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Precision Evaluation of Drought Index based on CCI Soil Moisture Products and Its Effect on Grain Yield in Northeast China |
Lei Li1,2(),Xingming Zheng1,3(),Kai Zhao1,3,Xiaofeng Li1,3,Guangrui Wang1,2 |
1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Changchun Jingyuetan Remote Sensing Test Site of Chinese Academy of Sciences, Changchun 130102, China |
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Abstract Soil moisture is the basic factor for monitoring crop drought. Based on the microwave remote sensing soil moisture products of ESA from 1978 to 2014, the statistical database of China's economic and social development and meteorological data, combined with the Soil Moisture Deficit Index (SWDI), the relationship between the degree of drought in Northeast China and corn yield was analyzed. The results show that: (1) the drought level of the three provinces is increasing from northeast to southwest; (2) the SWDI drought index calculated based on CCI (Climate Change Initiative) soil moisture products has a good correlation with rainfall and temperature, which can be used to evaluate the severity of drought; (3) the correlation between SWDI and maize yield is the best in the key water demand period (July), and R2 of Heilongjiang, Jilin and Liaoning provinces are 0.43, 0.78 and 0.38 respectively, which is very suitable for quantifying the effect of drought on maize yield. This conclusion has important guiding significance for the study of the influence of soil moisture content on crop yield and the relevant agricultural decision-making.
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Received: 20 December 2019
Published: 01 April 2020
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Corresponding Authors:
Xingming Zheng
E-mail: lilei@iga.ac.cn;zhengxingming@iga.ac.cn
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1 |
Wilhite D A , Glantz M H .Understanding the Drought Phenomenon: the Role of Definitions [J].Water International,1985,10(1):111-120.
|
2 |
Narasimhan B , Srinivasan R .Development and Evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for Agricultural Drought Monitoring [J].Agricultural and Forest Meteorology,2005,133(1):69-88.
|
3 |
Su Z , Yacob A , Wen J ,et al .Assessing Relative Soil Moisture with Remote Sensing Data: Theory, Experimental Validation, and Application to Drought Monitoring over the North China Plain[J].Physics and Chemistry of the Earth,2003,28(1-3):89-101.
|
4 |
Wu J , Zhou L , Liu M .Establishing and Assessing the Integrated Surface Drought Index (ISDI) for Agricultural Drought Monitoring in Mid-Eastern China[J].International Journal of Applied Earth Observation and Geoinformation,2013,23(1):397-410.
|
5 |
Champagne C , McNairn H , Berg A A .Monitoring Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing[J].Remote Sensing of Environment,2011,115(10):2434-2444.
|
6 |
Liu Zhiming , Zhang Bai , Yan Ming , al el .Some Research Advances and Trends on Soil Moisture and Drought Monitoring by Remote Sensing [J].Advance in Earth Sciences,2003,18(4):576-583.刘志明,张柏,晏明, 等 .土壤水分与干旱遥感研究的进展与趋势[J].地球科学进展,2003,18(4):576-583.
|
7 |
Zhang Chao .Study of the Evaluate and Zone Methods on Winter Wheat Drought Risk Based on GIS in Jing-Jin-Ji Region [D].Shijiazhuang:Hebei Normal University,2010.张超. 基于GIS干旱风险评估与区划方法研究[D].石家庄: 河北师范大学,2010.
|
8 |
Escorihuela M J , Quintana-Seguí P .Comparison of Remote Sensing and Simulated Soil Moisture Datasets in Mediterranean Landscapes [J].Remote Sensing of Environment,2016.180(1):99-114.
|
9 |
Al-Yaari A , Wigneron J P , Kerr Y .Testing Regression Equations to Derive Long-term Global Soil Moisture Datasets from Passive Microwave Observations [J].Remote Sensing of Environment,2016,180(1):453-464.
|
10 |
Gao Xiaorong , Wang Chunyi , Zhang Jiquan ,et al .Crop Water Requirement and Temporal-spatial Variation of Drought and Flood Disaster During Growth Stages for Maize in Northeast During Past 50 Years [J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(12):101-109.高晓容,王春乙,张继权, 等 .近50年东北玉米生育阶段需水量及旱涝时空变化[J].农业工程学报,2012,28(12):101-109.
|
11 |
Zhao Xianli , Zhang Yushu , Ji Ruipeng ,et al .Characteristics of Temporal and Spatial Distribution of Main Agricultural Disasters in Liaoning Provinces [J].Agricultural Research in the Arid Areas,2013,31(5):130-135, 256.赵先丽,张玉书,纪瑞鹏, 等 .辽宁主要农业灾害时空分布特征[J].干旱地区农业研究,2013,31(5):130-135, 256.
|
12 |
Li Lei .Research on Water Suitability of Maize Planting Range in Northeast China [D].Changchun:Jilin University,2018.李雷. 东北地区玉米种植范围的水分适宜性研究[D].长春: 吉林大学,2018.
|
13 |
Yang Xiaojing , Xu Zongxue , Zuo Depeng ,et al .Spatio-Temporal Evolution Characteristics of Drought - Waterlogging in Three Provinces of Northeast China in Past 55 Years[J].Journal of Natural Disasters,2016,25(4):9-11.杨晓静, 徐宗学, 左德鹏, 等, 东北三省近55a旱涝时空演变特征[J].自然灾害学报,2016,25(4):9-11.
|
14 |
Yang Ruozi .Spatial-temporal Characteristics and Comprehensive Risk Assessment of Main Agro-meteorological Hazards for Maize in Northeast China[D].Beijing:Chinese Academy of Meteorological Sciences,2015.杨若子. 东北玉米主要农业气象灾害的时空特征与风险综合评估[D].北京: 中国气象科学研究院,2015.
|
15 |
Fu Lin .Agricultural Climate Yields Assessment Research in Three Provinces of Northeast China[D].Beijing:Chinese Academy of Meteorological Sciences,2011.符琳. 东北三省农业气候年景评估研究[D].北京:中国气象科学研究院,2011.
|
16 |
Zheng Xingming , Zhao Kai , Li Xiaofeng ,et al .Moisture Derived from Microwave Remote Sensing in Northeast China[J].Scientia Geographica Sinica,2015,35(3):334-339.郑兴明,赵凯,李晓峰, 等 .利用微波遥感土壤水分产品监测东北地区春涝范围和程度[J].地理科学,2015,35(3):334-339.
|
17 |
Liu Zhijuan , Yang Xiaoguang , Wang Wenfeng ,et al .Characteristics of Agricultural Climate Resources in Three Provinces of Northeast China Under Global Climate Change[J].Chinese Journal of Applied Ecology,2009,20(9):2199-2206.刘志娟,杨晓光,王文峰, 等 .气候变化背景下我国东北三省农业气候资源变化特征[J].应用生态学报,2009,20(9):2199-2206.
|
18 |
Liu Y Y , Dorigo W A , Parinussa R M .Trend-preserving Blending of Passive and Active Microwave Soil Moisture Retrievals[J].Remote Sensing of Environment,2012,123(1):280-297.
|
19 |
Liu Y Y , Parinussa R M , Dorigo W A .Developing an Improved Soil Moisture Dataset by Blending Passive and Active Microwave Satellite based Retrievals[J].Hydrology and Earth System Sciences,2011,15(1):425-436.
|
20 |
Wagner W , Dorigo W , de Jeu R .Fusion of Active and Passive Microwave Observations to Create an Essential Climate Variable Data Record on Soil Moisture[J].ISPRS Annals of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2012,1(7):315-321.
|
21 |
Shi X Z , Yu D S , Warner E D ,et al .Soil Database of 1∶1 000 000 Digital Soil Survey and Reference System of the Chinese Genetic Soil Classification System[J].Soil Survey Horizons,2004,45(1):129-136.
|
22 |
Shi X Z , Yu D S , Warner E D ,et al .Cross Reference System for Translating between Genetic Soil Classification of China and Soil Taxonomy[J].Soil Science Society of America Journal,2006,70(1):78-83.
|
23 |
Martínez-Fernández J , González-Zamora A , Sánchez N .Satellite Soil Moisture for Agricultural Drought Monitoring:Assessment of the SMOS Derived Soil Water Deficit Index[J].Remote Sensing of Environment,2016,177(1):277-286.
|
24 |
Yan Nana .The Method of Drought Monitoring by Remote Sensing[D].Beijing:Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,2005.闫娜娜. 基于遥感指数的旱情监测方法研究[D].北京: 中国科学院研究生院(遥感应用研究所),2005.
|
25 |
Allen R G , Pereira L S , Raes D ,et al. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements[M].FAO,Rome,1998:300.(Irrigation and Drainage Paper 56).
|
26 |
Savage M J , Ritchie J T , Bland W L .Lower Limit of Soil Water Availability[J].Agronomy Journal,1996,88(1):644–651.
|
27 |
Duan X W , Xie Y , Liu G .Field Capacity in Black Soil Region, Northeast China[J].China Geography Science,2010,20(5):406-413.
|
28 |
Saxton K E , Rawls W J .Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions[J].Soil Science Society of America Journal,2006,70(1):1569-1578.
|
29 |
Carrao H , Russo S , Sepulcre-Canto G ,et al .An Empirical Standardized Soil Moisture Index for Agricultural Drought Assessment from Remotely Sensed Data[J].International Journal of Applied Earth Observation and Geoinformation,2016,48(1):74-84.
|
30 |
McKee T B , Doeskin N J , Kleist J .The Relationship of Drought Frequency and Duration to Time Scales[J].American Meteorological Society,1993,1(1):179–184.
|
31 |
Hulme M , Osborn T J , Johns T C .Precipitation Sensitivity to Global Warming: Comparison of Observations with HadCM2 Simulations[J].Geophysical Research Letters,1998,25(17):3379-3382.
|
32 |
Lobell D B , Burke M B .Why are Agricultural Impacts of Climate Change so Uncertain? The Importance of Temperature Relative to Precipitation[J].Environmental Research Letters,2008,3(3):1-9.
|
33 |
Portoghese I , Vurro M , Lopez A .Assessing the Impacts of Climate Change on Water Resources: Experiences from the Mediterranean Region [M].Germany,Springer International Publishing,2015.
|
34 |
Meng Fanchao .Observation and Simulation Study on Maize Growth and Yield Under Climate Change in Northeast China[D].Beijing:Chinese Academy of Meteorological Sciences,2015.孟凡超. 气候变化对东北玉米生长和产量影响的观测与模拟[D].北京: 中国气象科学研究院,2015.
|
35 |
Cheng Yeqing .Spatial Pattern Change and Its Driving Factors of Grain Per Unit Area Yield in Northeast China[J].Journal of Natural Resources,2009,24(9):1541-1549.程叶青.东北地区粮食单产空间格局变化及其动因分析[J].自然资源学报,2009,24(9):1541-1549.
|
36 |
Niyogi D , Liu X , Andresen J ,et al .Crop Models Capture the Impacts of Climate Variability on Corn Yield[J].Geophysical Research Letters,2015,42(1):3356-3363.
|
37 |
Yang Xiaochen , Ming Bo , Tao Hongbin ,et al .Spatial Distribution Characteristics and Impact on Spring Maize Yield of Drought in Northeast China[J].Chinese Journal of Eco-Agriculture,2015,23(6):758-767.杨晓晨,明博,陶洪斌, 等 .中国东北春玉米区干旱时空分布特征及其对产量的影响[J].中国生态农业学报,2015,23(6):758-767.
|
38 |
Zhang Shujie , Zhang Yushu , Ji Ruipeng ,et al .Analysis of Spatio-Temporal Characteristics of Drought for Maize in Northeast China[J].Agricultural Research in the Arid Areas,2011,29(1):231-236.张淑杰,张玉书,纪瑞鹏, 等 .东北地区玉米干旱时空特征分析[J].干旱地区农业研究,2011,29(1):231-236.
|
39 |
Kurum M , Lang R H , O’Neill P E ,et al .L-band Radar Estimation of Forest Attenuation for Active/Passive Soil Moisture Inversion[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(9):3026-3040.
|
40 |
Zeng J Y , Li Z , Chen Q ,et al .Evaluation of Remotely Sensed and Reanalysis Soil Moisture Products over the Tibetan Plateau Using In-situ Observations[J].Remote Sensing of Environment,2015,163(15):91-110.
|
41 |
Dorigo W A , Gruber A , De Jeu R A M ,et al .Evaluation of the ESA CCI Soil Moisture Product Using Ground-based Observations [J].Remote Sensing of Environment,2015,162(1):380-395.
|
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. A New Direct Solution of Range-Doppler model for SAR Image Location[J]. , , (): 0
. |
[2] |
. Monitoring Surface Deformation in Changzhou City Using COSMO-SkyMed Data[J]. , , (): 0
. |
[3] |
Yu-Dan WANG Zhuo-tong Nan Hao Chen. Correction of CMORPH Daily Precipitation Data over the Qinghai-Tibetan Plateau with k-Nearest Neighbor Model[J]. , , (): 0
. |
[4] |
Rui YANG Su Yang. U-Net neural networks and its application in high resolution satellite image classification[J]. Remote Sensing Technology and Application, 0, (): 0
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[5] |
. An improved Hyperspectral Image Clasification Algorithm Based On Multinomial Logistic Regression[J]. Remote Sensing Technology and Application, 0, (): 0
. |
[6] |
yingchun Fu. A comparative study of urban heterogeneity vegetation coverage estimation model[J]. Remote Sensing Technology and Application, 0, (): 0
. |
[7] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 1
-7
. |
[8] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 8
-10
. |
[9] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 65
-66
. |
[10] |
张仁华. [J]. Remote Sensing Technology and Application, 1987, 2(1): 25
-30
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