Vulnerability assessment of water resources in a karst mountainous area based on GIS/RS technology: a case study of Guiyang, Southwest China | Zendy

Wei Li | Zendy; Zulun Zhao | Zendy; Sisi Lv | Zendy; Weiquan Zhao | Zendy; SU Wei-ci | Zendy

Open Access

Vulnerability assessment of water resources in a karst mountainous area based on GIS/RS technology: a case study of Guiyang, Southwest China

Author(s) -

Wei Li,

Zulun Zhao,

Sisi Lv,

Weiquan Zhao,

SU Wei-ci

Publication year - 2022

Publication title -

water science and technology water supply

Language(s) - English

Resource type - Journals

eISSN - 1607-0798

pISSN - 1606-9749

DOI - 10.2166/ws.2022.138

Subject(s) - vulnerability (computing) , resource (disambiguation) , karst , vulnerability assessment , geography , china , water resources , geographic information system , water resource management , vulnerability index , sustainable development , environmental resource management , environmental science , remote sensing , climate change , ecology , psychology , computer network , computer security , archaeology , psychological resilience , computer science , psychotherapist , biology

Water resource vulnerability in ecologically vulnerable karst areas is a key issue for regional sustainable development and the sustainable use of water resources. In this study, geographical information system (GIS) and remote sensing (RS) technology were employed to explore the vulnerability characteristics and spatial distribution of water resources in Guiyang City. The water resource vulnerability indicator in Guiyang ranged from 0.10 to 0.59, with an average value of 0.26. Yanglongsi Town, in Xifeng County, in the northern and main central urban area exhibited the highest water resource vulnerability, whereas Huaxi District in the south, and regions around Hongfeng Lake and Baihua Lake, in Qingzhen City, exhibited the lowest water resource vulnerability. Water resource vulnerability was predominantly mild, accounting for 35.85% of the total land area, followed by moderate (28.99%), with some non-vulnerable areas (13.60%) and very few extremely vulnerable areas (3.20%). Compared with traditional methods, the proposed index selection and assessment methods, based on GIS/RS, are both scientific and intuitive. In addition, the results are presented in detail, accurately reflecting the actual situation of water resource system vulnerability.

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