自然资源学报 ›› 2019, Vol. 34 ›› Issue (12): 2580-2587.doi: 10.31497/zrzyxb.20191208
收稿日期:
2019-03-11
修回日期:
2019-06-18
出版日期:
2019-12-28
发布日期:
2019-12-28
作者简介:
作者简介:白军红(1976- ),男,河北无极人,教授,研究方向为湿地生态修复。E-mail: junhongbai@163.com
基金资助:
BAI Jun-hong(), YE Xiao-fei, HU Xing-yun, WANG Wei, ZHANG Ling
Received:
2019-03-11
Revised:
2019-06-18
Online:
2019-12-28
Published:
2019-12-28
摘要:
以黄河口不同淹水条件的芦苇湿地为研究对象(潮汐淹水湿地、淡水恢复湿地和季节性淹水湿地),通过吸附模拟实验探讨了不同类型湿地表层土壤对磷的吸附动力学特征及其影响因素,评估了不同淹水条件下湿地土壤对磷的吸附能力。研究结果表明:具有不同水盐条件的芦苇湿地土壤对上覆水体中磷的吸附表现为淡水恢复湿地>潮汐淹水湿地>季节性淹水湿地,淡水恢复湿地土壤对磷的吸附量最大;三类湿地土壤对磷的吸附过程均表现为初期(0~3 h)最快、中期(3~24 h)逐渐减慢、后期(24 h以后)慢而平衡的状态,但淡水恢复湿地土壤对磷的吸附速率最快,季节性淹水湿地土壤对磷的吸附速率最慢且存在着时间上的延迟性;三类湿地土壤的水盐条件和理化性质差异(如pH、盐度、土壤质地、Al0、Fe0和Ca0)是导致三类湿地土壤对磷的吸附量和吸附速率存在差异的主要因素;Simple Elovich模型和Power Function模型更适合模拟黄河口芦苇(Phragmites australis)湿地土壤对磷的吸附动力学特征。在黄河口退化芦苇湿地实施淡水恢复工程,能够在一定程度上促进湿地土壤对磷的吸附,进而降低湿地水体发生富营养化的风险。
白军红, 叶晓飞, 胡星云, 王伟, 张玲. 黄河口典型芦苇湿地土壤磷的吸附动力学特征[J]. 自然资源学报, 2019, 34(12): 2580-2587.
BAI Jun-hong, YE Xiao-fei, HU Xing-yun, WANG Wei, ZHANG Ling. Adsorption kinetics of phosphorus on typical wetland soils with Phragmites australis in the Yellow River Estuary[J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(12): 2580-2587.
表1
黄河口不同水盐条件下湿地土壤样品的理化性质"
采样点 | pH | EC /(ms·cm-1) | Clay /% | Silt /% | Sand /% | Al0 /(mg·kg-1) | Fe0 /(mg·kg-1) | Ca0 /(103mg·kg-1) |
---|---|---|---|---|---|---|---|---|
TW | 8.78 ±0.08 | 2.89 ±0.48 | 6.60 ±0.05 | 49.53 ±2.65 | 43.87 ±2.65 | 464.08 ±25.40 | 1141.38 ±17.92 | 23.78 ±2.23 |
FW | 8.25 ±0.09 | 1.75 ±0.29 | 4.79 ±1.19 | 59.11 ±2.24 | 36.09 ±3.43 | 564.58 ±49.80 | 2294.10 ±46.15 | 18.49 ±2.42 |
SW | 8.90 ±0.05 | 0.50 ±0.01 | 1.86 ±0.66 | 32.26 ±1.73 | 65.88 ±2.39 | 498.47 ±21.80 | 1212.51 ±35.50 | 31.03 ±1.49 |
表3
不同类型滨海湿地土壤磷素吸附动力学模型参数"
吸附动力学模型 | 参数 | TW | FW | SW |
---|---|---|---|---|
一级动力学 | a | 0.2510 | 0.1086 | 0.6987 |
b | 0.0360 | 0.1634 | 0.0279 | |
R2 | 0.7365 | 0.8334 | 0.7097 | |
二级动力学 | a | 0.2727 | 0.1242 | 0.7410 |
b | 0.0815 | 0.3743 | 0.0552 | |
R2 | 0.8266 | 0.9446 | 0.7815 | |
Simple Elovich model | a | 42.3183 | 44.7556 | 35.6305 |
b | 0.6369 | 0.3003 | 1.5787 | |
R2 | 0.9747 | 0.9799 | 0.9355 | |
Power Function model | a | 42.3112 | 44.7541 | 35.5838 |
b | 0.0148 | 0.0067 | 0.0420 | |
R2 | 0.9730 | 0.9790 | 0.9312 | |
Langmuir model | a | 3378.8946 | 8392.5474 | 927.0680 |
b | 77.3634 | 184.9350 | 23.7179 | |
R2 | 0.7129 | 0.6679 | 0.6670 |
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