New variogram modeling method using MGGP and SVR     

Changik Han  Jiyang Wang  Mingguo Zheng  Ende Wang  Jianming Xia  GwangSu Li  Sunchol Choe 《Earth Science Informatics》2016,9(2):197-213

A critical step for kriging in geostatistics is estimation of the variogram. Traditional variogram modeling comprise of the experimental variogram calculation, appropriate variogram model selection and model parameter determination. Selecting of the variogram model and fitting of model parameters is the most controversial aspect of geostatistics. Shapes of valid variogram models are finite, and sometimes, the optimal shape of the model can not be fitted, leading to reduced estimation accuracy. In this paper, a new method is presented to automatically construct a model shape and fit model parameters to experimental variograms using Support Vector Regression (SVR) and Multi-Gene Genetic Programming (MGGP). The proposed method does not require the selection of a variogram model and can directly provide the model shape and parameters of the optimal variogram. The validity of the proposed method is demonstrated in a number of cases.  相似文献   

An integrated GIS-based tool for aquifer test analysis     

R. Criollo  V. Velasco  E. Vázquez-Suñé  A. Serrano-Juan  M. Alcaraz  A. García-Gil 《Environmental Earth Sciences》2016,75(5):391

  相似文献   

Evolution of the pollution in the Piedras River Natural Site (Gulf of Cadiz,southern Spain) during the Holocene     

J. Lario  J. Alonso-Azcárate  C. Spencer  C. Zazo  J. L. Goy  A. Cabero  C. J. Dabrio  F. Borja  C. Borja  J. Civis  M. García-Ródriguez 《Environmental Earth Sciences》2016,75(6):481

  相似文献   

Hydrochemical and sedimentological dynamics in a subtropical plain river: assessment by multivariate statistical analysis     

Paola A. Suárez  Marisol Vega  Rafael Pardo  Oscar Orfeo  José Luis García Cuesta  Alicia Ronco 《Environmental Earth Sciences》2016,75(12):1004

  相似文献   

Occurrence and distribution of selected potentially toxic elements in soils of playing sites: a case study from Bratislava,the capital of Slovakia     

Edgar Hiller  Lucia Lachká  Ľubomír Jurkovič  Ondrej Ďurža  Katarína Fajčíková  Jaroslav Vozár 《Environmental Earth Sciences》2016,75(20):1390

  相似文献   

False low water content in road field compaction control using nuclear gauges: a case study     

Mário Quinta-Ferreira  José Feiteira Dias  Santiago Alija 《Environmental Earth Sciences》2016,75(14):1114

  相似文献   

Qanat is not a hazard     

Mario Parise 《Environmental Earth Sciences》2016,75(23):1476

Comments are presented on the article by Abbasnejad et al. (Environ Earth Sci 75:1306, 2016) dealing with qanat and hazards in Iran. My rebuttal starts from the direct attribution of the described hazards to qanat and addresses the importance in the correct use of terminology for geological hazards. All of the problems pointed out in Iran (subsidence, sinkholes, pollution) have, to me, an anthropogenic origin and cannot be directly ascribed to qanat. Eventually, I present some additional elements to highlight the remarkable importance of qanat systems and their influence on the development of similar underground structures in many countries of the Mediterranean Basin. This remarks the relevance of qanat as cultural heritage sites and the need for their preservation and valorization.  相似文献   

Characteristics of deuterium excess parameters for geothermal water in Beijing     

Kai Liu  Xiaojuan Qiao  Baoling Li  Ying Sun  Zhiping Li  Conglin Pu 《Environmental Earth Sciences》2016,75(23):1485

This study investigates the characteristics of geothermal water in 10 geothermal fields in Beijing. The relationships between the deuterium excess parameter (d) and temperature, depth, age of geothermal groundwater, groundwater flow field, and Eh were investigated using geothermal groundwater samples. Results showed that (1) the average d value of geothermal water is 5.4, whereas that of the groundwater in normal temperature is 6.04. The differences are induced by the oxygen isotope exchange during the water–rock interaction, which may be more easily completed in geothermal water than in cold groundwater. (2) The d value increases remarkably with the age of the geothermal groundwater. The d value increases from 11.2 to 14.6 when the age of the geothermal water is 12,760 ± 130 a and 38,960 ± 630 a, respectively. Moreover, the isotope heat exchange for composition of the hydrogen and oxygen isotopes in the geothermal groundwater proceeds sufficiently with time. (3) The d value decreases from 5.72 to 3.03 when the depth increases from 125.13 to 3221 m. Generally, in the same area, the d value decreases with depth because the temperature is increasing. (4) The d value of the groundwater gradually reduces from the northern recharge area to the southern discharge area. The average d value is 7.31 in the northern recharge area and 5.68 in the middle Beijing Depression, whereas the d value in the southern area of Fengheying is ?9.20. The larger difference in d values between the recharge and discharge areas is due to the slower velocity of underwater flow, which induces longer time for oxygen exchange. (5) The relationship between the d and Eh is complex. When Eh is <200 mV, the d value of the geothermal water decreases with the decrease in Eh. When Eh is higher than 200 mV, the d value increases slightly with the decrease in Eh. The study of the characteristics of deuterium excess parameters for geothermal water could provide a scientific isotopic evidence for assessment and exploitation measures in geothermal groundwater systems.  相似文献   

2D probabilistic prediction of sparsely measured earth properties constrained by geophysical imaging fully accounting for tomographic reconstruction ambiguity     

Abduljabbar Asadi  Peter Dietrich  Hendrik Paasche 《Environmental Earth Sciences》2016,75(23):1487

Many hydrological, environmental, or engineering exploration tasks require predicting spatially continuous scenarios of sparsely measured borehole logging data. We present a methodology to probabilistically predict such scenarios constrained by ill-posed geophysical tomography. Our approach allows for transducing tomographic reconstruction ambiguity into the probabilistic prediction of spatially continuous target parameter scenarios. It is even applicable to data sets where petrophysical relations in the survey area are non-unique, i.e., different facies related petrophysical relations may be present. We employ static two-layer artificial neural networks (ANNs) for prediction and additionally evaluate, whether the training performance of the ANNs can be used to rank geophysical tomograms, which are mathematically equal reconstructions of physical parameter distributions in the ground. We illustrate our methodology using a realistic synthetic database for maximal control about the prediction performance and ranking potential of the approach. For doing so, we try to link geophysical radar and seismic tomography as input parameters to porosity of the ground as target parameter of ANN. However, the approach is flexible and can cope with any combination of geophysical tomograms and hydrologic, environmental or engineering target parameters. Ranking of equivalent geophysical tomograms based on additional borehole logging data is found to be generally possible, but risks remain that the ranking based on the ANN training performance does not fully coincide with the closeness of geophysical tomograms to ground truth. Since geophysical field data sets do usually not offer control options similar to those used in our synthetic database, we do not recommend the utilization of recurrent ANNs to learn weights for the individual geophysical tomograms used in the prediction procedure.  相似文献   

Sorption behaviour of pentachlorophenol in sub-Saharan tropical soils: soil types sorption dynamics     

Bamidele I. Olu-Owolabi  Paul N. Diagboya  Chukwunonso P. Okoli  Kayode O. Adebowale 《Environmental Earth Sciences》2016,75(24):1494

In order to predict exposure risks as well as appropriate remediation strategies for pesticides in soils, knowledge of pesticides sorption processes onto various representative soils is vital. Hence, laboratory batch experiments were carried out to study sorption of a pesticide, pentachlorophenol (PCP), on five soils obtained from different sub-Saharan agro-ecological zones (AEZs) in order to understand sorption equilibrium, kinetics, and thermodynamics. Experimental data showed that sorption equilibrium was attained within 24 h. The fitting of kinetic results and equilibrium data to different models suggested partly surface adsorption and partly partitioning of PCP within voids of the various soil components. Sorption was mainly attributed to sharing or exchange of valence electrons between negatively charged PCP molecules and positively charged soil sorption sites. The sorption process was spontaneous and accompanied by decreased entropy, but was pH and temperature dependent, reducing with increase in pH and temperature. The various soils’ PCP sorption capacities were directly proportional to their cation exchange capacities. The low PCP sorption observed in these soils suggested high risk of PCP being present in soil water solution, especially at higher temperatures, which can lead to contamination of the aquifer. This risk may be higher for soils obtained from AEZs with warmer natural temperatures.  相似文献