地理科学进展 ›› 2019, Vol. 38 ›› Issue (8): 1150-1158.doi: 10.18306/dlkxjz.2019.08.004
朱青1,2,廖凯华1,2,赖晓明1,2,刘亚1,2,吕立刚3
收稿日期:
2018-06-12
修回日期:
2018-11-27
出版日期:
2019-08-25
发布日期:
2019-08-25
作者简介:
朱青(1980— ),男,贵州安顺人,研究员,从事土壤水文过程与营养盐输移耦合研究。E-mail: qzhu@niglas.ac.cn
基金资助:
ZHU Qing1,2,LIAO Kaihua1,2,LAI Xiaoming1,2,LIU Ya1,2,LV Ligang3
Received:
2018-06-12
Revised:
2018-11-27
Online:
2019-08-25
Published:
2019-08-25
Supported by:
摘要:
土壤水分调控着陆地表层系统空间格局和过程,作为地表不同圈层中物质和能量输移转化的关键纽带和驱动力,连接着一系列的水文、生态、气候和地质学过程。论文首先介绍了流土壤水分静态特征(土壤含水量和基质势时空变化)在流域范围内不同空间尺度上监测方法的优缺点,包括直接手动监测、直接自动监测、地球物理探测和遥感监测等;同时介绍了其动态特征(土壤水分运动)监测方法(径流小区法、示踪剂法和地球物理探测)的局限性和模拟模型(动力波模型、水量平衡模型和水动力模型等)的关键参数和过程。在此基础上提出了:① 加强土壤水分监测尺度与方法的集成;② 消除土壤水分运动模型不确定性;③ 耦合土壤水分与碳氮输移循环过程等3个方面的研究展望和建议,从而为高时空分辨率和高精度的土壤水分数据获取,以及土壤水分运动与分布及其驱动下的碳氮排放过程、机理的揭示和模拟提供新的研究视角与思路。
朱青,廖凯华,赖晓明,刘亚,吕立刚. 流域多尺度土壤水分监测与模拟研究进展[J]. 地理科学进展, 2019, 38(8): 1150-1158.
ZHU Qing,LIAO Kaihua,LAI Xiaoming,LIU Ya,LV Ligang. A review of soil water monitoring and modelling across spatial scales in the watershed[J]. PROGRESS IN GEOGRAPHY, 2019, 38(8): 1150-1158.
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