An evaluation of the pesera soil erosion model and its application to a case study in Zakynthos, Greece

Abstract. The Pan‐European Soil Erosion Risk Assessment (pesera ) model was evaluated using existing soil erosion data collected under various types of climate, vegetation, landscape and soil conditions. The data used represent a variety of typical Mediterranean land uses such as winter wheat, vines, olives and bare, stony land prevailing in hilly areas. Using this data, the model was calibrated for sediment transport by overland flow and results compared to measured soil erosion values from runoff plots and a watershed on a monthly basis. The performance of the model was assessed statistically, showing that it can be satisfactorily used for predicting soil erosion rates under the conditions included in the study. The overall model estimate including all the available experimental data was 0.69 t ha^?1 yr^?1 with a maximum error of 1.49 t ha^?1 yr^?1. After validation, the model was applied to a small watershed (60 ha) of great ecological importance for the sea turtle Caretta caretta. For this purpose, soil and vegetation maps were compiled from all the necessary data for applying the model. The model was run for three years using daily data from an existing nearby meteorological station. The predicted and measured soil erosion rates for a 7‐month period were 0.31 t and 0.18 t, respectively. Application of the model to each mapping unit showed the over‐riding importance of land use for sediment generation under the given climatic conditions. Bare land, occupying 5.5% of the watershed area, generated up to 69% of the total sediments estimated for the watershed. It is concluded that the pesera model can be used as a regional diagnostic tool under a range of soil, topographic and climatic conditions for identifying the best land use type and vegetation cover to protect hilly areas from soil erosion. The calculated overall root mean square error for the model is 0.06 t ha^?1 yr^?1, compared to a soil erosion rate of 0.04 t ha^?1 yr^?1, which can be tolerated for protecting the area for the sea turtle.     

创造性思维教学的探索与实践

随着素质教育的实施，培养学生的创造精神与实践能力，已成为世界各国教育的趋势。为此．就高等院校如何推行创造性思维教学、培养学生的创造性思维能力进行了探讨。     

含蜡原油管道蜡沉积研究进展

蜡沉积会减少管道的有效内径，增大输送压力，降低管道的输送能力，增加清管频率，甚至造成蜡堵事故。介绍了国内外有关析蜡的热力学模型、蜡沉积机理及蜡沉积的动力学模型的研究进展状况，提出了一些研究建议。     

区域证券市场发展潜力评价模型的建立及实证分析

建立了评价区域证券市场发展潜力的数学模型－定权聚类评估模型，并对河南各地区证券发展潜力进行了实证研究。     

犬埃立克体实验模型初步研究

将犬埃立克体标准毒株（Florida株）体外细胞纯培养物和我国犬埃立克体病病犬血白细胞分别接种于C3H小鼠，接毒后d，经PCR检测证实均感染成功。本试验为犬埃立克体病小动物模型的建立打下了基础。     

旱地有限补充供水与覆盖保水效果研究

本文针对旱地作物长期受水分亏缺制约的问题，为了使有限降水资源得以高效利用，研究了几种作物需水关键期有限补充供水以及覆盖保水的效应，表明旱地有限供水的高效性和对提高经济效益的显著作用。提出了实现有限降水资源富集叠加高效利用建设旱区高产高效农田的技术途径。     

三分域模型在研究单胃动物内源氨基酸排泄中的应用

本文在分析三分域链状系统模型及单胃动物内源氨基酸排泄特点的基础上 ,讨论了如何将三分域链状模型用于单胃动物内源氨基酸排泄模式的确定。研究分三步进行 :1.测定动物血液体积 ;2.静脉连续灌注同位素标记的氨基酸并使之于体内达到平衡 ;3.检测消化道中同位素标记氨基酸的排泄率。文章指出 ,若能对所有必需氨基酸的内源排泄率均进行测定 ,则可得出内源氨基酸排泄模式 ,因而在实际测定饲料或日粮真可消化氨基酸含量时 ,只需测定某种氨基酸的内源排泄量即可知其它氨基酸的内源排泄状况     

福建林区运材汽车评价模式的探讨

根据福建林区道路状况，结合农用货车性能特点，建立运材汽车评价模式，对福建林区四种有代表性的运材汽车进行了评价、并按综合性能优劣进行排序。研究结果发现：HFC1060为最优车型，NJ1060为次优型。     

微生物谷氨酰胺转胺酶(MTG)分批发酵模型的建立

在本文中，以本实验优化好的工艺条件，建立了关于微生物谷氨酰胺转胺酶分批发酵的数学模型方程细胞生长的动力学方程、产物合成的动力学方程和底物消耗的动力学方程。并对所建立的动力学方程进行了生物统计分析，结果表明所建立的模型具有一定的可信度。     

Application of acoustic Doppler current profiler combined with a scientific echo sounder for krill Euphausia pacifica density estimation

ABSTRACT:   An application of the acoustic Doppler current profiler (ADCP, 153.6 kHz) in combination with a scientific echo sounder (EK60, 38 and 200 kHz) was investigated to estimate the density of krill Euphausia pacifica . The acoustic backscattering strength from sound scattering layers was compared with biomass estimates from midwater trawls. Euphausia pacifica was targeted among mixed species populations in the sound scattering layer in the offshore Funka Bay area of Hokkaido, Japan. The frequency characteristics of acoustic backscattering by krill were calculated using a distorted wave Born approximation scattering model at three frequencies. Krill aggregations identified from the EK60 data were extracted as the mean volume backscattering strength difference between two frequencies. They were then used to identify similar aggregations in the ADCP data by matching observation times and depths for the two methods, which were applied simultaneously. Results from the comparison of the mean volume backscattering strength and the density calculated from the ADCP and EK60 showed that ADCP can be used to measure density and spatial–temporal distribution of krill aggregations. Current speed and direction at the study site were found to be 16.1 cm/s and 187.0°, respectively, and krill speed and direction (including the current component) were found to be 19.8 cm/s and 172.2°, respectively. Based on the ADCP data, the net speed and direction of the krill aggregations were found to be 5.9 cm/s and 128.0°, respectively.