<i>Effects of water quality and nitrogen applied on soil salinity and cotton growth under drip irrigation in arid region</i>

2021 ◽  
Author(s):  
Chao Ma ◽  
Jun Wang ◽  
Jiusheng Li ◽  
Yanfeng Li
Keyword(s):  
Water Quality ◽  
Soil Salinity ◽  
Drip Irrigation ◽  
Arid Region

scholarly journals Soil salinization risk assessment owing to poor water quality drip irrigation: A case study from an olive plantation at the arid to semi-arid Beit She'an Valley, Israel

2020 ◽  
Author(s):  
Vladimir Mirlas ◽  
Yaakov Anker ◽  
Asher Aizenkod ◽  
Naftali Goldshleger
Keyword(s):  
Water Quality ◽  
Soil Fertility ◽  
Soil Salinity ◽  
Irrigation Water ◽  
Drip Irrigation ◽  
Field Experiments ◽  
Soil Salinization ◽  
Treated Wastewater ◽  
Economic Damage ◽  
Study Objective

Abstract. Salinization causes soil degradation and soil fertility reduction. The main reasons for soil salinization are poor irrigation water quality and incorrect irrigation management. Soil salinization is accelerated owing to irrigation with treated wastewater with elevated salt concentration. The study area is located in the Beit She'an Valley, one of the most important agricultural regions in Israel. The combination of soil salinization and poor drainage conditions impedes plant development and is manifested in economic damage to crops. Without clear irrigation criteria, an increase in soil salinity and steady damage to soil fertility might occur. The study objective was to provide an assessment of soil salting processes as a result of low-quality irrigation water at the Kibbutz Meirav olive plantation. This study combined various research methods, including soil salinity monitoring, field experiments, remote sensing (FDEM), and unsaturated soil profile saline water movement modeling. The assessment included the salinization processes of chalky soil under drip irrigation by water with various qualities. With a drip irrigation regime of water with a dissolved salt content of 3.13 dS/m, the salinization process is characterized by salts accumulation in the upper root zone of the trees. The modeling results showed that there is a soil salinization danger in using brackish water and that irrigation with potable water helps to reduce soil salinization.

Impacts of inter-basin water transfer on the water quality of receiving reservoirs in a tropical semi-arid region

Hydrobiologia ◽  
2021 ◽  
Author(s):  
José Etham de Lucena Barbosa ◽  
Juliana dos Santos Severiano ◽  
Hérika Cavalcante ◽  
Daniely de Lucena-Silva ◽  
Camila Ferreira Mendes ◽  
...  
Keyword(s):  
Water Quality ◽  
Arid Region ◽  
Water Transfer ◽  
Basin Water ◽  
Semi Arid Region ◽  
Semi Arid

Hydrochemistry, δD and δ18O to explain the distribution of water quality in a karst setting in the semi-arid region of Northeast Mexico

2021 ◽  
Vol 80 (1) ◽  
Author(s):  
René Ventura-Houle ◽  
Oscar Guevara-Mansilla ◽  
Glenda Requena-Lara ◽  
Elizabeth Andrade-Limas ◽  
Elisenda López-Altarriba
Keyword(s):  
Water Quality ◽  
Arid Region ◽  
Semi Arid Region ◽  
Δd And Δ18o ◽  
Semi Arid

Soil salinity and water quality

1997 ◽  
Vol 33 (2-3) ◽  
pp. 215-217
Author(s):  
J.D. Oster
Keyword(s):  
Water Quality ◽  
Soil Salinity

scholarly journals Top soil salinity prediction in South-Western part of Urmia Lake with ground water data

2014 ◽  
Vol 4 (1) ◽  
pp. 57-63 ◽  
Author(s):  
N Hamzehpour ◽  
MK Eghbal ◽  
P Bogaert ◽  
N Toomanian
Keyword(s):  
Water Quality ◽  
Soil Salinity ◽  
Activity Ratio ◽  
Underground Water ◽  
Soil Samples ◽  
Urmia Lake ◽  
Quality Data ◽  
Agricultural Lands ◽  
Sodium Activity ◽  
Top Soil

Drying of Urmia Lake in the north-west of Iran threatens all the agricultural lands around the Lake. Therefore, soil salinity appears to be the major threat to the agricultural lands in the area. The aim of the present study was to investigate the spatial variation of top soil salinity by taking into account of underground water quality data as secondary information. The research was performed on a grid of 500 m in an area of 5000 ha. Soil samples were gathered during the autumn of 2009 and were repeated in the spring of 2010. Electrical conductivity of soil samples was measured in a 1:2.5 soil to water suspension. Then covariance functions were build for each data set and soil salinity prediction were done on a grid of 100 m using kriging estimator with taking into account the mean variation. Afterwards sodium activity ratio derived from underground water quality database was used as covariate to develop cross-semivarograms in prediction of top soil salinity using cokriging method. Results demonstrated that soil salinity varied from values lower than 0.5 to more than 35 dSm-1 as a function of distance to the Lake. Cross-validating the results from salinity predictions using only kriging estimator to that of cokriging with sodium activity ratio data revealed that kriging offered better estimations with ME of 0.04 for autumn 2009 and -0.12 for spring 2010. Cokriging estimator had more smoother and diffused boundaries than that of kriging and resulted in more bias estimations (ME= -0.11 and -0.21 for first and second data sets). Although kriging method had better performance in top soil salinity prediction, but cokring method resulted in smoother boundaries and reduced the negative effects of mean variation in the area. DOI: http://dx.doi.org/10.3329/ijarit.v4i1.21093 Int. J. Agril. Res. Innov. & Tech. 4 (1): 57-63, June, 2014

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