Biological treatment of clogged emitters in a drip irrigation system

This study was conducted to investigate microbial organisms that can be used for preventing clogging in drip irrigation systems caused by biological factors. A total of 25 fungi isolate and 121 bacterial strains were isolated from water samples collected from drip irrigation systems in tomato greenhouses in the eastern Anatolia region of Turkey in the spring season of 2001. Biological clogging of emitters in a model drip irrigation system was experimentally caused by application of the microorganisms (fungi and bacteria) isolated in the study. Three antagonistic bacterial strains in the genus Bacillus spp (ERZ, OSU-142) and Burkholdria spp (OSU-7) were used for treatment of biological clogging of the emitters. The results showed that the antagonistic bacterial strains tested have the potential to be used as anti-clogging agents for treatment of emitters in drip irrigation system. This is the first study that demonstrated that antagonistic microorganisms can be utilized for treatment of clogging in drip irrigation systems.     

再生水灌溉利用的生态风险研究进展

污水再生回用因其具有显著的社会、经济及生态效益,已成为缓解水资源危机的一项重要举措.城市绿地和农业灌溉作为再生水的主要利用途径之一,在国内外已经得到广泛推广实践.为了解国内外在再生水灌溉利用风险方面的研究进展,本文围绕再生水典型污染物包括盐、氮、重金属和新型污染物、病原菌等,从对土壤质量、植物生长、地下水质量和公众健康等几方面,对再生水灌溉利用的生态风险进行了系统分析.结果表明,盐分及盐离子是再生水灌溉利用的主要风险,灌溉利用导致疾病传播的风险始终存在,而新型污染物的生态风险是科学研究热点.借鉴国外经验,分别就城市绿地和农业的灌溉提出了风险管理措施.最后,提出了加强长期定位研究和模型研究,建立再生水水质、灌溉管理与生态风险的有机关联,进行再生水灌溉土壤承载力评价和建立风险管理体系等5项建议,以促进再生水安全利用.     

模型模拟再生水灌溉对土壤水盐运动的影响

随着水资源供需矛盾日益尖锐,污水再生利用成为了缓解北京水资源紧缺的重要举措.为推动北京再生水安全灌溉,本研究运用ENVIRO-GRO模型模拟缺水城市北京再生水灌溉土壤水盐运动规律,并对土壤盐分累积进行预测,探讨了不同灌溉措施对土壤水盐运动规律和盐分累积的影响.结果表明,高水量、常规、低水量灌溉,平衡时土壤含盐量（ECe）年均值分别增加了29.5%、97.2%、197.8%;灌溉频率对土壤水盐运动规律影响不大,但低频灌溉下土壤中盐分的累积有减少的趋势;灌溉水含盐量（ECw）为0.6、1.2、2.4 dS.m-1灌溉条件下,平衡时ECe的年均值分别增加了23.7%、97.2%、208.5%,自来水灌溉下土壤盐分虽有增加,但土壤未出现盐渍化.总的来说,目前北京常规再生水灌溉,平衡时土壤盐分累积不会影响早熟禾的生长,但土壤会出现轻度盐渍化.     

河套灌区土壤水和地下水动态变化及水平衡研究

为探究田间土壤水及地下水在不同作物种植区、不同灌期等情况下的动态变化规律与水平衡特征,以春小麦、玉米、向日葵为典型作物,在河套灌区选取4块2亩的试验田,于2009年4-11月采集田间土壤及地下水样品进行研究.结果表明,不同作物地块间土壤含水率的变化差别主要集中在5-9月的作物生长期.夏灌灌水量不足,土壤含水率呈下降趋势,田间土壤水分变化属于“蒸腾蒸发消耗型”;秋浇期内水量充足,各地块各土层含水率均明显增加,田间土壤水分呈“入渗补给型”.各地块地下水埋深月均变化趋势基本一致,由于优先流的存在,地下水对灌溉降水响应快.本文定量研究了区域土壤水和地下水的变化规律,揭示了灌区水平衡要素间的相互转换关系,可为灌区科学合理的水资源管理提供理论依据.     

淠河灌区集中式饮用水源地水质健康风险等级研究

为了解淠河灌区集中式饮用水源地水质健康风险状况,选取Cr6+、As、Cd、Pb、Mn、Cu、Zn、Fe、F、NH+4-N等10项污染因子作为健康风险指标,运用三角模糊集理论和α-截集技术,确立置信度为0.8,得到各污染指标的健康风险区间值;同时建立模糊化特征的风险等级判别标准和判别方法.结果表明,该水源地水质总健康风险值为4,风险等级为Ⅳ级(一般).3种化学致癌物Cr6+、As、Cd合计风险区间值介于5.586×10-5~9.365×10-5之间,风险由高到低的顺序依次为:Cr6+AsCd,浓度在空间上变化不大,具有一定的负面效应,但均未超过美国环保署推荐的最大可接受水平1.0×10-4;Cr6+风险区间值较大,风险等级较高,应将Cr6+作为首要的健康风险管理控制指标.其余7种非致癌化学有毒物没有风险,不存在负面效应,非致癌健康风险明显低于致癌风险.     

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.     

Spatial and Seasonal Response of Municipal Water Use to Weather across the Contiguous U.S.

Weather variability has the potential to influence municipal water use, particularly in dry regions such as the western United States (U.S.). Outdoor water use can account for more than half of annual household water use and may be particularly responsive to weather, but little is known about how the expected magnitude of these responses varies across the U.S. This nationwide study identified the response of municipal water use to monthly weather (i.e., temperature, precipitation, evapotranspiration [ET]) using monthly water deliveries for 229 cities in the contiguous U.S. Using city‐specific multiple regression and region‐specific models with city fixed effects, we investigated what portion of the variability in municipal water use was explained by weather across cities, and also estimated responses to weather across seasons and climate regions. Our findings indicated municipal water use was generally well‐explained by weather, with median adjusted R² ranging from 63% to 95% across climate regions. Weather was more predictive of water use in dry climates compared to wet, and temperature had more explanatory power than precipitation or ET. In response to a 1°C increase in monthly maximum temperature, municipal water use was shown to increase by 3.2% and 3.9% in dry cities in winter and summer, respectively, with smaller changes in wet cities. Quantifying these responses allows urban water managers to plan for weather‐driven variability in water use.     

Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

We apply predictive weather metrics and land model sensitivities to improve the Colorado State University Water Irrigation Scheduler for Efficient Application (WISE). WISE is an irrigation decision aid that integrates environmental and user information for optimizing water use. Rainfall forecasts and verification performance metrics are used to estimate predictive rainfall probabilities that are used as input data within the irrigation decision aid. These input data errors are also used within a land model sensitivity study to diagnose important prognostic water movement behaviors for irrigation tool development purposes simultaneously performing the analysis in space and time. Thus, important questions such as “how long can a crop water application be delayed while maintaining crop yield production?” are addressed by evaluating crop growth stage interactions as a function of soil depth (i.e., space), rainfall events (i.e., time), and their probabilistic uncertainties. Editor’s note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

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.     

污水直接膜过滤用于农灌可行性试验

本试验尝试用膜直接截留污水中对人体健康有害的细菌病毒,而保留水中对作物有益的氮、磷等营养元素,以期实现水、肥双成分资源化。试验结果表明,无论是微滤膜还是超滤膜均对细菌及粪大肠菌有很高的截留率(99.9%～99.999%),污水中有机物、氮与磷的保留率分别为32%～67%、72%～78%和60%～62%。用渗滤液灌溉的小麦较之清水灌溉和常规灌溉的小麦,麦穗单重分别提高13%和7.5%。