Soil moisture change analysis under watershed management practice using in situ and remote sensing data in a paired watershed

被引:0
|
作者
Majid Kazemzadeh
Ali Salajegheh
Arash Malekian
Abdolmajid Liaghat
Hossein Hashemi
机构
[1] University of Tehran,Faculty of Natural Resources
[2] University of Tehran,College of Agriculture and Natural Resources
[3] Lund University,Department of Water Resources Engineering & Center for Advanced Middle Eastern Studies
来源
关键词
LST; TVDI; Vegetation cover; Treated watershed; Iran;
D O I
暂无
中图分类号
学科分类号
摘要
Soil moisture, vegetation cover, and land surface temperature are vital variables in water-energy balance, eco-hydrological processes, and water resources management, which can be influenced by watershed management activities. This research focused on the spatial and temporal variability of soil moisture, vegetation cover, land surface temperature, and Temperature-Vegetation Dryness Index (TVDI) under a biological watershed management practice in the Taleghan paired watershed, namely, treated (TW) and control watersheds (CW), in Alborz province, Iran. In this research, along with the remote sensing techniques, the soil moisture and vegetation cover data were measured and statistically analyzed in the three aspects of both TW and CW during a growth period from May to October 2017. The results indicated that soil moisture, vegetation cover, and land surface temperature values in the paired watershed were significantly different at the 0.01 level during the study period. The increased vegetation cover in the TW had an inverse effect on the land surface temperature and TVDI, while directly impacted the soil moisture content. The average TVDI in the CW was 0.83, while this index was found to be 0.69 in the TW. Unlike the vegetation cover and soil moisture, the results revealed that the southern aspects had the highest TVDI and land surface temperature compared to the northern and eastern aspects of both watersheds. However, the increased vegetation cover as a biological watershed management activity in the steep terrain and mountainous areas of TW led to an increased soil moisture and a decreased land surface temperature and soil dryness. As a result, decreasing soil dryness in the TW can exert vital controls on the water resources and increasing water availability. In the arid and semiarid countries such as Iran, a proper watershed management activity can effectively increase soil moisture and water availability in the watersheds. In particular, the vegetation cover protection and biological practices can be considered as practical solutions in the rehabilitation of exhausted watersheds in arid and semiarid environments.
引用
收藏
相关论文
共 50 条
  • [1] Soil moisture change analysis under watershed management practice using in situ and remote sensing data in a paired watershed
    Kazemzadeh, Majid
    Salajegheh, Ali
    Malekian, Arash
    Liaghat, Abdolmajid
    Hashemi, Hossein
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2021, 193 (05)
  • [2] Soil moisture at watershed scale: Remote sensing techniques
    Fang, Bin
    Lakshmi, Venkat
    JOURNAL OF HYDROLOGY, 2014, 516 : 258 - 272
  • [3] Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context
    Bueno, Marcelo
    Garcia, Carlos Baca
    Montoya, Nilton
    Rau, Pedro
    Loayza, Hildo
    SCIENTIA AGROPECUARIA, 2024, 15 (01) : 103 - 120
  • [4] Modeling the spatial and temporal distribution of soil moisture at watershed scales using remote-sensing and GIS
    Starks, PJ
    Ross, JD
    Heathman, GC
    SPATIAL METHODS FOR SOLUTION OF ENVIRONMENTAL AND HYDROLOGIC PROBLEMS-SCIENCE, POLICY, AND STANDARDIZATION, 2003, 1420 : 58 - 74
  • [5] Remote Sensing and Markov Model Analysis on Forest Change in Hun Watershed
    Wang Dianzhong
    Hao Zhanqing
    Han Wenquan
    Sun, Guoqing
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 3090 - +
  • [6] Analysis of cultivated land change by remote sensing data in the Huangshui River watershed, northwestern China
    Gao, Xiaohong
    Feng, Shichao
    Xie, Jiaan
    Li, Jinshan
    EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS II, 2011, 8181
  • [8] Analysis of a small agricultural watershed using remote sensing techniques
    Tamas, Janos
    Lenart, Csaba
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (17) : 3727 - 3738
  • [9] Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data
    Nicolai-Shaw, Nadine
    Hirschi, Martin
    Mittelbach, Heidi
    Seneviratne, Sonia I.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (19) : 9955 - 9964
  • [10] Multivariate analysis of paired watershed data to evaluate agricultural best management practice effects on stream water phosphorus
    Bishop, PL
    Hively, WD
    Stedinger, JR
    Rafferty, MR
    Lojpersberger, JL
    Bloomfield, JA
    JOURNAL OF ENVIRONMENTAL QUALITY, 2005, 34 (03) : 1087 - 1101