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Zhang L.,Zhejiang University | Wang X.,Hangzhou Normal University | Li X.,Heilongjiang Provincial Institute of Meteorological science
Journal of Natural Disasters | Year: 2014

Risk assessment and zoning of agro-meteorological disaster is of great significance to the disaster prevention and mitigation. In this paper, the hazard of climate factors, rice vulnerability and yield losses in chilling damage risk in Northeast China were analyzed employing data including daily mean air temperature, development stages, yield and planting area of rice. After determining the integrated weight for each assessment indicator using the combination of the entropy method and analytic hierarchy process (AHP), a comprehensive risk assessment index of rice chilling damage and its zoning were established by weighted comprehensive analysis (WCA) method. The results of assessment show that, the integrated assessment index of chilling damage risk significantly correlated with the average reduction rate of rice yield in typical chilling damage years at 0. 01 level; chilling damage integrated risk level zoning and the distribution of occurrence frequency of the historical chilling damage reveal a strong spatial consistency. The method presented was proved to be scientific and reasonable in supporting the prevention and mitigation of chilling damage in northeast China. Source


Zhang L.,Zhejiang University | Zhang L.,Wuhan Regional Climate Center | Wang X.,Hangzhou Normal University | Jiang L.,Heilongjiang Provincial Institute of Meteorological science | Huang J.,Zhejiang University
Journal of Remote Sensing | Year: 2015

Rice chilling damage remains one of the major agricultural meteorological disasters in northeast China. Remote sensing technology can easily monitor the disaster on a relatively large scale compared with traditional methods; this is the development trend for the agro-meteorological service system. Although several studies have focused on freeze injury monitoring using remotely sensed data, few applications exist for chilling damage. In this study, Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and reflectance data were used to produce mean air temperature time series by employing multiple regression models and to identify the planting areas and key development stages of single rice. A novel index based on relative accumulated growing degree day anomaly (rAGDDa) was accordingly proposed to dynamically monitor the distribution and degree of rice delayed-type chilling damage in northeast China from 2000 to 2012. Results are as below. (1) High correlation is obtained over the 0.01 significant level of accumulated growing degree day derived from MODIS data (MODIS_AGDD) and meteorological data at each 8-day period, with a stable multi-year average difference of approximately 55℃ · day throughout the entire rice growth season, except for early May and late September. (2) Compared with MODIS_AGDD, MODIS_rAGDDa yields a higher R value with a meteorological estimation over the 0.05 significant level in each year and can more effectively eliminate the threshold difference in the temperature index of chilling damage caused by the discrepancy in geographical and heat conditions. (3) Dynamic monitoring based on MODIS_rAGDDa is illustrated for three rice growth stages, such as early (from transplanting to heading), late (from heading to maturation), and whole (from transplanting to maturation) growth stages. Results achieved by MODIS_rAGDDa index during the whole growth stage of rice are broadly consistent in spatial distribution with those produced by meteorological standard index (summation of monthly mean air temperature from May to September anomalies) in several disaster years, especially in 2009 when a wide-range disaster occurred. Meanwhile, the spatial distribution of average reduction rate in rice yield indicates that MODIS_rAGDDa less than-5% can be taken as the indicator for monitoring rice delayed-type chilling damage in northeast China. MODIS_rAGDDa estimation for different rice growth stages can reasonably show the low-temperature accumulation and high-temperature compensation effects. It is considered a suitable index applied to the business service of dynamical monitoring of rice delayed-type chilling damage in northeast China. ©, 2015, Journal of Remote Sensing. All right reserved. Source


Jiang L.-X.,Heilongjiang Provincial Institute of Meteorological science | Li S.,Heilongjiang Provincial Institute of Meteorological science | Nan R.,Heilongjiang Provincial Meteorological Bureau | Yan P.,Heilongjiang Provincial Institute of Meteorological science | And 5 more authors.
Journal of Natural Disasters | Year: 2010

Based on Monitoring and Forecasting System of Chilling Damage to Maize in Northeast China, this paper analyzes annual heat types from 1976 to 2006 in Heilongjiang Province, calculates chilling damage occurrence probability of maize anthesis from 1984 to 2006 in Harbin, and on the other hand calculates occurrence of chilling damage with anomaly of mean temperature sum from May to September as chilling damage index. The results show that there are little differences between chilling damage years calculated using the two methods and the real chilling damage years in the past,which shows that the Monitoring and Forecasting System of Chilling Damage to Maize is useful to Heilongjiang Province, and provides scientific support to disaster mitigation decision - making. Source


Yin S.,Heilongjiang Provincial Institute of Meteorological science | Chen L.,Harbin Meteorological Bureau | Guo L.,Heilongjiang Provincial Institute of Meteorological science | Liu D.,Heilongjiang Provincial Institute of Meteorological science | And 2 more authors.
Journal of Natural Disasters | Year: 2014

This paper used MODIS satellite data to study the spatiotemporal variations of NDVI of crops in the main producing areas for the years 2008 and 2009, compared the observation data in growth period of crops from 28 meteorological stations in Heilongjiang Province, and analyzed the correlation between NDVI and the ten-day average temperature. Results indicate that, the ten-day average temperature is positively correlated with the NDVI of crops, NDVI could reflect the growth of crops well, the increase amplitude of total grain yield is significantly lower than that in previous years, and NDVI could be one of test indicators of cold damage of crops. Source


Yin S.-P.,Heilongjiang Provincial Institute of Meteorological science | Liu D.,Heilongjiang Provincial Institute of Meteorological science | Guo L.-F.,Heilongjiang Provincial Institute of Meteorological science | Zhu H.-X.,Heilongjiang Provincial Institute of Meteorological science
Journal of Natural Disasters | Year: 2011

Based on decision tree, MODIS data, agricultural activities data and crop growth stages data, the dry cropland in Heilongjiang Province was classified. The results show that vegetation information extracted from MODIS data could quickly give a quantitative description of the distribution and area of dry cropland because of its high temporal resolution. As the climatic difference of the province is large, identifying dry cropland may be based on the climatic zoning. The whole classification accuracy is up to 85.27% and the kappa coefficient is 0.8415. The research could provide some references to acquiring dry cropland data timely in Heilongjiang Province. Source

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