辽东湾两侧砂质海岸侵蚀灾害与防治

自20世纪60年代至90年代，由于多种原因，辽东湾东西两侧的初始沙质海岸侵蚀范围逐年扩大，侵蚀不断加剧，给当人民的生产和生活带来严重危害。由多年监测资料发现，侵蚀严重的熊岳岸线以2～4m／a的速率而大幅度后退，特别严重的地区最大后退达10km；辽西绥中某些岸段平均每年后退1～2m。20世纪90年代后期，由于一些海域管理措施的出台和相应的海岸防护工程的建设，海岸侵蚀逐渐减弱。通过现场调查和多年监测，分析了辽东湾东西两侧砂质海岸侵蚀的特点，认为海岸组成物质松散与海岸动力作用强烈是本区现代海岸侵蚀的基本条件，人为活动是关键因素，并提出了海岸侵蚀灾害的防治对策。     

贵州鹅项水库沉积物特征及其土壤侵蚀的意义

对位于贵州西南部非喀斯特丘原区的鹅项水库中取得的一沉积物样芯（EX-1）做了¹³⁷Cs,TOC,C/N和粒度分析以及矿物磁性测量。通过对这些分析和测量结果进行解译,推测了在过去的45年（1960～2005年）中这一水库的汇水流域内土壤侵蚀强度的相对变化。在这45年中,鹅项水库流域的土壤侵蚀经历了由弱到强再持续减弱的一个过程。将这一推测结果与流域内降水数据和土地利用/覆被变化资料数据相结合,探究了该流域土壤侵蚀强度变化的原因。与贵州西南部典型喀斯特流域的情况相比,在鹅项流域内,土地利用/覆被变化情况对土壤侵蚀强度的影响相对次要,而降水对土壤侵蚀强度变化的影响则更为重要。这可能主要因为与典型喀斯特流域相比,鹅项流域的土层较厚、植被覆盖较好。     

辽宁铁岭市土壤侵蚀时空演变研究

近年来,人为活动的加剧造成铁岭地区水土流失日益严重。本文采用遥感和GIS技术,以部颁标准SL190-96对铁岭地区1991年和2001年的土壤侵蚀情况进行研究,并结合1986年和1996年的土壤侵蚀调查数据,分析了铁岭地区近15年来土壤侵蚀强度的时空变化,结果表明铁岭地区在此期间土壤侵蚀面积缓慢增长,其中强度侵蚀面积在1986~1996年间持续增长,2001年明显下降;中度侵蚀面积在1986~1996年间持续下降,2001年则明显增强;空间分析显示明显恶化的区域有西丰、开原和清河区,具明显改善的为铁岭县,而昌图和调兵山地区基本保持稳定。今后该区水保的重点应放在强度侵蚀的治理,以及土壤侵蚀等级增强的区域。     

RUSLE及其影响因子的快速计算分析

RUSLE是目前应用最广泛的土壤侵蚀模型。虽然是一种经验模型,但是其影响因子计算仍然非常复杂,满足不了区域土壤侵蚀的快速提取要求。针对这种状况,文章在介绍RUSLE手册中每个影响因子计算方式基础上,分析总结了可进行快速计算的方法,实验表明,采用文章推荐的因子计算方式,可达到快速有效的目的。     

About the specification of erosion flux for soft stratified cohesive sediments

The present paper deals with the specification of bed erosion flux that accounts for the effects of sediment-induced stratification in the water column. Owing to difficulties in measuring the bed shear stress _b and the erosive shear strength _s, we suggest a series of methods that combine laboratory and numerical experiments. A simplified turbulent transport model that includes these effects helps to quantify _b and _s. Focusing on soft stratified beds, the present study considers erosion rate formulas of the form =_f exp {[T_b-T_s]} where is a model constant (=1 for Gularte's (1978) formula and =1/2 for Parchure's (1984) formula). First, the bed erosive strength profile _s(Z) is adjusted by forcing the turbulent transport model with measured erosion rates. Second, three procedures are suggested to determine the erosion rate formula coefficients _f and : a global procedure and two different layer-by-layer procedures. Each procedure is applied to an erosion experiment conducted in a rotating annular flume by Villaret and Paulic (1986). The use of the layer-by-layer procedure based on a least squares fitting technique provides a closer fit than the global procedure. The present study points out the complementarity of experimental and numerical approaches and also suggests possible improvements in laboratory test procedures.     

The mass accommodation coefficient of ammonia on water

The mass accommodation coefficient of ammonia gas on water has been determined by measuring the absorption rate of 50–200 ppm NH₃ in one atm of air or helium into a liquid jet of 97 µm diameter as function of the exposed jet length, and comparing the results with numerical simulations which treat as the only free parameter. The model considers in detail transport of NH₃ by molecular diffusion, penetration of the gas/water interface, hydrolysis in the acidified water, and transport of the solutes from the surface into the jet. A correction is applied for the time evolution of the jet surface speed, using literature data on the fluid mechanics of liquid jets. The result of nine sets of independent measurements is

Trace gas exchange at the air/water interface: Measurements of mass accommodation coefficients

A liquid jet of 90 m diameter and variable length has been utilized to determine absorption rates and, hence, mass accommodation coefficients , of atmospheric trace gases. The compounds investigated are HCl (0.01), HNO₃ (0.01), N₂O₅ (0.005), peroxyacetyl nitrate (>0.001), and HONO (0.005). It is concluded that the absorption of these trace gases by liquid atmospheric water is not significantly retarded by interfacial mass transport. The strengths and limitations of the liquid jet technique for measuring mass accommodation coefficients are explored.     

Airborne gamma-ray spectrometry to quantify chemical erosion processes

Airborne gamma-ray spectrometry data (uranium, potassium and thorium contents) reveal geochemical heterogeneities within the monolithological Hyrôme watershed (ca. 150 km²) in the Armorican massif (western France). Our observations and computations provide important constraints on the spatial distribution and the associated magnitudes of chemical erosion processes at the scale of a small watershed. Two distinct, partially preserved, weathering profiles exhibit a strong correlation between regolith evolution and airborne-derived K/Th ratios, suggesting that the variability is linked to supergene processes. Using both airborne data and laboratory measurements on rock samples, the total net export of potassium has been estimated at 422 ± 50 kg/m² and the chemical weathering rate of potassium at 17 ± 2 kg/km²/a.     

A Decision Support System for the Evaluation of Eco-engineering Strategies for Slope Protection

A decision support system (DSS) has been developed to assist expert and non-expert users in the evaluation and selection of eco-engineering strategies for slope protection. This DSS combines a qualitative hazard assessment of erosion and mass movements with a detailed catalogue of eco-engineering strategies for slope protection of which the suitability is evaluated in relation to the data entered. The slope decision support system (SDSS) is a knowledge based DSS in which knowledge is stored in frames containing rules that can evaluate the available information for a project, stored as project specific information (PSI) in a data file. The advantages of such a system are that it accepts incomplete information and that the qualitative nature of the information does not instil the user with a sense of unjustified exactitude. By its multidisciplinary and progressive nature, the DSS will be of value during the initial stages of an eco-engineering project when data collection and the potential of different eco-engineering strategies are considered. The accent of the output of the DSS is on the application of eco-engineering strategies for slope protection as an environmentally-friendly solution aiding sustainable development. For its acceptance within the engineering community, the DSS needs to prove its predictive capacity. Therefore, its performance has been benchmarked against successful and unsuccessful cases of slope stabilisation using eco-engineering. The target audience and the areas of application of this DSS are reviewed and the strategies for further development in this area suggested.