京都大学 · 環境科学
Mengqi Jiang教授の研究室は、河川・湖沼・沿岸域の水質汚染メカニズムとその是正に向けたバイオプロセスの解明を柱としています。特に、有機物・栄養塩の蓄積が引き起こす黒臭水体の発生機構や、藻類・細菌・菌類の共生系による栄養塩除去のメカニズムを、定量的評価モデルや同位体分析を用いて解明しています。また、水質汚染の原因特定や効果的な管理戦略の立案に資するための環境モニタリング手法の開発も進めています。
Figures are computed from collected data and may differ slightly.
The black-odor mechanism of Yitong River was analyzed based on survey and monitoring results. We found that organic matter is the main pollution source of Yitong River and its tributaries. A black-odor evaluation model that can describe the pollution of the Yitong River water system was developed, and this model has the parameters I = 0.21 [COD<sub>Cr</sub>] + 0.18 [DO] - 0.36[NH<sub>3</sub>-N] + 0.91. The model performance was satisfactory with a black-odor defining accuracy of 69%. Moreover, w
Abstract BACKGROUND Algae–bacteria symbiotic system has attracted much attention in the fields of nutrients removal from wastewater. Fungi has also been demonstrated to promote the cultivation of microalgae. However, capability and mechanism of algae–fungi symbiotic system for nutrient removal remains unclear. RESULTS This study assessed the removal efficiencies of an algae–fungi symbiotic system of Chlorella variabilis NC64A and Ganoderma lucidum for chemical oxygen demand (COD cr ), total nitr
In this study, algal growth potential tests were performed in water samples collected from six sampling sites in Meiliang Bay, Lake Taihu. The potential release of soluble reactive phosphorus (SRP) by enzymatic hydrolysis of enzymatically hydrolyzable phosphorus (EHP) was simultaneously evaluated. Results show that all studied regions were in highly eutrophic states, with additional nitrogen (N) or phosphorus (P) inputs, inducing negligible further increase in algal growth. EHP in water could be
Data of cellular nutrients and macromolecules for Chlorella vulgaris samples collected on day 8.
Additional file 1 (PDF 2271 KB)
dataset 1.csv: Figure 1a and b <br> dataset 2.csv: Figure 1c and d, and Figures 2 ~ 6 <br> SEM.csv: data for SEM analysis in R <br> SEM.R: R script for SEM analysis <br> loessspline.csv: data for nonparametric analysis <br> nonpara.R: R script for nonparametric analysis
Abstract Identifying nitrogen dynamics in coastal ecosystems remains a key challenge for environmental monitoring and management. In this study, nitrogen distribution patterns were examined in Matsushima Bay, a semi-enclosed coastal system, and its adjacent areas. The results revealed the utility of the natural abundance of 15 N in all dissolved nitrogen (δ 15 N-TDN) as a qualitative indicator of coastal nutrient sources and status. Quantitative analyses showed substantial nitrogen loading from
The isotopic composition (δ<sup>15</sup>N and δ<sup>18</sup>O) of nitrite (NO<sub>2</sub><sup>-</sup>) provides valuable insights into nitrogen cycling in aquatic environments. However, its typically low concentrations as a transient redox intermediate in natural waters often limit isotopic analysis. In this study, a method for δ<sup>15</sup>N and δ<sup>18</sup>O analysis of low-level NO<sub>2</sub><sup>-</sup> in freshwater has been developed by coupling anion-exchange resin preconcentration wi
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