首页> 外文期刊>Journal of Hydrology >Appraising options to reduce shallow groundwater tables and enhance flow conditions over regional scales in an irrigated alluvial aquifer system
【24h】

Appraising options to reduce shallow groundwater tables and enhance flow conditions over regional scales in an irrigated alluvial aquifer system

机译:在灌溉冲积含水层系统中评估选项,以减少浅层地下水位并提高区域尺度上的流量条件

获取原文
获取原文并翻译 | 示例
           

摘要

Some of the world's key agricultural production systems face big challenges to both water quantity and quality due to shallow groundwater that results from long-term intensive irrigation, namely waterlogging and salinity, water losses, and environmental problems. This paper focuses on water quantity issues, presenting finite-difference groundwater models developed to describe shallow water table levels, non-beneficial groundwater consumptive use, and return flows to streams across two regions within an irrigated alluvial river valley in southeastern Colorado, USA. The models are calibrated and applied to simulate current baseline conditions in the alluvial aquifer system and to examine actions for potentially improving these conditions. The models provide a detailed description of regional-scale subsurface unsaturated and saturated flow processes, thereby enabling detailed spatiotemporal description of groundwater levels, recharge to infiltration ratios, partitioning of ET originating from the unsaturated and saturated zones, and groundwater flows, among other variables. Hybrid automated and manual calibration of the models is achieved using extensive observations of groundwater hydraulic head, groundwater return flow to streams, aquifer stratigraphy, canal seepage, total evapotranspiration, the portion of evapotranspiration supplied by upflux from the shallow water table, and irrigation flows. Baseline results from the two regional-scale models are compared to model predictions under variations of four alternative management schemes: (1) reduced seepage from earthen canals, (2) reduced irrigation applications, (3) rotational lease fallowing (irrigation water leased to municipalities, resulting in temporary dry-up of fields), and (4) combinations of these. The potential for increasing the average water table depth by up to 1.1 and 0.7m in the two respective modeled regions, thereby reducing the threat of waterlogging and lowering non-beneficial consumptive use from adjacent fallow and naturally-vegetated lands, is demonstrated for the alternative management intervention scenarios considered. Net annual average savings of up to about 9.9 million m~3 (8000 ac ft) and 2.3 million m~3 (1900 ac ft) of non-beneficial groundwater consumptive use is demonstrated for the study periods in each of the two respective study regions. Alternative water management interventions achieve varying degrees of benefits in each of the two regions, suggesting a need to adopt region-specific interventions and avoid a 'one-size-fits-all' approach. Impacts of the considered interventions on return flows to the river were predicted to be significant, highlighting the need for flow augmentation to comply with an interstate river compact and portending beneficial impacts on solute loading.
机译:由于长期密集灌溉造成的浅层地下水(包括涝渍和盐碱化,水损失和环境问题),世界上一些主要的农业生产系统都面临着水量和水质方面的巨大挑战。本文着重于水量问题,提出了有限差分地下水模型,用于描述浅水位,非有益地下水的消耗性使用以及在美国科罗拉多州东南部的一个冲积河谷中流经两个地区的水流。对该模型进行校准并应用于模拟冲积含水层系统中的当前基线条件,并检查可能改善这些条件的措施。这些模型提供了对区域规模的地下非饱和和饱和流动过程的详细描述,从而能够对地下水位,补给与入渗比,源自非饱和和饱和区域的ET进行分区以及地下水流量等进行详细的时空描述。该模型的混合自动和手动校准是通过广泛观察地下水水压头,地下水回流,水层,地层,渠道渗漏,总蒸散量,由浅水位溢流提供的部分蒸散量和灌溉流量来实现的。将两种区域规模模型的基准结果与四种替代管理方案的变化下的模型预测进行比较:(1)减少土渠的渗漏;(2)减少灌溉应用;(3)轮流租赁休耕(将灌溉水租赁给市政当局) ,导致字段暂时枯竭),以及(4)这些的组合。可以证明,在两个相应的模拟区域中,平均地下水位深度分别增加了1.1和0.7m,从而减少了涝灾的威胁,并降低了相邻休耕地和天然植被土地的非有益消费用途考虑了管理干预方案。在两个研究区域的每个研究区域中,每年净节约的平均净费用分别高达990万立方米〜3(8000 ac ft)和230万立方米〜3(1900 ac ft)。 。替代性的水管理干预措施在两个地区的每个地区均获得不同程度的收益,这表明需要采用针对特定地区的干预措施,并避免采用“千篇一律”的方法。预计所考虑的干预措施对河流回流的影响是巨大的,这突出表明需要增加流量以符合州际河流契约,并预示对溶质负荷的有益影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号