Environmental Technology Section, School of Industrial Technology, Universiti Sains Malaysia, 11800 USM Penang, Malaysia; Environmental and Occupational Health Program, School of Health Sciences, Health Campus, Universiti Sains Malaysia 16150 USM, Kubang Kerian, Kelantan, Malaysia.
Environmental Technology Section, School of Industrial Technology, Universiti Sains Malaysia, 11800 USM Penang, Malaysia.
Sci Total Environ. 2020 Jan 15;700:134517. doi: 10.1016/j.scitotenv.2019.134517. Epub 2019 Oct 8.
Nitrate is one of the primary nutrients associated with sedimentation and fuels eutrophication in reservoir systems. In this study, water samples from Bukit Merah Reservoir (BMR) were analysed using a combination of water chemistry, water stable isotopes (δH-HO and δO-HO) and nitrate stable isotopes (δN-NO and δO-NO). The objective was to evaluate nitrate sources and processes in BMR, the oldest man-made reservoir in Malaysia. The δN-NO values in the river and reservoir water samples were in the range +0.4 to +14.9‰ while the values of δO-NO were between -0.01 and +39.4‰, respectively. The dual plots of δN-NO and δO-NO reflected mixing sources from atmospheric deposition (AD) input, ammonium in fertilizer/rain, soil nitrogen, and manure and sewage (MS) as the sources of nitrate in the surface water of BMR. Nitrate stable isotopes suggested that BMR undergoes processes such as nitrification and mixing. Denitrification and assimilation were not prevalent in the system. The Bayesian mixing model highlighted the dominance of MS sources in the system while AD contributed more proportion in the reservoir during both seasons than in the river. The use of δC, δN, and C:N ratios enabled the identification of terrestrial sources of the organic matter in the sediment, enhancing the understanding of sedimentation associated with nutrients previously reported in BMR. Overall, the nitrate sources and processes should be considered in decision-making in the management of the reservoir for irrigation, Arowana fish culture and domestic water supply.
硝酸盐是与水库系统中沉积物和富营养化有关的主要营养物质之一。本研究采用水质化学分析、水稳定同位素(δH-HO 和 δO-HO)和硝酸盐稳定同位素(δN-NO 和 δO-NO)相结合的方法,对武吉美拉水库(BMR)的水样进行了分析。目的是评估 BMR 中的硝酸盐来源和过程,BMR 是马来西亚最古老的人工水库。河流水库水样的 δN-NO 值范围为+0.4 至+14.9‰,而 δO-NO 值分别在-0.01 至+39.4‰之间。δN-NO 和 δO-NO 的双图反映了大气沉降(AD)输入、肥料/雨水中的铵、土壤氮、粪肥和污水(MS)等混合来源是 BMR 地表水硝酸盐的来源。硝酸盐稳定同位素表明,BMR 经历了硝化和混合等过程。反硝化和同化在该系统中并不普遍。贝叶斯混合模型强调了 MS 来源在系统中的主导地位,而 AD 在两个季节对水库的贡献比例都高于河流。利用 δC、δN 和 C:N 比值,可以识别沉积物中有机物的陆地来源,从而增强对先前在 BMR 中报告的与营养物质有关的沉积物的了解。总的来说,在管理水库进行灌溉、龙鱼养殖和家庭供水时,应考虑硝酸盐的来源和过程。