Estimating soil moisture under low frequency surface irrigation using crop water stress index

被引:73
作者
Colaizzi, PD
Barnes, EM
Clarke, TR
Choi, CY
Waller, PM
机构
[1] USDA ARS, Conservat & Prod Res Lab, Bushland, TX 79012 USA
[2] USDA ARS, US Water Conservat Lab, Phoenix, AZ 85040 USA
[3] Univ Arizona, Dept Agr & Biosyst Engn, Tucson, AZ 85721 USA
关键词
soil moisture; surface irrigation;
D O I
10.1061/(ASCE)0733-9437(2003)129:1(27)
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The present study investigated the relationship between the crop water stress index (CWSI) and soil moisture for surface irrigated cotton (Gossypium hirsutum, Delta Pine 90b) at Maricopa, Arizona during the 1998 season. The CWSI was linked to soil moisture through the water stress coefficient K-s that accounts for reduced crop evapotranspiration when there is a shortage of soil water. A stress recovery coefficient K-rec was introduced to account for reduced crop evapotranspiration as the crop recovered from water stress after irrigation events. A soil water stress index (SWSI) was derived in terms of K-s and K-rec. The SWSI compared reasonably well to the CWSI, but atmospheric stability correction for the CWSI did not improve comparisons. When the CWSI was substituted into the SWSI formulation, it gave good prediction of soil moisture depletion (fDEP; when to irrigate) and depth of root zone depletion (D-r; how much to irrigate). Disagreement was greatest for fDEP<0.6 because cotton is less sensitive to water stress in this range.
引用
收藏
页码:27 / 35
页数:9
相关论文
共 50 条
  • [31] Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L var italica)
    Erdem, Yesim
    Arin, Levent
    Erdem, Tolga
    Polat, Serdar
    Deveci, Murat
    Okursoy, Hakan
    Gultas, Huseyin T.
    AGRICULTURAL WATER MANAGEMENT, 2010, 98 (01) : 148 - 156
  • [32] Satellite detection of soil moisture related water stress impacts on ecosystem productivity using the MODIS-based photochemical reflectance index
    He, Mingzhu
    Kimball, John S.
    Running, Steven
    Ballantyne, Ashley
    Guan, Kaiyu
    Huemmrich, Fred
    REMOTE SENSING OF ENVIRONMENT, 2016, 186 : 173 - 183
  • [33] Modelling soil moisture, water partitioning, and plant water stress under irrigated conditions in desert urban areas
    Volo, Thomas J.
    Vivoni, Enrique R.
    Martin, Chris A.
    Earl, Stevan
    Ruddell, Benjamin L.
    ECOHYDROLOGY, 2014, 7 (05) : 1297 - 1313
  • [34] SALTMED MODEL TO SIMULATE YIELD AND DRY MATTER FOR QUINOA CROP AND SOIL MOISTURE CONTENT UNDER DIFFERENT IRRIGATION STRATEGIES IN SOUTH ITALY
    Pulvento, C.
    Riccardi, M.
    Lavini, A.
    D'Andria, R.
    Ragab, R.
    IRRIGATION AND DRAINAGE, 2013, 62 (02) : 229 - 238
  • [35] Surface soil moisture status over the Mackenzie River Basin using a Temperature/Vegetation index
    Naira, Chaouch
    Robert, Leconte
    Ramata, Magagi
    Marouane, Temimi
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1846 - +
  • [36] Estimating the necessary sampling size of surface soil moisture at different scales using a random combination method
    Wang, Chunmei
    Zuo, Qiang
    Zhang, Renduo
    JOURNAL OF HYDROLOGY, 2008, 352 (3-4) : 309 - 321
  • [37] EFFECTS OF PIT DEPTH AND SOIL MOISTURE ON THE PHOTOSYNTHETIC CHARACTERISTICS OF YOUNG APPLE TREES UNDER WATER STORAGE PIT IRRIGATION
    Guo, Xianghong
    Lei, Tao
    Sun, Xihuan
    Ma, Juanjuan
    Zheng, Lijian
    FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (11): : 8031 - 8040
  • [38] Spatial distribution of soil moisture, soil salinity, and root density beneath a cotton field under mulched drip irrigation with brackish and fresh water
    Chen, Wenling
    Jin, Menggui
    Ferre, Ty P. A.
    Liu, Yanfeng
    Xian, Yang
    Shan, Tianrui
    Ping, Xue
    FIELD CROPS RESEARCH, 2018, 215 : 207 - 221
  • [39] Soil moisture retrieval under wheat crop using RISAT-1 hybrid polarimetric SAR data
    Sharma, P. K.
    Kumar, D.
    Srivastava, H. S.
    Patel, P.
    Sivasankar, T.
    JOURNAL OF AGROMETEOROLOGY, 2019, 21 (01): : 58 - 62
  • [40] A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index
    Owe, M
    de Jeu, R
    Walker, J
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (08): : 1643 - 1654