Land User Participation in Developing a Computerised Decision Support System for Combating Desertification

Combating desertification in natural rangelands has recently become a priority in large parts of southern Africa. Rangeland managers, farmers, scientists, conservationists and land users have been applying a variety of restoration technologies to address this problem. Bush encroachment, as part of the desertification process, involves the natural replacement of the herbaceous plant cover by undesirable problem woody species. The active and passive restoration technologies that are applied, are mainly based on indigenous knowledge and include the chemical, mechanical or manual reclamation of unproductive rangelands, as well as the combating of woody and alien species encroachment. Indigenous practices and knowledge play a major role in the effectiveness and success rate of these technologies. This project faces the challenge of bringing together both local and scientific knowledge in a single user-friendly, computerised Decision Support System (DSS) which is directly accessible by land users to support them in the process of decision making, concerning the combating of desertification. Case studies from central and northern Namibia were used to combine qualitative and quantitative data to develop this Decision Support System. The DSS currently consists of two databases and an expert system, which evaluates the results of land users’ management practices, and provides easily accessible information and advice for participants in the system, based on the incorporated data. The DSS is also linked to national and international web sites and databases to offer a wider range of information on technologies concerning agricultural and conservation practices.     

Biological complexity confounds the separation of point- and non-point sources of human impact on the natural world

Identifying process from pattern is one of the most vexing tasks inenvironmental monitoring. Given information on the distribution of speciesin a pre-defined area, together with comprehensive data on how environmentalconditions in that area have altered through time, is it possible toidentify the factors controlling the species‘ layout? Here, the practicalsignificance of this quandary is demonstrated using a series ofenvironmentally-degraded coastal lagoons in New South Wales. The TuggerahLakes (33°17′S,151°30′E) have over the last 50 yearsexperienced significant changes in species‘ distributions. Seagrasses,macroalgae, phytoplankton, molluscs, prawns and the jellyfish Catostylus mosaicus have altered in spatial pattern. Two human activitieshave been blamed for these perturbations: (1) agricultural clearance ofnative vegetation from the catchment, with associated input of top-soil andnutrients; (2) the commissioning of a coal-fired power station in 1967, withmassive uptake and recirculation of lake water for cooling purposes. In thispaper, spatial changes in macrophyte distributions over the last 50 yearsare reviewed in an attempt to identify the true source(s) of perturbation.The model adopted assumes that the power station is a point source of impactwhile nutrient inputs from the catchment are a diffuse source of impact;changes in species distributions can hypothetically be related back to thesesources according to whether they are localised or widespread. However,after a comprehensive analysis of available macrophyte data derived frominterviews, aerial photography and line transect methodologyies theconclusion is reached that changes in biogeographical pattern around theTuggerah Lakes cannot be attributed to specific anthropogenic pressures atanything beyond the coarsest of levels. This is considered to be the normfor most coastal management situations where natural background variation(’noise‘) and the complexity of linkages between physical, chemical andbiological components confounds the identification of causal relationships.The practical implications of this conclusion are discussed in the contextof litigation and remedial management design. Emphasis is placed on theneed to adopt an adaptive approach to estuarine management, incorporatingexplicit recognition of the limitations of available data, and to developnew techniques for identifying cause-effect relationships.     

沿江施工产生悬浮物对环境影响分析

通过对太仓港围滩吹填工程施工过程泥浆水的采样分析，研究涉及工程施工过程泥浆扩散和演变规律；进而评价吹填工程施工引起悬浮物的增加对水质、水生生物和鱼类的影响。     

BP人工神经网络预测邻苯二甲酸酯光化学降解

将反向传播人工神经网络（BP－ANN）用于邻苯二甲酸酯类化合物的光化学降解的预测中，选取正交设计的试验点作为反向传播人工神经网络的训练集，实现对全实验域试验点的预测，并与实测的试验数据比较。结果表明反向传播人工神经网络（BP－ANN）具有良好的预测能力。     

基于人工神经网络的行业无害化生产能力评价模型研究

利用BP前向人工神经网络方法 ,建立了一种全新的基于人工神经网络的行业无害化生产能力评价模型 ,该模型采用动量梯度下降反向传播和学习速率自适应调整相结合的训练学习算法。最后 ,以造纸及纸制品业为例 ,对中国各省市造纸行业的无害化生产能力进行评价 ;并进一步分析中国各省造纸行业无害化生产能力的时空分布规律 ,为我国行业规划、布局决策提供科学依据。     

金鱼藻对Cu2+的生物吸附特征

研究了沉水植物金鱼藻对Cu2 的吸附动力学及热力学特征.结果表明,金鱼藻对Cu2 的吸附在20min内达到平衡,吸附动力学的实验结果符合伪二级动力学方程,其相关系数达到0.9937,表明该吸附为多种反应同时作用的复杂过程.用Langmuir和Freundlich2种吸附等温式拟合吸附热力学的实验结果表明,以Langmuir模型拟合效果更好,相关系数为0.9977,其最大吸附量为7.79mg/g.在解吸实验中,各浓度组的解吸率均在1%以下,表明金鱼藻对Cu2 的吸持作用较强.     

混凝研究中的界面过程化学:IPF-颗粒物-水溶液的相互作用

仅以IPF 颗粒物 水溶液的相互作用为例 ,对混凝研究中二界面过程化学领域的进展加以介绍 .研究结果表明 ,经过预制的聚合铝在混凝过程中表现出较好的形态稳定性 ,而传统混凝剂则强烈地受溶液化学过程 ,尤其是溶液pH值的影响 .混凝剂水解聚合形态倾向于在颗粒物表面吸附沉积 ,而直接引发混凝作用 .单体形态则通过转化为聚合、沉淀形态起混凝作用     

基于神经网络的压铸合金选择

在归纳总结压铸合金选择经验和知识的基础上 ,对压铸合金性能进行评价。采用BP神经网络方法建立了快捷的压铸合金材料选择系统 ,提出了一种将模糊化性能要求量化 ,增加训练样本集的方法。     

Progress in the research on aquatic environmental nonpoint source pollution in China

ＰｒｏｇｒｅｓｉｎｔｈｅｒｅｓｅａｒｃｈｏｎａｑｕａｔｉｃｅｎｖｉｒｏｎｍｅｎｔａｌｎｏｎｐｏｉｎｔｓｏｕｒｃｅｐｏｌｕｔｉｏｎｉｎＣｈｉｎａＢａｏＱｕａｎｓｈｅｎｇ，ＭａｏＸｉａｎｑｉａｎｇ，ＷａｎｇＨｕａｄｏｎｇＩｎｓｔｉｔｕｔｅｏｆＥｎｖｉｒｏ...     

锌镉还原法的海水硝酸盐浓度

按照《海洋调查规范》(1991)中锌镉还原法 ,用三对基体来配制NO3 -标准溶液 :NaCl水 (31gNaCl加纯水至 1L)与无氮东海海水ECS、《海洋调查规范》(1991)人工海水SAS(NaCl水加MgSO4)与ECS和Strick land Parsons(1972 )人工海水SP72 (SAS加NaHCO3 )与ECS。经测定 ,且忽略标准曲线方程的截距 ,纯水与ECS的NO3 -还原率比为 0 .2 6 6 ,NaCl水与ECS的比为 0 .70 6 ,SAS与ECS的比为 0 .90 1,而SP72与ECS的比则为1.0 0 9。显然 ,用ECS和等价的SP72定出的值最接近天然海水中NO3 -的浓度。由《海洋调查规范》(1991)SAS定出的浓度须乘上 0 .90 1～ 0 .95 6后才接近海水中NO3 -浓度。