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991.
屋面雨水回灌裂隙岩溶水工程风险评价   总被引:1,自引:1,他引:0  
济南城市雨洪水回灌岩溶含水层是维护自然水循环,增加地下水补给量,维持济南泉群喷涌以及城市防洪的有效途径。但由于裂隙岩溶含水层具有渗透系数大、水流速度快,地下水一旦污染很难短时间恢复等特点,需要对回灌工程开展风险评价。本文以济南大学西校区的屋面雨水深井回灌裂隙岩溶水工程为例,利用澳大利亚MAR指南对工程进行风险评价。主要由初级风险评估、试运行调查、试运行风险评价及风险控制与管理4部分组成。初级风险评估结果显示屋面雨水回灌裂隙岩溶含水层工程的总体难度水平较低,项目可行。试运行调查期间监测的屋面雨水和回灌前后地下水水质可知屋面雨水经初期弃流、沉淀和过滤后,除浊度外基本达到地下水Ⅲ类标准,且处理后达标的雨水可迅速补充地下水。试运行风险评价结果显示屋面雨水中浊度经预处理后仍较高,使其成为该系统的最大风险项和关键控制点,故本项目的风险控制措施为改进预处理设施,降低雨水中的浊度。为保证工程能够高效持续运行,加强后期管理也尤为重要。   相似文献   
992.
昆明大板桥岩溶地下水系统污染边界及其防污性能研究   总被引:2,自引:2,他引:0  
彭淑惠  王宇  黄成  李芹  王裕琴 《中国岩溶》2015,34(4):362-368
大板桥岩溶地下水系统是滇东断陷盆地区较典型的裸露—覆盖型岩溶地下水系统,文章中定义了岩溶地下水系统污染边界,进行了大板桥岩溶地下水系统分级,即大板桥裸露—覆盖型岩溶水一级系统及横山—龙泉寺裸露型子系统和大板桥—阿地村覆盖型子系统两个二级子系统,确定了大板桥岩溶地下水系统侧向边界、裸露区顶界、裸露型子系统与覆盖型子系统的边界及覆盖区顶界四种裸露—覆盖型岩溶地下水系统污染边界,并对边界防污性能进行了研究,认为裸露区顶界防污性能弱、裸露型子系统与覆盖型子系统的侧向边界防污性能较弱,覆盖区顶界防污性能强。   相似文献   
993.
赵岩 《地质与资源》2015,24(4):388-393
随着城市规模和城市化进程的扩大与加快,工业化程度的不断提高,区域地表水和地下水受到不同程度的污染,人类赖以生存的淡水资源面临威胁.20世纪90年代以来,我国开始关注农业污染和有机污染的研究工作.结合研究区研究情况,本次评价主要应用单因子污染指数法及综合污染指数法.综合分析了地下水评价的各种方法后,本次评价选择了单指标污染指数评价法和地下水污染综合评价法对该区进行评价.在研究区展开了野外调查,采集了浅层地下水样品110组(其中包括平行样、加标样和监控样合计20组),每个样品测试了35项指标.评价结果表明,研究区67.4%浅层地下水受到不同程度的污染.根据本次评价,基本上反映了研究区地下水污染状况,并为有针对性的治理提供依据.  相似文献   
994.
准确而可靠地预测地下水埋深对生态环境保护和水资源规划管理具有重要意义。针对吉林西部浅层地下水位动态变化的复杂性和非线性,提出了基于小波分析与人工神经网络相结合的预测方法小波神经网络(WA-ANN)模型。将研究区2002年1月2009年12月当月降水量、蒸发量、人工开采量和前月平均地下水埋深4个参数作为输入,当月平均地下水埋深作为输出,建立浅层地下水埋深预测模型,并与BP神经网络(BP-ANN)模型和自回归移动平均(ARIMA)模型进行比较,对比分析了三者的建模过程及其模拟精度。结果显示:相比两种ANN模型,ARIMA模型建模过程更为简单,计算效率更高;但WA-ANN模型的拟合精度高于BP-ANN和ARIMA模型,预测效果更好。总体来看,WA-ANN模型在浅层地下水埋深预测中具有一定的应用推广价值。  相似文献   
995.
研究区位于河北省保定市东部排污渠旁,是一处有近40年污水灌溉历史的农田,灌溉用污水主要为保定天鹅化纤有限公司和保定钞票纸厂排放的污水,主要种植农作物为小麦、玉米。饱气带厚度2.4~2.7 m,饱气带土以粉质粘土为主。通过分析距排污渠不同距离、不同深度的土样有机物的测试分析结果,选择苯、甲苯、二氯甲烷、三氯甲烷、苯并[a]芘为典型污染物,从饱气带土的物理与化学特征、5种有机物的物理化学特征、地下水的动力条件角度,分析了典型有机物在饱气带土与地下水中迁移的影响因素。  相似文献   
996.
997.
Over the past few decades, groundwater has become an essential commodity owing to increased demand as a result of growing population, industrialization, urbanization and so on. The water supply situation is expected to become more severe in the future because of continued unsustainable water use and projected change in hydrometeorological parameters due to climate change. This study is based on the integrated approach of remote sensing, geographical information system and multicriteria decision‐making techniques to determine the most important contributing factors that affect the groundwater resources and to delineate the groundwater potential zones. Ten thematic layers, namely, geomorphology, geology, soil, topographic elevation (digital elevation model), land use/land cover, drainage density, lineament density, proximity of surface water bodies, surface temperature and post‐monsoon groundwater depth, were considered for the present study. These thematic layers were selected for groundwater prospecting based on the literature; discussion with the experts of the Central Ground Water Board, Government of India; field observations; geophysical investigation; and multivariate techniques. The thematic layers and their features were assigned suitable weights on Saaty's scale according to their relative significance for groundwater occurrence. The assigned weights of the layers and their features were normalized by using the analytic hierarchy process and eigenvector method. Finally, the selected thematic maps were integrated using a weighted linear combination method to create the final groundwater potential zone map. The final output map shows different zones of groundwater potential, namely, very good (16%), good (35%), moderate (28%) low (17%) and very low (2.1%). The groundwater potential zone map was finally validated using the discharge and groundwater depth data from 28 and 98 pumping wells, respectively, which showed good correlation. Copyright © 2014 John Wiley & Sons, Ltd.  相似文献   
998.
Optimizing layout of pumping well plays a vital role in curbing the groundwater level decline. A novel optimization model is presented in this study. First, the optimal well number is obtained by taking into account factors of local economy and environment based on nonlinear programming model. Then, the well spatial layout assessment model is attained based on information entropy weight and technique for order preference by similarity to ideal solution (TOPSIS). After that, the relative closeness to positive ideal solution of alternative (ci) on the rationality of well spatial layout in cultivated land is calculated, and a set of alternatives are ranked according to the descending order of ci. Finally, the well optimization layout is obtained by combining the optimal well number with well spatial layout assessment result based on the GIS data of pumping wells. As a case study, this method was applied in Yongchang Irrigation District of Shiyang River Basin, the arid region of northwest China. Results show that under the conditions of sustainable use of water resources, the irrigation district needed 724 wells for irrigation, with a decrease of 31.0% when compared with the existing number of wells. The wells with low flow rate and operating efficiency distributed in high density where groundwater is over‐exploitation were recommended to be closed. This well optimization layout method is expected to play a significant role in helping make plans for exploiting groundwater at more sustainable level, curbing the groundwater level decline trend, and improving the local ecological environment. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   
999.
Sediment rating curves, which are fitted relationships between river discharge (Q) and suspended‐sediment concentration (C), are commonly used to assess patterns and trends in river water quality. In many of these studies, it is assumed that rating curves have a power‐law form (i.e. C = aQb, where a and b are fitted parameters). Two fundamental questions about the utility of these techniques are assessed in this paper: (i) how well to the parameters, a and b, characterize trends in the data, and (ii) are trends in rating curves diagnostic of changes to river water or sediment discharge? As noted in previous research, the offset parameter, a, is not an independent variable for most rivers but rather strongly dependent on b and Q. Here, it is shown that a is a poor metric for trends in the vertical offset of a rating curve, and a new parameter, â, as determined by the discharge‐normalized power function [C = â (Q/QGM)b], where QGM is the geometric mean of the Q‐values sampled, provides a better characterization of trends. However, these techniques must be applied carefully, because curvature in the relationship between log(Q) and log(C), which exists for many rivers, can produce false trends in â and b. Also, it is shown that trends in â and b are not uniquely diagnostic of river water or sediment supply conditions. For example, an increase in â can be caused by an increase in sediment supply, a decrease in water supply or a combination of these conditions. Large changes in water and sediment supplies can occur without any change in the parameters, â and b. Thus, trend analyses using sediment rating curves must include additional assessments of the time‐dependent rates and trends of river water, sediment concentrations and sediment discharge. Published 2014. This article is a U.S. Government work and is in the public domain in the USA. Hydrological Processes published by John Wiley & Sons Ltd.  相似文献   
1000.
The hyporheic zone of riverbed sediments has the potential to attenuate nitrate from upwelling, polluted groundwater. However, the coarse‐scale (5–10 cm) measurement of nitrogen biogeochemistry in the hyporheic zone can often mask fine‐scale (<1 cm) biogeochemical patterns, especially in near‐surface sediments, leading to incomplete or inaccurate representation of the capacity of the hyporheic zone to transform upwelling NO3?. In this study, we utilised diffusive equilibrium in thin‐films samplers to capture high resolution (cm‐scale) vertical concentration profiles of NO3?, SO42?, Fe and Mn in the upper 15 cm of armoured and permeable riverbed sediments. The goal was to test whether nitrate attenuation was occurring in a sub‐reach characterised by strong vertical (upwelling) water fluxes. The vertical concentration profiles obtained from diffusive equilibrium in thin‐films samplers indicate considerable cm‐scale variability in NO3? (4.4 ± 2.9 mg N/L), SO42? (9.9 ± 3.1 mg/l) and dissolved Fe (1.6 ± 2.1 mg/l) and Mn (0.2 ± 0.2 mg/l). However, the overall trend suggests the absence of substantial net chemical transformations and surface‐subsurface water mixing in the shallow sediments of our sub‐reach under baseflow conditions. The significance of this is that upwelling NO3?‐rich groundwater does not appear to be attenuated in the riverbed sediments at <15 cm depth as might occur where hyporheic exchange flows deliver organic matter to the sediments for metabolic processes. It would appear that the chemical patterns observed in the shallow sediments of our sub‐reach are not controlled exclusively by redox processes and/or hyporheic exchange flows. Deeper‐seated groundwater fluxes and hydro‐stratigraphy may be additional important drivers of chemical patterns in the shallow sediments of our study sub‐reach. © 2015 The Authors. Hydrological Processes Published by John Wiley & Sons Ltd.  相似文献   
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