Department of Water Sciences, Faculty of Engineering Sciences, Sari University of Agricultural Sciences and Natural Resources, Sari, Km 9 Farah Abad Road, Sari, Mazandaran, 48181-68984, Iran.
Department of Agroecology, Aarhus University, Blichers Allé 20, 8830, Tjele, Denmark.
Environ Monit Assess. 2019 Jul 12;191(8):492. doi: 10.1007/s10661-019-7613-y.
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 km 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.
灌溉水盐度是降低农业产量的因素之一。吉兰省是伊朗最重要的稻米产区之一,那里的地下水被用于灌溉。本研究使用来自 73 口井的数据,研究了覆盖该省 4285 公里的沿海地带的地下水盐度的时空变化及其对稻米产量的估计影响。对 2002 年下半年至 2014 年底连续 12 年每 6 个月的平均电导率(EC)数据进行了分析,得出 25 个平均 EC 值。在 ArcGIS 9.3 软件中,分别使用普通克里金(OK)和指示克里金(IK)获得 EC 图和高盐度区域概率图。由此勾勒出不同盐度类别的区域,并确定了降低稻米产量的高盐度区域。此外,还使用 Mann-Kendall 检验和 Sen 斜率法对未来变化进行了预测。结果表明,由于沿海地区地下水的盐度,稻米的最低和最高产量分别为 80%和 100%。使用 IK 方法,发现从中部向东部,地下水盐度降低产量的可能性更高。Mann-Kendal 检验结果表明,低于 100%产量(EC<1 dS/m)和 90-100%产量(1<EC<1.34 dS/m)阈值的面积的时间趋势显著。Sen 斜率估计量给出的方程表明,从 2021 年开始,在吉兰省所有沿海地区,地下水盐度将不再是实现 100%稻米产量的限制因素。该地区降水增加的趋势可能是一个重要原因。