Risk prediction of urban road ponding in China

It includes the waterlogging grade number, and the current coverage includes the waterlogging grade risk forecast of roads in key cities in China. The risk forecast of waterlogging on domestic urban roads provides a basis for the public to avoid waterlogging in urban travel. At the same time, it provides meteorological basis for urban managers to manage road water accumulation and improve urban road governance level. Data source: jointly release the self-developed data with the public meteorological service center.

consultation: 010-68408994

Service provider

Beijing Tianyi Technology Co., Ltd

Contact customer service: 010-68408994

Online time: 8:30 - 17:00

Email: weatherdt@weather.com.cn

Recommended data

instructions Detailed introduction Error reference code

name

Risk prediction of urban road ponding in China

Interface example

http://api.weatherdt.com/common/?area=101010100&type=hydrops&key= Order Key

Station number list download

http://www.weatherdt.com/userManager/download.html?fileName=hydropStation.zip

Request mode

get/post

parameter

name	type	Required	Sample value	describe
area	String	yes	101250109004J	road number
type	String	yes	hydrops	Data type identification
key	String	yes	fd034bf8fe70289698ec4ea79876feree	Order Key

data format

                     {'hydrops': { '101250109004J': {//Street number '1001023': { '000': '201908011600',//Time '002': 1//water accumulation level (1: low risk, 2: medium risk, 3: high risk, 4: extremely high risk) } } } }

Detailed introduction

It includes the waterlogging grade number, and the current coverage includes the waterlogging grade risk forecast of roads in key cities in China. The risk forecast of waterlogging on domestic urban roads provides a basis for the public to avoid waterlogging in urban travel. At the same time, it provides meteorological basis for urban managers to manage road water accumulation and improve urban road governance level. Data source: jointly release the self-developed data with the public meteorological service center.

Error code	interpretation
CC1001	The interface needs to be paid, please recharge
CC1002	No corresponding data information exists
CC1101	Error in appKey query
CC1102	The appKey key is missing
CC1004	Access times exceeded
CC1000	Exception in calling the service provider interface, please contact the administrator