Use of hydrologic time series data for identification of recharge mechanism in a fractured bedrock aquifer system

The paper presents hydrogeologic properties for a leaky till–mantled fractured bedrock aquifer system based on geophysical and hydraulic tests performed at a drumlin located in northeastern Massachusetts, USA. The site profile consists of a fractured bedrock aquifer overlain by a 30 m thick unweathered, coarse-grained till aquitard. Steady state, decadal scale, hydraulics varied little until seasonal irrigation pumping was initiated in recent years, causing a substantial annual drawdown in the aquifer and leakage from the overlying till. High frequency hydraulic head data sets collected in monitoring wells record the hydraulic response to the irrigation pumping. These data sets, together with results from small scale slug and purge tests performed in monitoring wells, are used to characterize the hydrogeologic behavior of this groundwater system. Geophysical logging performed in bedrock wells confirmed the presence of numerous flowing fractures. The large-scale continuum analysis of the fractured bedrock aquifer response to the irrigation pumping yields transmissivity values consistent with those determined from the small-scale, short-term purge test results. The low hydraulic conductivity till has a significant impact on the drawdown behavior of the fractured bedrock aquifer. Calibrated values from the collective data sets and analyses result in the following properties for the 30 m thick unweathered till: hydraulic conductivity K′ = 7.2 × 10−9 m/s, transmissivity T′ = 2.3 × 10−8 m2/s, and storativity S′ = 2.7 × 10−4, and for the underlying fractured bedrock aquifer: T = 6.5 × 10−6 m2/s with an average fracture aperture of 46 μm and hydraulic conductivity Kf = 1.3 × 10−3 m/s. These results should describe similar unweathered coarse-grained till–mantled fractured bedrock aquifer systems and provide useful data for preliminary analyses prior to any site-specific investigations.

Download Full-text

HYDROLOGIC TIME SERIES DATA MODELING USING MULTIPLICATIVE ARIMA

Advances in Geosciences ◽

10.1142/9789812836144_0008 ◽

2010 ◽

pp. 81-94

Author(s):

CHAKKRAPONG TAEWICHIT ◽

SUWATANA CHITTALADAKORN

Keyword(s):

Time Series ◽

Time Series Data ◽

Data Modeling ◽

Series Data ◽

Hydrologic Time Series

Download Full-text

Use of Hydrologic Time Series Data for Analysis the Karstic Drought Characteristic

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.641-642.127 ◽

2014 ◽

Vol 641-642 ◽

pp. 127-131

Author(s):

Li Hong Liu ◽

Da Sheng Wang ◽

He Huang ◽

Guang Quan Xu

Keyword(s):

Time Series ◽

Time Series Data ◽

Series Data ◽

Water Volume ◽

Significant Heterogeneity ◽

Drought Duration ◽

Hydrologic Time Series ◽

Drought Hazard ◽

Groundwater Drought ◽

Drought Frequency Analysis

Karstification creates significant heterogeneity of hydraulic conductivity within the aquifer, where flows are organized to a hierarchical structure, from the surface to the spring. A karstic aquifer subjected to groundwater flood and drought, as a site for the occurrence of karst groundwater, is the main or unique focus for groundwater development and utilization in southwestern China. The present paper introduces a methodology devoted to groundwater drought hazard assessment. It focuses on groundwater drought by applying of the spring time series for an estimate and categorization of operating resources of groundwater. The results show that a permit for use of water for ER1+ER2 up to 0.48 m3/s, with the exceeding probability 80% selected for representing dry. The longest drought duration time was happened in the year 1993 with the 2.9×106m3 shortage of water volume. Groundwater drought frequency analysis provides a useful tool for water management.

Download Full-text

Time Series Outlier Detection Based on Sliding Window Prediction

Mathematical Problems in Engineering ◽

10.1155/2014/879736 ◽

2014 ◽

Vol 2014 ◽

pp. 1-14 ◽

Cited By ~ 23

Author(s):

Yufeng Yu ◽

Yuelong Zhu ◽

Shijin Li ◽

Dingsheng Wan

Keyword(s):

Time Series ◽

Outlier Detection ◽

Time Series Data ◽

Series Data ◽

Forecasting Model ◽

Data Series ◽

Hydrologic Time Series ◽

Prediction Confidence ◽

Evaluation Of Data ◽

Operation And Management

In order to detect outliers in hydrological time series data for improving data quality and decision-making quality related to design, operation, and management of water resources, this research develops a time series outlier detection method for hydrologic data that can be used to identify data that deviate from historical patterns. The method first built a forecasting model on the history data and then used it to predict future values. Anomalies are assumed to take place if the observed values fall outside a given prediction confidence interval (PCI), which can be calculated by the predicted value and confidence coefficient. The use ofPCIas threshold is mainly on the fact that it considers the uncertainty in the data series parameters in the forecasting model to address the suitable threshold selection problem. The method performs fast, incremental evaluation of data as it becomes available, scales to large quantities of data, and requires no preclassification of anomalies. Experiments with different hydrologic real-world time series showed that the proposed methods are fast and correctly identify abnormal data and can be used for hydrologic time series analysis.

Download Full-text

Extending HydroShare to enable hydrologic time series data as social media

Journal of Hydroinformatics ◽

10.2166/hydro.2015.331 ◽

2015 ◽

Vol 18 (2) ◽

pp. 198-209 ◽

Cited By ~ 5

Author(s):

Jeffrey M. Sadler ◽

Daniel P. Ames ◽

Shaun J. Livingston

Keyword(s):

Social Media ◽

Time Series ◽

Web Services ◽

Data Management ◽

Data Storage ◽

Time Series Data ◽

Series Data ◽

Design Development ◽

Scientific Discussion ◽

Hydrologic Time Series

The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) hydrologic information system (HIS) is a widely used service oriented system for time series data management. While this system is intended to empower the hydrologic sciences community with better data storage and distribution, it lacks support for the kind of ‘Web 2.0’ collaboration and social-networking capabilities being used in other fields. This paper presents the design, development, and testing of a software extension of CUAHSI's newest product, HydroShare. The extension integrates the existing CUAHSI HIS into HydroShare's social hydrology architecture. With this extension, HydroShare provides integrated HIS time series with efficient archiving, discovery, and retrieval of the data, extensive creator and science metadata, scientific discussion and collaboration around the data and other basic social media features. HydroShare provides functionality for online social interaction and collaboration while the existing HIS provides the distributed data management and web services framework. The extension is expected to enable scientists to access and share both national- and laboratory-scale hydrologic time series datasets in a standards-based web services architecture combined with social media functionality developed specifically for the hydrologic sciences.

Download Full-text

Hydrodynamic Characterization of Mugla Karst Aquifer Using Correlation and Spectral Analyses on the Rainfall and Springs Water-Level Time Series

Water ◽

10.3390/w12010085 ◽

2019 ◽

Vol 12 (1) ◽

pp. 85

Author(s):

Çağdaş Sağır ◽

Bedri Kurtuluş ◽

Moumtaz Razack

Keyword(s):

Time Series ◽

Water Level ◽

Time Series Data ◽

Karst Aquifer ◽

Series Data ◽

Karst Aquifers ◽

Wet Season ◽

Spectral Analyses ◽

Aquifer System

Karst aquifers have been an important research topic for hydrologists for years. Due to their high storage capacity, karst aquifers are an important source of water for the environment. On the other hand, it is safety-critical because of its role in floods. Mugla Karst Aquifer (SW, Turkey) is the only major water-bearing formation in the close environs of Mugla city. Flooding in the wet season occurs every year in the recharge plains. The aquifer discharges by the seaside springs in the Akyaka district which is the main touristic point of interest in the area. Non-porous irregular internal structures make the karsts more difficult to study. Therefore, many different methodologies have been developed over the years. In this study, unit hydrograph analysis, correlation and spectral analyses were applied on the rainfall and spring water-level time series data. Although advanced karst formations can be seen on the surface like the sinkholes, it has been revealed that the interior structure is not highly karstified. 100–130 days of regulation time was found. This shows that the Mugla Karst has quite inertial behavior. Yet, the storage of the aquifer system is quite high, and the late infiltration effect caused by alluvium plains was detected. This characterization of the hydrodynamic properties of the Mugla karst system represents an important step to consider the rational exploitation of its water resources in the near future.

Download Full-text