| WATER RESEARCH | 卷:202 |
| Characterizing 19 thousand Chinese lakes, ponds and reservoirs by morphometric, climate and sediment characteristics | |
| Article | |
| Janssen, Annette B. G.1  Droppers, Bram1  Kong, Xiangzhen2,3  Teurlincx, Sven4  Tong, Yindong5  Kroeze, Carolien1  | |
| [1] Wageningen Univ & Res, Water Syst & Global Change Grp, POB 47, NL-6700 AA Wageningen, Netherlands | |
| [2] UFZ Helmholtz Ctr Environm Res, Dept Lake Res, Bruckstr 3a, D-39114 Magdeburg, Germany | |
| [3] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Peoples R China | |
| [4] Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, POB 50, NL-6700 AB Wageningen, Netherlands | |
| [5] Tianjin Univ, Sch Environm Sci & Engn, Tianjin 30000, Peoples R China | |
| 关键词: Eutrophication; Algal blooms; Vulnerability; Stratification; VIC-LAKE; PCLake; | |
| DOI : 10.1016/j.watres.2021.117427 | |
| 来源: Elsevier | |
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【 摘 要 】
Chinese lakes, including ponds and reservoirs, are increasingly threatened by algal blooms. Yet, each lake is unique, leading to large inter-lake variation in lake vulnerability to algal blooms. Here, we aim to assess the effects of unique lake characteristics on lake vulnerability to algal blooms. To this end, we built a novel and comprehensive database of lake morphometric, climate and sediment characteristics of 19,536 Chinese lakes, including ponds and reservoirs (>0.1 km2). We assessed lake characteristics for nine stratification classes and show that lakes, including ponds and reservoirs, in eastern China typically have a warm stratification class (Tavg>4 degrees C) and are slightly deeper than those in western China. Model results for representative lakes suggest that the most vulnerable lakes to algal blooms are in eastern China where pollution levels are also highest. Our characterization provides an important baseline to inform policymakers in what regions lakes are potentially most vulnerable to algal blooms.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_watres_2021_117427.pdf | 10278KB |
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