东山湾贝类养殖容量的估算

以初级生产力为基础，应用营养动态模式和沿岸海域能流分析模型，估算东山湾贝类年生产量分别为269331t和295767t，平均282549t。扣除潮间带、潮下带和吊养区浮筏、随着基及延绳上附着的非养殖滤食性附着动物自然现存量35760t，贝类可养殖量为246789t。应用统计分析和逻辑斯谛种群增长模型估计贝类可养面积为11839hm^2，其中缢蛏635hm^2，石蛎1160hm^2,吊蛎1525hm^2，翡翠贻贝633hm^2，菲律宾蛤仔1154hm^2，扇贝698hm^2，江瑶248hm^2，泥蚶601hm^2，巴非蛤4151hm^2，凸壳肌蛤1034hm^2。1998年实际养殖面积和养殖产量分别为10581hm^2和220564t。尚有1258hm^2,26225t的扩大开发潜力。文中还讨论了合理布局和优化养殖结构问题。     

Sustainable shellfish aquaculture in Saldanha Bay,South Africa

The carrying capacity for bivalve shellfish culture in Saldanha Bay, South Africa, was analysed through the application of the well-tested EcoWin ecological model, in order to simulate key ecosystem variables. The model was set up using: (i) oceanographic and water-quality data collected from Saldanha Bay, and (ii) culture-practice information provided by local shellfish farmers. EcoWin successfully reproduced key ecological processes, simulating an annual mean phytoplankton biomass of 7.5 µg Chl a l^–1 and an annual harvested shellfish biomass of about 3 000 tonnes (t) y^–1, in good agreement with reported yield. The maximum annual carrying capacity of Small Bay was estimated as 20 000 t live weight (LW) of oysters Crassostrea gigas, or alternatively 5 100 t LW of mussels Mytilus galloprovincialis, and for Big Bay as 100 000 t LW of oysters. Two production scenarios were investigated for Small Bay: a production of 4 000 t LW y^–1 of mussels, and the most profitable scenario for oysters of 19 700 t LW y^–1. The main conclusions of this work are: (i) in 2015–2016, both Small Bay and Big Bay were below their maximum production capacity; (ii) the current production of shellfish potentially removes 85% of the human nitrogen inputs; (iii) a maximum-production scenario in both Big Bay and Small Bay would result in phytoplankton depletion in the farmed area; (iv) increasing the production intensity in Big Bay would probably impact the existing cultures in Small Bay; and (v) the production in Small Bay could be increased, resulting in higher income for farmers.     

Prediction of Load Carrying Capacity of Corroded Reinforced Concrete Beam

A novel method for prediction of the load carrying capacity of a corroded reinforced concrete beam (CRCB) is presented in the paper. Nine reinforced concrete beams, which had been working in an aggressive environment for more than 10 years, were tested in the laboratory. Comprehensive tests, including flexural test, strength test for corroded concrete and rusty rebar, and pullout test for bond strength between concrete and rebar, were condueted. The flexural test results of CRCBs reveal that the distribution of surface cracks on the beams shows a fractal behavior. The relationship between the fractal dimensions and mechanical properties of CRCBs is then studied. A prediction model based on artificial neural network (ANN) is established by the use of the fractal dimension as the corrosion index, together with the basic intbrmation of the beam. The validity of the prediction model is demonstrated through the experimental data, and satisfactory resuits are achieved.     

辽宁省水资源承载能力的探讨分析

分析了辽宁省水资源的现状和开发利用程度,探讨了辽宁省水资源的承载能力。总结出辽宁省水资源严重短缺;水资源开发利用程度高;水资源供需矛盾突出;未来对水资源的需求量将不断增大,采取切实措施,实现水资源可持续利用,为辽宁的经济发展提供支撑,为东北老工业基地振兴战略的实施提供保障。     

我国水资源承载力研究现状及展望

概要说明了我国水资源承载力的研究现状,阐述了水资源承载力的概念、内涵及影响因素,探讨了目前几种常用的水资源承载力评价方法,并对当前研究中存在的问题进行了初步分析,进而提出了我国水资源承载力的研究趋势。     

城市水环境承载能力研究

针对人类高强度活动区——城市水资源系统特点和存在的水环境问题,探讨城市水环境承载能力和水资源承载能力的概念及内涵;提出了计算城市水环境承载能力的"控制目标反推模型"(COIM模型),该模型主要包括:城市污染物排放量计算、控制断面径流量计算、控制断面水质指标计算、控制目标方程和城市水环境承载能力计算;以郑州市为应用范例,介绍城市水环境承载能力计算模型应用及水环境调控对策制定.     

基于模糊识别的水资源承载能力综合评价

应用模糊识别模型解决水资源承载能力综合评价问题,根据水资源承载能力相关因子自身的数据结构特性,通过模糊识别模型得到样本的级别特征值,从而达到对待评价区域的识别、归类,同时可以得到各相关因子在评价过程中的贡献率,实例部分将模型应用于全国30个省市、自治区的水资源承载能力评价,结果表明该方法的实用性和客观性。     

关于水资源承载力理论与方法的研究

本文首先明确了水资源承载力的基本概念 ,指出可持续发展理论、水 -生态 -社会经济复合系统理论、二元模式下的水文循环机制和过程是水资源承载力研究的理论基础 ,对水资源承载力研究的基本内容、评价指标体系的建立和评价方法进行了较全面的概括和总结。     

旅游心理容量的测定——以武陵源黄石寨景区为例

旅游容量是旅游规划和管理中的重要工具之一。该文引入边际满意度的概念,提出了旅游心理容量的满意度模型,并且以武陵源黄石寨景区为实证研究,进行了旅游心理容量的测定。