Heqin Cheng

Prof. Dr. Heqin Cheng

State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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9 August 2018 in Scientific Reports
Verified
Journal Article
Open access
PDF file
SZShuwei Zheng
Shuwei Zheng
YiJun XuYiJun Xu
YiJun Xu
Heqin ChengHeqin Cheng
Heqin Cheng
BWBo Wang
Bo Wang
WXWei Xu
Wei Xu
SWShuaihu Wu
Shuaihu Wu
The world’s largest hydropower dam, the Three Gorges Dam (TGD), spans the upper Yangtze River in China, creating a 660-km long and 1.1-km wide reservoir upstream. Several recent studies reported a considerable decline in sediment load of the Lowermost Yangtze River (LmYR) and a rapid erosion in the subaqueous delta of the river mouth after the closure of the TGD in 2003. However, it is unknown if the TGD construction has also affected river channel and bed formation of the LmYR. In this study, we compared bathymetric data of the last 565 kilometers of the Yangtze River’s channel between 1998 and 2013. We found severe channel erosion following the TGD closure, with local riverbed erosion up to 10 m deep. The total volume of net erosion from the 565-km channel amounted to 1.85 billion m3, an equivalent of 2.59 billion metric tons of sediment, assuming a bulk density of 1.4 t/m3for the riverbed material. The largest erosion occurred in a 100-km reach close to the Yangtze River mouth, contributing up to 73% of the total net eroded channel volume.

7 April 2021 in Sustainability
Verified
Journal Article
Open access
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JNJamila Ngondo
Jamila Ngondo
Joseph MangoJoseph Mango
Joseph Mango
RLRuiqing Liu
Ruiqing Liu
JNJoel Nobert
Joel Nobert
Alfonse DubiAlfonse Dubi
Alfonse Dubi
Heqin ChengHeqin Cheng
Heqin Cheng
Evaluation of river basins requires land-use and land-cover (LULC) change detection to determine hydrological and ecological conditions for sustainable use of their resources. This study assessed LULC changes over 28 years (1990–2018) in the Wami–Ruvu Basin, located in Tanzania, Africa. Six pairs of images acquired using Landsat 5 TM and 8 OLI sensors in 1990 and 2018, respectively, were mosaicked into a single composite image of the basin. A supervised classification using the Neural Network classifier and training data was used to create LULC maps for 1990 and 2018, and targeted the following eight classes of agriculture, forest, grassland, bushland, built-up, bare soil, water, and wetland. The results show that over the past three decades, water and wetland areas have decreased by 0.3%, forest areas by 15.4%, and grassland by 6.7%, while agricultural, bushland, bare soil, and the built-up areas have increased by 11.6%, 8.2%, 1.6%, and 0.8%, respectively. LULC transformations were assessed with water discharge, precipitation, and temperature, and the population from 1990 to 2018. The results revealed decreases in precipitation, water discharge by 4130 m3, temperature rise by 1 °C, and an increase in population from 5.4 to 10 million. For proper management of water-resources, we propose three strategies for water-use efficiency-techniques, a review legal frameworks, and time-based LULC monitoring. This study provides a reference for water resources sustainability for other countries with basins threatened by LULC changes.


12 April 2018 in Science China Earth Sciences
Verified
Journal Article
Closed access
PDF file
SZShuwei Zheng
Shuwei Zheng
Heqin ChengHeqin Cheng
Heqin Cheng
SSShengyu Shi
Shengyu Shi
WXWei Xu
Wei Xu
QZQuanping Zhou
Quanping Zhou
MCMinxiong Cao
Minxiong Cao

12 December 2017 in Environmental Monitoring and Assessment
Verified
Journal Article
Closed access
PDF file
SZShuwei Zheng
Shuwei Zheng
YiJun XuYiJun Xu
YiJun Xu
Heqin ChengHeqin Cheng
Heqin Cheng
BWBo Wang
Bo Wang
XLXuejun Lu
Xuejun Lu

6 April 2024 in Journal of Environmental Management
Verified
Journal Article
Closed access
JWJunhao Wu
Junhao Wu
XCXi Chen
Xi Chen
RLRui Li
Rui Li
AWAnqi Wang
Anqi Wang
SHShutong Huang
Shutong Huang
ZWZhaocai Wang
Zhaocai Wang