نتایج جستجو برای: in the universal soil loss equation usle
تعداد نتایج: 21291602 فیلتر نتایج به سال:
ABSTRACT: Sugarcane covers 10.6 Mha of Brazilian agricultural land (13 % all cropland), mainly in the south-central region. In tropical climate conditions, physiological characteristics sugarcane allow a wide range management systems with contrasting soil erosion outcomes. Models can assess these differences and Universal Soil Loss Equation (USLE) based models are most frequently used. The cove...
abstract: about 60% of total premium of insurance industry is pertained?to life policies in the world; while the life insurance total premium in iran is less than 6% of total premium in insurance industry in 2008 (sigma, no 3/2009). among the reasons that discourage the life insurance industry is the problem of adverse selection. adverse selection theory describes a situation where the inf...
in this thesis, structural, electronical, and optical properties of inverse pervskite(ca3pbo) in cubic phase have been investigated.the calculation have been done based on density functional theory and according to generalized gradiant approximate (gga) as correlating potential. in order to calculate the configurations, implementing in the wien2k code have been used from 2013 version. first of ...
Sustainable soil environment along with available water resources is critical for food security and agricultural productivity. The Korea territory consists of 65% mountainous topography the variability rainfall rapidly increasing due to climate change, thereby a risk erosion. Soil erosion by has been estimated using empirical equations accumulated data over time in U.S. since 1930 s, representa...
Rainfall erosivity factor (R-factor) is one of the Universal Soil Loss Equation (USLE) input parameters that account for impacts rainfall intensity in estimating soil loss. Although many studies have calculated R-factor using various empirical methods or USLE method, these are time-consuming and require specialized knowledge user. The purpose this study to develop machine learning models predic...
run-out-table (rot) is located between last finishing stand and down coiler in a hot strip mill. as the hot steel strip passes from rot, water jets impact on it from top and bottom and strip temperature decreases approximately from 800-950 °c to 500-750°c. the temperature history that strip experience while passing through rot affects significantly the metallurgical and mechanical properties, s...
soil erosion is a serious environmental problem in vazroud watershed, which is located in the centre of the mazandaran province, iran. unfortunately, vazroud watershed like most iran watersheds don’t have recorded data and erosion and sedimentation gages to research, monitor and model soil erosion at large watershed. in order to assess the soil erosion risk, soil erosion modeling at the watersh...
introduction: globally, soil erosion is a principal degradation process resulting in negative impacts on different soil functions (food and other biomass production, water storing, filtering and transformation, habitat and gene pool, physical and cultural environment for mankind, and source of raw materials) which ultimately causes irreversible effect on the poorly renewable soil resource. dete...
the modeling can provide a quantitative approach and consistency in the estimationsoil erosion and sediment yield by a wide range of conditions. in this study, the integration method of revised universal soil loss equation model, geographic information system and remote sensing techniques were used in order to identify the spatial distribution of soil erosion and sediment yield in the talar wat...
As one of the key tools for regulating human-ecosystem relations, environmental conservation policies can promote ecological rehabilitation across a variety of spatiotemporal scales. However, quantifying the ecological effects of such policies at the regional level is difficult. A case study was conducted at the regional level in the ecologically vulnerable region of the Loess Plateau, China, t...
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