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。     

鲁西平原微咸水资源的开发意义

鲁西平原处于黄泛平原的尾闾地段,常受旱涝盐咸多种危害。本文分析了浅层微咸水的形成、水质及动态特征,对水质、水量进行了评价,探讨了开发利用微咸水的可能性及灌溉效益。农业上开采浅层微咸水,无疑对扩大地下水资源及促进鲁西平原水、土环境的良性循环有重大意义。     

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.     

污水灌溉对土壤重金属含量、酶活性和微生物类群分布的影响

以沈阳张士灌区长期污灌的农田土壤为对象,研究了土壤重金属、土壤酶活性、微生物生物量和种群分布特征,分析了土壤微生物参数与土壤重金属和土壤性质的相关关系.结果表明,虽然已停止污灌十余年,张士灌区农田土壤仍存在Cd、Zn、Cu等多种重金属污染.土壤Cd污染最严重,含量达1.75～3.89 mg·kg-1.土壤耕作层(0～30cm)Zn、Cu、Pb总含量随土层深度增加逐渐减少,而Cd元素的垂直分布呈向下迁移的趋势.Cd、Zn、Cu、Pb等4种重金属含量水平分布特征相似,均为1号样地＞2号样地＞3号样地＞4号样地.相关性分析表明,张士灌区土壤酶活性、微生物生物量和种群分布受重金属污染和土壤养分的影响,土壤养分含量(有机碳、N、P、K)对微生物的正面效应大于重金属对微生物的负面效应.土壤全量Cd和速效K对微生物参数的影响最为明显,Cd含量与多酚氧化酶活性和微生物生物量(Cmic)呈极显著负相关,与纤维素酶活性呈极显著正相关(P＜0 01),速效K含量与多酚氧化酶活性、微生物生物量以及可培养微生物种群数量均呈极显著正相关(P＜0.01).     

Health risks of heavy metals in contaminated soils and food crops irrigated with wastewater in Beijing, China

Consumption of food crops contaminated with heavy metals is a major food chain route for human exposure. We studied the health risks of heavy metals in contaminated food crops irrigated with wastewater. Results indicate that there is a substantial buildup of heavy metals in wastewater-irrigated soils, collected from Beijing, China. Heavy metal concentrations in plants grown in wastewater-irrigated soils were significantly higher (P相似文献   

陕北某化工企业周围污灌区土壤-作物系统重金属积累特征及评价

对陕西北部某化工企业污灌区土壤-作物系统的重金属积累状况及空间分布进行了深入研究.结果表明,污水排放导致了周围农田土壤中Cd和Cu的聚集,其中Cd的积累量超过国家土壤环境二级标准;土壤Cu、Zn和Pb的单因子污染指数均小于1,Cd的单因子污染指数为1.21,属轻度污染,4种重金属综合污染指数为0.74,属警戒线等级.在剖面上,所有重金属元素均表现出明显的表聚现象,主要聚集在土壤表层0~10 cm范围内,在空间分布上,污水排放企业污灌区土壤和作物重金属Cu、Zn和Cd的强烈聚集区出现在企业排污口附近100 m范围内,而Pb集中在200 m范围内,并随着距企业距离的增加重金属含量呈降低趋势.在企业污水灌溉的影响下,玉米籽粒中Cu、Pb和Cd的平均含量分别为4.74、0.129和0.036 mg·kg-1,明显高于对照区,其中Pb达到5.7%的超标率.玉米籽粒中重金属单因子污染指数均小于1,大小为PbCuZnCd,综合污染指数为0.53,属安全清洁等级;4种重金属元素中,除Cd在作物中与土壤中有效态和全量之间均呈现极显著的正相关关系外,其余元素作物中和土壤中含量相关性均未达到显著水平.因此,该化工企业周围,尽管由于污灌引起重金属在土壤中的累积,但由于在农作物中的积累有限,暂时未对人体健康造成威胁,但由于交通及烟尘引起的Pb的超标应引起重视.     

再生水利用健康风险暴露评价

结合北京市再生水利用工程,建立了再生水用于公园绿化、道路降尘和冲洗作业时,职业人群和公众的暴露评价方法和评价模型,通过现场调研和监测分析,首次提出了再生水利用暴露人群的再生水日摄入量和终生日均暴露剂量,为健康危险度分析提供定量依据.其中公园绿化职业人群通过皮肤和吸入的日均总摄入量为0.07L/d,公众为0.04～0.05L/d,消毒副产物的日均暴露剂量为:职业人群经呼吸途径终生日均暴露剂量为2.8×10^-7～1.2×10^-5mg·(kg·d)^{-1相似文献}   

土壤微生物群落结构对生活源和工业源再生水灌溉的差异化响应

为研究不同来源再生水灌溉对土壤微生物群落结构的影响,以地下水灌溉土壤为对照,采用Illumina MiSeq高通量测序技术对长期利用生活源和工业源再生水灌溉的土壤微生物群落结构进行分析,进一步探究土壤环境因子及其相互作用对微生物群落结构的影响.结果表明,与地下水灌溉相比,长期生活源再生水灌溉可显著提高土壤中TOC、 DOC、 Eh、 NH⁺₄-N和TP的含量,长期工业源再生水灌溉导致Cd、 Cr、 Cu、 Pb和Zn在表层土壤大量累积.再生水灌溉显著增加了土壤中Acidobacteria和Planctomycetes的相对丰度,降低了Firmicutes和Tectomicrobia的相对丰度,且不同来源再生水对土壤中功能微生物的影响不同,生活源再生水灌溉可显著增加Chloroflexi和Nitrospirae的相对丰度,而工业源再生水灌溉对Actinobacteria具有显著的抑制作用.db-RDA分析结果表明,生活源再生水灌溉土壤菌群主要受TN、 TP、 DOC和Eh影响(P<0.05),工业源再生水灌溉土壤菌群主要受重金属影响(P&...