Vol.33, NO.5, 2022
Turn off MathJax
Article Contents
Article Navigation >  Journal of Applied Meteorological Science  > 2022  >  33(5): 513-526
Song Yanling. Global research progress of drought indices. J Appl Meteor Sci, 2022, 33(5): 513-526. DOI:  10.11898/1001-7313.20220501.
Citation: Song Yanling. Global research progress of drought indices. J Appl Meteor Sci, 2022, 33(5): 513-526. DOI:  10.11898/1001-7313.20220501.
shu

Global Research Progress of Drought Indices

DOI: 10.11898/1001-7313.20220501
  • 1.

    State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081

  • 2.

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044

  • Received Date: 2022-07-04
  • Rev Recd Date: 2022-07-29
  • Publish Date: 2022-09-15
    Abstract
  • Drought is the most serious meteorological disaster in the world with the heaviest economic loss and the widest range, affecting social economy and people's lives. The impacts of drought are diverse, affecting agriculture, food security, water conservancy and power generation, industry, human and animal health, and so on. In recent decades, drought events occur frequently in China. Coupled with the rapid economic development and population growth, the adverse impact of drought on society and the harm to people's living environment are becoming more and more serious. Therefore, it is of great significance to discuss the global research progress of drought indices for drought research, prevention and drought relief in China. The research on meteorological drought index, agricultural drought index, hydrological drought index, remote sensing drought index and comprehensive drought index in the world are investigated systematically, especially in Europe and the United States, including the source of each drought index, the input parameters for calculation, the ease of use, advantages, disadvantages, and the global use. The progress of drought research in China is also systematically introduced, including some new drought indices or improved drought indices proposed according to the research on the local drought evolution characteristics and risks, especially a series of new industrial or national standards on drought indexes developed. The main problems in drought research is also discussed, including the lack of applicability of drought index, the lack of research on new mechanism-based drought monitoring index and the lack of research on drought prediction and early warning. Therefore, strengthening the research on drought mechanism, carrying out quantitative assessment of drought monitoring and strengthening the application of numerical models in drought prediction and early warning are the key and difficult points of future research. Drought range, degree and trend prediction are of great significance for the selection of national disaster prevention and mitigation measures. Providing drought prediction and early warning information more than one month in advance can provide sufficient time for taking disaster prevention and mitigation measures. Therefore, it is particularly important to study the simulation ability of numerical models to different regions and strengthen the application of numerical models to drought prediction and early warning.
    • FullText(HTML)
    References(117)
  • [1]
    Wilhite D A.Drought as a Natural Hazard: Concepts and Definitions.Drought: A Global Assessment.London & New York: Routledge, 2000: 3-18.
    [2]
    Liu Y Q. The Study of Drought on Socioeconomic in China. Beijing: China Water Resources and Hydropower Press, 2005.
    [3]
    Zhang Q, Pan X B, Ma Z G, et al. Drought. Beijing: China Meteorological Press, 2009.
    [4]
    Palmer W C. Meteorological Drought. Research Paper No. 45, US Weather Bureau, Washington, DC, 1965.
    [5]
    McKee T B, Doesken N J, Kleist J. The Relationship of Drought Frequency and Duration to Time Scales. The 8th Conference on Applied Climatology, 1993.
    [6]
    Hayes M, Svoboda M, Wall N, et al. The Lincoln declaration on drought indices: Universal meteorological drought index recommended. Bull Amer Meteor Soc, 2011, 92(4): 485-488. doi:  10.1175/2010BAMS3103.1
    [7]
    Vicente-Serrano S M, Begueria S, Lopez-Moreno J I. A multi-scalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. J Climate, 2010, 23: 1696-1718. doi:  10.1175/2009JCLI2909.1
    [8]
    Sepulcre-Canto G, Horion S, Singleton A, et al. Development of a combined drought indicator to detect agricultural drought in Europe. Natural Hazards and Earth Systems Sciences, 2012, 12: 3519-3531. doi:  10.5194/nhess-12-3519-2012
    [9]
    Guttman N B. Comparing the Palmer drought index and the standardized precipitation index. Journal of the American Water Resources Association, 1998, 34: 113-121. doi:  10.1111/j.1752-1688.1998.tb05964.x
    [10]
    Guttman N B. Accepting the standardized precipitation index: A calculation algorithm. Journal of the American Water Resources Association, 1999, 35: 311-322. doi:  10.1111/j.1752-1688.1999.tb03592.x
    [11]
    Lu E. Determining the start, duration, and strength of flood and drought with daily precipitation: Rationale. Geophys Res Lett, 2009, 36: L12707. doi:  10.1029/2009GL038817
    [12]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization administration. GB/T20481-2006 Meteorological Drought Grade. Beijing: Standards Press of China, 2006.
    [13]
    Song Y L, Wang J L, Tian J F, et al. The spring maize drought index in Northeast China based on meteorological drought index. J Appl Meteor Sci, 2019, 30(1): 25-34. doi:  10.11898/1001-7313.20190103
    [14]
    Alley W M. The Palmer drought severity index: Limitations and assumptions. J Appl Meteor, 1984, 23: 1100-1109. doi:  10.1175/1520-0450(1984)023<1100:TPDSIL>2.0.CO;2
    [15]
    Hayes M J. Drought Indices. Van Nostrand's Scientific Encyclopedia, John Wiley & Sons, Inc. DOI: 10.1002/0471743984.vse8593.
    [16]
    Lyon B. The strength of El Ni o and the spatial extent of tropical drought. Geophys Res Lett, 2004, 31: L21204. DOI: 10.1029/2004GL020901.
    [17]
    Tsakiris G, Vangelis H. Establishing a drought index incorporating evapotranspiration. European Water, 2005, 9/10: 3-11. http://www.ewra.net/ew/pdf/EW_2005_9-10_01.pdf
    [18]
    Palmer W C. Keeping track of crop moisture conditions, nationwide: The crop moisture index. Weatherwise, 1968, 21: 156-161. doi:  10.1080/00431672.1968.9932814
    [19]
    Meyer S J, Hubbard K G, Wilhite D A. A crop-specific drought index for corn. I. Model development and validation. Agronomy Journal, 1993, 85: 388-395. doi:  10.2134/agronj1993.00021962008500020040x
    [20]
    Meyer S J, Hubbard K G, Wilhite D A. A crop-specific drought index for corn. Ⅱ. Application in drought monitoring and assessment. Agronomy Journal, 1993, 85: 396-399. doi:  10.2134/agronj1993.00021962008500020041x
    [21]
    Woli P, Jones J W, Ingram K T. Agricultural reference index for drought (ARID). Agronomy Journal, 2012, 104: 287-300. doi:  10.2134/agronj2011.0286
    [22]
    Bergman K H, Sabol P, Miskus D. Experimental Indices for Monitoring Global Drought Conditions. 13th Annual Climate Diagnostics Workshop, 1988.
    [23]
    Narasimhan B, Srinivasan R. Development and evaluation of soil moisture deficit index(SMDI) and evapotranspiration deficit index(ETDI) for agricultural drought monitoring. Agric For Meteorol, 2005, 133(1): 69-88. http://pdfs.semanticscholar.org/e917/7f7816e8b4eed340e14ad49e801b53126e5c.pdf
    [24]
    British Columbia Ministry of Agriculture. Soil Water Storage Capacity and Available Soil Moisture. Water Conservation Fact Sheet, 2015.
    [25]
    Shafer B A, Dezman L E. Development of a Surface Water Supply Index(SWSI) to Assess the Severity of Drought Conditions in Snowpack Runoff Areas//Proceedings of the Western Snow Conference, Colorado State University, Fort Collins, CO, 1982: 164-175.
    [26]
    Doesken N J, Garen D. Drought Monitoring in the Western United States using a Surface Water Supply Index//Preprints, Seventh Conference on Applied Climatology, Salt Lake City, UT. American Meteorology Society, 1991: 266-269.
    [27]
    Doesken N J, McKee T B, Kleist J. Development of a Surface Water Supply Index for the Western United States. Climatology Report, 1991.
    [28]
    Bhuiyan C. Various Drought Indices for Monitoring Drought Condition in Aravalli Terrain of India. The XXth ISPRS Conference. International Society for Photogrammetry and Remote Sensing, Istanbul, Turkey, 2004.
    [29]
    Keyantash J A, Dracup J A. An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage. Water Resources Research, 2004, 40: W09304. DOI: 10.1029/2003WR002610.
    [30]
    Nalbantis I, Tsakiris G. Assessment of hydrological drought revisited. Water Resources Management, 2008, 23(5): 881-897.
    [31]
    Telesca L, Lovallo M, Lopez-Moreno I, et al. Investigation of scaling properties in monthly streamflow and standardized streamflow index time series in the Ebro Basin (Spain). Physica A(Statistical Mechanics and its Applications), 2012, 391(4): 1662-1678. doi:  10.1016/j.physa.2011.10.023
    [32]
    Modarres R. Streamflow drought time series forecasting. Stochastic Environmental Research and Risk Assessment, 2007, 21: 223-233. doi:  10.1007/s00477-006-0058-1
    [33]
    Staudinger M, Stahl K, Seibert J. A drought index accounting for snow. Water Resour Res, 2014, 50: 7861-7872. doi:  10.1002/2013WR015143
    [34]
    Gusyev M A, Hasegawa A, Magome J, et al. Drought Assessment in the Pampanga River Basin, the Philippines. Part 1: A Role of Dam Infrastructure in Historical Droughts. The 21st International Congress on Modelling and Simulation(MODSIM 2015), 2015.
    [35]
    Tarpley J D, Schneider S R, Money R L. Global vegetation indices from the NOAA-7 meteorological satellite. J Climate Appl Meteor, 1984, 23: 491-494. doi:  10.1175/1520-0450(1984)023<0491:GVIFTN>2.0.CO;2
    [36]
    Kogan F N. Droughts of the late 1980s in the United States as derived from NOAA polarorbiting satellite data. Bull Amer Meteor Soc, 1995, 76(5): 655-668. doi:  10.1175/1520-0477(1995)076<0655:DOTLIT>2.0.CO;2
    [37]
    Huete A R. A soil-adjusted vegetation index(SAVI). Remote Sens Environ, 1988, 25(3): 295-309. doi:  10.1016/0034-4257(88)90106-X
    [38]
    Kogan F N. Remote sensing of weather impacts on vegetation in non-homogeneous areas. Int J Remote Sens, 1990, 11: 1405-1419. doi:  10.1080/01431169008955102
    [39]
    Kogan F N. Global drought watch from space. Bull Amer Meteor Soc, 1997, 78: 621-636. doi:  10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2
    [40]
    Kogan F N. Operational space technology for global vegetation assessments. Bull Amer Meteor Soc, 2001, 82(9): 1949-1964. doi:  10.1175/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2
    [41]
    Kogan F N. Application of vegetation index and brightness temperature for drought detection. Adv Space Res, 1995, 15(11): 91-100. doi:  10.1016/0273-1177(95)00079-T
    [42]
    Liu W T, Kogan F N. Monitoring regional drought using the vegetation condition index. Int J Remote Sens, 1996, 17(14): 2761-2782. doi:  10.1080/01431169608949106
    [43]
    Gao B C. NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens Environ, 1996, 58(3): 257-266. doi:  10.1016/S0034-4257(96)00067-3
    [44]
    Chandrasekar K, Sesha Sai M V R, Roy P S, et al. Land surface water index(LSWI) response to rainfall and NDVI using the MODIS vegetation index product. Int J Remote Sens, 2010, 31: 3987-4005. doi:  10.1080/01431160802575653
    [45]
    Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ, 2002, 83(1): 195-213.
    [46]
    Verdin J, Klaver R. Grid-cell-based crop water accounting for the famine early warning system. Hydrological Processes, 2002, 16(8): 1617-1630. doi:  10.1002/hyp.1025
    [47]
    Brown J F, Wardlow B D, Tadesse T, et al. The vegetation drought response index(VegDRI): A new integrated approach for monitoring drought stress in vegetation. GIScience & Remote Sensing, 2008, 45: 16-46. doi:  10.2747/1548-1603.45.1.16
    [48]
    Anderson M C, Hain C, Wardlow B, et al. Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States. J Climate, 2011, 24(8): 2025-2044. doi:  10.1175/2010JCLI3812.1
    [49]
    Svoboda M, Lecomte D, Hayes M, et al. The drought monitor. Bull Amer Meteor Soc, 2002, 83(8): 1181-1190. doi:  10.1175/1520-0477(2002)083<1181:TDM>2.3.CO;2
    [50]
    Rodell M, Houser P, Jambor U, et al. The global land data assimilation system. Bull Amer Meteor Soc, 2004, 85(3): 381-394. doi:  10.1175/BAMS-85-3-381
    [51]
    Xia Y, Mitchell K, Michael E, et al. Continental-scale water and energy flux analysis and validation for the North American land data assimilation system project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J Geophys Res, 2012, 117: D03109. DOI:10.1029/2011JD- 016048.
    [52]
    Mitchell K E, Lohmann D, Houser P R, et al. The multi-institution North American land data assimilation system (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modelling system. J Geophys Res, 2004, 109: D07S90. DOI: 10.1029/2003JD003823.
    [53]
    Hao Z, AghaKouchak A, Nakhjiri N, et al. Global integrated drought monitoring and prediction system. Scientific Data, 2014, 1: 1-10.
    [54]
    Hao Z, AghaKouchak A. Multivariate standardized drought index: A multi-index parametric approach for drought analysis. Adv Water Res, 2013, 57: 12-18. doi:  10.1016/j.advwatres.2013.03.009
    [55]
    Liu X Y, Hao W P, Zhang J. Drought indicators and their applications in field scale. Chinese J Agrometeor, 2005, 26(2): 99-105. doi:  10.3969/j.issn.1000-6362.2005.02.008
    [56]
    Li W G, Chen H L, Zhu N H, et al. Analysis of drought monitoring on Hainan Island from standardized precipitation index. Chinese Journal of Eco-Agriculture, 2009, 17(1): 178-182. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTN200901036.htm
    [57]
    Feng J S, Wang J Y. The application of relative humidity index to agricultural drought monitoring. J Appl Meteor Sci, 2011, 22(6): 766-772. doi:  10.3969/j.issn.1001-7313.2011.06.016
    [58]
    Yu M, Wang C L. Satellite remote sensing drought monitoring methods based on different biophysical indicators. J Appl Meteor Sci, 2011, 22(2): 221-231. doi:  10.3969/j.issn.1001-7313.2011.02.011
    [59]
    Sun H, Chen Y H, Sun H Q. Comparisons and classification system of typical remote sensing indexes for agricultural drought. Transactions of the CSAE, 2012, 28(14): 147-154. doi:  10.3969/j.issn.1002-6819.2012.14.023
    [60]
    Wang C L, Chen H H, Tang L S, et al. A daily meteorological drought indicator based on standardized antecedent precipitation index and its spatial-temperal variation. Climate Change Research, 2012, 8(3): 157-163. doi:  10.3969/j.issn.1673-1719.2012.03.001
    [61]
    Wang C H, Wang L Z, Guo Y P. Application and verification of drought index in meteorology drought monitor andprediction. Adv Earth Sci, 2012, 27(9): 957-968. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201209006.htm
    [62]
    Zhuang S W, Zuo H C, Ren P C, et al. Application of standardized precipitation evapotranspiration index in China. Climatic and Environmental Research, 2013, 18 (5): 617-625. https://www.cnki.com.cn/Article/CJFDTOTAL-QHYH201305007.htm
    [63]
    Qin P C, Liu M, Wan S Q, et al. Modification and applicability evaluation of comprehensive monitoring index of meteorological drought in Hubei Province. Meteor Sci Technol, 2014, 42(2): 341-347. doi:  10.3969/j.issn.1671-6345.2014.02.028
    [64]
    Xie W S, Wang S, Tang W A, et al. Comparative analysis on the applicability of drought indexes in the Huaihe River Basin. J Appl Meteor Sci, 2014, 25(2): 176-184. doi:  10.3969/j.issn.1001-7313.2014.02.007
    [65]
    Wang S P, Wang J S, Zhang Q, et al. Applicability evaluation of drought indices in monthly scale drought monitoring in Southwestern and Southern China. Plateau Meteor, 2015, 34(6): 1616-1624. https://www.cnki.com.cn/Article/CJFDTOTAL-GYQX201506011.htm
    [66]
    Huang Y X, Liu X G, Shen Y L. Progress on remote sensing monitoring indicators and adaptability evaluation methods of agricultural drought. Transactions of the CSAE, 2015, 31(16): 186-195. doi:  10.11975/j.issn.1002-6819.2015.16.025
    [67]
    Zhao X H, Zhao R X. Applicability analysis of hydrological drought index in the upper reaches of Fenhe River. Adv Water Sci, 2016, 27(4): 512-519. https://www.cnki.com.cn/Article/CJFDTOTAL-SKXJ201604005.htm
    [68]
    Ren F M, Shi J E. Characteristics of annual rainfall in arid and semi-arid region of China. J Appl Meteor Sci, 1995, 6(4): 501-504. http://qikan.camscma.cn/article/id/19950477
    [69]
    Li M S, Li S, Li Y H. Studies on drought in the past 50 years in China. Chinese J Agrometeor, 2003, 24(1): 7-10. doi:  10.3969/j.issn.1000-6362.2003.01.003
    [70]
    Ma Z G, Fu C B. Basic facts of drought in northern China from 1951 to 2004. Chinese Sci Bull, 2006, 51(20): 2429-2439. doi:  10.3321/j.issn:0023-074X.2006.20.016
    [71]
    Wang C Y, Lou X R, Wang J L. Influence of agricultural meteorological disasters on output of crop in China. J Nat Disasters, 2007, 16(5): 37-43. doi:  10.3969/j.issn.1004-4574.2007.05.006
    [72]
    Gong L J, Li X F, Tian B X, et al. Spatio-temporal characteristics of drought in different growth stages of soybean in Heilongjiang. J Appl Meteor Sci, 2020, 31(1): 95-104. doi:  10.11898/1001-7313.20200109
    [73]
    Ren Y F, Zhao Y X, Wang C Y. Winter wheat drought disaster insurance risk assessment and regionalization in Henan Province. J Appl Meteor Sci, 2011, 22(5): 537-548. doi:  10.3969/j.issn.1001-7313.2011.05.003
    [74]
    Chen S L, Liu Y B, Wen Z M. Satellite retrieval of soil moisture: An overview. Adv Earth Sci, 2012, 27(11): 1192-1203. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201211001.htm
    [75]
    Wei G, Yi X, Hou M T, et al. Standardized precipitation evapotranspiration index shows drought trend in China. Chinese Journal of Eco-Agriculture, 2012, 20(5): 643-649. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTN201205021.htm
    [76]
    Chen L L, Liu P X, Yao Y L, et al. Variation characteristics of annual and spring standardized precipitation index and Z index in different climate regions of Gansu Province, Northwest China in 1960-2010. Chinese Journal of Ecology, 2013, 32(3): 704-711. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201303029.htm
    [77]
    Song Y L, Cai W Y, Liu Y J, et al. Drought changes in Southwest China and its impacts on rice yield of Guizhou Province. J Appl Meteor Sci, 2014, 25(5): 550-558. http://qikan.camscma.cn/article/id/20140504
    [78]
    Zhou D, Zhang B, Ren P G, et al. Analysis of drought characteristics in Shaanxi Province in recent 50 years based on standardized precipitation evapotranspiration index. J Nat Resources, 2014, 29(4): 677-688. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZX201404013.htm
    [79]
    Zhang Y J, Wang C Y, Zhang J Q. Analysis of the spatial and temporal characteristics of drought in the North China Plain based on standardized precipitation evapotranspiration index. Acta Ecologica Sinica, 2015, 35(21): 7097-7107. https://www.cnki.com.cn/Article/CJFDTOTAL-STXB201521020.htm
    [80]
    Li Y G, He J N, Li X. Hydrological and meteorological droughts in the Red River Basin of Yunnan Province based on SPEI and SDI indices. Progress in Geography, 2016, 35(6): 758-767. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201606009.htm
    [81]
    Wang Z L, Li J, Huang Z Q, et al. Spatiotemporal variations of meteorological drought in China based on scPDSI. Transactions of the CSAE, 2016, 32(2): 161-168. https://www.cnki.com.cn/Article/CJFDTOTAL-NYGU201602024.htm
    [82]
    Shen G Q, Zheng H F, Lei Z F. Spatiotemporal analysis of meteorological drought (1961-2014) in Northeast China using a standardized precipitation evapotranspiration index. Acta Ecologica Sinica, 2017, 37(17): 5882-5893. https://www.cnki.com.cn/Article/CJFDTOTAL-STXB201717032.htm
    [83]
    Jia Y Q, Zhang B. Spatial-temporal variability characteristics of extreme drought events based on daily SPEI in the Southwest China in recent 55 years. Scientia Geographica Sinica, 2018, 38(3): 474-483. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201803018.htm
    [84]
    Ai Q Y, Su X L, Zhang G X, et al. Constructing standardized groundwater index to analyze temporal-spatial evolution of groundwater in middle reaches of Heihe River. Transactions of the CSAE, 2019, 35(10): 69-74. doi:  10.11975/j.issn.1002-6819.2019.10.009
    [85]
    Qu X B, Yang Q Y, Wang H Q, et al. Analysis of meteorological drought intensity characteristics in Inner Mongolia based on MCI. Meteorological and Environmental Sciences, 2019, 42(4): 47-54. https://www.cnki.com.cn/Article/CJFDTOTAL-HNQX201904008.htm
    [86]
    Cheng X, Sun S, Zhang F L, et al. Spatial and temporal distributions of apple drought in northern China. J Appl Meteor Sci, 2020, 31(1): 63-73. doi:  10.11898/1001-7313.20200106
    [87]
    Cheng X, Sun S, Zhang Z T, et al. Spatial-temporal distribution of apples with different drought levels in northern China. J Appl Meteor Sci, 2020, 31(4): 405-416. doi:  10.11898/1001-7313.20200403
    [88]
    Yu C L, Tang Q, Guo C L, et al. Analysis of temporal and spatial characteristics of meteorological drought in Northeast China based on scPDSI. Meteorological and Environmental Sciences, 2020, 43(3): 24-32. https://www.cnki.com.cn/Article/CJFDTOTAL-HNQX202003004.htm
    [89]
    Su Z C, Ma M M, Xing Z K, et al. Characterizing the hydrological drought evolutions under human interventions: A case study in the Daling River Basin in Liaoning Province. Journal of China Institute of Water Resources and Hydropower Research, 2021, 19(1): 148-155. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGSX202101018.htm
    [90]
    Mi Q C, Gao X N, Li Y, et al. Application of deep learning method to drought prediction. J Appl Meteor Sci, 2022, 33(1): 104-114. doi:  10.11898/1001-7313.20220109
    [91]
    Zhao Y X, Wang F T, Qiu G Q. A study of assessing and forecasting models of drought in agriculture. J Appl Meteor Sci, 2001, 12(2): 234-241. doi:  10.3969/j.issn.1001-7313.2001.02.013
    [92]
    Wang P X, Gong J Y, Li X W, et al. Drought monitoring model based on vegetation index and land surface temperature. Adv Earth Sci, 2003, 18(4): 527-533. doi:  10.3321/j.issn:1001-8166.2003.04.008
    [93]
    Yang X G, Bouman B A, Zhang Q P, et al. Crop coefficient of aerobic rice in North China. Transactions of the CSAE, 2006, 22(2): 37-41. doi:  10.3321/j.issn:1002-6819.2006.02.009
    [94]
    Wang C L, Guo J, Xue L F, et al. An improved comprehensive meteorological drought index CInew and its applicability analysis. Chinese J Agrometeor, 2011, 32(4): 621-626. doi:  10.3969/j.issn.1000-6362.2011.04.023
    [95]
    Zhao H Y, Gao G, Zhang P Q, et al. The modification of meteorological drought composite index and its application in Southwest China. J Appl Meteor Sci, 2011, 22(6): 698-705. doi:  10.3969/j.issn.1001-7313.2011.06.007
    [96]
    Zhang R H, Du J P, Sun R. Review of estimation and validation of regional evapotranspiration based on remote sensing. Adv Earth Sci, 2012, 27(12): 1295-1307. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201212002.htm
    [97]
    Zhao Y L, Ren F M, Li D L, et al. Study on improvement of drought index based on effective precipitation. Meteor Mon, 2013, 39(5): 600-607. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201305010.htm
    [98]
    Bao Y S, Yan J, Min J Z, et al. Agricultural drought monitoring in north Jiangsu by using temperature vegetation dryness index. Transactions of the CSAE, 2014, 30(7): 163-172. doi:  10.3969/j.issn.1002-6819.2014.07.019
    [99]
    Lv J, Qu Y P, Shu Z C. Drought Risk Assessment Method and Empirical Research. Wuhan: Changjiang Press, 2018.
    [100]
    Guo M, Su X L. Construction of meteorological and agricultural comprehensive drought index and analysis on spatial and temporal characteristics in Heihe River Basin. Journal of North China University of Water Resources and Electric Power (Nat Sci Ed), 2019, 40(3): 7-15. https://www.cnki.com.cn/Article/CJFDTOTAL-HBSL201903003.htm
    [101]
    Wang P J, Ma Y P, Huo Z G, et al. Construction of the model for soil moisture effects on leaf photosynthesis rate of winter wheat. J Appl Meteor Sci, 2020, 31(3): 267-279. doi:  10.11898/1001-7313.20200302
    [102]
    Zhang X, Duan Y W, Duan J P, et al. A daily drought index based on evapotranspiration and its application in regional drought analyses. Sci China(Earth Sci), 2022, 52(3): 540-558. https://www.cnki.com.cn/Article/CJFDTOTAL-JDXK202203012.htm
    [103]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. GB/T 20481-2017 Meteorological Drought Grade. Beijing: Standards Press of China, 2017.
    [104]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. GB/T 34306-2017 Drought Disaster Grade. Beijing: Standards Press of China, 2017.
    [105]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. GB/T 32135-2015 Region Drought Disaster Grade. Beijing: Standards Press of China, 2015.
    [106]
    Ministry of water resources of the People's Republic of China. SL663-2014 Drought Disaster Grade. Beijing: China Water & Power Press, 2014.
    [107]
    China Meteorological Administration. QX/T 81-2007 Drought Disaster Grade of Wheat. Beijing: China Meteorological Press, 2007.
    [108]
    China Meteorological Administration. QX/T 142-2011 Drought Index of Grassland in North China. Beijing: China Meteorological Press, 2011.
    [109]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. QB/T 29366-2012 Drought Grade of Gassland in North of China. Beijing: Standards Press of China, 2012.
    [110]
    China Meteorological Administration. QX/T 183-2013 Technical Specification for Drought Assessment of Northern Grassland. Beijing: China Meteorological Press, 2013.
    [111]
    China Meteorological Administration. QX/T 259-2015 Drought Grade of Maize in North of China. Beijing: China Meteorological Press, 2015.
    [112]
    China Meteorological Administration. QX/T 260-2015 Drought Grade of Summer Maize in North of China. Beijing: China Meteorological Press, 2015.
    [113]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. GB/T 32136-2015 Agricultural Drought Grade. Beijing: Standards Press of China, 2016.
    [114]
    China Meteorological Administration. QX/T 383-2017 Risk Assessment Method of Drought Disaster for Maize. Beijing: China Meteorological Press, 2017.
    [115]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. GB/T 34809-2017 Drought Grade of Sugarcane. Beijing: Standards Press of China, 2017.
    [116]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Aministration. GB/T 34817-2017 Drought Warming Grade of Agriculture. Beijing: Standards Press of China, 2017.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中
  • -->

Catalog

    Get Citation
    PDF
    XML
    Article views (1787) PDF downloads(402) Cited by()
    • Received : 2022-07-04
    • Accepted : 2022-07-29
    • Published : 2022-09-15
    Journal Online
    Contact

    © 2020 Journal of Applied Meteorological Science   京ICP备15006967号-1

    Supported by Beijing Renhe Information Technology Co. Ltd

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return