疏勒河灌区2000-2014年植被生态适宜需水动态研究

doi:10.7522/j.isnn.1000-0240.2016.0026

摘要/Abstract

摘要： 以疏勒河灌区为研究对象,利用2000-2014年MOD13Q1遥感数据,采用植被生长旺季的增强型植被指数(EVI)建立植被生态分区标准,获得人工种植植被区、中覆盖率天然植被区、低覆盖率天然植被区、荒漠稀疏植被区和荒漠区的面积数据,采用阿维里扬诺夫潜水蒸发模型估算了各类生态分区的植被生态需水量,分析了各类植被生态适宜需水量的时空变化规律.结果表明,研究区总植被生态需水量年均增幅达2.64%,其中,人工种植地植被生态需水量年均增幅达3.65%,呈现稳定增长的趋势;天然植被生态需水量年均减少幅度为1.58%,呈现逐步减少的趋势.最后,根据疏勒河干流昌马堡水文站同时期的年均径流量数据,分析了影响植被生态适宜需水动态变化的因素,揭示了植被生态适宜需水量对径流量变化和灌区工程建设的响应关系,为灌区水资源配置提供了科学依据.

关键词: 疏勒河灌区, 遥感, 植被指数, 生态需水, 动态变化

Abstract: Shule River irrigation district located in arid region of northwest China, was selected as the study area in this study. Firstly, time series vegetation database was established based on MOD13Q1 images during 2000 to 2014. The dynamic change of vegetation's area was evaluated by GIS. Secondly, the vegetation ecological water demands were estimated by Aviriyanover formula. The results showed that the average annual growth rate of total vegetation ecological water demand increased by 2.64%, and the average annual growth rate of artificial vegetation ecological water demand increased by 3.65%, which showed a steady growth trend. While the average annual reduction of natural vegetation ecological water demand was 1.58%, showing a gradual decrease. Finally, according to the average annual runoff data of Shule River, the dynamic responses to the changes of runoff and irrigation engineering construction were analyzed, so as to provide the scientific proposal for the irrigation water resources allocation.

Key words: Shule River irrigation district, remote sensing, vegetation index, ecological water requirement, dynamic changes

中图分类号:

S271

叶红梅, 陈少辉, 盛丰. 疏勒河灌区2000-2014年植被生态适宜需水动态研究[J]. 冰川冻土, 2016, 38(1): 231-240.

YE Hongmei, CHEN Shaohui, SHENG Feng. Dynamic estimation for vegetation ecological water demand in Shule River irrigation district during 2000-2014[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2016, 38(1): 231-240.

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