Considering scale effects in water quality analysis to enhance the precision of influencing factor response analysis
文献类型：期刊论文
| 作者 | Wu, Haowei2,3,4; Wu, Feng2,3,4; Li, Zhihui2,3,4; Gao, Xing2,4,5; Wu, Xianhua6; Bao, Guangjing1 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 163页码:112091 |
| 关键词 | Water quality Scale effect Mixed buffer Redundancy analysis Generalized additive model Yuanjiang River Basin |
| DOI | 10.1016/j.ecolind.2024.112091 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Accurately identifying the optimal spatial scales of effect analysis of influencing factors on water quality is crucial for effective water environment management. To address this, we propose a framework that consists of mix scale division (watersheds, riparian buffers, and circular buffers), and conduct a case study in the Yuanjiang River Basin (YJRB). Scale effects and non-linear impacts of various influencing factors on water quality were identified. The case study results revealed the variations of these water quality indicators were predominated by different influencing factors at various sales, such as by slope (SL) at the scale of riparian buffer (w) = 500 m and circular buffer (r) = 15 km (with a contribution percentage of 16.6 %), mean annual temperature (TE) at the watershed scale (23.4 %), annual precipitation (PR) at the scale of w = watershed and r = 15 km etc. The percentage of cultivated land (CL) > 28 % at the scale (w = 500 m, r = 50 km) will lead to increase in total phosphorus (TP) and SL > 26 degrees at the scale (w = 500 m, r = 15 km) will lead to increase in pondus hydrogenii (pH). While, POP > 30 person per unit area at the scale (w = 100 m, r = 1 km), SL > 24 degrees at the scale (w = 500 m, r = 15 km), NDVI > 0.48 at the scale (w = 500 m, r = 5 km) and PR > 1300 mm at the scale (w = watershed, r = 15 km) will lead to decrease in ammonia nitrogen (NH3-N), total nitrogen (TN), electrical conductivity (EC) and turbidity (NTU) respectively. Results indicated that the precision can be improved by regulating influencing factors within scale effects and considering the non-linear effects of factors on water quality. |
| WOS关键词 | LAND-USE ; ENVIRONMENTAL-FACTORS ; SPATIAL SCALES ; RIVER-BASIN ; LANDSCAPE ; PATTERNS ; AREA |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:001290601900001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206948]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Li, Zhihui |
| 作者单位 | 1.Yunnan Univ Finance & Econ, Sch Logist & Management Engn, Kunming 650221, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 6.Yuxi Normal Univ, Sch Chem Biol & Environm, Yuxi 653100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Haowei,Wu, Feng,Li, Zhihui,et al. Considering scale effects in water quality analysis to enhance the precision of influencing factor response analysis[J]. ECOLOGICAL INDICATORS,2024,163:112091. |
| APA | Wu, Haowei,Wu, Feng,Li, Zhihui,Gao, Xing,Wu, Xianhua,&Bao, Guangjing.(2024).Considering scale effects in water quality analysis to enhance the precision of influencing factor response analysis.ECOLOGICAL INDICATORS,163,112091. |
| MLA | Wu, Haowei,et al."Considering scale effects in water quality analysis to enhance the precision of influencing factor response analysis".ECOLOGICAL INDICATORS 163(2024):112091. |
入库方式： OAI收割
来源：地理科学与资源研究所
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