Using environmental heterogeneity to plan for sea‐level rise

Environmental heterogeneity is increasingly being used to select conservation areas that will provide for future biodiversity under a variety of climate scenarios. This approach, termed conserving nature's stage (CNS), assumes environmental features respond to climate change more slowly than biological communities, but will CNS be effective if the stage were to change as rapidly as the climate? We tested the effectiveness of using CNS to select sites in salt marshes for conservation in coastal Georgia (U.S.A.), where environmental features will change rapidly as sea level rises. We calculated species diversity based on distributions of 7 bird species with a variety of niches in Georgia salt marshes. Environmental heterogeneity was assessed across six landscape gradients (e.g., elevation, salinity, and patch area). We used 2 approaches to select sites with high environmental heterogeneity: site complementarity (environmental diversity [ED]) and local environmental heterogeneity (environmental richness [ER]). Sites selected based on ER predicted present‐day species diversity better than randomly selected sites (up to an 8.1% improvement), were resilient to areal loss from SLR (1.0% average areal loss by 2050 compared with 0.9% loss of randomly selected sites), and provided habitat to a threatened species (0.63 average occupancy compared with 0.6 average occupancy of randomly selected sites). Sites selected based on ED predicted species diversity no better or worse than random and were not resilient to SLR (2.9% average areal loss by 2050). Despite the discrepancy between the 2 approaches, CNS is a viable strategy for conservation site selection in salt marshes because the ER approach was successful. It has potential for application in other coastal areas where SLR will affect environmental features, but its performance may depend on the magnitude of geological changes caused by SLR. Our results indicate that conservation planners that had heretofore excluded low‐lying coasts from CNS planning could include coastal ecosystems in regional conservation strategies.     

水中微量铝的间接原子吸收法测定

在ＨＡｃ－ＮａＡｃ缓冲溶液（ｐＨ４．５）体系中，利用（１－（２－萘酚（ＰＡＮ），Ａｌ＾３＾＋与Ｃｕ＾２＾＋－ＥＤＴＡ发生定量交换反应，用氯仿萃取出Ｃｕ＾２＾＋－ＰＡＮ，用原子吸收法测定水中的Ｃｕ＾２＾＋，以间接测定ＡＬ＾３＾＋。方法的最佳线性范围为０．１－１．０ｍｇ／Ｌ，最低检出浓度为０．１ｍｇ／Ｌ；测定河水，饮用水，地下水中的Ａｌ＾３＾＋，其回收率在８５．０％－１０９％之间，变异系数为１．５％－     

海域有机污染物优先排序和风险分类模糊评判系统

本文提出了对区域性有机污染物优先排序和风险分类和定量评判系统：模糊评判系统。该评判系统以反映污染物的毒性，暴露水平和环境化学性质的７项碜数为指标，通过指标参数的标准化及模糊运算，获得有机污染优先排序和风险分类的定量结果。     

汕头港水域温排水热扩散的三维数值模拟

本文建立了汕头港水域温排水扩散的三维数学模型，并采用特征差分方法求其解，对该法在三维情况下的稳定作了推导，给出了判断公式，上述模型被应用于汕头热电厂废热水排放的环境影响评价中，实例计算表明，该模型算法程序简单，计算结果合理。     

对排海污染物实行“纳污区”管理探讨

我国近海是经济增长和发展最重要和最集中的区域。然而,随着沿海工业的发展,大量未经处理的陆源污染物随间排海,沿岸水域形成“黑潮”、“赤潮”致使我国近海海域污染加剧,生态平衡失调,严重影响了海域资源环境的可持续发展。     

广东沿岸海域生物可利用性重金属的地理分布

利用牡蛎做监测生物，研究了广东沿岸海域生物可利用性重金属Ｃｄ，Ｃｕ和Ｚｎ的地理分布。牡蛎体的Ｃｄ，Ｃｕ和Ｚｎ含量存在着显著的地域差异，反映了广东沿岸海域生物可利用性的Ｃｄ，Ｃｕ和Ｚｎ在地域上存在很大的梯度。由牡蛎显示出的广东沿岸海域生物可利用性重金属的地理分布与广东沿岸海域受人为来源的重金属输入状况相一致，如实地反映了广东沿岸海域重金属污染的基本特征。     

海水水质评价的倍斜率隶属函数聚类法

建立了宽域式倍斜率聚类的海水水质评价模式，其函数的右侧斜度为左侧斜率的２倍，勿求权重，直接聚类，海水水质评价实例说明，本文模糊综合评判法和灰色聚类法和更为合理，实用。     

海水水质评价的物元分析法

为了探索物元分析方法用于海水水质综合评价的可能性，通过计算海不水质对各评论评价等级的综合关联度，进行海水水质综合评价。用物元分析法对５个监测站位的海水水质进行评价，结果表明它用于海水水质综合评价是可行的。     

汕头港湾附近水域潮流特征和污染物扩散的数值计算 Ⅰ汕头港湾附近水域潮流特征及数值模拟

汕头港湾附近水域的潮流特征，由于拦沙堤的建成及港池附近河道变窄而发生了一些变化。本文在取得现场实测资料的基础上，采用沿深度平均的二维浅水潮波方程，对该水体的潮流场进行了数值模拟计算，重现出潮流场在一个潮周期中的变化过程，分析潮流对污染扩散的作用。     

水深变化对波高与周期联合概率密度分布影响的分析

本文研究了水深的变化以波高与周期联合概率密度分布造成影响。本文将２３６组实测数据按水深因子Ｈ的大小进行了分组，分别对其进行了谱分析和统计分析，得到了各组数据的联合分布图。利用数值模拟的方法扩大水深因子的变化幅度，得到了模拟联合分布图。研究发现，水深因子的改变不会对联合分布构成大的影响，因此得现一般水的波高与周期联合概率密度分布模式适用于浅海的结论。