1
|
Pang X, Guan M. Influence of construction works on urban streamflow water quality variations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 955:176852. [PMID: 39393710 DOI: 10.1016/j.scitotenv.2024.176852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 09/08/2024] [Accepted: 10/08/2024] [Indexed: 10/13/2024]
Abstract
Construction activities can have long-lasting impacts on receiving water bodies, especially when they receive polluted urban runoff. Therefore, it is essential to minimize these impacts on water quality and consider the long-term environmental effects of development activities. This study aims to provide insights into the assessment, temporal variations, and key variables associated with the impact of construction works on streamflow water quality. However, current assessment methods relating to construction works and streamflow water quality may lead to spurious correlations. A spurious correlation refers to a connection between two variables that appears to be causal but is not. This study proposes a novel approach to avoid spurious correlations between construction work signatures and water quality, ensuring causality and correlation between water quality parameters. The approach was applied to a developing urban catchment in Hong Kong. Compared to existing assessment models, the proposed approach advances in ensuring true correlations between construction works and streamflow water quality. It is also the first to develop a new indicator to represent the key variable of construction works. In this study, salinity, turbidity, and suspended solids were used as substitutes for construction activity parameters, such as the number of construction works, to correlate with water quality parameters. Additionally, principal component analysis and the construction work signature index were both adopted to calculate the key variables of water quality on behalf of construction works. Results demonstrate that the new approach has significantly improved causality by 45 % compared to previous assessment methods. However, the method has limitations as it does not consider the impact of rainfall on construction works.
Collapse
Affiliation(s)
- Xuan Pang
- Department of Civil Engineering, University of Hong Kong, Hong Kong Special Administrative Region
| | - Mingfu Guan
- Department of Civil Engineering, University of Hong Kong, Hong Kong Special Administrative Region.
| |
Collapse
|
2
|
Webster BC, Waters MN, Golladay SW. Linking reservoir annual residence time to nitrogen deposition using paleolimnological techniques. WATER RESEARCH 2024; 265:122245. [PMID: 39173354 DOI: 10.1016/j.watres.2024.122245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/15/2024] [Accepted: 08/08/2024] [Indexed: 08/24/2024]
Abstract
In river networks, reservoirs are hotspots for nutrient transformations, providing multiple pathways for nitrogen processing. One of the less measured pathways is nitrogen deposition. Here, we investigated the decadal relationship between water residence time and nitrogen deposition using sediment cores from eight mainstem reservoirs within a river system containing two contrasting watersheds. One watershed was significantly urbanized with regulated flow and the other watershed was unregulated with extensive rural land use. We explored the relationship of sediment nitrogen concentrations across a range of residence times, land uses, and other parameters throughout this linked river-reservoir system. Results show that average annual residence time had the strongest relationship to nitrogen deposition when compared to reservoir volume, mean depth, surface area, outflow, and land use. Pigment analysis revealed that residence time influences nitrogen by allowing for longer periods of algal uptake, followed by deposition in particulate organic form. Supporting this mechanism, sedimentary C:N, with low values representing greater algal influence, expressed a strong and negative relationship with average annual residence time, as well as a positive relationship between residence time and photosynthetic pigments diagnostic of cyanobacteria, diatoms, and a combination of green algae+cyanobacteria. Furthermore, we investigated how drought conditions could alter residence times and intensify nitrogen cycling through primary productivity in reservoirs. Drought increased residence time by 45-60 %. This increase was estimated to raise sediment nitrogen concentrations by roughly 2.5-4 %.
Collapse
Affiliation(s)
- Benjamin C Webster
- Department of Crop, Soils & Environmental Science, Auburn University, Auburn, AL 36849, United States.
| | - Matthew N Waters
- Department of Crop, Soils & Environmental Science, Auburn University, Auburn, AL 36849, United States
| | - Stephen W Golladay
- Georgia Water Planning and Policy Center, Albany State University, Albany, GA 31701, United States
| |
Collapse
|
3
|
Li L, Chen L, Chen S, Zhang Y, Xu Y, Zhi X, Meng X, Shen Z, Liu Y, Yang D, Tang L. The cumulative effects of cascade reservoirs control nitrogen and phosphorus flux: Base on biogeochemical processes. WATER RESEARCH 2024; 252:121177. [PMID: 38290240 DOI: 10.1016/j.watres.2024.121177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/08/2024] [Accepted: 01/20/2024] [Indexed: 02/01/2024]
Abstract
The reservoir serves as a water source, a flood control structure, a navigational aid, and also impacts the downstream ecosystem as well as the reservoir zone. However, debate exists about effectiveness of cascade reservoirs in controlling the transportation of nutrients, particularly in the Yangtze River basin, which has been significantly affected by reservoir development. This research develops a new model X-NPSEM (X with Nitrogen and Phosphorus Steady-state Reservoir Model) based on biogeochemical processes of nitrogen and phosphorus reaction for investigating the dynamic storage capacity of cascade reservoirs at both reservoir- and watershed scales. Then the cumulative effects of cascade reservoirs and the related mechanism were investigated in Fujiang watershed, China. Based on the results, cascade reservoirs retained 16.3 % of nitrogen fluxes and 37.6 % of phosphorus fluxes annually. Downstream reservoirs have higher retention rates of phosphorus (0.48/d) compared to upstream reservoirs (0.10/d), mainly due to inflow sediment. Nitrogen retention rates show seasonal variations: wet season (0.21/d) and dry season (0.17/d). These fluctuations in nitrogen retention are primarily influenced by changes in temperature rather than other factors such as operation period, nitrogen and phosphorus concentration, or the nitrogen/phosphorus ratio. In upstream, the concentration of sediment entering the reservoir plays a decisive role in the transformation of P retention from sink to source. The X-NPSRM coupler model could be used for global reservoir operation and watershed management.
Collapse
Affiliation(s)
- Leifang Li
- School of Environment, Beijing Normal University, Beijing 100875, China; Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
| | - Lei Chen
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Shibo Chen
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yuhan Zhang
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yanzhe Xu
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Xiaosha Zhi
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Xinyi Meng
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Zhenyao Shen
- School of Environment, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China; Key Laboratory of Hydrology and Sediment Science of Ministry of Education, Beijing 100875, China
| | - Yong Liu
- State Environmental Protection Key Laboratory of All Materials Flux in River Ecosystems, College of Environment science and Engineering, Peking University, Beijing 100871, China
| | - Dawen Yang
- Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
| | - Lihua Tang
- Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
| |
Collapse
|