soil erosion models are useful tools to predict runoff, sediment and soil erosion in watersheds. although, the swat model is used for evaluating runoff discharge and the long-term effects of management operation on water, sediment and agricultural chemical yields in the large watersheds, in this research, its efficiency was investigated in monthly runoff simulation for tuyserkan watershed (with...

abstract in this research, four meteorological set of data including maximum temperature, minimum temperature, precipitation and radiation from echo-g, under a1scenario have been used for climate change detection over south khorasan. echo-g is a general circulation model that currently is used in hamburg university and korea meteorological research institute. in this research climate change ass...

BACKGROUND Korean ginseng is a well-known medicinal herb that has been widely used in traditional medicine to treat various diseases, including asthma. Ginseng can be classified as white ginseng (WG) or red ginseng (RG), according to processing conditions. In this study, the authors compared the efficacies of these two ginseng types in a mouse model of acute asthma. METHODS To produce the acu...

The impacts of future climate changes on watershed hydrochemical processes were assessed based the newest Shared Socioeconomic Pathways (SSP) scenarios in Coupled Model Intercomparison Project Phase 6 (CMIP6) Tianhe River middle area China. monthly spatial downscaled outputs General Circulation Models (GCMs) used, and a new Python procedure was developed to batch pick up site-scale change infor...

Climate is a complex system which is changing mainly due to the increase of greenhouse gases. Because of the importance of climate change and the effects it can have on water resources, in recent years, this topic has been taken into consideration for different basins on Earth. The objective of this study is to investigate the effects of climate change and forecasting meteorological variables o...

in this study two intelligent systems, based on adaptive neuro-fuzzy inference systems (anfis) and artificial neural networks (anns) of forecasting municipal solid wastes (msw) generation has been proposed. anfis and anns as an intelligent tool compared with together was used to monthly prediction of msw generated in tehran. monthly amount of solid wastes (sw), total monthly precipitation, mont...