Next Article in Journal
Optical Properties of Aerosols and Chemical Composition Apportionment under Different Pollution Levels in Wuhan during January 2018
Previous Article in Journal
Estimation of Forest Fire Emissions in Southwest China from 2013 to 2017
Open AccessArticle

Impact of Urbanization on Precipitation in North Haihe Basin, China

State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 16; https://doi.org/10.3390/atmos11010016
Received: 26 September 2019 / Revised: 27 November 2019 / Accepted: 18 December 2019 / Published: 22 December 2019
(This article belongs to the Section Biosphere/Hydrosphere/Land–Atmosphere Interactions)
The influence of urbanization on regional precipitation is one of the most important issues in hydrology. This paper selected the North Haihe Basin as the study area and explored the connection between summer precipitation and urbanization index (URBI) based on satellite precipitation and nighttime lights datasets. A moving spatial percentage anomaly method (MSP) was used to signify the local induced enhancement of precipitation (LIEP). Local indicators of spatial association (LISA) clustering for LIEP and URBI based on Bivariate Moran’s I coupled with digital elevation model (DEM) segmentation was used to separate the impacts caused by urbanization and terrain uplifting, and thus, the regions of interest (ROI) where the urban induced enhancement of precipitation (UIEP) plays a dominant role were located. A geographically weighted regression (GWR) model was used to reveal the spatial variation of the sensitivity of UIEP to URBI within the ROI. Pearson correlation and cross-wavelet analyses (XWT) were adopted to investigate the teleconnection between UIEP and climate anomalies, using Niño3.4 and SOI as indices. The results indicated that: (1) Urbanization effects on precipitation spatial variation in the upstream mountainous area would be hidden away by topographic factors. (2) From the perspective of the basin, the highest urbanization level areas have the Lowest LIEP, while the suburban areas have the highest LIEP, and the rural areas are in the middle. (3) The UIEP and the URBI are generally negatively correlated within ROI. (4) UIEP versus Niño3.4 and SOI both show a significant common high-power period at a time scale of 2 years. This work can help comprehensively understand the hydrological response to urbanization. View Full-Text
Keywords: urbanization; precipitation; bivariate Moran’s I; geographically weighted regression; cross-wavelet analysis urbanization; precipitation; bivariate Moran’s I; geographically weighted regression; cross-wavelet analysis
Show Figures

Figure 1

MDPI and ACS Style

Cao, R.; Li, F.; Feng, P. Impact of Urbanization on Precipitation in North Haihe Basin, China. Atmosphere 2020, 11, 16.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop