Considering scale effects in water quality analysis to enhance the precision of influencing factor response analysis DOI Creative Commons

Haowei Wu,

Feng Wu, Zhihui Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112091 - 112091

Published: May 2, 2024

Accurately identifying the optimal spatial scales of effect analysis influencing factors on water quality is crucial for effective environment management. To address this, we propose a framework that consists mix scale division (watersheds, riparian buffers, and circular buffers), conduct case study in Yuanjiang River Basin (YJRB). Scale effects non-linear impacts various were identified. The results revealed variations these indicators predominated by different at sales, such as slope (SL) buffer (w) = 500 m (r) 15 km (with contribution percentage 16.6 %), mean annual temperature (TE) watershed (23.4 precipitation (PR) w r etc. cultivated land (CL) > 28 % (w m, 50 km) will lead to increase total phosphorus (TP) SL 26° pondus hydrogenii (pH). While, POP 30 person per unit area 100 1 km), 24° NDVI 0.48 5 PR 1300 mm watershed, decrease ammonia nitrogen (NH3-N), (TN), electrical conductivity (EC) turbidity (NTU) respectively. Results indicated precision can be improved regulating within considering quality.

Language: Английский

Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys DOI Creative Commons
Peter Selsam, Jan Bumberger, Thilo Wellmann

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(7), P. 1139 - 1139

Published: March 25, 2024

One of the greatest challenges our time is monitoring rapid environmental changes taking place worldwide at both local and global scales. This requires easy-to-use ready-to-implement tools services to monitor quantify aspects bio- geodiversity change impact land use intensification using freely available remotely sensed data, derive indicators. Currently, there are no for quantifying raster- vector-based indicators in a “compact tool”. Therefore, main innovation ESIS/Imalys having remote sensing (RS) tool that allows RS data processing, management, continuous discrete quantification derivation one tool. With project (Ecosystem Integrity Remote Sensing—Modelling Service Tool), we try present on clearly defined reproducible basis. The Imalys software library generates products ESIS. paper provides an overview functionality library. An technical background implementation library, formats user interfaces given. Examples RS-based derived pixel level zone (vector level) presented. Furthermore, advantages disadvantages discussed detail order better assess value users developers. applicability will be demonstrated through three ecological applications, namely: (1) landscape diversity, (2) structure fragmentation, (3) intensity its ecosystem functions. Despite integration large amounts can run any PC, as processing has been greatly optimised. source code hosted maintained under open license. Complete documentation all methods, functions found manual. user-friendliness Imalys, despite amount makes it another important research, modelling application from scale.

Language: Английский

Citations

6
Investigating the relationship between land use and water quality in urban waterbodies DOI Creative Commons

Omur Faruq,

Md. Abdul Malak,

Nahrin Jannat Hossain

et al.

Cleaner Water, Journal Year: 2025, Volume and Issue: unknown, P. 100070 - 100070

Published: Feb. 1, 2025

Language: Английский

Citations

0
An Optimal Strategy for Estimating Chlorophyll-a Concentration in Case II Waters to Support Sustainable Development Goals DOI
Shang Tian, Xiaotong Zhu, Han Zhang

et al.

Advances in Space Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Spatiotemporal effects of landscape structure on the trade-offs and synergies among ecosystem service functions in Yangtze River Economic Belt, China DOI
Yao Yao,

Yuanyuan Yang

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Abstract Effective landscape management is vital for maximizing the availability of ecosystem service functions (ESF). However, how pattern simultaneously affects multiple ESF across time and space, specifically regarding changes in their relationships, has not been comprehensively evaluated. Accordingly, current study examines dynamic impact on interactions among ES trade-offs China's Yangtze River Economic Belt (YREB) from 1990 to 2020. Five key are evaluated: carbon sequestration (CS), food supply (FS), habitat quality (HQ), water retention (WR), soil conservation (SC). The geographical temporal weighted regression model adopted analyze these relationships influenced by over 30 years. Over past three decades, overall amounts FS, WR, SC have increased, with only WR exhibiting a sustained increasing trend, while CS HQ significantly decreased. trade-off coordination effects generally transitioned synergies, CS–FS change more pronounced, shifting weak (− 0.29) synergies (0.20). Significant spatial variations were also observed. Most ESF. Specifically, composition stronger influence ecosystems than configuration; however, diverse often inconsistent, requiring decision-makers continuously balance management. impacts between other (CS–SC, HQ–SC, WR–SC) consistent, most prominent CS–SC. This suggests that exerts comparatively steady CS, benefiting contributions regional land parcels. These results underscore intricate responses inter-ecosystem need Cumulatively, this provides crucial guidance policymakers designing effective policies mitigate ecological degradation.

Language: Английский

Citations

0
Enhancing river water quality in different seasons through management of landscape patterns at various spatial scales DOI
Yang Gu,

Pingjiu Zhang,

F. Qin

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123653 - 123653

Published: Dec. 10, 2024

Language: Английский

Citations

3
Considering scale effects in water quality analysis to enhance the precision of influencing factor response analysis DOI Creative Commons

Haowei Wu,

Feng Wu, Zhihui Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112091 - 112091

Published: May 2, 2024

Accurately identifying the optimal spatial scales of effect analysis influencing factors on water quality is crucial for effective environment management. To address this, we propose a framework that consists mix scale division (watersheds, riparian buffers, and circular buffers), conduct case study in Yuanjiang River Basin (YJRB). Scale effects non-linear impacts various were identified. The results revealed variations these indicators predominated by different at sales, such as slope (SL) buffer (w) = 500 m (r) 15 km (with contribution percentage 16.6 %), mean annual temperature (TE) watershed (23.4 precipitation (PR) w r etc. cultivated land (CL) > 28 % (w m, 50 km) will lead to increase total phosphorus (TP) SL 26° pondus hydrogenii (pH). While, POP 30 person per unit area 100 1 km), 24° NDVI 0.48 5 PR 1300 mm watershed, decrease ammonia nitrogen (NH3-N), (TN), electrical conductivity (EC) turbidity (NTU) respectively. Results indicated precision can be improved regulating within considering quality.

Language: Английский

Citations

1