J, Cheng Q, Huang H (2004) Analysis of the weighting exponent in the FCM. IEEE Trans Systems Man Cybernet, pp 634-639.
42. Zehtabian GA (2001) Determination of an appropriate area for flood water spreading by remote sensing data and GIS. In: Proceedings of the International Conference on New Technology for a New Century, Seoul, Korea. p1-6.