生物多样性与地形及土壤因素对坡面产流产沙的耦合影响

生物多样性关系到生态系统的功能,而坡度和土壤因素是影响坡面产流产沙的重要因子。本研究基于黄土丘陵区生物多样性,并引入坡度、降雨前土壤含水量和土壤容重,探究其与坡面产流产沙总量的耦合关系。通过野外人工降雨试验,记录草本、灌木和乔木群落下的产流时间和产流产沙总量,并开展土壤植被调查。结果表明,与草本和乔木群落相比,灌木群落在延长产流开始时间和降低产沙总量上表现更优;植被群落功能离散度指数(FDiv)对产沙总量影响最大,Simpson指数(D)对产流总量影响最大,坡度仍然是不可忽视的第二重要影响因素;产流总量与坡度、土壤容重、D和功能丰富度指数(FRic)的回归关系优于产流总量分别与其的回归关系;产沙总量与坡度和FDiv指数的回归关系优于产沙总量分别与其的回归关系。植被保护与坡度改善将是该区水土保持规划工作的重点。     

实际道路车辆排放因子的测试方法

设计了一种实际道路上的车辆排放因子的测试方法,将一套车载实测系统安装在一辆机动车上进行测试研究,可以获得大量的实际道路上的行驶参数和排放原始数据,根据实测的汽车的瞬时车速、油耗以及各排放气体浓度值(HC,CO,NO,O2,CO2),可以计算得到各组分的质量排放率和排放因子。并通过这种测试方法,获得了试验用公交汽车的实际道路排放因子。     

GIS在农业水土领域的应用与研究进展

介绍了近年来国内外GIS在农业灌溉管理、精确农业和农业区划、土壤利用和土壤侵蚀方面的研究和应用情况，并对GIS在该领域的研究进行归纳和总结，此外探讨了GIS在当前农业领域应用的主要发展方向。     

参数投影寻踪模型在农村公路交通发展综合评价的应用

农村公路建设是农业和农村经济赖以发展的重要基础设施．是推进社会主义新农村建设的重要内容。通过对各个省份农村公路建设的综合评价，可以找出各地区农村公路发展规模的差距，并指出优先发展的指标。以往的评价多采用模糊综合评判技术，不可避免地存在人为赋予权重的干扰，导致评价结果的出入。为此，采用新兴的降维技术一投影寻踪评价模型，通过改进遗传算法来优化投影寻踪模型多维参数．建立了4省农村公路交通发展的基于改进遗传算法的参数投影寻踪综合评价模型。有效地克服了主观赋予权重的干扰．取得了满意效果；同时，指出了各个省份发展农村公路建设优先考虑的指标顺序，为该方面研究提供了新的思路与研究方法。     

CFD技术在水轮机转轮抗空蚀改造中的应用

CFD是用计算机来模拟流体的流场，建立流体机械最佳流道的流体动态分析软件，是当今先进的流体动力学模拟分析工具。介绍了CFD技术的理论基础，并且将其成功应用于锦江电站水轮机转轮的抗空蚀改造中，取得了良好的效果。     

地表秸秆覆盖度图像识别技术的研究

农田地表秸秆覆盖是防止水土流失的一项主要措施,研究秸秆覆盖度与土壤风蚀、水蚀的定量关系对农田采取合理的覆盖形式有重要的指导意义。针对当前主要靠手工测试秸秆覆盖度存在效率低的问题,研究了如何应用MATLAB语言强大的图像处理功能来识别、分析秸秆图像。通过对样本图像类型的转换、灰度的均衡化和中值滤波等一系列的处理,得出较准确的秸秆覆盖面积和秸秆覆盖百分比,为准确快速测量秸秆覆盖度提供了测试手段。     

Contribution of sewage sludge to erosion control in the rehabilitation of limestone quarries

The aim of this study was to evaluate the effects of high doses of municipal sludge on soil aggregation and to assess its value for soil erosion reduction, both under natural and in simulated rainfall conditions. Doses of 200 and 400 Mg ha⁻¹ sewage sludge (dry weight) were applied to the soil of experimental plots situated on a 28 degree slope. Two sludge application procedures were tested: pre-mixing into the soil before disposal on the slope, and direct application on the soil surface. Sheet erosion was measured by collecting the sediment carried down to a Gerlach trough situated at the base of the plots. Simulated rainfall, with an intensity of 64 mm h⁻¹, was applied to evaluate soil erodibility. When the soil had no vegetation, the erosion measured on plots treated with sludge represented less than 10 per cent of the erosion from the control plot. Even when the vegetation was well developed, the erosion was also lower in the plots where sludge had been applied. In simulated rainfall, the soil loss was inversely proportional to the sludge dose, and when sludge was applied directly on the soil surface the erosion rates and particle mobilization caused by raindrop impact were minimal. Sludge amendments increase infiltration rates and improve soil structure, increasing the mean weight diameter of aggregates and their water resistance.     

Using the RUSLE to identify factors controlling erosion rates of mine soils

Observable differences in particle size, smoothness and compaction between cap site (slope 2·8 per cent) and batter site (slope 20·7 per cent) surfaces on the waste rock dump at Ranger Uranium Mine were quantified in terms of revised universal soil loss equation (RUSLE) parameter values. Cap site surface material had a K_m (erodibility corrected for sediment density) of 0·030 and batter site surface material had a K_m of 0·0056. Using these K_m values (derived from particle size distributions), slope length and steepness (LS) factors of 0·36 for the cap site and 3·66 for the batter site, and a cover (C) factor of 0·45 for the cap site and 0·16 for the batter site, the RUSLE predicts an erosion rate from the cap site that is 1·9 times greater than erosion from the much steeper batter site. The RUSLE indicates that the finer particle size and blocky soil structure of the cap site (D₅₀ = 0·91 mm) compared with the looser granular structure of the batter site (D₅₀ = 1·74 mm) strongly influence erosion. The predictions are similar to observed soil losses from erosion plots on these sites under rainfall simulation events, for which the measured erosion rate from the cap site was approximately twice that from the batter site. For the RUSLE to predict the observed erosion rates, the support practice (P) factor for the cap site would have to be approximately 30 per cent greater than the P factor for the batter site. The higher cap site P factor probably results from smoothing and compaction caused by vehicle movement across the surface. Compaction is considered to have greatly reduced infiltration capacity, thus increasing the erodibility of the cap site. Vehicles probably also crushed the surface material at the cap site, creating the observed finer particle size distribution and further increasing the erodibility. Compaction, through its effects on erodibility (K_m) and surface roughness (P), is concluded to be the major cause of higher erosion from the cap site, even though the slope steepness is 10 times less. Parameterisation of the RUSLE quantifies the differences between sites and explains the unexpected erosion rates observed. The results highlight the need for careful management of rehabilitated sites to avoid increases in erosion which may arise from compaction by machinery.