Information Network Topologies for Enhanced Local Adaptive Management

We examined the principal effects of different information network topologies for local adaptive management of natural resources. We used computerized agents with adaptive decision algorithms with the following three fundamental constraints: (1) Complete understanding of the processes maintaining the natural resource can never be achieved, (2) agents can only learn by experimentation and information sharing, and (3) memory is limited. The agents were given the task to manage a system that had two states: one that provided high utility returns (desired) and one that provided low returns (undesired). In addition, the threshold between the states was close to the optimal return of the desired state. We found that networks of low to moderate link densities significantly increased the resilience of the utility returns. Networks of high link densities contributed to highly synchronized behavior among the agents, which caused occasional large-scale ecological crises between periods of stable and high utility returns. A constructed network involving a small set of experimenting agents was capable of combining high utility returns with high resilience, conforming to theories underlying the concept of adaptive comanagement. We conclude that (1) the ability to manage for resilience (i.e., to stay clear of the threshold leading to the undesired state as well as the ability to re-enter the desired state following a collapse) resides in the network structure and (2) in a coupled social–ecological system, the systemwide state transition occurs not because the ecological system flips into the undesired state, but because managers lose their capacity to reorganize back to the desired state. An erratum to this article can be found at .     

BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS1

ABSTRACT: Water scarcity in the Sevier River Basin in south‐central Utah has led water managers to seek advanced techniques for identifying optimal forecasting and management measures. To more efficiently use the limited quantity of water in the basin, better methods for control and forecasting are imperative. Basin scale management requires advanced forecasts of the availability of water. Information about long term water availability is important for decision making in terms of how much land to plant and what crops to grow; advanced daily predictions of streamflows and hydraulic characteristics of irrigation canals are of importance for managing water delivery and reservoir releases; and hourly forecasts of flows in tributary streams to account for diurnal fluctuations are vital to more precisely meet the day‐to‐day expectations of downstream farmers. A priori streamflow information and exogenous climate data have been used to predict future streamflows and required reservoir releases at different timescales. Data on snow water equivalent, sea surface temperatures, temperature, total solar radiation, and precipitation are fused by applying artificial neural networks to enhance long term and real time basin scale water management information. This approach has not previously been used in water resources management at the basin‐scale and could be valuable to water users in semi‐arid areas to more efficiently utilize and manage scarce water resources.     

长江口地区的盐水入侵灾害及变化趋势

本文在总结长江口地区现状盐水入侵时空变化规律的基础上,着重分析了在未来海平面上升、长江东线南水北调和三峡水利枢纽工程以及长江口北支综合整治等因素影响下,南支河段盐水入侵强度的变化趋势。     

新发展阶段我国企业水信息披露评价研究

推动绿色发展,促进人与自然和谐共生是我国社会主义建设新时期的重点方向与方略。绿水青山就是金山银山,水信息披露作为治理企业水污染的首要环节、重要手段,在国内还未充分引起企业与有关部门的重视。本文通过构建中国上市公司水信息披露指标体系,弥补了我国多年来在水信息披露评价体系中的不足。基于该指标体系,结合三维度打分法、层次分析法和内容分析法,本研究人工搜集整理既往企业水信息并从披露整体情况、披露水平以及披露内容三个方面分析了我国上市企业水信息披露现状。结果表明,现阶段我国企业水信息披露还存在披露程度低、披露差异明显、披露内容可靠性不强等问题,其根源来自政府政策滞后、社会面监督不充分、企业战略缺失等因素。为此,本文从健全水信息披露框架、完善法律制度、落实法律监督、建立新闻发布制度、引导金融机构参与等方面为推动企业水信息披露提供建议。     

饮用水生物处理中微生物量和活性的测定方法

微生物量和微生物活性是饮用水生物处理工艺设计与运行的重要参数。总结论述了适用于表示饮用水生物处理过程生物膜中微生物数量和活性的几种主要指标的测定方法。     

柚园间种作物及施用不同有机肥对土壤与柚果的影响

柚树间种短期经济作物在提高柚园经济效益的同时,还可提高土壤的有机质和N、P、K养分质量分数,改善柚园小区气候,增加有机肥来源。间种物残余体作为绿肥,可显著地提高柚果产量和质量。     

迎接地震观测技术的新变革

回顾了地震观测技术发展的三个阶段及其特点。简要总结了随着这几个阶段的技术进步南京基准地震台观测技术的重要变革 ,并从记录地震事件数量、大地震速报作用和推动某些研究的深入等方面评估了由于这些技术进步所带来的地震台效能的提高。对目前地震观测技术从模拟观测向数字观测的转折时期 ,地震台如何尽快过渡 ,充分发挥效能提出了初步对策。     

底泥中重金属毒性的室内孔隙水分析技术

根据孔隙水中重金属的浓度可以判定底泥中重金属的毒性但获得真正的底泥孔隙水十分困难。本文提供了一套简便易行的室内原状孔隙水取样技术,将碳化硅砂芯埋入底泥,添加表层水并静置９０ｄ,通过渗滤获得孔隙水,测定孔隙水中重的浓度,所得结果与微生态系统暴露试验中生物指示的重金属的毒性大小相吻合,与生物积累重金属的浓度显著正相关。     

亚铵法制浆黑液作肥料对水环境影响的研究

通过亚铵法制浆蒸煮黑液直接作农肥施于水稻田的研究,给出了不同施肥方式连续数天田间水和渗滤水中黑液污染物变化情况,定量描述了黑液作肥料直接施于水稻田对水环境的影响。     

室内空气品质评价系统研究

本文提出了进行室内空气品质评价的一个系统,其中的评价方法选用综合评价方法。