Refractivity profile distribution model for infrared waves

2012 ◽  
Vol 24 (12) ◽  
pp. 2778-2782 ◽  
Author(s):  
孙正 Sun Zheng ◽  
宁辉 Ning Hui ◽  
谢永杰 Xie YongJie ◽  
曹鑫 Cao Xin
2014 ◽  
Vol 529 ◽  
pp. 591-594
Author(s):  
Zi Ying Liu ◽  
Yan Guang Sun ◽  
Xiang Rong Song

This paper, aimed at Ganglu 1500 hot strip rolling project, developed advanced shape control system. Entry profile calculation strategy was developed. Natural output profile was defined. Profile distribution model based on the buckling limit was developed. Practical applications in domestic 1500 hot strip mill show that the setup calculation strategy achieved good effect and enhanced the profile and flatness precision


2021 ◽  
Author(s):  
Marcos Tassano ◽  
Romina Sanabria ◽  
Joan Gonzalez ◽  
Pablo Cabral ◽  
Samuel Tejeda ◽  
...  

<p>The study site consists of two sub-basins (“Arbolito”, 20.94 km2; and “Horno”, 10.44 km2) divided by the Rolon stream, which in turn flows into the Baygorria hydroelectric dam reservoir (-32.77152 S; -56.84093 W). The "Arbolito" sub-basin consists of natural pasture with extensive cattle from the 19th century to the present day.  Soils are predominantly eutric brunosols and clayey haplic vertisols with slopes > 6% (MGAP, Uruguay). The “Horno” sub-basin consists of intensive agriculture since the mid-1980s, with a history of rice, wheat, oat, soybean and pastureland rotations. At the beginning of the 2000s, direct sowing began in this region of the country. Soils in Horno are predominantly clayey, deep Haplic Vertisols and Typical Eurethric Brunosols, clayey silt, vertically and moderately deep, with slopes ≤ 6 % (MGAP, Uruguay). Both soil types and their formation are associated with basaltic lithologies. A total of 50 surface samples from natural pastures, cropland and channel banks were used as sources to describe the mixture of sediments (fine-bed material) using geochemical elements and the FingerPro mixing model. For the 137Cs technique, a total of 120 surface samples were taken, multi-transect sampling was conducted in both sub-basins, and reference sites were established. Profile Distribution Model (PDM) and Diffusion Model (DM) were used as conversion model for the Arbolito sub-basin, while Mass Balance Model II (MBM II) was used for Horno sub-basin. MODERN model was used in both areas. Sediment fingerprinting results showed that the proportion of sediment sources is divided as follows: cropland (up to 70%), pastures (up to 25%) and channel banks (the remaining 5%). The reference value of 137Cs found was 369.0 bq.m-2 (SD 7.4 bq.m-2) on 01/01/2020 calibration date. The results of the net soil redistribution rates using different conversion models of 137Cs were consistent with each other, and showed erosion in both sub-basins, Arbolito: PDM (-0.72 Mg ha-1 yr-1), DM (-0.29 Mg ha-1 yr-1), MODERN (-0.69 Mg ha-1 yr-1); Horno: MBM II (-0.5 Mg ha-1 yr-1), MODERN (-0.56 Mg ha-1 yr-1). Although the net erosion rate in both sub-basins is similar, the redistribution of soil within each sub-basin is different. While the Arbolito shows on average preserved areas at the top of the slopes (MODERN 1.7 Mg ha-1 yr-1), with high erosion in the middle (MODERN -5.7 Mg ha-1 yr-1) and low erosion in lower areas (MODERN -0.47 Mg ha-1 yr-1); Horno sub-basin shows in average eroded areas at the top of the slopes (MODERN -4.3 Mg ha-1 yr-1) with low sedimentation in the middle (MODERN 0.4 Mg ha-1 yr-1) and high sedimentation in the lower areas (MODERN 2.21 Mg ha-1 yr-1). This would explain a greater redistribution of the soil from the high to the low areas in the Horno sub-basin compared to Arbolito, probably due to the mechanical movement of the soil by agriculture practice. These results may explain a greater export of soils in Horno compared to Arbolito, which agrees with cropland as the most important source of sediments (up to 70%) by fingerprinting techniques.</p>


Author(s):  
Junhui Mei ◽  
Xidong Zhang ◽  
Heng Zhang ◽  
Guojun Lai ◽  
Guixia Kang

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Djoko Prijo Utomo

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).


2018 ◽  
Vol 16 (2) ◽  
pp. 138
Author(s):  
Aan Zainul Anwar ◽  
Miftah Arifin

This study aimed to determine the degree of understanding of zakat on profession/income and the characteristics of the community distribution model as an effective collection model for zakat institutions. This study used a qualitative method with 68 respondents from various professional work backgrounds including civil servants, teachers, employees, military, police, and government officials. The results of this study were that Jepara people have a high degree of understanding about zakat but have not been fully able to calculate nishab of zakat especially zakat on profession/income. Therefore, not all people who are obliged to pay zakat on professionand the distribution of zakat on professionis still directly to mustahiq.Keywords: Zakat on Profession/Income; Understanding of Zakat; Zakat; Alms 


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