毛蚶人工育苗技术

根据对毛蚶性腺发育、产卵孵化、浮游幼虫及稚贝习性等的研究，初步探索了其人工育苗中主要技术环节。2龄毛蚶全为雄性或雌雄同体，3龄以上群体雌性占70％以上。26．6～27．4℃，受精卵22h发育到D形幼虫；26．5～23．0℃，D形幼虫经过15天发育到眼点幼虫；25．O～20．0℃，投附着基、13天左右稚贝壳长达到600μm时，可以出池到室外进行中间育成。     

海口湾人工填海前后冲淤演变数值模拟

为了解近年的人工填海工程主要包括南海明珠项目、葫芦岛、秀英港扩建工程等人工填海工程对海口湾冲淤变化的影响,基于FVCOM海洋数值模型,对研究区人工填海前后潮流场、波浪场及冲淤变化进行了数值模拟。人工填海后,综合各条件下的冲淤情况,海口湾受潮流和波浪共同作用大部分区域处于淤积状态,年淤积量预测值为0.1~1.0m;白沙角等局部区域处于侵蚀状态,年冲刷量预测值为0.1~0.3m;受海口湾人工填海工程的影响,秀英港航道的水动力条件减弱,对通航条件改善有利,需加强航道的水深监测和定时的清淤工作;在南海明珠人工岛南侧波影区泥沙堆积会形成向海的舌状的突出体,其两侧海岸形成侵蚀后退带,需人工补沙等措施以保证岸线稳定。     

Remote sensing of water depths in shallow waters via artificial neural networks

Determination of the water depths in coastal zones is a common requirement for the majority of coastal engineering and coastal science applications. However, production of high quality bathymetric maps requires expensive field survey, high technology equipment and expert personnel. Remotely sensed images can be conveniently used to reduce the cost and labor needed for bathymetric measurements and to overcome the difficulties in spatial and temporal depth provision. An Artificial Neural Network (ANN) methodology is introduced in this study to derive bathymetric maps in shallow waters via remote sensing images and sample depth measurements. This methodology provides fast and practical solution for depth estimation in shallow waters, coupling temporal and spatial capabilities of remote sensing imagery with modeling flexibility of ANN. Its main advantage in practice is that it enables to directly use image reflectance values in depth estimations, without refining depth-caused scatterings from other environmental factors (e.g. bottom material and vegetation). Its function-free structure allows evaluating nonlinear relationships between multi-band images and in-situ depth measurements, therefore leads more reliable depth estimations than classical regressive approaches. The west coast of the Foca, Izmir/Turkey was used as a test bed. Aster first three band images and Quickbird pan-sharpened images were used to derive ANN based bathymetric maps of this study area. In-situ depth measurements were supplied from the General Command of Mapping, Turkey (HGK). Two models were set, one for Aster and one for Quickbird image inputs. Bathymetric maps relying solely on in-situ depth measurements were used to evaluate resultant derived bathymetric maps. The efficiency of the methodology was discussed at the end of the paper. It is concluded that the proposed methodology could decrease spatial and repetitive depth measurement requirements in bathymetric mapping especially for preliminary engineering application.     

鞍带石斑鱼工厂化育苗研究

作者设计了一种新的鞍带石斑鱼(Epinephelus lanceolatus)工厂化人工育苗方法。测定了鞍带石斑鱼人工育苗过程中水环境因子和育苗水体浮游生物的种类、数量变化。育苗期间水温28.0～30.7℃;盐度为27.0～32.0;pH值为7.39～7.90;溶氧量6mg/L以上;中午池面平均光照3315.9lx;记录了1d的光照、水温、溶解氧和pH的变化;育苗池前18d只加水不换水,氨氮不断上升,最低值0.24mg/L,最高值2.53mg/L,育苗后期采取换水措施,氨氮迅速下降;育苗期间,水体除正常投喂的轮虫(Brachionus plicatilis)和桡足类外,池中出现浮游植物12种、浮游动物5种,浮游植物平均生物量6.92×106个/L,原生动物平均生物量0.74×106个/L。经过34d的培养,得到平均全长2.45cm鱼种,单位水体育苗密度300尾/m3,育苗成活率为2.73%。结果表明,用有效微生物群(effective microorganisms,简称EM)+高级虾片调节水质的模式,可以保持育苗水质稳定,成功培育出鞍带石斑鱼幼鱼。     

马氏珠母贝种苗规模化繁育新技术及工艺

对马氏珠母贝人工育苗换水、投附着基和饵料等关键环节进行了研究。结果表明:(1)不换水组的D形幼虫及壳顶幼虫的存活率,稚贝育成率以及D形幼虫、壳顶幼虫及稚贝壳长日生长率比换水组分别提高了15.3%、259.6%、186.5%、33.3%、34.2%、12.4%,且差异显著;(2)第1、2次投附着板组的稚贝壳长日生长率均比一次性投附着板组快,第3次投附着板组的壳长日生长率比其他所有组均慢,且差异均显著。多次投附着板组的同一批次稚贝均匀度均比一次性投附着板组好,且多次投附着板组比一次性投附着板组的稚贝育成率提高了32.5%,稚贝存活率提高了19.3%,采苗量提高了35%;(3)投喂虾塘水组稚贝存活率、育成率及壳长日生长率比投喂50%自溶酵母+50%小球藻组分别提高了28.1%、47.2%、35.9%,而投喂这两种不同饵料的稚贝阴干后的存活率差异不显著。研究表明,通过封闭不换水育苗、多次投附着板及投喂虾塘水中的生态饵料的方法可以高效地培育出健康的马氏珠母贝种苗。     

石羊河下游人工梭梭林土壤呼吸变化特征及其与水热因子的关系

土壤呼吸不仅是反映土壤生物活性的重要指标,也是全球碳循环研究中备受关注的热点问题。在地处典型干旱区的石羊河下游,以流动沙丘和去除土壤结皮人工梭梭林为对照,采用LI-8100土壤碳通量监测系统研究了栽植约40 a、30 a、10 a和5 a的人工梭梭林生长季和非生长季的土壤呼吸日变化,并分析了土壤水分和温度对土壤呼吸的影响。结果表明：（1）不同林龄梭梭林生长季和非生长季土壤呼吸速率的日变化均为明显的单峰曲线,且呈现出一定的波动性,日最大排放速率出现在12:00～14:00时,最小值出现在8:00时左右。（2）梭梭林营造和去结皮处理显著提高了沙漠土壤呼吸速率,而且不同林龄土壤呼吸速率大体上随着种植年限的增加而递增,表现为MC >40 a>30 a>10 a>MS >5 a,非生长季表现为MC >40 a>10 a>5 a>30 a>MS。（3）不同林龄梭梭林土壤呼吸速率均具有明显的季节变化特征,生长季（8 月）的土壤呼吸作用明显强于非生长季（1月）。（4）相关性分析表明,生长季和非生长季土壤呼吸均与0～5 cm土壤水分显著相关,且均呈二次曲线关系,分别为Y =-0.205 8X ²+0.946 5X-0.316 6（R ² =0.506 ²,P= 0.041 7）和Y= 0.118 7 X ²+0.156 3X+0.118 8（R ²=0.675 7,P =0.001 1）;但与10 cm土壤温度的相关性不显著,土壤水分是影响人工梭梭林土壤呼吸的关键因素。该研究进一步证明了人工梭梭林的营造有效改善了沙漠土壤的生物活性,提高了土壤碳通量水平,以土壤结皮破坏为基本特征的人工梭梭林退化和沙漠化必然在短期内加剧碳排放。因此,需要在沙漠地区合理营造人工林,并在造林和林业管理过程中注意保护土壤结皮,以减少CO²排放。     

Hybrids between olive flounder Paralichthys olivaceus and stone flounder Kareius bicoloratus: karyotype, allozyme and RAPD analyses

The hybrid between olive flounder Paralichthys olivaceus and stone flounder Kareius bicoloratus was produced by artificial insemination of olive flounder eggs with stone flounder Sperm. Sinistral and dextral are two types of hybrid progeny after metamorphosis. Karyotypes of both hybrid flounders are the same as those of the two parental species. Of the 22 loci examined from 12 allozymes,12 confirmed hybridization of the paternal and matemal loci in hybrids and no difference was found in allozyme patterns of sinistral and dextral hybrid fishes. RAPD patterns of these specimens were also studied with 38 primers selected from 104 tested. Among them, the PCR products of 30 primers showed hybridization of the paternal and maternal bands. Genetic variation between hybrids and their parental stocks was analyzed by RAPD using 10 of the above 38 primers. The average heterozygosity and genetic distance were calculated. The results suggested that the filial generation could inherit a little more genetic materials from paternal fish than that from maternal fish.     

Ecosystem health assessment of Honghu Lake Wetland of China using artificial neural network approach

Honghu Lake, located in the southeast of Hubei Province, China, has suffered a severe disturbance during the past few decades. To restore the ecosystem, the Honghu Lake Wetland Protection and Restoration Demonstration Project (HLWPRDP) has been implemented since 2004. A back propagation (BP) artificial neural network (ANN) approach was applied to evaluatinig the ecosystem health of the Honghu Lake wetland. And the effectiveness of the HLWPRDP was also assessed by comparing the ecosystem health before and after the project. Particularly, 12 ecosystem health indices were used as evaluation parameters to establish a set of three-layer BP ANNs. The output is one layer of ecosystem health index. After training and testing the BP ANNs, an optimal model of BP ANNs was selected to assess the ecosystem health of the Honghu Lake wetland. The result indicates that four stages can be identified based on the change of the ecosystem health from 1990 to 2008 and the ecosystem health index ranges from morbidity before the implementation of HLWPRDP (in 2002) to middle health after the implementation of the HLWPRDP (in 2005). It demonstrates that the HLWPRDP is effective and the BP ANN could be used as a tool for the assessment of ecosystem health.     

丽水地区地质灾害的人为因素分析与非工程性防治措施

丽水地区是浙江省地质灾害最严重的地区之一,近年来有多个县（市）发生了多起重大地质灾害事故,并遗留有多处灾害隐患点。从统计汇总上看,人为因素在丽水地区地质灾害发育及形成中起着十分重要的作用。本文分析了人为因素在地质灾害形成中的作用方式和途径,地质灾害的社会特性,并提出了非工程性防治措施。     

滑坡变形预测灰色神经网络耦合模型的构建及适用性分析

结合灰色模型和神经网络的数据处理特点,提出串联、并联和混联式3种结构的灰色神经网络滑坡变形预测模型。串联式将滑坡变形位移时序分解为趋势项和随机项,采用灰色模型提取滑坡位移时序趋势,利用神经网络逼近随机波动;并联式以灰色模型和神经网络分别对滑坡预测,采用智能非线性组合,按照预测目标精度动态调整权重,从而获取最终组合预测结果;混联式通过增加灰白化层及灰模型群,对神经网络拓扑结构进行优化,达到弱化滑坡原始监测数据随机性、提高预测模型稳健性的目的。将3种模型应用于古树屋滑坡变形预测,并对其适用性进行讨论。结果表明,3种结构的灰色神经网络耦合模型均提高了预测精度,适用于复杂状况下滑坡体的变形预测。