J
Jiaping Wu
Researcher at Zhejiang University
Publications - 130
Citations - 3971
Jiaping Wu is an academic researcher from Zhejiang University. The author has contributed to research in topics: Environmental science & Soil water. The author has an hindex of 30, co-authored 99 publications receiving 2773 citations. Previous affiliations of Jiaping Wu include University of Western Australia.
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Can seaweed farming play a role in climate change mitigation and adaptation
TL;DR: The seaweed aquaculture can also contribute to climate change adaptation by damping wave energy and protecting shorelines, and by elevating pH and supplying oxygen to the waters, thereby locally reducing the effects of ocean acidification and deoxygenation as discussed by the authors.
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Spatial variation and source apportionment of water pollution in Qiantang River (China) using statistical techniques
TL;DR: Most water quality variables were influenced primarily by pollution due to industrial wastewater, agricultural activities and urban runoff, and mixed source pollution dominated in LP, MP, and HP.
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Nutrient removal from Chinese coastal waters by large-scale seaweed aquaculture
Xi Xiao,Susana Agustí,Fang Lin,Ke Li,Yaoru Pan,Yan Yu,Yuhan Zheng,Jiaping Wu,Carlos M. Duarte,Carlos M. Duarte +9 more
TL;DR: China is facing intense coastal eutrophication, and large-scale seaweed aquaculture in China is popular, now accounting for over 2/3’s of global production, and it is projected this industry will remove 100% of the current phosphorus inputs to Chinese coastal waters by 2026.
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Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River, China.
TL;DR: A deeper understanding of temporal trends and sources of water pollution in different functional zones with a case study of the Qiantang River, China is obtained to offer new insights into water management and advance the source apportionment framework as an operational basis for national and local governments.
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Identifying determinants of urban growth from a multi-scale perspective: A case study of the urban agglomeration around Hangzhou Bay, China
TL;DR: Wang et al. as mentioned in this paper employed spatial autocorrelation regression to identify the geographic determinants of the urban landscape changes, which indicated that the urban landscapes became more dominant, unstable, irregular and compact, especially in the centers of cities.