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.     

Biofilm structure and its influence on clogging in drip irrigation emitters distributing reclaimed wastewater

Using reclaimed wastewater for crop irrigation is a practical alternative to discharge wastewater treatment plant effluents into surface waters.However,biofouling has been identified as a major contributor to emitter clogging in drip irrigation systems distributing reclaimed wastewater.Little is known about the biofilm structure and its influence on clogging in the drip emitter flow path.This study was first to investigate the microbial characteristics of mature biofilms present in the emitters and the effect of flow path structures on the biofilm microbial communities.The analysis of biofilm matrix structure using a scanning electron microscopy (SEM) revealed that particles in the matrix of the biofilm coupled extracellular polysaccharides (EPS) and formed sediment in the emitter flow path.Analysis of biofilm mass including protein,polysaccharide and phospholipid fatty acids (PLFAs) showed that emitter flow path style influenced biofilm community structure and diversity.The correlations of biofilm biomass and discharge reduction after 360 h irrigation were computed and suggest that PFLAs provide the best correlation coefficient.Comparatively,the emitter with the unsymmetrical dentate structure and shorter flow path (Emitter C) had the best anti-clogging capability.By optimizing the dentate structure,the internal flow pattern within the flow path could be enhanced as an important method to control the biofilm within emitter flow path.This study established electron microscope techniques and biochemical microbial analysis methods that may provide a framework for future emitter biofilm studies.     

沈阳市地铁疏干水的利用探析

针对沈阳市地铁疏干水利用的现状,综合考虑沈阳市的实际情况,总结出地铁疏干水利用的几种方法,主要包括作为运河、湖泊的补换水源,用于修复、重建湿地,农业灌溉用水以及作为水源热泵的水源等。提出沈阳市地铁疏干水利用的指导思想和法律保障。     

排水造林对小兴安岭湿地土壤溶解性有机碳生物降解和淋溶的影响

以小兴安岭湿地为研究对象,分析了不同年代排水造林的森林沼泽湿地土壤溶解性有机碳(DOC)含量变化及生物降解特征,探讨了排水造林时间对土壤DOC及无机氮(NH+4-N+NO-3-N)淋溶动态变化的影响.结果表明:1排水造林时间对土壤DOC含量变化影响显著(p0.05).2003年(PS03)、1992年(PS92)、1985年(PS85)排水造林后的人工兴安落叶松湿地土壤DOC含量均低于未排水造林的天然兴安落叶松苔草湿地(XATC),且排水造林时间越长,土壤DOC含量越少.2在生物降解过程中,土壤DOC的变化趋势表现为初期降解速率较快,而后逐渐减慢并趋于稳定.其中周转时间为1 d的易降解DOC所占比重表现为:PS92XATCPS03PS85,表明排水时间达到一定阈值后,易降解DOC部分可能会转化为难降解部分.3在淋溶过程中,随着淋溶次数的增加,淋出液中DOC含量呈现为先增加后减小的趋势,淋溶1 d后,不同年代排水造林的森林沼泽湿地土壤DOC的淋失率表现为:PS85PS92PS03XATC,表明排水造林时间越长,土壤DOC淋失率越大,因此长时间的排水造林改造可能进一步影响土壤养分的贮量及其有效性.     

再生水灌溉对苜蓿生长及养分吸收的影响

论文在盆栽条件下,研究了再生水灌溉对苜蓿(Medicago sativa L.cv.‘Algonquin’)生长及养分吸收的影响。试验设置了清水、再生水两种灌水类型,高、中、低3个不同灌水水平。结果表明:同一灌水类型条件下,苜蓿植株生长高度随灌水量减少而降低,同一灌水水平下,灌溉水类型对植株高度无明显影响;不同的灌水水平对植株侧枝数的影响差异不显著,但灌溉水类型对植株侧枝数影响差异显著,所有处理中再生水高水平灌溉侧枝数增幅最大;与清水相比,再生水灌溉能显著增加苜蓿干物质产量;在苜蓿生长前期,再生水灌溉对苜蓿根系生长具有阻碍作用;灌溉水类型对苜蓿植株体内吸收氮、磷、钙、镁吸收量的影响主要在其生长前期,灌溉水类型对苜蓿体内钾含量无明显影响。     

基于面积-高程积分的地下水动态分析——以泾惠渠灌区为例

为了研究泾惠渠灌区的地下水动态特征,探讨面积-高程积分在地下水动态分析中的可行性,利用ArcGIS空间分析工具计算了灌区地下水面积-高程积分数据,绘制了不同时期的地下水面积-高程积分曲线,分析了灌区地下水水位与储存量动态特征。结果显示:1978?—?2012年,泾惠渠灌区地下水面积-高程积分值为0.46、0.44、0.38、0.39,表明地下水水位与储存量整体呈下降趋势;1991?—?2012年,410.00?—?446.19 m水位区间面积由1978年的2.54下降为0,342.51?—?360.00 m水位区间面积多年持续增加,中等水位区间存在演化差异性,反映出不同时期地下水开发强度具有空间变异性;以1978年为基准,至2012年地下水储存量减少约7.08×10~8 m~3;降水、地表水引水量、人工开采是影响泾惠渠灌区地下水动态的重要因素,补排失衡是引起灌区地下水储存量下降的主要原因。研究表明:面积-高程积分曲线可以表征地下水水位空间结构特征和储存量的变化情况,利用面积-高程积分值能够近似估算地下水储存量变化量,证明了面积-高程积分在地下水动态研究中具有一定的实用性。     

天津污灌区苯并(a)芘的分布和迁移通量模型

建立了估算苯并 (a)芘在天津污灌区气、水、土壤及沉积物相间的迁移通量和浓度分布的逸度模型框架 ,利用通量资料作为模型输入 ,利用实测浓度数据验证了模型的可靠性 .结果表明 ,模型对大气、地表水、土壤和沉积物中浓度的估算大体吻合 ,沉积物和土壤是苯并 (a)芘的主要环境归宿 ,而大气中的平衡浓度相对较低 ,水体及土壤中的苯并 (a)芘可能通过作物和鱼体富集而进入生态系统 .     

考虑松动圈影响的钻孔瓦斯抽放合理封孔长度确定研究

以王行庄矿11071工作面为工程试验地点,通过超声波和钻孔窥视现场测试,结合理论计算,开展了瓦斯抽采煤巷松动圈范围和瓦斯抽放钻孔合理封孔长度确定的研究。确定了王行庄11071工作面二1煤层围岩卸压区宽度为8.87 m,极限平衡区宽度为9.87 m,合理封孔深度为10 m;通过极限平衡法理论计算得到的结果与超声波法、钻孔窥视法的测试结果基本相符。     

Integrated Risk Framework for Onsite Wastewater Treatment Systems

Onsite wastewater treatment systems (OWTS) are becoming increasingly important for the treatment and dispersal of effluent in new urbanised developments that are not serviced by centralised wastewater collection and treatment systems. However, the current standards and guidelines adopted by many local authorities for assessing suitable site and soil conditions for OWTS are increasingly coming under scrutiny due to the public health and environmental impacts caused by poorly performing systems, in particular septic tank-soil adsorption systems. In order to achieve sustainable onsite wastewater treatment with minimal impacts on the environment and public health, more appropriate means of assessment are required. This paper highlights an integrated risk based approach for assessing the inherent hazards associated with OWTS in order to manage and mitigate the environmental and public health risks inherent with onsite wastewater treatment. In developing a sound and cohesive integrated risk framework for OWTS, several key issues must be recognised. These include the inclusion of relevant stakeholders throughout framework development, the integration of scientific knowledge, data and analysis with risk assessment and management ideals, and identification of the appropriate performance goals for successful management and mitigation of associated risks. These issues were addressed in the development of the risk framework to provide a generic approach to assessing risk from OWTS. The utilisation of the developed risk framework for achieving more appropriate assessment and management techniques for OWTS is presented in a case study for the Gold Coast region, Queensland State, Australia.     

基于物化生化耦合的污水深度脱氮除磷新工艺

为了解决常规污水处理技术无法进行完整的硝化反硝化过程,污水厂出水中氨氮、总氮、总磷偏高以及运行成本较高的问题,以某污水厂排水为研究对象,通过物化与生化耦合,构建化学催化生物耦合床(CCBF)脱氮系统,研究CCBF系统对污水厂排水中氨氮、总氮、总磷和COD的去除效能。结果表明：当DO为5.5~6.0 mg·L⁻¹、RT为8 h、C/N为1.5∶1时,CCBF可将${\rm{NH}}_4^{+} $-N从48.5 mg·L⁻¹降至4.58 mg·L⁻¹、TN从51.2 mg·L⁻¹降至6.5 mg·L⁻¹、TP从6.6 mg·L⁻¹降至0.48 mg·L⁻¹、COD从78.5 mg·L⁻¹降至33 mg·L⁻¹,去除率分别达到89.5%、85.7%、92.5%和57.9%;污水经处理后,氨氮、总氮、总磷、COD均达到城镇污水处理厂污染物排放标准(GB 18918-2002)一级A排放标准。利用Eckenfelder方程对系统脱氮过程进行模拟,求得${n_{{\rm{NH}}_4^ +{\text{-}} {\rm{N}}}} $=0.314 76,n_TN=0.282 21,${K_{{\rm{NH}}_4^ +{\text{-}} {\rm{N}}}} $=0.128 02,K_TN=0.218 59,与水力负荷为0.000 8~0.007 m³·(m²·min)⁻¹的常规生物处理相比,系统内部生物量充足、活性高,物化与生物耦合强化效果明显。