Literature DB >> 31300895

Rice yield estimation based on forecasting the future condition of groundwater salinity in the Caspian coastal strip of Guilan Province, Iran.

Hedyeh Pouryazdankhah1,2, Ali Shahnazari3, Mirkhalegh Z Ahmadi1, Mohammadreza Khaledian4,5, Mathias N Andersen2.   

Abstract

Irrigation water salinity is one of the factors that reduces agricultural production. Guilan Province is one of the most important rice-producing areas in Iran where groundwater is used for irrigation. The temporal and spatial variations of groundwater salinity were studied in the coastal strip covering 4285 km2 of the province using data from 73 wells, as well as its estimated effect on the rice yield. Data on mean electrical conductivity (EC) for each 6-month period of 12 consecutive years, from the second half of 2002 until the end of 2014, were analyzed and resulted in 25 mean ECs. EC maps and maps of the probability of higher salinity areas were obtained by using ordinary kriging (OK) and indicator kriging (IK) in ArcGIS 9.3 software, respectively. Thereby, areas belonging to different salinity classes were outlined and places with higher salinity reducing the rice yield were identified. In addition, the Mann-Kendall test and Sen's slope were used to project future changes. The results indicated that due to the salinity of groundwater in the coastal strip area, the minimum and the maximum rice yields were 80% and 100%, respectively. Using the IK method, higher probability of groundwater salinity reducing the yield was found from the central parts toward the east. The Mann-Kendal test result showed significant temporal trends of the size of areas below the 100% yield (EC < 1 dS/m) and 90-100% yield (1 < EC < 1.34 dS/m) thresholds. The equations given by Sen's slope estimator indicated that the groundwater salinity will not be a limiting factor for achieving 100% rice yields from the year of 2021 onward in all of the Guilan coastal area. The trend of increasing precipitation in the area may be an important cause.

Entities:  

Keywords:  Groundwater salinity; Indicator kriging; Ordinary kriging; Rice yield; Vulnerability maps

Mesh:

Year:  2019        PMID: 31300895     DOI: 10.1007/s10661-019-7613-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

1.  Assessment of nitrate pollution in the Grand Morin aquifers (France): combined use of geostatistics and physically based modeling.

Authors:  Nicolas Flipo; Nicolas Jeannée; Michel Poulin; Stéphanie Even; Emmanuel Ledoux
Journal:  Environ Pollut       Date:  2006-08-23       Impact factor: 8.071

2.  Variability of soil-water quality due to Tsunami-2004 in the coastal belt of Nagapattinam district, Tamilnadu.

Authors:  H Chandrasekharan; A Sarangi; M Nagarajan; V P Singh; D U M Rao; P Stalin; K Natarajan; B Chandrasekaran; S Anbazhagan
Journal:  J Environ Manage       Date:  2007-05-24       Impact factor: 6.789

3.  Spatial variability of groundwater depth and quality parameters in the National Capital Territory of Delhi.

Authors:  J P Dash; A Sarangi; D K Singh
Journal:  Environ Manage       Date:  2010-02-04       Impact factor: 3.266

4.  Preliminary assessment of groundwater hydrogeochemistry within Gilan, a northern province of Iran.

Authors:  M J Nematollahi; M J R Clark; P Ebrahimi; M Ebrahimi
Journal:  Environ Monit Assess       Date:  2018-03-23       Impact factor: 2.513

5.  Categorical Indicator Kriging for assessing the risk of groundwater nitrate pollution: the case of Vega de Granada aquifer (SE Spain).

Authors:  Mario Chica-Olmo; Juan Antonio Luque-Espinar; Victor Rodriguez-Galiano; Eulogio Pardo-Igúzquiza; Lucía Chica-Rivas
Journal:  Sci Total Environ       Date:  2013-10-16       Impact factor: 7.963

6.  Evaluation of potential health risk of arsenic-affected groundwater using indicator kriging and dose response model.

Authors:  Jin-Jing Lee; Cheng-Shin Jang; Sheng-Wei Wang; Chen-Wuing Liu
Journal:  Sci Total Environ       Date:  2007-07-12       Impact factor: 7.963

  6 in total

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