Kyoto University · 환경과학
멘치 교수의 연구실은 수질 오염 메커니즘과 오염 제거 기술에 중점을 두고 있으며, 특히 유해한 블랙-오더 수질 상태의 원인 분석과 복원 모델 개발을 핵심 과제로 삼고 있습니다. 또한 미세조류-균류 상호작용을 통한 영양염 제거 메커니즘과 수생 생태계 내 영양염 순환 과정을 고해상도 동위원소 분석을 통해 규명하고 있습니다. 특히 유량이 낮은 강과 호수에서의 알갱이류 번식 촉진 메커니즘과 영양염 전환 과정에 대한 기초 연구를 지속적으로 수행하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
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