Mapping multi‐year ground water salinity patterns in irrigation areas using time‐series analysis of ground water salinity maps

Abstract

Abstract:In irrigation areas, ground water salinity (GWS) levels may vary depending on the amount and quality of irrigation water applied and on the activity of the drainage system. GWS plays a vital role in irrigation systems by influencing whether the environment is suitable for plant growth. Hence, it is necessary to monitor changes in GWS both temporally and spatially. Maps are generally used to visualize this information. However, evaluation of temporal and spatial variations of GWS can be difficult because of the necessity of assessing many maps together to understand both temporal and spatial changes.In this study, a data assessment method that can be used for multi-year ground water salinity evaluations is presented. The method looks at the spatial and temporal relationships between the main salinity classes present in the study area, their typical locations (i.e. areas where the salinity classes are most frequently located), and the alternate salinity classes in those locations in any of the years of the time series. As a case study, the method was applied to multi-year (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000) GWS observations in the Mustafakemalpasa irrigation project (19 370 ha) in the Marmara region of north-western Turkey.

Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

“…They used variables of depth to groundwater, recharge, water content of the unsaturated zone, and soil salinity as input data. Gundogdu and Aslan [77] in a similar case predicted the salinity maps. However, time-series prediction for salinity is associated with a number of drawbacks including accuracy and generalization [78], [79].…”

Dynamics of saline-alkali land and its ecological regionalization in western Songnen Plain, China

“…The accuracy of the results interpreted through computer image processing was still inferior to that from visual interpretation, hardly meeting the demand of dynamic change analysis at regional scale (Schoups et al, 2006;Shi et al, 2007;Qadir et al, 2008). On the other hand, the researches on saline-alkali land dynamic change were almost limited to recent 30 years due to the availability of remote sensed data (Gundogdu and Aslan, 2008;Gomez-Valdes and Jeronimo, 2009). Therefore it is difficult to reveal the earlier characteristics of saline-alkali land in the case of less human interferences.…”