Redirigiendo al acceso original de articulo en 24 segundos...
Inicio  /  Water  /  Vol: 15 Par: 16 (2023)  /  Artículo
ARTÍCULO
TITULO

Distinguishing between Sources of Natural Dissolved Organic Matter (DOM) Based on Its Characteristics

Rolf David Vogt    
Petr Porcal    
Josef Hejzlar    
Ma. Cristina Paule-Mercado    
Ståle Haaland    
Cathrine Brecke Gundersen    
Geir Inge Orderud and Bjørnar Eikebrokk    

Resumen

Increasing levels of dissolved organic matter (DOM) in watercourses in the northern hemisphere are mainly due to reduced acid rain, climate change, and changes in agricultural practices. However, their impacts vary in time and space. To predict how DOM responds to changes in environmental pressures, we need to differentiate between allochthonous and autochthonous sources as well as identify anthropogenic DOM. In this study we distinguish between allochthonous, autochthonous, and anthropogenic sources of DOM in a diverse watercourse network by assessing effects of land cover on water quality and using DOM characterization tools. The main sources of DOM at the studied site are forests discharging allochthonous humic DOM, autochthonous fulvic DOM, and runoff from urban sites and fish farms with high levels of anthropogenic DOM rich in protein-like material. Specific UV absorbency (sUVa) distinguishes allochthonous DOM from autochthonous and anthropogenic DOM. Anthropogenic DOM differs from autochthonous fulvic DOM by containing elevated levels of protein-like material. DOM from fishponds is distinguished from autochthonous and sewage DOM by having high sUVa. DOM characteristics are thus valuable tools for deconvoluting the various sources of DOM, enabling water resource managers to identify anthropogenic sources of DOM and predict future trends in DOM.

 Artículos similares

       
 
Tapan Chatterjee, Usha Rani Gogoi, Animesh Samanta, Ayan Chatterjee, Mritunjay Kumar Singh and Srinivas Pasupuleti    
Groundwater quality is one of the major concerns. Quality of the groundwater directly impacts human health, growth of plants and vegetables. Due to the severe impacts of inadequate water quality, it is imperative to find a swift and economical solution. ... ver más
Revista: Water

 
Norah Fahd Alhussainan, Belgacem Ben Youssef and Mohamed Maher Ben Ismail    
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize tumors, such a... ver más
Revista: Computation

 
Waseem Abbas, Zuping Zhang, Muhammad Asim, Junhong Chen and Sadique Ahmad    
In the ever-expanding online fashion market, businesses in the clothing sales sector are presented with substantial growth opportunities. To utilize this potential, it is crucial to implement effective methods for accurately identifying clothing items. T... ver más
Revista: Information

 
Aquib Raza, Thien-Luan Phan, Hung-Chung Li, Nguyen Van Hieu, Tran Trung Nghia and Congo Tak Shing Ching    
Knee osteoarthritis (KOA) is a leading cause of disability, particularly affecting older adults due to the deterioration of articular cartilage within the knee joint. This condition is characterized by pain, stiffness, and impaired movement, posing a sig... ver más
Revista: Information

 
Ehab Alkhateeb, Ali Ghorbani and Arash Habibi Lashkari    
This research addresses a critical need in the ongoing battle against malware, particularly in the form of obfuscated malware, which presents a formidable challenge in the realm of cybersecurity. Developing effective antivirus (AV) solutions capable of c... ver más
Revista: Information