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近10年中国典型农田生态系统水体pH和矿化度变化特征

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刘旭艳, 张心昱, 袁国富, 朱治林, 唐新斋, 孙晓敏. 近10年中国典型农田生态系统水体pH和矿化度变化特征[J]. 环境化学, 2019, 38(6): 1214-1222. doi: 10.7524/j.issn.0254-6108.2018081503
引用本文: 刘旭艳, 张心昱, 袁国富, 朱治林, 唐新斋, 孙晓敏. 近10年中国典型农田生态系统水体pH和矿化度变化特征[J]. 环境化学, 2019, 38(6): 1214-1222. doi: 10.7524/j.issn.0254-6108.2018081503
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LIU Xuyan, ZHANG Xinyu, YUAN Guofu, ZHU Zhilin, TANG Xinzhai, SUN Xiaomin. Decadal variations in pH and salinity of waters in typical agro-ecosystems in China[J]. Environmental Chemistry, 2019, 38(6): 1214-1222. doi: 10.7524/j.issn.0254-6108.2018081503
Citation: LIU Xuyan, ZHANG Xinyu, YUAN Guofu, ZHU Zhilin, TANG Xinzhai, SUN Xiaomin. Decadal variations in pH and salinity of waters in typical agro-ecosystems in China[J]. Environmental Chemistry, 2019, 38(6): 1214-1222. doi: 10.7524/j.issn.0254-6108.2018081503
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近10年中国典型农田生态系统水体pH和矿化度变化特征

  • 1.

    中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京, 100101;

  • 2.

    中国科学院大学资源与环境学院, 北京, 100190

  • 基金项目:

    国家重点研发计划（2017YFC0503801）资助.

Decadal variations in pH and salinity of waters in typical agro-ecosystems in China

  • 1.

    Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;

  • 2.

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China

  • Fund Project: Supported by the National Key R&D Program of China(2017YFC0503801).

  • 摘要: 选取中国生态系统研究网络（CERN）12个典型农田生态系统，2004-2006年和2014-2016年降水、地表水、地下水pH和矿化度的监测数据，分析中国典型农田生态系统10年间pH和矿化度的变化特征.结果表明，红壤丘陵区降水、地表水、地下水pH最低.10年间桃源、千烟洲降水pH显著降低，且2014-2016年pH 黄土高原 > 东北平原 > 长江三角洲 > 川中丘陵 > 红壤丘陵区.其中禹城（936-1183 mg·L-1）最高，鹰潭和千烟洲最低（25-87 mg·L-1）.10年间桃源和千烟洲地表水矿化度降低138 mg·L-1和62 mg·L-1，其余农田生态系统变化不显著；地下水矿化度禹城（1594-2094 mg·L-1）最高，为Ⅳ类地下水（1000-2000 mg·L-1）；封丘、栾城、安塞、常熟、盐亭、沈阳（319-750 mg·L-1）其次，为Ⅲ类（500-1000 mg·L-1）或Ⅱ类（300-500 mg·L-1）；其余生态系统达Ⅰ类（-1）地下水标准.10年间禹城地下水矿化度增加500 mg·L-1，沈阳、长武、盐亭、千烟洲、常熟站、桃源降低102-384 mg·L-1.不同空间格局、地质结构差异、化石燃料燃烧、人类活动（耕作、施肥、灌溉）是造成农田生态系统各水体pH和矿化度变化的主要原因.本研究结果为生态系统水体酸碱度、矿化度评估及其长期动态变化提供数据依据.
    Abstract: Twelve typical agro-ecosystems of the Chinese Ecosystem Research Network (CERN) were chosen to analyze the temporal and spatial variations in water pH and salinity of China's typical agro-ecosystems by using the data of pH of rainwater, surface water and groundwater, and salinity collected during 2004-2006 and 2014-2016. The results show that, the pH of rainwater, surface water and groundwater was lowest in the red soil hilly region, and the rainwater pH decreased significantly during the past 10 years in the Taoyuan and Qianyanzhou, reaching the level of acid deposition with pH Loess Plateau > Northeast Plain > Yangtze River Delta > Middle Sichuan Hilly > red soil hilly region. Among them, surface water salinity was highest in Yucheng (936-1183 mg·L-1), and lowest in Yingtan and Qianyanzhou (25-87 mg·L-1). During this period, the surface water salinity decreased by 138 mg·L-1 in Taoyuan and 62 mg·L-1 in Qianyanzhou, respectively, but did not change significantly in other agro-ecosystems. Groundwater salinity was highest in Yucheng (1594-2094 mg·L-1), which was classified as type IV of water quality (1000-2000 mg·L-1). Next to Yucheng, Fengqiu, Luancheng, Ansai, Changshu, Yanting and Shenyang (319-750 mg·L-1) were all classified as type Ⅲ (500-1000 mg·L-1) or type Ⅱ (300-500 mg·L-1) of water quality. Other ecosystems were classified as type Ⅰ of water quality (-1). During the same period, the groundwater salinity increased by 500 mg·L-1 in the Yucheng, and decreased by 102-384 mg·L-1 in the Shenyang, Changwu, Yanting, Qianyanzhou, Changshu and Taoyuan. Variability in pH and salinity spatial patterns, geological structures, fossil fuel burning, human activities (tillage, fertilization, irrigation) are mostly responsible for the variations in pH and salinity of different water bodies in the agro-ecosystem. This study provides a data basis for evaluating water pH and salinity and their long-term changes in ecosystems.
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  • 收稿日期:  2018-08-15
  • 刊出日期:  2019-06-15

近10年中国典型农田生态系统水体pH和矿化度变化特征

  • 1.  中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京, 100101;
  • 2.  中国科学院大学资源与环境学院, 北京, 100190
  • 收稿日期:  2018-08-15
基金项目:

国家重点研发计划（2017YFC0503801）资助.

摘要: 选取中国生态系统研究网络（CERN）12个典型农田生态系统，2004-2006年和2014-2016年降水、地表水、地下水pH和矿化度的监测数据，分析中国典型农田生态系统10年间pH和矿化度的变化特征.结果表明，红壤丘陵区降水、地表水、地下水pH最低.10年间桃源、千烟洲降水pH显著降低，且2014-2016年pH 黄土高原 > 东北平原 > 长江三角洲 > 川中丘陵 > 红壤丘陵区.其中禹城（936-1183 mg·L-1）最高，鹰潭和千烟洲最低（25-87 mg·L-1）.10年间桃源和千烟洲地表水矿化度降低138 mg·L-1和62 mg·L-1，其余农田生态系统变化不显著；地下水矿化度禹城（1594-2094 mg·L-1）最高，为Ⅳ类地下水（1000-2000 mg·L-1）；封丘、栾城、安塞、常熟、盐亭、沈阳（319-750 mg·L-1）其次，为Ⅲ类（500-1000 mg·L-1）或Ⅱ类（300-500 mg·L-1）；其余生态系统达Ⅰ类（-1）地下水标准.10年间禹城地下水矿化度增加500 mg·L-1，沈阳、长武、盐亭、千烟洲、常熟站、桃源降低102-384 mg·L-1.不同空间格局、地质结构差异、化石燃料燃烧、人类活动（耕作、施肥、灌溉）是造成农田生态系统各水体pH和矿化度变化的主要原因.本研究结果为生态系统水体酸碱度、矿化度评估及其长期动态变化提供数据依据.

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