Sustainable water resource management using surface-groundwater modelling: Motueka-Riwaka Plains, New Zealand

Channa Rajanayaka , Julian Weir , Tim Kerr , Joseph Thomas
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引用次数: 2

Abstract

New Zealand’s freshwater resources in coastal regions are under increasing pressure from demands for drinking, irrigation and industrial uses, and climate change effects, particularly sea level rise. The management of water resources needs to balance values associated with (but not limited to) economy, society, ecology, culture, recreation and water quality. To assist the management of water resources in the Motueka-Riwaka Plains, New Zealand, a numerical integrated surface-groundwater model was developed. Calibration of the transient integrated surface-groundwater model was achieved with a root mean square error (RMSE) of 2.6% for groundwater levels. Model verification against groundwater levels not used in the calibration also resulted in an RMSE of 2.6% for groundwater levels. Model outputs, coupled with groundwater trend analyses, were used to identify the impact of groundwater abstractions on rivers, streams and groundwater-fed springs. Trend analyses showed that groundwater levels are lowering in the central area of the plains. Model scenarios predict that additional groundwater abstraction of over 30,000 m3/day from a well field located near the central area of the plains (adjacent to the Motueka River) is unlikely to increase the risk of saltwater intrusion and will result in surface water flow depletion within acceptable limits.

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使用地表水-地下水模型的可持续水资源管理:Motueka-Riwaka平原,新西兰
由于饮用、灌溉和工业用途的需求,以及气候变化的影响,特别是海平面上升,新西兰沿海地区的淡水资源正面临越来越大的压力。水资源的管理需要平衡与(但不限于)经济、社会、生态、文化、娱乐和水质相关的价值。为了协助管理新西兰Motueka-Riwaka平原的水资源,开发了一个数值综合地表水-地下水模型。地下水水位的均方根误差(RMSE)为2.6%,实现了瞬态地表-地下水综合模型的校准。针对未在校准中使用的地下水水位进行的模型验证也导致地下水水位的RMSE为2.6%。模型输出与地下水趋势分析相结合,用于确定地下水抽取对河流、溪流和地下水泉水的影响。趋势分析表明,平原中部地区的地下水位正在下降。模型情景预测,从靠近平原中心地区(毗邻Motueka河)的一个井田额外抽取超过30,000 立方米/天的地下水不太可能增加盐水入侵的风险,并将导致在可接受范围内的地表水流量枯竭。
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