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Friday, July 17, 2020 | History

2 edition of Geostatistical applications to salinity mapping and simulated reclamation found in the catalog.

Geostatistical applications to salinity mapping and simulated reclamation

Mohamad A. Taher

Geostatistical applications to salinity mapping and simulated reclamation

by Mohamad A. Taher

  • 100 Want to read
  • 6 Currently reading

Published .
Written in English

    Subjects:
  • Soil salinization.,
  • Soils, Salts in -- Mathematical models.,
  • Soil mapping -- Statistical methods.

  • Edition Notes

    Statementby Mohamad A. Al-Taher.
    The Physical Object
    Pagination132 leaves, bound :
    Number of Pages132
    ID Numbers
    Open LibraryOL15205192M

    Soil salinization in the lower reaches of Amudarya is a constant threat. High seepage losses in irrigation water delivery network and deteriorated dra. Geostatistics in Genstat. in: Oliver, M. A. (ed.) Geostatistical applications for precision agriculture Springer, Berlin. pp. Weeds, worms and geostatistics B - Book chapters etc edited externallyCited by:

    Chapters cover the steps and methodologies involved in typical reservoir modeling, and examine preliminary statistical concepts, gridding reservoir layers, quantifying spatial correlation, mapping concepts, cell-based and object-based facies modeling, porosity and permeability modeling, simulated annealing for geostatistics, and uncertainty 5/5(3). Peer Review Publications. Manchuk, J.G. and Deutsch, C.V., “Boundary Modeling with Moving Least Squares”, Accepted by CAGEO, February , (31 pages) Reclamation and Environment, February, , (13 pages) Using the Critical Temperature to Improve the Speed of Geostatistical Applications of Simulated Annealing, GEOSTATS

    In this study, we employed the EM38 to study spatial variability of soil salinity in a coastal paddy field. Significant correlation relationship between EC a and EC (i.e. r >) allowed us to use EM38 data to characterize the spatial variability of soil salinity. Geostatistical methods were used to determine the horizontal spatio-temporal Cited by:   Abstract. Soil salinity spreads in more than countries, and no continent is completely free from salinity. The level of salinity problem varies trans-country and even within the country at different locations, landforms, and irrigated agriculture regions to farmers’ by:


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Geostatistical applications to salinity mapping and simulated reclamation by Mohamad A. Taher Download PDF EPUB FB2

Geostatistical methods were used to find efficient and accurate means for salinity assessment using regionalized random variables and limited sampling. The random variables selected, sodium absorption ratio (SAR), electrical conductivity (EC), and clay content were measured on samples taken over an area of fifteen square : Mohamad A.

Al-Taher. Geostatistical applications to salinity mapping and simulated reclamation. Abstract. Graduation date: Geostatistical methods were used to find efficient and accurate means for\ud salinity assessment using regionalized random variables and limited sampling.

The\ud random variables selected, sodium absorption ratio (SAR), electrical. The papers assembled here cover topics such as technological advances in soil salinity mapping and monitoring, management and reclamation of salt-affected soils, use of marginal quality water for crop production, salt-tolerance mechanisms in plants, biosaline agriculture and agroforestry, microbiological interventions for marginal soils, opportunities and challenges in using marginal waters.

As we saw in the previous chapter, there are many Geostatistical applications to salinity mapping and simulated reclamation book techniques that can be used to map environ-3 mental variables.

In reality, we always try to go for the most flexible, most comprehensive and the most robust 4 technique (preferably implemented in a software with an user-friendly GUI). In fact, many (geo)statisticians 5. In order to implement efficient agronomic and environmental management, as well as soil reclamation programs to prevent any further salinization of agricultural lands, accurate soil salinity.

Developments in Soil Salinity Assessment and Reclamation pp () Spatiotemporal Variability and Mapping of Groundwater Salinity in Tadla: Geostatistical Approach.

In: Shahid S., Abdelfattah M., Taha F. (eds) Developments in Soil Salinity Assessment and Reclamation. Cited by: 3. Geostatistical mapping can be defined as analytical production of maps by using field observations, auxiliary information and a computer program that generates predictions.

The purpose of this guide is to assist you in producing quality maps by using fully-operational open source software packages: R+gstat/geoR and SAGA GIS. Developments in Soil Salinity Assessment and Reclamation The papers assembled here cover topics such as technological advances in soil salinity mapping and monitoring, management and reclamation of salt-affected soils, use of marginal quality water for crop production, salt-tolerance mechanisms in plants, biosaline agriculture and.

Geostatistical mapping can be defined as analytical production of maps by using field observations, auxiliary information and a computer program that calculates values at locations of interest. Geostatistical methods to identify and map spatial variations of soil salinity.

This study has elucidated the spatial correlations and variations in soil measures related to salinity. The results of the geostatistical analyses can be applied in making decisions regarding environmental monitoring, remediation, land management and planning. Cited by:   Kriging with external drift (KED) is a valuable technique for improving the mapping of the shallow watertable but has received little application in salinity management.

It is a geostatistical. 4 Mapping Horizontal and Vertical Spatial Variability 37 electrical conductivity of 10 mS/m for both layers, a depth of m for the fi rst upper layer, and a depth of m for the bottom.

Published inthe first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance.

It emphasized the interaction between geophysicists, geologists, and engineers, and was received well by professionals, academics, and both graduate and undergraduate by: The potential of deterministic interpolation methods (IDW) and geostatistical techniques (Ordinary Kriging) in mapping surface soil salinity was evaluated in a GIS environment through cross.

The results indicate that MODIS imageries improve the capability of geostatistical methods for soil salinity mapping. The results showed that the use of MODIS imageries increased the G-Values of RK by 13%, 5%, 3%, 7% and 1% on average for OM, SAR, Na, K, and Mg : Sanaz Zare, Seyed Rashid Fallah Shamsi, Seyed Ali Abtahi.

Mapping Soil Salinity in El-Tina Plain in Egypt Using Geostatistical Approach 83 Fig. 1: Study area location and sampling design Geostatistical mapping of soil salinity Geostatistical techniques, including analyses of semivariograms, cross-validation, kriging and mapping of kriged estimates (GOOVAERTS ) were used to determine the variance.

A Practical Guide to Geostatistical Mapping by Tomislav Hengl | p. | ISBN About; Mapping population change index in Southern Serbia (–) as a function of environmental factors Data sets. - Wed, 12/02/ - Data sets used in this book are provided as a supplement to the exercise.

This data. Geostatistical Application to Salinity Mapping and Simulated Reclamation by Mohamad A. Al-Taper A THESIS submitted to Oregon State University in partial fulfillment of the requirement for the degree of Doctor of Philosophy Completed Decem Commencement June Title: A Practical Guide to Geostatistical Mapping of Environmental Variables Author(s): Tomislav Hengl Luxembourg: Office for Official Publications of the European Communities — pp.

— Ö cm EUR — Scientific and Technical Research series. Therefore, the application of geostatistical and multivariate statistical methods is recommended. In principle, both types of statistics are able to detect spatial. Douaik A () Evaluation of the space-time variability of soil salinity by statistical, geostatistical, and Bayesian maximum entropy methods.

PhD thesis, Ghent University, Ghent Google Scholar Douaik A, Van Meirvenne M, Toth T, Serre ML () Space-time mapping of soil salinity using probabilistic Bayesian maximum by: 1.Journal of Integrative Agriculture18(2): – RESEARCH ARTICLE Available online at ScienceDirect Using proximal sensor data for soil salinity management and mapping GUO Yan1, 2, ZHOU Yin2, ZHOU Lian-qing2, 3, LIU Ting1, WANG Lai-gang1, CHENG Yong-zheng1, HE Jia1, ZHENG Guo-qing1 1 Institute of Agricultural Economics and Information, Henan Cited by: 1.Key words: Map, IDW, soil salinity, Damghan plain, geostatistical analyses Introduction Soil salinity refers to the presence in soil and water of various electrolytic mineral solutes in concentrations that are harmful to many agricultural crops [4,16,17,18,20].

Postel [9] estimates that soil salinization costs the.