[1]杨明非,刘田田,王伟,等.基于墒情自动测报的江苏省土壤墒情时空变化规律研究[J].江苏水利,2024,(01):6-10.
　YANG Mingfei,LIU Tiantian,WANG Wei,et al.Study on the spatiotemporal variation of soil moisture in Jiangsu Province based on automatic measurement and reporting of soil moisture content[J].JIANGSU WATER RESOURCES,2024,(01):6-10.
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基于墒情自动测报的江苏省土壤墒情时空变化规律研究()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年01期
页码:
6-10
栏目:
农村水利
出版日期:
2024-01-15

文章信息/Info

Title:
Study on the spatiotemporal variation of soil moisture in Jiangsu Province based on automatic measurement and reporting of soil moisture content
文章编号:
1007-7839（2024）01-0006-0005
作者:
杨明非1; 刘田田1; 王伟1; 欣尚韬2
（1. 江苏省水文水资源勘测局徐州分局，江苏 徐州 221018；2. 江苏省水文水资源勘测局，江苏 南京 210029）
Author(s):
YANG Mingfei1;  LIU Tiantian1;  WANG Wei1;  XIN Shangtao2
（1. Xuzhou Branche of Jiangsu Province Hydrology and Water Resources Investigation Bureau, Xuzhou 221018, China；2. Jiangsu Province Hydrology and Water Resources Investigation Bureau, Nanjing 210029, China）
关键词:
土壤墒情; 时空变化; 江苏省
Keywords:
soil moisture content;  spatiotemporal variation;  Jiangsu Province
分类号:
S151.9
文献标志码:
B
摘要:
通过研究自然条件下的江苏省土壤墒情时空变化规律，为防旱减灾、水利规划建设和区域水资源开发与管理等工作提供科学依据。根据江苏省2016—2022年的土壤墒情数据，并结合土壤物理特性和降水、蒸发等的影响，从不同角度分析了江苏省土壤墒情的变化规律。结果表明：空间上，多年平均情况下江苏省土壤墒情总体呈由苏北向苏南递增趋势；土壤含水量的年际变化受降水和蒸发因素影响明显，与降水量呈正相关关系，与蒸发量呈负相关关系；土壤墒情年内变化大致可分为稳定期、大量消耗期、快速恢复期和缓慢消耗期等4个时期。
Abstract:
By studying the spatiotemporal variation law of soil moisture in Jiangsu province under natural conditions, it can provide scientific basis for drought prevention and disaster reduction, water conservancy planning and construction, and regional water resources development and management. Based on the data of soil moisture in Jiangsu Province from 2016 to 2022, combined with the effects of soil physical characteristics, precipitation and evaporation, the change law of soil moisture in Jiangsu Province was analyzed from different perspectives. The results indicate that: Spatially, the soil moisture content in Jiangsu Province has been increasing from north to south of Jiangsu Province on average for many years; The inter-annual variation of soil water content was obviously affected by precipitation and evaporation factors, and was positively correlated with precipitation and negatively correlated with evaporation; The annual variation of soil moisture can be roughly divided into four periods: stable period, large consumption period, rapid recovery period and slow consumption period.

参考文献/References:

[1]项瑛，张余庆，许琪，等. 江苏省主要气象灾害时空分布及演变特征分析[J]. 中国农学通报，2019，35（19）：112-119.
[2]吴志勇，白博宇，何海，等. 珠江流域1981—2020年水文干旱时空特征分析[J]. 河海大学学报（自然科学版）， 2023，51（1）：1-9.
[3]郝增超，张璇，郝芳华，等. 2022年夏季长江流域复合高温干旱事件的影响及应对[J]. 水资源保护，2023，39（6）：46-52.
[4]SU B，HUANG J，FISCHER T，et al. Drought losses in China might double between the 1.5 ℃ and 2.0 ℃ warming [J]. Proceedingsof the National Academy of Sciences ofthe United States of America，2018，115（42）：10600-10605.
[5]虞美秀，董吴欣，张建云，等. 基于大范围地面墒情监测的鄱阳湖流域农业干旱[J]. 水科学进展，2022，33（3）：185-195.
[6]钟维斌. 黄山市土壤墒情变化规律分析[J]. 中国水土保持SWCC，2018（9）：55-58.
[7]杨卫中，王一鸣，石庆兰，等. 吉林市土壤墒情监测系统开发及利用[J]. 农业工程学报，2010，26（增刊2）：177-181.
[8]宋炜，张志秀，钱昊，等. 江苏省墒情自动监测系统的设计与应用[J]. 中国防汛抗旱，2020（3）：27-31.

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备注/Memo

备注/Memo:
收稿日期：2023-11-02
作者简介：杨明非（1975—），女，高级工程师，本科，主要从事水文水资源分析利用及水文预报工作。E-mail:386314603@qq.com
更新日期/Last Update: 2024-01-30