APPLYING ANN AND GIS FOR ESTIMATION OF EFFECTIVE PARAMETERS IN DETERMINATION OF PLANT PATTERN (CASE STUDY: NAHAVAND CITY)

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BANEJAD HOSSEIN; MOHEBZADEH HAMID; OLYAIE EHSAN

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Journal: JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY Year:2013 | Volume:15 | Issue:1 (56) Page(s): 23-35

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Title

APPLYING ANN AND GIS FOR ESTIMATION OF EFFECTIVE PARAMETERS IN DETERMINATION OF PLANT PATTERN (CASE STUDY: NAHAVAND CITY)

Author(s)

BANEJAD HOSSEIN | MOHEBZADEH HAMID | OLYAIE EHSAN | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKSQ1

GISQ2

PLANTING PATTERNQ2

NAHAVANDQ2

Abstract

One of the most important issues in irrigated agriculture is determination of optimum plant pattern. Therefore, estimation of effective parameters in quality and quantity of available water is significant and is one of the most important components in adoption of management decisions in development of sustainable agriculture. In this study, ARTIFICIAL NEURAL NETWORKS technique has been used for estimation of piezometer wells water level and also effective factors for water quality used in agriculture (EC, SAR). For this purpose, monthly recorded data for piezometer wells water level during a seven year and data related with water quality during a four years period in NAHAVAND plain were used. Also, a groundwater level in NAHAVAND in year of 1385-86 was drawn. Efficiency of model was evaluated by statistical criteria including coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE). The derived results showed that R2 value for estimation of piezometer wells water level is 0.98 and for SAR and EC is 0.991 and 0.990 respectively. The above results indicated the appropriate ability of ARTIFICIAL NEURAL NETWORKS as superior technique for simulation of effective quality and quantity parameters in determination of plant pattern. Also the results from spatial drowning of groundwater level by Geographic Information System indicated the shortage of water resource in this region.

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APA: Copy

BANEJAD, HOSSEIN, MOHEBZADEH, HAMID, & OLYAIE, EHSAN. (2013). APPLYING ANN AND GIS FOR ESTIMATION OF EFFECTIVE PARAMETERS IN DETERMINATION OF PLANT PATTERN (CASE STUDY: NAHAVAND CITY). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 15(1 (56)), 23-35. SID. https://sid.ir/paper/87098/en

Vancouver: Copy

BANEJAD HOSSEIN, MOHEBZADEH HAMID, OLYAIE EHSAN. APPLYING ANN AND GIS FOR ESTIMATION OF EFFECTIVE PARAMETERS IN DETERMINATION OF PLANT PATTERN (CASE STUDY: NAHAVAND CITY). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2013;15(1 (56)):23-35. Available from: https://sid.ir/paper/87098/en

IEEE: Copy

HOSSEIN BANEJAD, HAMID MOHEBZADEH, and EHSAN OLYAIE, “APPLYING ANN AND GIS FOR ESTIMATION OF EFFECTIVE PARAMETERS IN DETERMINATION OF PLANT PATTERN (CASE STUDY: NAHAVAND CITY),” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 15, no. 1 (56), pp. 23–35, 2013, [Online]. Available: https://sid.ir/paper/87098/en

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