Zongzhi Wang

Zongzhi Wang

orcid

Research Focus & Metrics

Academic Career Length

44Years (1983-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 February 2023 in Journal of Cleaner Production
Verified
Journal Article
Closed access
LJLong Jiang
Long Jiang
ZWZongzhi Wang
Zongzhi Wang
QZQiting Zuo
Qiting Zuo
HDHuihua Du
Huihua Du

1 November 2014 in Journal of Hydrology
Verified
Journal Article
Closed access
JCJianxia Chang
Jianxia Chang
XMXuejiao Meng
Xuejiao Meng
ZWZongzhi Wang
Zongzhi Wang
XWXuebin Wang
Xuebin Wang
QHQiang Huang
Qiang Huang

1 March 2019 in Agricultural Water Management
Verified
Journal Article
Closed access
ZWZongzhi Wang
Zongzhi Wang
AYAiling Ye
Ailing Ye
LWLihui Wang
Lihui Wang
KLKelin Liu
Kelin Liu
LCLiang Cheng
Liang Cheng

1 May 2014 in Journal of Hydrology
Verified
Journal Article
Closed access
QZQiang Zhang
Qiang Zhang
MXMingzhong Xiao
Mingzhong Xiao
Jianfeng LiJianfeng Li
Jianfeng Li
VSVijay P. Singh
Vijay P. Singh
ZWZongzhi Wang
Zongzhi Wang

1 May 2019 in Journal of Hydrology
Verified
Journal Article
Closed access
XMXuejiao Meng
Xuejiao Meng
JCJianxia Chang
Jianxia Chang
XWXuebin Wang
Xuebin Wang
YWYimin Wang
Yimin Wang
ZWZongzhi Wang
Zongzhi Wang

12 May 2014 in International Journal of Climatology
Verified
Journal Article
Open access
PDF file
QZQiang Zhang
Qiang Zhang
TQTianyao Qi
Tianyao Qi
Jianfeng LiJianfeng Li
Jianfeng Li
VSVijay P. Singh
Vijay P. Singh
ZWZongzhi Wang
Zongzhi Wang
Observed pan evaporation data from 588 stations covering the entire territory of China are analysed using the modified Mann–Kendall trend test method. Fuzzy C‐Means clustering is conducted for regionalization. Sensitivity analysis is performed to identify the principal influencing factors. Results indicate that: (1) the entire country can be categorized into three parts, i.e. A: southern, central and southwestern China; B: northwestern China and C: strip zone extending from northeastern to southwestern China; (2) significant decreasing pan evaporation can be identified in southern, central, southwestern, eastern and northwestern China. Stations with significant increasing pan evaporation seem to be scattered sporadically across China. Besides, the strip zone extending in the NE‐SW direction is dominated by significant and also nonsignificant increasing trends of pan evaporation and (3) sensitivity analysis indicates that relative humidity is the principal influencing factor for pan evaporation, especially in northwestern, northern and northeastern China. Generally, in northwestern, northern and northeastern China, relative humidity has an adverse relation with pan evaporation, implying pan evaporation paradox and also intensifying hydrological cycle in these regions. In southeastern China, particularly the middle and lower Yangtze River basin and the Pearl River basin, relations between pan evaporation and relative humidity are relatively complex, showing that other factors in addition to relative humidity can have impacts on pan evaporation changes, such as cloud coverage, temperature and aerosol concentration. Local features of aerodynamic and radiative drivers of the hydrological cycle and their regional responses to climate changes, and also different features of ground surface may play considerable roles in pan evaporation changes.