the aim of this study was to investigate the effect  of irrigation period on the quality and quantity of yield and some morphological and physiological traits of three multigerm sugar beet genotypes named bp mashhad, bp karaj and 191. the experiment was in a split  plot  based on randomized complete block  design , carried out  at motahari research station of sugar beet seed research institute ...

 Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...

Abstract The results of an integrated study aimed at restoring water quality in a large watershed including seven catchments in north east Iran are presented in this paper. This case study demonstrates how landscape metrics reflect direct or surrogate causes of the land use practices that are the determinants of water quality parameters. Water quality factors included EC, pH, Cl-1, HCO3-1, SO4-...

globally, irrigated agriculture is the largest extractor and the most frequent consumer of groundwater resources, with important groundwater-dependent and largely spread agro-economies. quality of irrigation water is one of the key factors which have either direct or indirect impact on plant growth, soil and water management practices and plant yields. this work aims at highlighting the importa...

the aim of this study is to investigate underground water quality parameters in gorganrud river basin and their connection with aboveground conditions using gis and artificial neural networks. in order to prepare a land use map of the area, liss iii image of irs satellite of the year 2008 was used in a maximum likelihood classification. the results revealed that there was a significant correlat...