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首页> 外文期刊>Environmental Monitoring and Assessment >Impact Assessment and Recommendation of Alternative Conjunctive Water Use Strategies for Salt Affected Agricultural Lands through a Field Scale Decision Support System - A Case Study
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Impact Assessment and Recommendation of Alternative Conjunctive Water Use Strategies for Salt Affected Agricultural Lands through a Field Scale Decision Support System - A Case Study

机译:通过田间规模决策支持系统对盐碱地农田的替代性联合用水策略的影响评估和建议-案例研究

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Conjunctive use of salineon-saline irrigation waters is generally aimed at minimizing yield losses and enhancing flexibility of cropping, without much alteration in farming operations. Recommendation of location-specific suitable conjunctive water use plans requires assessment of their long-term impacts on soil salinization/sodification and crop yield reductions. This is conventionally achieved through long-term field experiments. However such impact evaluations are site specific, expensive and time consuming. Appropriate decision support systems (DSS) can be time-efficient and cost-effective means for such long-term impact evaluations. This study demonstrates the application of one such (indigenously developed) DSS for recommending best conjunctive water use plans for a, rice-wheat growing, salt affected farmer's field in Gurgaon district of Haryana (India). Before application, the DSS was extensively validated on several farmers and controlled experimental fields in Gurgaon and Karnal districts of Haryana (India). Validation of DSS showed its potential to give realistic estimates of root zone soil salinity (with R = 0.76-0.94; AMRE = 0.03-0.06; RMSPD = 0.51-0.90); sodicity (with R = 0.99; AMRE = 0.02; RMSPD = 0.84) and relative crop yield reductions (AMRE = 0.24), under existing (local) resource management practices. Long term (10 years) root zone salt build ups and associated rice/wheat crop yield reductions, in a salt affected farmer's field, under varied conjunctive water use scenarios were evaluated with the validated DSS. It was observed that long-term applications of canal (CW) and tube well (TW) waters in a cycle and in 1:1 mixed mode, during Kharif season, predicted higher average root zone salt reductions (2-9%) and lower rice crop yield reductions (4-5%) than the existing practice of 3-CW, 3-TW, 3-CW. Besides this, long-term application of 75% CW mixed with 25% TW, during Rabi season, predicted about 17% lower average root-zone salt reductions than the cyclic applications of (1-CW, 1-TW, 2-CW) and (2-CW, 1-TW, 1-CW, i.e., existing irrigation strategy). However, average wheat crop yield reductions (16-17%) simulated under all these strategies were almost at par. In general, cyclic-conjunctive water use strategies emerged as better options than the blending modes. These results were in complete confirmation with actual long-term conjunctive water use experiments on similar soils. It was thus observed that such pre-validated tools could be efficient means for designing, local resource and target crop yield-specific, appropriate conjunctive water use plans for irrigated agricultural lands.
机译:盐水/非盐水灌溉用水的联合使用通常旨在最大程度地减少产量损失并提高耕种的灵活性,而无需大幅度改变耕作方式。建议针对特定地点的合适的联合用水计划需要评估其对土壤盐渍化/盐碱化和作物减产的长期影响。通常,这是通过长期的野外实验来实现的。但是,这种影响评估是针对特定地点的,昂贵且耗时的。对于此类长期影响评估,适当的决策支持系统(DSS)可以是省时又省钱的方法。这项研究证明了这样一种(本地开发的)DSS在为印度哈里亚纳邦古尔冈地区的水稻,小麦种植,受盐影响的农民田间推荐最佳联合用水计划中的应用。在应用之前,DSS已在印度哈里亚纳邦的古尔冈和卡尔纳尔地区的数个农民和受控试验田上得到了广泛验证。 DSS的验证表明它有潜力对根区土壤盐分进行实际估算(R = 0.76-0.94; AMRE = 0.03-0.06; RMSPD = 0.51-0.90);在现有的(当地)资源管理规范下,相对湿度(R = 0.99; AMRE = 0.02; RMSPD = 0.84)和相对作物减产(AMRE = 0.24)。使用经过验证的DSS评估了在不同的联合用水情景下,在盐影响农民的田地中,长期(10年)的根区盐积累和相关的稻米/小麦作物减产。据观察,在哈里夫季节中,以周期和1:1混合模式长期施用运河(CW)和管井(TW)水预测,平均根区减盐量更高(2-9%),而更低水稻作物的产量比3-CW,3-TW,3-CW的现行作法降低了4-5%。除此之外,在拉比季节,长期施用75%的CW和25%的TW混合,预测的根部区域平均盐减少量比周期施用(1-CW,1-TW,2-CW)降低约17%。 (2-CW,1-TW,1-CW,即现有灌溉策略)。但是,在所有这些策略下模拟的小麦平均单产下降(16-17%)几乎与标准水平持平。通常,循环混合用水策略比混合模式更好。这些结果在相似土壤上的实际长期联合用水实验中得到了完全证实。因此,人们观察到,这种经过预先验证的工具可能是有效的手段,可以为灌溉的农业用地设计,当地资源和特定于目标作物产量的适当联合用水计划。

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