POSSIBILITY OF HYDROLOGICAL GROUPING OF GEOLOGICAL FORMATIONS BY NEURAL NETWORK IN SEFIDROOD BASIN

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REZAEI ALI; MAHDAVI MOHAMMAD; FEYZNIA S.; LUCAS K.; MAHDIAN M.H.

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Journal: Year:2006 | Volume:19 | Issue:1 (70 IN NATURAL RESOURCES) Page(s): 10-22

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Information Journal Paper

Title

POSSIBILITY OF HYDROLOGICAL GROUPING OF GEOLOGICAL FORMATIONS BY NEURAL NETWORK IN SEFIDROOD BASIN

Author(s)

Keywords

HYDROLOGICAL GROUPINGQ3

IRANQ3

NEURAL NETWORKQ3

RAINFALL RUNOFF SEFIDROODQ3

Abstract

The Geological formations and Rock Units (GFRUs) of 12 sub-basins in south zone of Sefidrood basin have been classified to four or some combination of them by inspiration of four soil hydrologic groups and measured their occupied area. The 628 hydrographs have been selected for training and 54 other for testing and their similar daily flooding rainfall and five days antecedent rainfall depths were extracted and runoff depths was calculated. The relations among runoff depths with sub basins areas, daily flooding rainfall depths, five days antecedent rainfall depths and percent occupied by any of Geological Formations units (GFRUs) have been modeled based on Multiple Linear Regression (MLR) and Artificial Perceptron NEURAL NETWORKs (APNN). The results show significance differences among (GFRUs) at error level of %l and occasionally %5 for producing of runoff based on (APNN) and (MLR). The rainfalls depths have been simulated by (APNN) with stabilize of all entrances exclusive of rainfall depths and hypothesis of sub basins area was occupied only by one type of (GFRUs). The conclusion states that there are some chaos hydrologic behaviors and vague borders among (GFRUs) and will better to decline number of hydrologic groups to three and changing the form of complexity of them.

Cites

CALIBRATION OF MONTHLY WATER YIELD MODEL FOR SMALL CATCHMENTS

References

AN INVESTIGATION OF FACTORS AFFECTING RUNOFF GENERATION IN ARID AND SEMI-ARID AREA USING SIMULATION AND RAINFALL RUNOFF DATA

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APA: Copy

REZAEI, ALI, MAHDAVI, MOHAMMAD, FEYZNIA, S., LUCAS, K., & MAHDIAN, M.H.. (2006). POSSIBILITY OF HYDROLOGICAL GROUPING OF GEOLOGICAL FORMATIONS BY NEURAL NETWORK IN SEFIDROOD BASIN. PAJOUHESH-VA-SAZANDEGI, 19(1 (70 IN NATURAL RESOURCES)), 10-22. SID. https://sid.ir/paper/19327/en

Vancouver: Copy

REZAEI ALI, MAHDAVI MOHAMMAD, FEYZNIA S., LUCAS K., MAHDIAN M.H.. POSSIBILITY OF HYDROLOGICAL GROUPING OF GEOLOGICAL FORMATIONS BY NEURAL NETWORK IN SEFIDROOD BASIN. PAJOUHESH-VA-SAZANDEGI[Internet]. 2006;19(1 (70 IN NATURAL RESOURCES)):10-22. Available from: https://sid.ir/paper/19327/en

IEEE: Copy

ALI REZAEI, MOHAMMAD MAHDAVI, S. FEYZNIA, K. LUCAS, and M.H. MAHDIAN, “POSSIBILITY OF HYDROLOGICAL GROUPING OF GEOLOGICAL FORMATIONS BY NEURAL NETWORK IN SEFIDROOD BASIN,” PAJOUHESH-VA-SAZANDEGI, vol. 19, no. 1 (70 IN NATURAL RESOURCES), pp. 10–22, 2006, [Online]. Available: https://sid.ir/paper/19327/en

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