贵州农业干旱指数时空演化协同可视分析

doi:10.19788/j.issn.2096-6369.000042

Abstract

Abstract:

Nowadays, a set of reliable and efficient monitoring and assessment scheme for spatiotemporal changes is very necessary for the high demand of agricultural drought monitoring. In this study, based on the soil moisture grid data from 1990 to 2022 and the classical agricultural drought indexes SMCI (Soil Moisture Condition Index) and SSI (Standardized Soil Moisture Index), we designed a set of multi-view collaborative and interactive visualization and analysis scheme, which is able to give a new perspective, more comprehensive and more easily adapted to sense on multi-dimensional drought data analysis. The results show that: (1) by analyzing the spatiotemporal changes of drought in Guizhou at different time scales such as year, season and month, we could get a good grasp of the spatiotemporal evolution of drought in Guizhou during these 32 years, and this proves the validity of this study in analyzing the characterization of the spatiotemporal evolution of drought; (2) by comparing the applicable effects of SMCI and SSI in different scenarios, we evaluated the advantages of different monitoring methods in drought analysis, which proves that this study can be used to compare drought indexes. In current agricultural drought monitoring, collaborative visualization analysis can effectively enhance monitoring effect.

Key words: spatiotemporal evolution, agricultural droughts, collaborative visualization, SMCI, SSI

HE LingJun, LONG Hai, LI LiJie, ZHAO ZeYing. Analysis of Spatiotemporal Evolution of Guizhou Agricultural Drought Index Based on Collaborative Visualization[J].Journal of Agricultural Big Data, 2024, 6(4): 532-545.

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References 36

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干旱类型	SMCI指数范围	SSI指数范围
无旱	(0.4, 1]	(-0.5, ∞]
轻旱	(0.3, 0.4]	(-1,-0.5]
中旱	(0.2, 0.3]	(-1.5,-1]
重旱	(0.1, 0.2]	(-2,-1.5]
特旱	(0, 0.1]	(-∞,-2]

季节	主要集中区域
冬	西南部：以威宁、望谟为主要干旱点，影响周边区域
春	西南部：以威宁、兴义为核心，辐射六盘水大部、毕节和黔西南布依族苗族自治州西部
夏	北部：遵义市大部、毕节市和贵阳市东北部、铜仁市西部
秋	东南部：以乌江、清水河、涟江等水系为界的整个东南地区

年份	2006	2007	2008	2009	2010	2011	2012	2013	2014
因旱受灾面积	716.9	179.4	30.4	477.9	1271.34	1822.5	132.53	1117.77	9.5
成灾面积	353.3	86	17.7	318.1	1216.13	1181	40.93	693.26	2.7
绝收面积	94.4	7	0.5	45.3	543.92	487.2	1.67	271.45
SSI Q²_min	-2.7	-2.16	-1.02	-2.91	-1.95	-4.03	-0.58	-2.71	-0.73
SMCI Q²_min	0.4	0.48	0.64	0.35	0.53	0.25	0.72	0.44	0.69
年份	2015	2016	2017	2018	2019	2020	2021	2022
因旱受灾面积		164.16	56.5	120.41		63.69	3.49	265.72
成灾面积		79.91	34.4	76.06		7.59	2.62	—
绝收面积		25.31	9.1	22.03		2.85	0.14	26.75
SSI Q²_min	-0.46	-1.6	-0.46	-0.08	-1.2	-0.67	-0.57	-3.54
SMCI Q²_min	0.74	0.56	0.73	0.67	0.61	0.69	0.72	0.25

Analysis of Spatiotemporal Evolution of Guizhou Agricultural Drought Index Based on Collaborative Visualization

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