Amity Institute of Geoinformatics & Remote Sensing, Amity University, Noida, Uttar Pradesh, India.
Department of Zoology, CMP College, University of Allahabad, Prayagraj, Uttar Pradesh, India.
Environ Monit Assess. 2023 Mar 17;195(4):480. doi: 10.1007/s10661-023-11072-5.
An accurate investigation of bio-physical and chemical parameters as proxy of in situ water quality conditions in the Himalayan region is highly challenging owing to cumbersome, strenuous, and physically exhausting sampling exercises at high altitude locations. The upper stretches of Yamuna River in the Himachal Pradesh are typical examples of such sampling locations that have rarely been examined in the past studies. A widely accepted and recognized QUAL 2Kw model is applied for estimating the water quality parameters on the upper segment of the Yamuna River from Paonta Sahib to Cullackpur. These water quality indicators mainly included electric conductivity, pH, dissolved oxygen, temperature, carbonaceous biological oxygen demand (CBOD), inorganic suspended solids, total nitrogen, total phosphorus, and alkalinity, which were systematically investigated for predicting the spatio-temporal trends during the year 2018. A total of 12 distantly located river sites were identified for sample collection and data validation using QUAL 2Kw model. The present investigation attempts to reveal long-term degraded impact of untreated wastewater and biased agricultural practices on the water quality conditions over the upper stretches of Yamuna River. The QUAL 2Kw-derived values for selected variables were inter-compared with in situ values, and any deviation from measured values was ascertained based on meaningful statistical measures. The lower error of RMSE, MRE, and BIAS, corresponding to < 15%, ± 10%., ± 20%, and ~ 1 slope evidently indicated better matchup of values, wherein, higher slope correlation coefficient (R) of ~ 90% indicated the robust performance of the QUAL 2Kw algorithm in accurately predicting the chosen variables. A comparative assessment of QUAL 2Kw and WASP has been performed to justify aptness of water quality model in scenarios of lean flow.
对喜马拉雅地区原位水质条件的生物物理和化学参数进行准确调查极具挑战性,因为在高海拔地区进行采样工作既繁琐又费力。亚穆纳河(Yamuna River)在喜马偕尔邦的上游地段就是这种采样地点的典型例子,在过去的研究中很少对其进行检查。一个被广泛接受和认可的 QUAL 2Kw 模型被应用于估算从蓬塔萨希卜(Paonta Sahib)到库拉克普尔(Cullackpur)的亚穆纳河上游段的水质参数。这些水质指标主要包括电导率、pH 值、溶解氧、温度、碳质生物需氧量(CBOD)、无机悬浮固体、总氮、总磷和碱度,系统地研究了这些水质指标,以预测 2018 年的时空趋势。总共确定了 12 个位于不同位置的河流站点,用于使用 QUAL 2Kw 模型进行样本采集和数据验证。本研究试图揭示未经处理的废水和有偏见的农业实践对亚穆纳河上游地区水质状况的长期退化影响。使用 QUAL 2Kw 模型获得的选定变量值与现场值进行了比较,并根据有意义的统计措施确定了与实测值的任何偏差。RMSE、MRE 和 BIAS 的误差较小,分别为<15%、±10%、±20%和1 斜率,这显然表明值的匹配更好,其中,更高的斜率相关系数(R)90%表明 QUAL 2Kw 算法在准确预测所选变量方面具有稳健的性能。对 QUAL 2Kw 和 WASP 进行了比较评估,以证明水质模型在贫水情况下的适宜性。