Predicting Subsurface Drainage Requirement for Different Soil Desalinization Goals in Coastal Reclamation Areas

IF 3.6 2区 农林科学 Q2 ENVIRONMENTAL SCIENCES
Yawen Chen, Zhonghua Jia, Yuxuan Wu, Ziqi Sha, Wan Luo
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Abstract

Building subsurface drainage systems for more efficient salt leaching with the natural rainfall or artificial irrigation is a widely accepted practice for saline soils reclamation, but the high initial cost of the system construction often limits its adoption, and the uncertainty in drainage intensity requirement to meet desired desalinization goals for field crop production challenges the system design. In this paper, we proposed a soil desalinization model based on the field hydrology model-DRAINMOD, predicted number of years required to lower soil salinity to a threshold level under different subsurface drainage conditions, and estimated the net return from different subsurface drainage system layout based on a case study in a coastal reclamation area in eastern China. The results showed that, DRAINMOD accurately predicted water table fluctuations in artificially drained fields: the root mean square error to standard deviation ratio (RSR) was 0.4 and 0.54, and the Nash Sutcliffe efficiency (NSE) was 0.84 and 0.68, respectively, during the model calibration and validation periods. The DRAINMOD based soil desalinization model predicted a negative relationship between subsurface drainage intensity and the soil desalinization period, that is, improving drainage condition shortened the time requirement for soil desalinization. For the study area, the model's predictions showed that installing subsurface drainage at 20 m spacing and 1.2 m deep lowered soil salinity to the slightly saline level in less than 7 years under the rainfall leaching only, and such system layout produced the maximum economic return based on the local agricultural practice. The results indicate that, early investment in adequate subsurface drainage systems is beneficial for field crop production in the salt impacted farmland areas. Findings from this research may provide technical references for saline soil reclamation or land improvement in both rain fed and irrigated agricultural areas.
预测沿海垦区不同土壤脱盐目标的地下排水需求
建立地下排水系统,利用自然降雨或人工灌溉提高盐分沥滤效率,是盐碱土壤改良的一种广为接受的做法,但系统建设的初始成本较高,往往限制了其应用,而且要达到大田作物生产所需的脱盐目标,排水强度要求的不确定性也给系统设计带来了挑战。本文提出了基于田间水文模型-DRAINMOD 的土壤脱盐模型,预测了在不同地下排水条件下土壤盐分降低到临界值所需的年限,并根据中国东部沿海垦区的案例研究估算了不同地下排水系统布局的净收益。结果表明,DRAINMOD 能准确预测人工排水田的地下水位波动:在模型校核和验证期间,均方根误差与标准偏差比(RSR)分别为 0.4 和 0.54,纳什-苏特克里夫效率(NSE)分别为 0.84 和 0.68。基于 DRAINMOD 的土壤脱盐模型预测了地下排水强度与土壤脱盐期之间的负相关关系,即排水条件的改善缩短了土壤脱盐所需的时间。在研究区域,模型预测结果表明,仅在降雨淋溶条件下,20 米间距、1.2 米深的地下排水系统可在不到 7 年的时间内将土壤盐碱度降至微盐水平,而且根据当地农业实践,这种系统布局可产生最大的经济回报。研究结果表明,及早投资建设足够的地下排水系统有利于盐渍化农田地区的大田作物生产。这项研究的结果可为雨水灌溉和灌溉农业地区的盐碱土壤改良或土地改良提供技术参考。
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来源期刊
Land Degradation & Development
Land Degradation & Development 农林科学-环境科学
CiteScore
7.70
自引率
8.50%
发文量
379
审稿时长
5.5 months
期刊介绍: Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on: - what land degradation is; - what causes land degradation; - the impacts of land degradation - the scale of land degradation; - the history, current status or future trends of land degradation; - avoidance, mitigation and control of land degradation; - remedial actions to rehabilitate or restore degraded land; - sustainable land management.
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