An extensive spatiotemporal water quality dataset covering four decades (1980-2022) in China

Lin, Jingyu1,2; Wang, Peng3; Wang, Jinzhu4; Zhou, Youping5; Zhou, Xudong6; Yang, Pan1,2; Zhang, Hao7; Cai, Yanpeng1,2; Yang, Zhifeng1,2

2024-02-27

10.5194/essd-16-1137-2024

EARTH SYSTEM SCIENCE DATA   影响因子和分区

1866-3508

1866-3516

Water quality data represent a critical resource for evaluation of the well-being of aquatic ecosystems and assurance of clean water sources for human populations. While the availability of water quality datasets is growing, the absence of a publicly accessible national water quality dataset for both inland and the ocean in China has been notable. To address this issue, we utilized R and Python programming languages to collect, tidy, reorganize, curate, and compile three publicly available datasets, thereby creating an extensive spatiotemporal repository of surface water quality data for China. Distinguished as the most expansive, clean, and easily accessible water quality dataset in China to date, this repository comprised over 330 000 observations encompassing daily (3588), weekly (217 751), and monthly (114 954) records of surface water quality covering the period from 1980 to 2022. It spanned 18 distinct indicators, meticulously gathered at 2384 monitoring sites, which were further categorized as daily (244 sites), weekly (149 sites), and monthly (1991 sites), ranging from inland locations to coastal and oceanic areas. This dataset will support studies relevant to the assessment, modeling, and projection of water quality, ocean biomass, and biodiversity in China, and therefore make substantial contributions to both national and global water resources management.

SCI

英语

其他

Geology ; Meteorology & Atmospheric Sciences

Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences

WOS:001190521500001

COPERNICUS GESELLSCHAFT MBH

Web of Science

1.Guangdong Univ Technol, Sch Ecol Environm & Resources, Guangdong Prov Key Lab Water Qual Improvement & Ec, Guangzhou 510006, Peoples R China
2.Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou 511458, Peoples R China
3.Xiamen Univ, Coastal & Ocean Management Inst, Coll Environm & Ecol, Xiamen 361102, Peoples R China
4.Deakin Univ, Sch Life & Environm Sci, Burwood, Vic 3125, Australia
5.Southern Univ Sci & Technol SUSTech, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China
6.Univ Tokyo, Inst Ind Sci, Global Hydrol Predict Ctr, Tokyo 1538505, Japan
7.Chinese Acad Sci, South China Sea Inst Oceanol, CAS Key Lab Trop Marine Bioresources & Ecol, Guangzhou 510301, Peoples R China

Lin, Jingyu,Wang, Peng,Wang, Jinzhu,et al. An extensive spatiotemporal water quality dataset covering four decades (1980-2022) in China[J]. EARTH SYSTEM SCIENCE DATA,2024,16(2).

Lin, Jingyu.,Wang, Peng.,Wang, Jinzhu.,Zhou, Youping.,Zhou, Xudong.,...&Yang, Zhifeng.(2024).An extensive spatiotemporal water quality dataset covering four decades (1980-2022) in China.EARTH SYSTEM SCIENCE DATA,16(2).

Lin, Jingyu,et al."An extensive spatiotemporal water quality dataset covering four decades (1980-2022) in China".EARTH SYSTEM SCIENCE DATA 16.2(2024).