Critical depths for passage in braided rivers,Canterbury, New Zealand

Riffles and points of divergence of branch channels in braided rivers are critical controls upon passage of fish and recreational boats because they are points at which depths are at a minimum. Depths on randomly selected riffles were measured in braided reaches of the Ashley, Hurunui, and Rakaia Rivers and related to discharge; minimum depths encountered in extended reaches of these rivers at a range of flows have also been measured. The data can be used to predict minimum available passage depths at a specified flow, or conversely, to predict the discharge required to maintain a specified minimum passage depth. However, presently available estimates of critical minimum depths required for various instream uses (migration of salmonids, jetboating) appear excessively conservative, and minimum depth requirements must be more accurately determined before instream flow needs can be properly assessed.     

Northern Adriatic phytoplankton response to short Po River discharge pulses during summer stratified conditions

A 275‐km‐long transversel Northern Adriatic profile from the mouth of the Po River (Italian Adriatic coast) to the Kvarner region (Croatian coastal island area) was investigated in three successive case studies in August 2008, 2009 and 2010. The short Po River pulses in August result in the surface advection of riverine water, nutrients and phytoplankton from the western to the eastern side of the Adriatic. This surface spreading exhibits inter‐annual variability depending on the riverine discharge in the preceding period. The Po River discharge pulse in August 2010 in particular resulted in an extraordinary tongue‐like advection of riverine water, nutrients, and phytoplankton towards the Eastern Adriatic coast. The phenomenon was detected using both satellite imagery and classical oceanographic measurements. In the advective water, toxic dinoflagellates were most abundant in August 2010, when the influence of the Po was greatest.     

辽东湾西部海域秋季大型底栖动物的群落结构特征

2009年10月在辽东湾西部海域进行了14个站位的大型底栖动物调查,共发现大型底栖动物99种,其中多毛类44种,软体动物13种,甲壳动物39种,其他类群3种.调查海域内IRI指数排名前十位的种中,多毛类和甲壳动物各占60%和40%,其中前三位的是日本双边帽虫(Amphictene japonica)、二齿半尖额涟虫(Hemileucon bidentatus)和滩拟猛钩虾(Harpiniopsis vadiculus).调查海域内大型底栖动物的总平均丰度为2387.1个/m2,总平均生物量为11.16 g/m2,整个调查海域内大型底栖动物呈现出高丰度低生物量的现状.调查海域内大型底栖动物的香农-威纳多样性指数为0.8881~4.626,平均值为3.556;丰富度指数为1.197~5.474,平均值为3.426;均匀度指数为0.213~0.9248,平均值为0.7714.以40%的相似性尺度,取样站可被划分为5个大型底栖动物站组.通过大型底栖动物多样性分析,本文认为该海域的底栖生态状况良好.     

1998～2010年夏季台湾海峡西部沿岸海水遥感透明度的年际变化

通过比较分析不同的透明度卫星遥感算法,提出将一个基于固有光学特性的、适用于沿岸海域的算法应用于台湾海峡西岸海域,反演获得1998～2010年SeaWiFS遥感透明度时间序列.根据这组时间序列数据,发现该海域夏季透明度低值(<4 m)年份出现在1998、2001和2006年,高值(最高值达到10 m)年份出现在1999、2004和2010年.控制这一年际变动的因素,以目前有限的数据来看,主要是径流与上升流共同引发的水华强度的变化.此外,该海域透明度在研究时段内没有呈现一定的变化趋势,甚至在2006年之后,似乎在持续加深,说明海峡西岸活跃的经济活动,在1998～2010的13 a间,暂时没有对沿岸水质产生显著的破坏性的影响.     

2006～2007年福建沿岸海域石首鱼类资源量时空变化

基于2006～2007年福建沿岸海域4个航次的底拖网调查,分析了福建沿岸海域石首鱼科鱼类的资源现状.结果表明:4个航次共捕获石首鱼类16种,其中春季捕获石首鱼类10种,夏季和冬季均捕获14种,秋季捕获12种.不同航次捕获的石首鱼类占所有鱼类总渔获量的比例为10.43%～23.23%,平均15.71%.平均资源密度和平均个体密度分别为81.49 kg/km2和3 663.06 ind./km2.平均资源密度和平均个体密度均以秋季最高,分别为130.02 kg/km2和5 702.64 ind./km2.闽东沿岸海域、闽江口及其附近海域、闽中沿岸海域和厦门沿岸海域石首鱼类的全年平均资源密度分别为70.75、96.23、22.54和84.57 kg/km2.在各种石首鱼类中,叫姑鱼(Johnius belengerii)的资源密度和个体密度最大,其次是丁氏(Wak tingi).叫姑鱼的相对重要性指数最高,为871.01,仅叫姑鱼为优势种.与近20 a前的调查资料相比较,石首鱼类的渔获量占鱼类总渔获量的比例升高,但资源密度显著下降,必须采取措施,避免开发强度的继续增加,以利于其资源的可持续利用.     

浅议建筑边坡工程技术规范中的若干规定

现行《建筑边坡工程技术规范》存在着一些争议。规范中规定适用范围可为岩石基坑,但很多条款是针对边坡工程的,对基坑工程不适用,建议适用范围不要扩大到基坑;规定临时性边坡使用年限为2年,已不满足工程建设要求,建议提高为5年;几个术语定义不准确,宜重新定义;适用边坡高度及边坡安全等级已不满足工程建设要求,建议适当调整;滑塌区范围估算公式意义不大且有缺陷,建议取消;对坡率法适用范围限制过于严格,建议放宽;查坡率表设计法已过时,建议取消;规定锚杆基本试验时可将锚固段长度减短,但这样得到的极限粘结强度值偏高,将导致工程设计不安全,不能减短;锚杆验收试验标准不明确且应用困难,建议按相关原则重新编写等等。这些意见供规范修编时参考。     

砂土地基的黏性特性及其有限元模拟

采用非线性弹塑黏性有限元法模拟了砂土地基变速率加载室内试验,再现了砂土地基荷载-沉降曲线对加载速率突变、砂土蠕变以及应力松弛等加载情况下的响应和瞬时黏性中砂土黏性随加载进行的衰减现象。在有限元分析中,以非线性三要素模型为理论框架构建了可以综合考虑砂土黏性特性的弹塑黏性本构模型,用动态松弛法进行有限元求解,最后通过有限元与室内试验的对比分析研究了砂土地基所具有的黏性特性,同时验证了非线性三要素弹塑黏性模型用于模拟砂土黏性特征的合理性和正确性。     

接入实时降雨数据的暴雨型洪涝灾害临灾预警方法

针对现有暴雨型洪涝灾害预警方法时效性差的问题,提出了一种接入实时降雨数据的暴雨型洪涝灾害临灾预警方法。根据时序分析模型由历史降雨数据和实时降雨数据分析识别异常降雨,并将异常降雨、地形起伏、高程和河网因素作为影响因子,构建暴雨型洪涝灾害风险指数,以"日"为时间尺度进行短时暴雨型洪涝灾害风险分析。从异常降雨致灾角度出发,根据降雨的异常程度将暴雨型洪涝灾害风险等级划分为无风险、低风险、中风险、中高风险和高风险5个等级,进而实现临灾预警,为防灾减灾提供一定的参考信息。以广东省清远市2014年5月的洪涝灾害为例,接入5月21日至5月26日期间逐日降雨量数据,实现了临灾风险分析。实验结果表明,六日内清远市阳山县中下区域发生暴雨洪涝灾害的风险较大,与实际灾情相吻合,达到了较好的预警效果。     

An insight into the performance of benthic classification indices tested in Eastern Mediterranean coastal waters

This work evaluates four indices that have been used for benthic macroinvertebrate ecological quality classification in the Mediterranean Sea. Our study was based on the data obtained from the participation of Greece and Cyprus in the Mediterranean Geographical Intercalibration group. The indices AMBI, M-AMBI, MEDOCC and BENTIX were applied to the available benthic species data, and the succession of the ecological groups along the graded values of each index was plotted. The level of agreement among methods was calculated, and the performance of each method in estimating ecological quality status was evaluated. AMBI, based on the Atlantic model, and its derivative M-AMBI overestimated the statuses, while MEDOCC showed the best level of agreement with BENTIX. BENTIX gives equal weight to tolerant and opportunistic species groups, which correlates them more closely than the other indices and makes BENTIX the most sensitive in detecting ecological disturbances in the Eastern Mediterranean basin, where tolerant and opportunistic groups seem to play an equally important role in the response of benthic communities to stressors.     

Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman,near‐infrared and green signals

Airborne light detection and ranging (LiDAR) bathymetry appears to be a useful technology for bed topography mapping of non‐navigable areas, offering high data density and a high acquisition rate. However, few studies have focused on continental waters, in particular, on very shallow waters (<2 m) where it is difficult to extract the surface and bottom positions that are typically mixed in the green LiDAR signal. This paper proposes two new processing methods for depth extraction based on the use of different LiDAR signals [green, near‐infrared (NIR), Raman] of the SHOALS‐1000T sensor. They have been tested on a very shallow coastal area (Golfe du Morbihan, France) as an analogy to very shallow rivers. The first method is based on a combination of mathematical and heuristic methods using the green and the NIR LiDAR signals to cross validate the information delivered by each signal. The second method extracts water depths from the Raman signal using statistical methods such as principal components analysis (PCA) and classification and regression tree (CART) analysis. The obtained results are then compared to the reference depths, and the performances of the different methods, as well as their advantages/disadvantages are evaluated. The green/NIR method supplies 42% more points compared to the operator process, with an equivalent mean error (?4·2 cm verusu ?4·5 cm) and a smaller standard deviation (25·3 cm verusu 33·5 cm). The Raman processing method provides very scattered results (standard deviation of 40·3 cm) with the lowest mean error (?3·1 cm) and 40% more points. The minimum detectable depth is also improved by the two presented methods, being around 1 m for the green/NIR approach and 0·5 m for the statistical approach, compared to 1·5 m for the data processed by the operator. Despite its ability to measure other parameters like water temperature, the Raman method needed a large amount of reference data to provide reliable depth measurements, as opposed to the green/NIR method. Copyright © 2010 John Wiley & Sons, Ltd.