基于MOD16数据的焉耆盆地蒸散量变化研究

doi:10.13866/j.azr.2021.02.06

干旱区研究 ›› 2021, Vol. 38 ›› Issue (2): 351-358.doi: 10.13866/j.azr.2021.02.06

基于MOD16数据的焉耆盆地蒸散量变化研究

李晴^1,²(),杨鹏年^1,²(),彭亮^1,²,周龙^1,²,玉素甫江·如素力³,王环波^1,²,章文亭^1,²

1.新疆农业大学水利与土木工程学院,新疆乌鲁木齐 830052
2.新疆水利工程安全与水灾害防治重点实验室,新疆乌鲁木齐 830052
3.新疆师范大学地理科学与旅游学院,新疆乌鲁木齐 830052

收稿日期:2020-08-11 修回日期:2020-11-12 出版日期:2021-03-15 发布日期:2021-04-25
通讯作者: 杨鹏年
作者简介:李晴（1996-）,女,硕士,研究方向为水利工程. E-mail:lqhnkf0360@126.com
基金资助:
新疆维吾尔自治区自然科学基金项目(2020D01A54);国家自然科学基金NSFC-新疆联合基金资助(U1703341)

Study of the variation trend of evapotranspiration in the Yanqi Basin based on MOD16 data

LI Qing^1,²(),YANG Pengnian^1,²(),PENG Liang^1,²,ZHOU Long^1,²,Yusufujiang Rusuli³,WANG Huanbo^1,²,ZHANG Wenting^1,²

1. College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
2. Xinjiang Key Laboratory of Hydraulic Engineering Security and Water Disasters Prevention, Urumqi 830052, Xinjiang, China
3. Institute of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830052, Xinjiang, China

Received:2020-08-11 Revised:2020-11-12 Online:2021-03-15 Published:2021-04-25
Contact: Pengnian YANG

摘要/Abstract

摘要：

蒸散量是水资源转化中非常关键的变量,特别是对当前变化环境下干旱区作物耗水量的时空变化与预测具有重要的作用。基于2001—2019年MOD16数据产品,通过遥感反演蒸散量数据,对焉耆盆地实际蒸散量（AET）和潜在蒸散量（PET）的时空变化进行分析,结果表明：（1） MOD16蒸散产品和小型蒸发皿实测数据较为一致（R²=0.94）,其精度可以用于分析和探究焉耆盆地蒸散量的时空分布特征。（2）多年平均AET与PET分别为128.7 mm和1381.5 mm,年际变化尺度上AET呈上升趋势,PET呈下降趋势。（3）多年平均AET与PET在空间分布上呈现出明显的差异特征且表现出相反的趋势,年际AET与PET线性倾斜率处于基本不变趋势。（4） AET与PET的变化趋势与焉耆盆地膜下滴灌技术的普及与气象要素（蒸发量、相对湿度、平均气温）的改变具有内在的联系。

关键词: MOD16数据, 遥感蒸散量, 耗水变化趋势, 焉耆盆地

Abstract:

Evapotranspiration is a key variable in water resource transformation, and it plays an important role in spatiotemporal variation and prediction of crop water consumption in arid regions under the current environmental changes. Based on MOD16 data products from 2001 to 2019, this paper analyzes the spatial and temporal changes of actual evapotranspiration (AET) and potential evapotranspiration (PET) in the Yanqi Basin in Xinjian Province, China, through remote sensing inversion of evapotranspiration data. The findings reveal that: (1) The measured data of MOD16 evapotranspiration products and small evaporating dishes were relatively consistent (R²=0.94), and their accuracy can be used to study and analyze the spatial and temporal distribution characteristics of evapotranspiration in Yanqi Basin. (2) The annual mean AET and PET were 128.7 mm and 1381.5 mm, respectively. On the scale of interannual change, AET exhibited an upward trend, whereas PET exhibited a downward trend. (3) The spatial distribution of the perennial averages of AET and PET exhibited obvious differences and opposite trends, and the linear inclination rate of annual AET and PET was basically unchanged. (4) The trend of variation of AET and PET is intrinsically related to the popularization of drip irrigation technology under plastic film in Yanqi Basin and the change of meteorological factors (evaporation, relative humidity, average temperature).

Key words: MOD16 data, remote sensing of evapotranspiration, trends in water consumption, Yanqi Basin

李晴,杨鹏年,彭亮,周龙,玉素甫江·如素力,王环波,章文亭. 基于MOD16数据的焉耆盆地蒸散量变化研究[J]. 干旱区研究, 2021, 38(2): 351-358.

LI Qing,YANG Pengnian,PENG Liang,ZHOU Long,Yusufujiang Rusuli,WANG Huanbo,ZHANG Wenting. Study of the variation trend of evapotranspiration in the Yanqi Basin based on MOD16 data[J]. Arid Zone Research, 2021, 38(2): 351-358.

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蒸散类型	趋势类型	K取值范围	像元数	面积比例/%
AET	严重减少	-16<K<-3	1485	3.1
	轻微减少	-3<K<2	10481	22.2
	基本不变	2<K<5	17679	37.5
	轻微增加	5<K<8	14060	29.8
	显著增加	8<K<32	3481	7.4
	合计		47186	100.0
PET	严重减少	-42<K<-10	5850	12.4
	轻微减少	-10<K<-5	16765	35.5
	基本不变	-5<K<0	16716	35.4
	轻微增加	0<K<9	6718	14.3
	显著增加	9<K<44	1137	2.4
	合计		47186	100.0

蒸散类型	波动程度	Cv取值范围	像元数	面积比例/%
AET	轻微波动	0.05<Cv<0.2	26278	55.7
	中度波动	0.2<Cv<0.31	15945	33.8
	显著波动	0.31<Cv<0.98	4963	10.5
	合计		47186	100.0
PET	轻微波动	0.02<Cv<0.07	29685	62.9
	中度波动	0.07<Cv<0.15	16632	35.3
	显著波动	0.15<Cv<0.5	869	1.8
	合计		47186	100.0

基于MOD16数据的焉耆盆地蒸散量变化研究

Study of the variation trend of evapotranspiration in the Yanqi Basin based on MOD16 data

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