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Preliminary Assessment of Groundwater and Surface Water Characteristics in the Upper Chao Phraya River Basin Land Using a Stable Isotope Fingerprinting Technique

机译:应用稳定同位素指纹技术初步评估湄南河上游流域土地地下水和地表水特征

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Water stress is rapidly increasing in many parts of Thailand, especially during drought season, due to expansion in agriculture and industry. This study is focusing in the Upper Chao Phraya river basin to assess the capability of using water stable isotope analysis (δD-δ~(18)O) to refine the understanding on spatial and temporal distribution of precipitation as well as the surface water-groundwater interactions for the aquifer systems underneath the study area. Local precipitation, surface water, and groundwater are sampled along the main river courses and their tributaries. Massive precipitation isotopic composition database from IAEA existing monitoring network (GNIB) along with local Bangkok precipitation isotope signature are compared with precipitation from Chiang Mai province in the North of Thailand to better identify the rainfall isotopic compositions. In addition to the isotopic distinction of precipitation in the area, its impacts on isotopic signature of surface water and groundwater are additionally explored. LMWLs for local rainfall in Bangkok and Chiang Mai are generated with some seasonal variation of rainfall isotope signature due to rain out effect. Surface water in the study area is influenced by evaporation at some degree, revealing that rainfall may not be the primary source of surface water. Yom river's isotope signal values are far more D and ~(18)O-enriched compared to Ping's and Nan's, suggesting the mixing of groundwater into river water and/or the origin of surface water may come from dry-period precipitation. Stable oxygen and hydrogen isotope data in groundwater again fall on an evaporation line, and is thus indicative of the effects of high evaporation rates through the top surficial material. The isotopic similarity with the more depleted δD and δ~(18)O of groundwater samples suggests the potential mixing of groundwater with river water by different mixing processes (54% from river water and 46% from rainfall). The results of stable isotope analyses show correlations in the isotope signature of shallow (i.e., < 50 m deep) and deeper aquifer (i.e., > 50 m deep) which may be associated with hydraulic connection and/or similar hydrogeological conditions, d-excess stable isotope analyses are beneficial to identify the relative contributions of the wet and dry seasonal sources to the groundwater recharge. The results indicate that groundwater sources in the area are composed of an average of approximately 71.4% wet seasonal sources and 28.6% dry seasonal sources.
机译:由于农业和工业的扩张,泰国许多地方的水分压力正在迅速增加,特别是在干旱季节。这项研究集中在湄南河上游流域,以评估使用水稳定同位素分析(δD-δ〜(18)O)的能力,以加深对降水以及地表水-地下水的时空分布的认识研究区域下方含水层系统的相互作用。沿主要河道及其支流采样局部降水,地表水和地下水。将来自国际原子能机构现有监测网络(GNIB)的大规模降水同位素组成数据库以及曼谷当地的降水同位素特征与泰国北部清迈省的降水进行比较,以更好地识别降雨同位素组成。除了该地区降水的同位素区分外,还探讨了其对地表水和地下水同位素特征的影响。由于降雨效应,曼谷和清迈当地降雨的LMWLs随降雨同位素特征的季节性变化而产生。研究区的地表水在一定程度上受到蒸发的影响,这表明降雨可能不是地表水的主要来源。与Ping和Nan相比,Yom河的同位素信号值具有更高的D和〜(18)O含量,表明地下水混入河水中和/或地表水的来源可能来自干旱时期的降水。地下水中稳定的氧和氢同位素数据再次落在蒸发线上,因此表明了通过顶部表层材料的高蒸发速率的影响。同位素相似性与地下水样品的δD和δ〜(18)O更加枯竭表明,通过不同的混合过程(54%来自河水,46%来自降雨)可能将地下水与河水混合。稳定同位素分析的结果表明,浅层(即<50 m深度)和较深的含水层(即> 50 m深度)的同位素特征具有相关性,这可能与水力连接和/或类似的水文地质条件(d过量)有关稳定的同位素分析有利于确定潮湿和干燥的季节性水源对地下水补给的相对贡献。结果表明,该地区的地下水源平均由大约71.4%的湿季源和28.6%的干季源组成。

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