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.     

Influence of particle size on the aggregation behavior of nanoparticles: Role of structural hydration layer

More and more attention has been paid to the aggregation behavior of nanoparticles, but little research has been done on the effect of particle size. Therefore, this study systematically evaluated the aggregation behavior of nano-silica particles with diameter 130–480 nm at different initial particle concentration, pH, ionic strength, and ionic valence of electrolytes. The modified Smoluchowski theory failed to describe the aggregation kinetics for nano-silica particles with diameters less than 190 nm. Besides, ionic strength, cation species and pH all affected fast aggregation rate coefficients of 130 nm nanoparticles. Through incorporating structural hydration force into the modified Smoluchowski theory, it is found that the reason for all the anomalous aggregation behavior was the different structural hydration layer thickness of nanoparticles with various sizes. The thickness decreased with increasing of particle size, and remained basically unchanged for particles larger than 190 nm. Only when the distance at primary minimum was twice the thickness of structural hydration layer, the structural hydration force dominated, leading to the higher stability of nanoparticles. This study clearly clarified the unique aggregation mechanism of nanoparticles with smaller size, which provided reference for predicting transport and fate of nanoparticles and could help facilitate the evaluation of their environment risks.     

预腐蚀条件下不同孔数冷挤压强化7075-T6铝合金板件疲劳寿命退化规律

目的 研究腐蚀环境下单孔和多孔冷挤压强化铝合金板件的疲劳寿命退化规律和损伤机理。方法 针对2种不同孔距的三孔冷挤压强化7075-T6铝合金板件,采用模拟热带海洋大气环境的实验室加速腐蚀谱,开展不同腐蚀时间下的预腐蚀疲劳试验。结果 获得了3倍孔距的三孔挤压强化铝板以及单孔挤压强化铝板的C(t)曲线、疲劳S-N曲线和损伤形貌特征,分析了腐蚀后挤压强化试件的腐蚀机理及挤压强化作用。同时,将不同孔数试件的试验结果进行比较,探明了孔数对挤压强化铝板腐蚀和疲劳性能的影响。结论 腐蚀后挤压强化铝合金板件的疲劳性能发生显著退化,腐蚀损伤主要为剥蚀,疲劳裂纹萌生位置由孔边转移至表面。挤压孔数量对挤压强化铝合金板件的疲劳和腐蚀疲劳性能的影响较小。     

ERT技术在无机酸污染场地调查中的应用

利用高密度电阻率法对硫酸废液污染的场地进行污染调查,由于硫酸废液侵入土壤,使其介质的溶质浓度发生了改变,导致SO₄2-与地表潜水作用,电传导性提高,被污染土壤含盐量增加,但是电阻率降低与未被硫酸废液侵入的土层形成了一定的电性差异. 通过二维和三维电阻率层析成像(ERT)技术,圈定硫酸废液侵入土壤中的分布范围、侵蚀深度以及扩散羽流等,并对ERT结果进行土工试验异常验证. 结果表明:硫酸废液污染土壤的视电阻率小于6.0 Ω·m,污染区域长度达25.0 m,深度约4.0 m;地表土污染长度为12.0 m,表面宽度约4.0 m,污染土壤的总体积约为222.0 m3.      

垂直潜流人工湿地堵塞微观概念模型的提出

根据垂直潜流人工湿地发生堵塞的成因主要是基质层中不可滤物质积累的结论,在分析垂直潜流人工湿地堵塞物形态及成分粒径的基础上,首次提出了基质间不可滤物质积累微观概念模型的假设;并根据微观概念模型,在考虑生物膜、无机物积累等动态变化因素条件下提出基质间完全堵塞所需时间、基质表面发生雍水所需时间及基质渗透系数随时间变化的关系.     

镇江城市径流颗粒粒径分布及其与污染物的关系

为了解城市中不同粒径颗粒物对于径流中污染物的影响,2006年3月在镇江城市不同功能区地表采集了沉积物样品和径流样品,分析了颗粒物的粒径分布和污染物浓度.结果表明,晴天条件下道路沉积物主要由粒径＜250μm的颗粒组成;降雨初期主要为＜5μm的颗粒物随径流迁移,随降雨历时的延长较大颗粒开始随径流迁移,降雨期间随地表径流迁移主要为小于150μm的颗粒物,特别是5～40μm粒径段的颗粒要特别予以关注;同时污染物浓度也由降雨初期的高浓度逐渐下降并趋于稳定.明确了径流中污染物的主要输出形态,并通过分析不同降雨历时污染物与固体悬浮物和颗粒粒径的相关性探明了径流污染物形态输出的原因,从而为城市非点源污染的管理以及控制方法的选择提供科学依据.     

三峡库区(重庆段)生态系统健康评价

生态系统的健康和相对稳定是人类赖以生存与发展的必要条件. 分析了三峡库区(重庆段)生态系统的健康状况,使用3S技术获取基础地理数据,构建基于压力-状态-响应模式的三级指标体系模型,并以AHP法结合专家咨询法选取人口密度、地质灾害易发度等10项指标,进行综合得分计算并分级. 结果表明:①在生态环境调查的基础上,应用GIS空间分析方法进行生态系统健康评价具有可操作性和结果的可靠性;②三峡库区(重庆段)生态系统健康质量表现出2～4级生态系统占主体(82.6%)的特点,生态质量一般,人类社会经济活动对生态系统的健康状况造成较大影响;③生态系统健康质量水平分布表现出明显的区域差异,从行政范围来看,彭水县、巫山县较好,巫溪县、武隆县等次之,云阳市、万州区等则较差. 结合系统聚类分析方法分析三峡库区(重庆段)生态系统健康状况空间分异的成因;并从宏观尺度上提出了对该地区人为活动的不良生态后果予以积极预防和有效调控的综合对策.      

城市垃圾焚烧飞灰特性及水泥固化试验研究

试验分析了重庆市某城市垃圾焚烧发电厂飞灰的化学成分,研究了原飞灰的浸出毒性,考察了水泥对原飞灰和酸洗预处理飞灰中重金属的固化效果. 结果表明:飞灰中重金属Pb和Zn的浸出质量浓度均超过《危险废物浸出毒性鉴别标准》(GB5085.3-2007),因而被认为是危险废物,必须对之进行稳定化处理;酸洗预处理飞灰固化试块的抗压强度得到了一定程度的提高,其重金属Pb和Zn的浸出毒性均较相同配比、相同养护时间的原飞灰固化试块有明显降低;酸洗预处理飞灰固化试块抗压强度随掺入飞灰比例的降低和养护时间的延长而加大,在养护28 d时其抗压强度最高,达4.25 MPa;酸洗预处理飞灰固化试块在养护28 d时,其重金属Pb和Zn的浸出质量浓度分别比原飞灰所制固化试块降低了10.6%～59.0%和7.4%～73.7%.      

电感耦合等离子体质谱法同时测定地下水中钴和钼

建立了一种用电感耦合等离子体质谱法同时测定水源地地下水中微量元素钴和钼的方法。与常规的元素测试方法相比,该方法可以同时快速有效地完成钴和钼测试,测试方法简单,结果准确可靠。     

PUF大气被动采样技术对POPs的采样计算

随着《斯德哥尔摩公约》的实施,大气中持久性有机污染物(POPs)的大气被动采样(PAS)观测技术得到了快速发展,相比于传统大气主动采样技术,PAS技术具有明显的优势。以应用最为广泛的聚氨酯软性泡沫材料大气被动采样(PUF-PAS)为例,重点阐述和讨论了3种通过大气被动采样技术来计算污染物在空气中的浓度的方法,并对其采样原理和发展趋势进行了简要介绍。