基于非等间距序列GM(1,1)模型的地下水温度预测

地下水温度是地下水源热泵系统设计中的一个重要参数,它关系到热泵系统换热器的选型计算以及整个系统的优化设计,所以在地热井勘探和使用过程中,通过定期监测各层段地下水的温度,预测地下水温度随深度的变化规律,为地下水源热泵设计、运行、成井工艺等提供参考资料,具有非常重要的实用价值。基于灰色理论基础,应用西安市泾河开发区两口观测井30～108m的实测水温作为原始数据,构建非等间距序列GM(1,1)预测模型,预测其128～150m的水温变化情况。结果表明:模拟结果与实际值拟合好,该模型能够较好地预测地下水温度随埋藏深度的变化趋势,是分析地下水温垂向变化趋势的一种新途径。     

浅薄含水层水源热泵井群设计方案研究

以某地下水源热泵系统工程为例,依据实测渗水试验及抽水一回灌试验数据,建立研究区地下水流数值模拟模型,分析了该地区适宜的井群布置方式及井间距,并定量研究了该布置方式下对地下水流场的影响,为该地区浅薄含水层地温能资源的开发利用提供技术支撑。结果表明：该类浅薄含水层地温能开发利用井群布置方式中,抽水井布设在地下水流场的下游、回灌井布设在地下水流场的上游更为适宜,合理井间距确定为110m;在适宜井间距条件下,对水位最大影响范围约为6．50km2,温度变幅大于1℃的最大范围约为0．28km2。     

地下水源热泵系统布井方案分析

对于地下水源热泵而言,"热突破"现象普遍存在。但不同的布井方案,即抽、灌井间距和井位的不同,可能引起抽水井的温度变化差异很大,进而影响地温空调系统采能功效。本文结合郑州市儿童医院地温空调实例工程,应用HST3D程序对细颗粒含水层地区1抽2灌模式下不同布井方案进行了分析。结果表明,该区的最佳井间距为50m左右;选择直线型布井,抽、灌井连线平行于天然水力坡度方向,且天然水力坡度由抽水井指向回灌井的方式效果最好。     

基于人工神经网络的地下水状态方程—以山东莱州湾南岸地下水研究为例

山东莱州湾南岸地下水密度受多种因素影响,传统方法难以拟合,利用人工神经网络（简称ANN）高效的自组织学习能力和抗实验噪音能力及应用神经网络工具箱设计了三层反馈式神经网络模型,得出映射莱州湾南岸地下水密度与含盐量之间相关关系的基于ANN的地下水状态性关系的性质,基于ANN的地下水状态方程具有形式简单,易于使用等特点。     

地下水地源热泵系统应用对地温场的影响

通过建立地下水地源热泵系统试验场,运行热泵系统,并进行地下水温度连续监测,分析应用地下水地源热泵系统对地温场的影响。抽水井与回灌井之间以及回灌井附近的地下水温度随系统运行明显变化。系统运行后,回灌水体将以不规则边缘的透镜体贮存于含水层中,以回灌井为中心向外围扩展,水温最低或最高点位于含水层中部。粘性土相对隔水层的温度变化幅度、影响范围均小于含水层。由于热量的累积效应,即使是冷热负荷均衡的热泵系统,运行一个采暖、制冷周期后也将在热源井附近的抽、灌水含水层以及相邻的隔水层中形成冷量或热量的小范围聚积。     

应用水热运移数值模拟优化地下水源热泵系统抽灌井布局

合理布局抽水井和回灌井是地下水源热泵系统长期有效运行的关键因素。以郑州市郑东新区为例,利用HST3D软件建立水热运移数值模型,优化设计地下水源热泵系统抽灌水井布局,预测地下水源热泵系统长期运行后对含水层的水热影响。结果表明:介质比热容及渗透率分别对含水层温度及水位影响显著,是较敏感的参数。方案3(3个回灌井垂直天然流向分布且位于抽水井下游)为最佳布井方式。抽灌量900,1 200,1 500及2 000m3/d所对应的合理布井间距分别为50,65,70及75m。相应布井方案的水源热泵系统运行20a,对含水层温度场的影响仅限于200m×200m的范围,抽水井温度变化小于1℃。     

城市浅层地热能开发地质环境问题研究

本文就浅层地热能开发利用过程中出现的生态环境和地质环境问题从客观因素和人为因素进行了详细的研究,借助土壤温度的测试和地层冷热平衡的监测,分析在地源热泵运行过程中造成的热污染、地下水位下降、地面沉降、地下水质恶化污染等问题。研究认为长期利用地源热泵开发利用系统,如设计不合理或地下水回灌率低,将破坏地层的冷热平衡。北方地区供暖期大于制冷期时,地层温度将逐年下降,N2O和CH4会集中释放,造成生物生长速度缓慢。地下水源热泵运行时,如地下水回灌困难,将导致地下水资源浪费、水位下降等生态环境问题以及路面塌陷、地面沉降等地质环境问题。供暖期、制冷期运行时间差别较大时,将导致地下水温度的变化,直接影响地下水中污染物的降解,间接影响地下水的水质。抽取、回灌地下水的过程会造成空气中的氧气随之溶解于水中,导致地下水质的变化。通过分析浅层地热能开发利用存在的突出问题和影响因素,可为其科学合理开发利用提供科学依据和技术支撑。     

地下水源热泵系统中回灌能力分析

近年,地下水源热泵技术在我国被广泛应用,并在节能、环保等方面取得了一定效益。但是,回灌问题仍是困扰我国地下水源热泵发展的瓶颈。以唐山市丰润区乡居假日住宅区A4区地下水源热泵系统的应用为例,从区域水文地质条件方面,对水源热泵系统中地下水回灌能力进行了分析,指出开展地下水源热泵项目时,掌握热源井所在区域水文地质条件的重要性。探讨了影响地下水回灌能力的关键因素,其中包括区域水文地质条件、热源井成井工艺、回灌井阻塞以及地下水回灌方式。     

增强型地热系统不同注采井网参数分析

针对增强型地热系统中水通过复杂裂缝系统提取干热岩储层热量的过程,基于离散裂缝网络模型热流耦合构建了增强型地热系统的解析模型,利用Laplace变换得到了干热岩储层解析解,分析了在五点井网开采下注采井网参数对出口端温度及热提取的影响。研究结果表明:不同裂缝网络和井网模型下出口端温度下降幅度和热突破的时间不同;在相同裂缝网络下,井距越大,热突破时间越晚,当井距分别为50.0、100.0和150.0m时,热突破时间分别为2.0、5.2和15.0a;注水速率越小,温度下降越慢,当注水速率分别为0.1,0.2和0.3kg/s时,生产20.0a,温度下降幅度分别为53.0,34.5和26.8℃;通过正交实验分析方法得到注采参数中井距影响最大,其极差为13.15,其次为注水速率和注水温度,井网模型影响最小。     

Modeling the effects of the variability of temperature-related dynamic viscosity on the thermal-affected zone of groundwater heat-pump systems

Thermal perturbation in the subsurface produced in an open-loop groundwater heat pump (GWHP) plant is a complex transport phenomenon affected by several factors, including the exploited aquifer’s hydrogeological and thermal characteristics, well construction features, and the temporal dynamics of the plant’s groundwater abstraction and reinjection system. Hydraulic conductivity has a major influence on heat transport because plume propagation, which occurs primarily through advection, tends to degrade following conductive heat transport and convection within moving water. Hydraulic conductivity is, in turn, influenced by water reinjection because the dynamic viscosity of groundwater varies with temperature. This paper reports on a computational analysis conducted using FEFLOW software to quantify how the thermal-affected zone (TAZ) is influenced by the variation in dynamic viscosity due to reinjected groundwater in a well-doublet scheme. The modeling results demonstrate non-negligible groundwater dynamic-viscosity variation that affects thermal plume propagation in the aquifer. This influence on TAZ calculation was enhanced for aquifers with high intrinsic permeability and/or substantial temperature differences between abstracted and post-heat-pump-reinjected groundwater.

     

北京地区地下水源热泵利用现状及存在问题

本文综合国内外地下水源热泵研究现状,通过对北京地区地下水源热泵利用现状调查分析,重点分析了地下水水源热泵利用过程中存在的不能完全回灌、回灌水温差过大、水井布设不合理等问题。结合北京平原区第四系水文地质条件,分析了不同含水层结构下如何合理布设地下水源热泵系统的用水井,尽量避免水源热泵系统的使用对地下水的影响。     

细颗粒沉积物分布区地下水源热泵抽灌井施工工艺探讨

郑州市广泛分布着第四系松散堆积物,其特点是颗粒细,厚度大,含水介质主要为细颗粒的砂层。由于地下水富水性好,目前郑州市浅层地温能开发利用主要以地下水地源热泵工程为主。传统正循环泥浆钻探工艺施工的地温空调井,普遍存在洗井困难、涌水量和回灌量偏小的问题,在很大程度上限制了地下水地源热泵工程的推广使用。针对这一问题,本次采用泵吸反循环工艺施工地温空调井。施工过程及试验数据对比分析表明,在细颗粒松散沉积物分布区,采用泵吸反循环钻探工艺施工地温空调井,对提高施工进度、增大出水量和回灌量等方面具有显著优势,可以为类似地区地温空调井的施工提供借鉴。     

Neural network modeling applications in active slope stability problems

A back propagation artificial neural network approach is applied to three common challenges in engineering geology: (1) characterization of subsurface geometry/position of the slip (or failure surface) of active landslides, (2) assessment of slope displacements based on ground water elevation and climate, and (3) assessment of groundwater elevations based on climate data. Series of neural network models are trained, validated, and applied to a landslide study along Lake Michigan and cases from the literature. The subsurface characterization results are also compared to a limit equilibrium circular failure surface search with specific adopted boundary conditions. It is determined that the neural network models predict slip surfaces better than the limit equilibrium slip surface search using the most conservative criteria. Displacements and groundwater elevations are also predicted fairly well, in real time. The models’ ability to predict displacements and groundwater elevations provides a foundational framework for building future warning systems with additional inputs.     

水源热泵抽灌井布局及其运行过程中地下温度变化

本文以某水源热泵空调系统为例,建立了抽灌场地及周边地下水动力场与温度场的耦合数学模型,运用数值法求得系统运行过程中地下水的温度变化,分析了场地"热短路"效应和不同含水层中温度场的影响范围,以定量化的手段科学评价了场地抽灌井的布局及其可行性。分析结果表明,由于抽灌井之间的"热短路"程度较轻,场地的抽灌井布局可保证系统的高效运行。     

水源热泵系统的水问题研究

水源热泵系统是一种利用地下水与地表温度差的能源利用系统,它即可供热又可制冷,在水源热泵系统的建设和运行过程中,可能存在回灌堵塞、热污染、地面沉降等一系列水问题.为解决水源热泵系统运行过程中可能会出现的问题,通过对水源热泵系统的调查研究,对水源热泵系统运行过程中的有关水问题进行了分析,指出了水源热泵系统运行过程中可能存在...     

浅层地温能开发利用对地质环境影响程度的探索性研究

结合已施工的浅层地温能资源开发利用工程,在收集分析地质、水文地质和地源热泵项目资料基础上,建立了地源热泵监测系统,即地下水地源热泵系统监测站、地埋管地源热泵系统监测站和20个地源热泵系统监测点。通过布设温度传感器以及数据采集装置,对地源热泵系统进行动态监测,采用GPRS无线传输系统实现监测数据的远程传输。对所监测的数据进行分析,进而评估浅层地温能资源的开发利用对地质环境的影响程度,认为土壤温度场变化与深度存在一定的相关性,且地温的变化与系统的换热功率相关。     

Multivariate forecast of winter monsoon rainfall in India using SST anomaly as a predictor: Neurocomputing and statistical approaches

In this article, the complexities in the relationship between rainfall and sea surface temperature (SST) anomalies during the winter monsoon over India were evaluated statistically using scatter plot matrices and autocorrelation functions. Linear, as well as polynomial trend equations were obtained, and it was observed that the coefficient of determination for the linear trend was very low and it remained low even when polynomial trend of degree six was used. An exponential regression equation and an artificial neural network with extensive variable selection were generated to forecast the average winter monsoon rainfall of a given year using the rainfall amounts and the SST anomalies in the winter monsoon months of the previous year as predictors. The regression coefficients for the multiple exponential regression equation were generated using Levenberg-Marquardt algorithm. The artificial neural network was generated in the form of a multilayer perceptron with sigmoid non-linearity and genetic-algorithm based variable selection. Both of the predictive models were judged statistically using the Willmott's index, percentage error of prediction, and prediction yields. The statistical assessment revealed the potential of artificial neural network over exponential regression.     

Local climate change induced by groundwater overexploitation in a high Andean arid watershed,Laguna Lagunillas basin,northern Chile

The Laguna Lagunillas basin in the arid Andes of northern Chile exhibits a shallow aquifer and is exposed to extreme air temperature variations from 20 to ?25 °C. Between 1991 and 2012, groundwater levels in the Pampa Lagunillas aquifer fell from near-surface to ~15 m below ground level (bgl) due to severe overexploitation. In the same period, local mean monthly minimum temperatures started a declining trend, dropping by 3–8 °C relative to a nearby reference station. Meanwhile, mean monthly maximum summer temperatures shifted abruptly upwards by 2.7 °C on average in around 1996. The observed air temperature downturns and upturns are in accordance with detected anomalies in land-surface temperature imagery. Two major factors may be causing the local climate change. One is related to a water-table decline below the evaporative energy potential extinction depth of ~2 m bgl, which causes an up-heating of the bare soil surface and, in turn, influences the lower atmosphere. At the same time, the removal of near-surface groundwater reduces the thermal conductivity of the upper sedimentary layer, which consequently diminishes the heat exchange between the aquifer (constant heat source of ~10 °C) and the lower atmosphere during nights, leading to a severe dropping of minimum air temperatures. The observed critical water-level drawdown was 2–3 m bgl. Future and existing water-production projects in arid high Andean basins with shallow groundwater should avoid a decline of near-surface groundwater below 2 m bgl and take groundwater-climate interactions into account when identifying and monitoring potential environmental impacts.     

Performance evaluation of a ground-source heat pump system utilizing a flowing well and estimation of suitable areas for its installation in Aizu Basin,Japan

Development of a ground-source heat pump (GSHP) system with higher efficiency, and evaluation of its operating performance, is essential to expand the growth of GSHP systems in Japan. A closed-loop GSHP system was constructed utilizing a flowing (artesian) well as a ground heat exchanger (GHE). The system was demonstrated for space-heating and space-cooling of a room (area 126.7 m²) in an office building. The average coefficient of performance was found to be 4.5 for space-heating and 8.1 for space-cooling. The maximum heat exchange rate was 70.8 W/m for space-heating and 57.6 W/m for space-cooling. From these results, it was determined that a GSHP system with a flowing well as a GHE can result in higher performance. With this kind of highly efficient system, energy saving and cost reduction can be expected. In order to assess appropriate locations for the installation of similar kinds of GSHP systems in Aizu Basin, a suitability map showing the distribution of groundwater up-flowing areas was prepared based on the results of a regional-scale three-dimensional analytical model. Groundwater up-flowing areas are considered to be suitable because the flowing well can be constructed at these areas. Performance evaluation of the GSHP system utilizing the flowing well, in conjunction with the prepared suitability map for its installation, can assist in the promotion of GSHP systems in Japan.     

Assessing the impact of thermal feedback and recycling in open-loop groundwater heat pump (GWHP) systems: a complementary design tool

Thermal feedback and thermal recycling in open-loop groundwater heat pump (GWHP) systems occurs when a fraction of the injected water in a well doublet returns to the production well. They reflect two different mathematical representations of the same physical process. Thermal feedback assumes a constant injection temperature, while thermal recycling couples the injection and production temperatures by a constant temperature difference. It is shown that thermal feedback, commonly used in GWHP design, and recycling reflect two thermal end-members. This work addresses the coupled problem of thermal recycling, which is, so far, the missing link for complete GWHP assessment. An analytical solution is presented to determine the return-flow fraction in a well doublet and is combined with a heat-balance calculation to determine the steady-state well temperatures in response to thermal feedback and recycling. This is then extended to advective-dispersive systems using transfer functions, revealing that the well temperatures in response to thermal feedback and recycling are functions of the capture probability. Conjunctive interpretation of thermal feedback and recycling yields a novel design approach with which major difficulties in the assessment of the sustainability of GWHP systems can be addressed.