Agricultural impacts drive longitudinal variations of riverine water quality of the Aral Sea basin (Amu Darya and Syr Darya Rivers), Central Asia
Creators
- 1. Department of Lake Research, Helmholtz Centre for Environmental Research-UFZ, 39114, Magdeburg (Germany)
- 2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190 (China)
- 3. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 (China)
- 4. Chinese Research Academy of Environmental Sciences, Beijing, 100012 (China)
- 5. Department of Biology, National University of Uzbekistan, Tashkent, 100170 (Uzbekistan)
- 6. International Ecosystem Management Partnership, United Nations Environment Programme, Beijing, 100101 (China)
Description
Highlights: • We provide the dataset in two Central Asian rivers addressing salinity and nutrients. • Causal relationship between nutrient sources and concentrations was established. • Longitudinal variations of nutrients and salinity were driven by irrigated croplands. • N from leaching and P from surface runoff dominated in the export flux to the rivers. River ecosystems are under increasing stress in the background of global change and ever-growing anthropogenic impacts in Central Asia. However, available water quality data in this region are insufficient for a reliable assessment of the current status, which come as no surprise that the limited knowledge of regulating processes for further prediction of solute variations hinders the development of sustainable management strategies. Here, we analyzed a dataset of various water quality variables from two sampling campaigns in 2019 in the catchments of two major rivers in Central Asia—the Amu Darya and Syr Darya Rivers. Our results suggested high spatial heterogeneity of salinity and major ion components along the longitudinal directions in both river catchments, pointing to an increasing influence of human activities toward downstream areas. We linked the modeling outputs from the global nutrient model (IMAGE-GNM) to riverine nutrients to elucidate the effect of different natural and anthropogenic sources in dictating the longitudinal variations of the riverine nutrient concentrations (N and P). Diffuse nutrient loadings dominated the export flux into the rivers, whereas leaching and surface runoff constituted the major fractions for N and P, respectively. Discharge of agricultural irrigation water into the rivers was the major cause of the increases in nutrients and salinity. Given that the conditions in Central Asia are highly susceptible to climate change, our findings call for more efforts to establish holistic management of water quality.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.envpol.2021.117405Additional details
Identifiers
- DOI
- 10.1016/j.envpol.2021.117405;
- PII
- S0269749121009878;
Publishing Information
- Journal Title
- Environmental Pollution (1987)
- Journal Volume
- 284
- Journal Page Range
- vp.
- ISSN
- 0269-7491
- CODEN
- ENPOEK
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54021399
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- ARAL SEA; CLIMATIC CHANGE; CONCENTRATION RATIO; DATASETS; ECOLOGICAL CONCENTRATION; ECOSYSTEMS; IRRIGATION; LEACHING; NUTRIENTS; RIVERS; RUNOFF; SALINITY; SAMPLING; SIMULATION; SOLUTES; WATER QUALITY
- Descriptors DEC
- DIMENSIONLESS NUMBERS; DISSOLUTION; DOCUMENT TYPES; ENVIRONMENTAL QUALITY; ENVIRONMENTAL TRANSPORT; LAKES; MASS TRANSFER; SEAS; SEPARATION PROCESSES; SURFACE WATERS
Optional Information
- Copyright
- Copyright (c) 2021 Elsevier Ltd. All rights reserved.