共查询到20条相似文献，搜索用时 31 毫秒
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Accurate and reliable prediction of shallow groundwater level is a critical component in water resources management. Two nonlinear models, WA–ANN method based on discrete wavelet transform (WA) and artificial neural network (ANN) and integrated time series (ITS) model, were developed to predict groundwater level fluctuations of a shallow coastal aquifer (Fujian Province, China). The two models were testified with the monitored groundwater level from 2000 to 2011. Two representative wells are selected with different locations within the study area. The error criteria were estimated using the coefficient of determination (R 2), Nash–Sutcliffe model efficiency coefficient (E), and root-mean-square error (RMSE). The best model was determined based on the RMSE of prediction using independent test data set. The WA–ANN models were found to provide more accurate monthly average groundwater level forecasts compared to the ITS models. The results of the study indicate the potential of WA–ANN models in forecasting groundwater levels. It is recommended that additional studies explore this proposed method, which can be used in turn to facilitate the development and implementation of more effective and sustainable groundwater management strategies. 相似文献
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Predictive modeling of hydrological time series is essential for groundwater resource development and management. Here, we examined the comparative merits and demerits of three modern soft computing techniques, namely, artificial neural networks (ANN) optimized by scaled conjugate gradient (SCG) (ANN.SCG), Bayesian neural networks (BNN) optimized by SCG (BNN.SCG) with evidence approximation and adaptive neuro-fuzzy inference system (ANFIS) in the predictive modeling of groundwater level fluctuations. As a first step of our analysis, a sensitivity analysis was carried out using automatic relevance determination scheme to examine the relative influence of each of the hydro-meteorological attributes on groundwater level fluctuations. Secondly, the result of stability analysis was studied by perturbing the underlying data sets with different levels of correlated red noise. Finally, guided by the ensuing theoretical experiments, the above techniques were applied to model the groundwater level fluctuation time series of six wells from a hard rock area of Dindigul in Southern India. We used four standard quantitative statistical measures to compare the robustness of the different models. These measures are (1) root mean square error, (2) reduction of error, (3) index of agreement (IA), and (4) Pearson’s correlation coefficient (R). Based on the above analyses, it is found that the ANFIS model performed better in modeling noise-free data than the BNN.SCG and ANN.SCG models. However, modeling of hydrological time series correlated with significant amount of red noise, the BNN.SCG models performed better than both the ANFIS and ANN.SCG models. Hence, appropriate care should be taken for selecting suitable methodology for modeling the complex and noisy hydrological time series. These results may be used to constrain the model of groundwater level fluctuations, which would in turn, facilitate the development and implementation of more effective sustainable groundwater management and planning strategies in semi-arid hard rock area of Dindigul, Southern India and alike. 相似文献
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河套平原浅层地下水动态监测网优化设计 总被引：1，自引：0，他引：1
河套平原的地下水动态监测网存在监测井空间布局不合理的问题,限制了地下水研究工作的进一步深入.采用水文地质分析法和克里金插值法,并结合实际情况对河套平原的浅层地下水监测网络进行了优化设计.地下水动态影响因素分区图的编制主要考虑了地貌、包气带岩性、浅水位埋深、含水层渗透系数、年均降水量、年均蒸发量以及地下水开采模数7个因子.结果表明,优化设计的监测网共有监测井428眼,优化后Kriging插值误差标准差为2.53~10.99 m,比优化前(2.75~27.00 m)显著降低,这说明优化设计的监测网精度有很大提高.此外,优化后的监测网不仅能够对河岸带、断裂带、咸淡水交互带、地下水降落漏斗区等关键地段的水位实施监测,还能够满足不同地区对监测井密度的需求,具有一定的参考和实践价值. 相似文献
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鄂西岗地1：50 000水文地质图数据集是在董市幅实施水文地质测绘、地球物理勘探、遥感地质解译、水文地质钻探、水样品采集测试及地下水位监测与统测等工作基础上完成原始数据采集,综合前期收集资料的整理分析与最新采集数据集成编制而成。原始数据采集主要包括遥感地质解译面积450 km2,机（民）调查点226个,地质调查点125个,环境地质调查点16个,水文地质钻探孔12眼,工程地质钻探孔8眼,水样品（全分析、同位素及有机污染样）合计采集80组,丰、枯水期地下水位统测各40点次,以及机（民）井监测12点位（一个水文年监测）等,数据采集严格遵守《水文地质调查规范》（DZ/T 0282-2015）《水文水井地质钻探规程》（DZ/T 0148-2014）等规范与技术要求组织实施,保证数据的准确可靠。数据集采用MapGIS 6.7平台辅助制图,坐标系为1984年西安坐标系,投影方式为高斯-克吕格投影（6度带）。水文地质图编制是以地下水系统理论为指导,充分展现关键水文地质信息与地下水资源现状条件,为区域地下水资源开发利用远景规划与有效保护提供直接依据,能够促进长江中游生态文明建设与长江中游经济带快速发展。 相似文献
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黑河中游灌区地下水位短期季节性变化趋势预测 总被引：4，自引：1，他引：3
利用黑河中游平川、板桥、鸭暖和蓼泉灌区8眼观测井的1985-2002年逐月实测平均地下水位埋深资料(共1728个月),基于帕森斯季节性指数理论,分别建立了黑河中游灌区具有代表性的平川、板桥、鸭暖、蓼泉四灌区共8眼观测井季节地下水位埋深动态变化预测模型,并用2003年各观测井的资料进行了趋势预测进行检验.结果表明:观测井地下水位变化过程呈线性递减的相关系数越显著,其拟合误差和预测误差越小.各观测井地下水位帕森斯季节性指数模型拟合差≤0.05 m的月数占总检验月数的比例平均为38.33%,拟合差≤0.10 m的月数占总检验月数的比例平均为72.50%,>0.25 m的月数占总检验月数的比例平均为2.00%;各观测井预测误差≤0.05 m的月数占总预报月数的比例平均为36.46%,预测误差≤0.10 m的月数占总预报月数的比例平均为64.38%,>0.25 m的平均比例仅为2.00%,说明帕森斯季节性指数模型可以对短期黑河中游典型灌区地下水位动态趋势进行预测. 相似文献
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针对华北平原水文地质条件复杂,地下水开发利用程度高,地下水位埋深和包气带岩性在时间和空间上差异大的特点,基于大量钻孔和地下水位监测资料,将华北平原划分为4个水文地质单元,以埋深7 m作为降水入渗稳定点,根据各分区的水文地质条件对钻孔岩层赋予入渗系数值,应用加权平均法求得华北平原20世纪60年代、80年代和21世纪初的降水入渗系数分布图.利用华北平原1956-2008年水资源四级区逐月降水量数据,求得华北平原20世纪60年代、80年代和21世纪初各分区单元的降水入渗量.结果表明,50多年来华北平原降水量呈减少的趋势,降水入渗系数呈增加的趋势,降水入渗量呈增加的趋势.3个年代的降水入渗量分别是118.86×108,147.91× 108和174.33×108 m3. 相似文献
8.
Nitin Patil Vishnu Prakash Reddy Anurag Patangray Surendra Kumar Singh 《Arabian Journal of Geosciences》2018,11(1):8
Groundwater is the most important source of water in meeting irrigation, drinking, and other needs in India. The assessment of the potential zone for its recharge is critical for sustainable usage, quality management, and food security. This study reports alternative mapping of the groundwater recharge potential of a selected block by including large-scale soil data. Thematic layers of soil, geomorphology, slope, land use land cover, topographical wetness index, and drainage density of Darwha block (District Yavatmal, Maharashtra, India) were generated and integrated in a geographic information system environment. The topographic maps, thematic maps, field data, and satellite image were processed, classified, and weighted using analytical hierarchical process for their contribution to groundwater recharge. The layers were integrated by weighted linear combination method in the GIS environment to generate four groundwater potential zones viz., “poor,” “poor to moderate,” “moderate to high,” and “high.” Based on the generated groundwater potential map, about 9830 ha (12%) of the study area was categorized as high potential for recharge, 25,558 ha (31%) as poor to moderate, 33,398 ha (40%) as moderate to high, and 12,565 ha (15%) as poor potential zone. The zonation corresponds well with the field data on greater well density (0.22/ha) and irrigated crop area (27%) in the high potential zone as against 0.02 wells/ha and only 6% irrigated area in the poor zone. The map is recommended for use in regulating groundwater development decisions and judicious expenditure on drilling new wells by farmers and the state authorities. 相似文献
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Using of neural networks for the prediction of nitrate groundwater contamination in rural and agricultural areas 总被引：1，自引：0，他引：1
Khamis Al-Mahallawi Jacky Mania Azzedine Hani Isam Shahrour 《Environmental Earth Sciences》2012,65(3):917-928
As a neural network provides a non-linear function mapping of a set of input variables into the corresponding network output,
without the requirement of having to specify the actual mathematical form of the relation between the input and output variables,
it has the versatility for modeling a wide range of complex non-linear phenomena. In this study, groundwater contamination
by nitrate, the ANNs are applied as a new type of model to estimate the nitrate contamination of the Gaza Strip aquifer. A
set of six explanatory variables for 139 sampled wells was used and that have a significant influence were identified by using
ANN model. The Multilayer Perceptrons (MLP), Radial Basis Function (RBF), Generalized Regression Neural Network (GRNN), and Linear Networks were used. The best network found to simulate Nitrate
was MLP with six input nodes and four hidden nodes. The input variables are: nitrogen load, housing density in 500-m radius
area surrounding wells, well depth, screen length, well discharge, and infiltration rate. The best network found had good
performance (regression ratio 0.2158, correlation 0.9773, and error 8.4322). Bivariate statistical test also were used and
resulting in considerable unexplained variation in nitrate concentration. Based on ANN model, groundwater contamination by
nitrate depends not on any single factor but on the combination of them. 相似文献
10.
云南省抗旱井定井论证方法 总被引：11，自引：10，他引：1
云南抗旱井的水文地质论证工作可分为区域规划、圈定富水块段、确定井位、钻进过程分析4个步骤。根据云南的水文地质特征,抗旱井的论证首先结合含水层类型和区域地貌格局做好区域规划论证——只有充分考虑地下水的宏观分布格局才能保证全省性抗旱找水钻井的基本成功率。在确定具体井位时,首先要综合论证水文地质单元的补给、径流、排泄分区,汇水地貌和储水构造条件,圈定富水块段作为找水“靶区”;然后深入分析微地貌组合形态、小微型构造特征、地下水活动痕迹、地下水开发技术条件,并辅以多个拟选井位的物探工作,最终比较优选井位。在钻进过程中,水文地质编录和分析对于及时指导钻孔处理或移动孔位,避免浪费钻探进尺,保证抗旱井较高成井率是必不可少的工作。 相似文献
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El Bahariya Oasis is a part of the great groundwater reservoir of the Western Desert of Egypt. The different stratigraphic units, the water-bearing zones, aquifer potentiality conditions, and the favorable locations for drilling new wells were evaluated by carrying out 24 Schlumberger vertical electrical soundings (VESs), along with the data of some wells drilled in the near vicinity of the measuring sites. The results of the interpreted field data revealed the presence of ten distinctive subsurface geoelectric layers; a thin surface, dry loose sand and gravel, sandy clay and shale interclations, saturated coarse sand layer, shale and clay, and saturated fine sandstone and saturated coarse sandstone. The aquifer is a multilayer aquifer with different thicknesses represented by the fourth, sixth, eighth, and tenth geoelectric layers. Results also revealed that the thicknesses of the water-bearing horizons increase towards the east direction, consequently the aquifer potentiality increases. Therefore, the best production well locations are in that direction. Depth to water starts from 40 m at VES no. 14 and increases gradually toward the east to reach 66 m at VES no. 5. Hydrogeochemical analysis of two groundwater samples taken from Ein El Ezza and well no. 2 showed that groundwater in the study area is suitable for agricultural purposes but not for human consumption due to the high iron content. Recommendations concerning site selection for drilling new productive groundwater wells are given. 相似文献
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Rita Sandrina Rabet Celalettin Simsek Alper Baba Alim Murathan 《Environmental Earth Sciences》2017,76(1):49
Anatolia region is one of the most seismically active regions in the world and has a considerably high level of geothermal energy potential. Some of these geothermal resources have been used for power generation and direct heating. Most of the high enthalpy geothermal systems are located in western part of Turkey. Alasehir is the most important geothermal site in western part of Turkey. Many geothermal wells have been drilled in Alasehir Plain to produce the geothermal fluid from the deep reservoir in the last 10 years. A blowout accident happened during a geothermal well drilling operation in Alasehir Plain, and significant amount of geothermal fluid surfaced out along the fault zone in three locations. When drilling string entered the reservoir rock about 1000 m, blowout occurred. As the well head preventer system was closed because of the blowout, high-pressure fluid surfaced out along the fault zone cutting the Neogene formation. In order to understand the geothermal fluid effects on groundwater chemistry, physical and chemical compositions of local cold groundwater were monitored from May 2012 to September 2014 in the study area. The geothermal fluid was found to be of Na–HCO3 water type, and especially, arsenic and boron concentrations reached levels as high as 3 and 127 mg/L, respectively. The concentrations of arsenic and boron in the geothermal fluid and groundwater exceeded the maximum allowable limits given in the national and international standards for drinking water quality. According to temporally monitored results, geothermal fluid has extremely high mineral content which influenced the quality of groundwater resources of the area where water resource is commonly used for agricultural irrigation. 相似文献
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Application of an Expert System to Predict Maximum Explosive Charge Used Per Delay in Surface Mining
The present paper mainly deals with the prediction of maximum explosive charge used per delay (Q MAX) using an artificial neural network (ANN) incorporating peak particle velocity (PPV) and distance between blast face to monitoring point (D). One hundred and fifty blast vibration data sets were monitored at different vulnerable and strategic locations in and around major coal producing opencast coal mines in India. One hundred and twenty-four blast vibrations records were used for the training of the ANN model vis-à-vis to determine site constants of various conventional vibration predictors. The other 26 new randomly selected data sets were used to test, evaluate and compare the ANN prediction results with widely used conventional predictors. Results were compared based on coefficient of correlation (R), mean absolute error and mean squared between measured and predicted values of Q MAX. It was found that coefficient of correlation between measured and predicted Q MAX by ANN was 0.985, whereas it ranged from 0.316 to 0.762 by different conventional predictor equations. Mean absolute error and mean squared error was also very small by ANN, whereas it was very high for different conventional predictor equations. 相似文献
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北京平原地下水水位监测网优化 总被引：10，自引：0，他引：10
文章在北京市地下水水位监测现状基础上,分潜水和承压水对北京平原地下水监测网的监测密度和监测频率进行了优化设计。主要采用编制地下水动态类型图的方法进行了地下水水位监测网的优化,克里金插值法能定量评价依据监测网观测值绘制的地下水水位等高线的精度,因而可以用来评价监测优化结果。并根据时间序列分析和统计检验提供的定量标准优化了地下水水位监测频率。优化后,北京平原共有监测孔400眼,其中利用原有监测孔300眼,新设计监测孔100眼,手工监测频率由原来的每月6次优化为每月1次,专项高频率监测可以由地下水自动监测仪实现。文中还对地下水自动监测仪(DIVER)的监测结果和手工监测结果进行了对比评价,提出了地下水水位监测网的维护、管理措施和信息发布方式。 相似文献
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Monitoring of regional groundwater levels provides important information for quantifying groundwater depletion and assessing impacts on the environment Historically,groundwater level monitoring wells in Beijing Plain,China,were installed for assessing groundwater resources and for monitoring the cone of depression.Monitoring wells are clustered around well fields and urban areas.There is urgent need to upgrade the existing monitoring wells to a regional groundwater level monitoring network to acquire information for integrated water resources management.A new method was proposed for designing a regional groundwater level monitoring network.The method is based on groundwater regime zone mapping.Groundwater regime zone map delineates distinct areas of possible different groundwater level variations and is useful for locating groundwater monitoring wells.This method was applied to Beijing Plain to upgrade a regional groundwater level monitoring network. 相似文献
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A. M. Al-Abadi H. B. Ghlaib S. Shahid 《International Journal of Environmental Science and Technology》2017,14(10):2249-2268
The objective of this study is to integrate geographic information system and bivariate frequency ratio method for the mapping of flowing well zones in the west and southwest parts of the Euphrates river basin of Iraq. Ten groundwater conditioning factors are identified as controlling factors of groundwater movement based on data availability, literature review, and expert’s opinions. The spatial association between flowing well locations and groundwater controlling factors is investigated by means of a probabilistic frequency ratio approach. Seventy percent or 148 wells from an inventory of 211 flowing wells in the study area are randomly selected for training, and the remaining 30 or 63% wells are used for validation of the probabilistic frequency ratio model. The estimated probabilistic ratio values are overlaid and summed to produce the groundwater potential index map. The results reveal that groundwater potential in 128,547 km2 or 84% of the total area is very low to low. The moderate potential zone covers an area of about 11,210 km2 or 7%, while the high and very high potential zones are found in an area of 12,982 km2 or 9% of the study area. Validation of obtaining results by means of a receiver operating characteristic technique reveals that the predictive accuracy of 94% indicating the excellent performance of the proposed approach for spatial zoning of groundwater flowing well boundary at Iraqi desert. 相似文献
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Prediction of agriculture derived groundwater nitrate distribution in North China Plain with GIS-based BPNN 总被引：1，自引：0，他引：1
In recent years, nitrate contamination of groundwater has become a growing concern for people in rural areas in North China Plain (NCP) where groundwater is used as drinking water. The objective of this study was to simulate agriculture derived groundwater nitrate pollution patterns with artificial neural network (ANN), which has been proved to be an effective tool for prediction in many branches of hydrology when data are not sufficient to understand the physical process of the systems but relative accurate predictions is needed. In our study, a back propagation neural network (BPNN) was developed to simulate spatial distribution of NO3-N concentrations in groundwater with land use information and site-specific hydrogeological properties in Huantai County, a typical agriculture dominated region of NCP. Geographic information system (GIS) tools were used in preparing and processing input–output vectors data for the BPNN. The circular buffer zones centered on the sampling wells were designated so as to consider the nitrate contamination of groundwater due to neighboring field. The result showed that the GIS-based BPNN simulated groundwater NO3-N concentration efficiently and captured the general trend of groundwater nitrate pollution patterns. The optimal result was obtained with a learning rate of 0.02, a 4-7-1 architecture and a buffer zone radius of 400 m. Nitrogen budget combined with GIS-based BPNN can serve as a cost-effective tool for prediction and management of groundwater nitrate pollution in an agriculture dominated regions in North China Plain. 相似文献
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地下水监测能为有效管理地下水资源提供重要信息。大气压力对观测井水位有着重要影响,正确地分析这种影响可以有效判别地下水的流向,判断含水层的性质、识别井筒存储效应（well bore storage effects）和井薄壁效应(well skin effects), 计算包气带中空气的扩散度等。随着现代化监测仪器的推广使用,高质量的监测数据为分析气压对观测井水位的影响提供了基础和保障。系统分析了不同类型含水层中井水位对大气压力的响应模式,并对校正气压对水位影响的方法进行了分析和讨论。最后,以北京平原区两口监测井为例,运用多元回归反卷积方法分析了气压对井水位的影响,并对井水位进行校正。结果表明该方法能有效地分析和校正观测井水位中的气压影响。 相似文献