摘要
为开展县级渍害风险评估与区划,该文利用分布式土壤植被水文模型(distributed hydrology soil vegetation model,DHSVM),以天为步长模拟1970年至2014年每年夏收作物生长期(3月、4月)的土壤表层水分的空间分布,结合夏收作物渍害水分指标,分析监利县各区域受渍害情况,进一步得到监利县夏收作物受渍害情况的空间分布,其中无渍害区、轻度渍害区、中度渍害区和重度渍害区分别占监利县农田面积的2.7%、55.7%、26.5%和15.1%。该研究结果为监利县渍害精准治理、农作物产业结构调整与规划提供了基础数据。
Sub-surface waterlogging is one of the main agricultural meteorological disasters affecting summer crops in Jianli County, Hubei Province, China. For sub-surface waterlogging is caused by the long-term influence of high soil moisture on crops, it is not easily identified. Few studies were found on the risk evaluation and zonation of crops injured by sub-surface waterlogging. The researchers of this paper firstly adjusted the parameters of DHSVM（distributed hydrology soil vegetation model） by using soil moisture data collected from February 13 to May 20 in 2014 and verified it with the data collected from May 25 to September 23 in 2014. The result showed that the DHSVM could be used to simulate the soil moisture changes in Jianli County. Based on this model, the influencing parameters of waterlogging injury were input, which included meteorology, soil physical properties, groundwater levels, topography, drainage and irrigation conditions, and the farming system. Then the spatial distributions of soil surface moisture were simulated using the DHSVM with a step of 24 h during the growth seasons（March and April） of summer crops from 1970 to 2014. Also the waterlogging moisture indicators were also used to analyze the injury times of each grid in Jianli County（waterlogging injury occurs when the water level is less than 60 cm and surface soil moisture is higher than 95% of soil saturation for 5 days）, and the spatial resolution was 90 m. In this way, the spatial distribution of the sub-surface waterlogging injured ratio（SWIR） was calculated, as well as the indicator of the degree of sub-surface waterlogging injury. According to the different range of SWIR value, the research areas which were at the risk of the sub-surface waterlogging injury, were consequently classified into 4 grades： the severe damage zone（SWIR greater than or equal to 0.6）, the moderate damage zone（SWIR greater than or equal to 0.3 and less than 0.6）, the mild damage zone（SWIR greater than or equal to 0.1 and less than 0
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2015年第21期177-183,共7页
Transactions of the Chinese Society of Agricultural Engineering
基金
公益性行业(农业)科研专项项目(201203032)
关键词
模型
水分
作物
DHSVM模型
渍害
风险区划
models
moisture
crops
DHSVM model
sub-surface waterlogging
risk evaluation and zonation
