Climatology
Khalil Valizadeh Kamran; maryam longbaf
Volume 22, Issue 65 , November 2018, , Pages 287-299
Abstract
The agriculture is the sector that uses most of fresh water resources. Since the water resources are always subjected to severe depletion, the agriculture sector requires using the water with high efficiency and more effective ways One of the procedures leading to improvement of water management productivity ...
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The agriculture is the sector that uses most of fresh water resources. Since the water resources are always subjected to severe depletion, the agriculture sector requires using the water with high efficiency and more effective ways One of the procedures leading to improvement of water management productivity and ultimately to increase of water efficiency is the accurate estimation of the evapo-transpiration or estimation of water use efficiency of the crops. The remote sensing by giving an estimation of the degree of evapotranspiration (with little use of ground data) has a high potential for modification of cultivation patterns and management of water resources This research aims to determine the actual evapo-transpiration (need of water) of maize, which is an indigenous plant in the northern Khuzestan province, using the image processing of Landsat 8 in four passes include: 13 Aug, 14 Sep, 16 Oct and 17 Nov 2013 and also using the required metrological data based on Surface Energy Balance Algorithm for Land (SEBAL). The results showed that the amounts of needed water estimated by SEBAL model for maize in the initial growth stage, development stage, middle stage and the end stage are 5.04, 8.23, 5.55, and 1.46 mm per day respectively. The values from remote sensing were compared for values assessed by FAO- Penman-Monteith and evaporation pan methods and it was observed that MAE and RMSE are 0.45 and 0.18 mm per day compared to FAO- Penman - Montieth method. In sum, the results indicated that the SEBAL model is able to give answers with high accuracy and in short time and can be used as a beneficial and efficient tool in organizing water resources and meeting the plant water needs.
Geotourism
M. Taghvaei; fatemeh jalalian
Abstract
Evaluation of climate comfort and the suitable days for recreational walking in urban areas is a significant aspect of successful planning aimed at promoting the urban tourism industry. Khuzestan is a vast province in Iran with very high tourism potentials as well as climatic variety, and can be regarded ...
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Evaluation of climate comfort and the suitable days for recreational walking in urban areas is a significant aspect of successful planning aimed at promoting the urban tourism industry. Khuzestan is a vast province in Iran with very high tourism potentials as well as climatic variety, and can be regarded as a tourism pole in Iran. This study aims to use the Equivalent Physiological Model for determining the number of climate comfort days in Khuzestan Province. To this end, the mean values of the daily data provided by eight synoptic meteorological stations during a ten year period (2000-2009) were used. Four meteorological factors were considered: dry air temperature, relative humidity, cloudiness, and wind velocity. The following cities were studied: Abadan, Ahvaz, Behbahan, Dezful, Iezeh, Masjed-e Soleiman, Ramhormoz, and Shustar. Upon feeding the mean data obtained for these cities to Rayman, the number of climatically suitable days for recreational walking in each city were determined. Upon taking into account the periods with negligible high- and low-temperature stresses, the output obtained from the computer model indicated that Iezeh with 168 climate comfort days was the most suitable city for accomodating tourists; followed by Masjed Soleiman (139 days), Ahvaz (130 days), Shushtar and Abadan (128 days), Behbahan (124 days), Ramhormoz (119 days), and Dezful (116 days). The results also showed that between late November and late March, Khuzestan Province would generally provide climatically favorable conditions for the visiting tourists.
