Weiqi Zhou

2papers

2 Papers

CVJul 3, 2023
Mega-cities dominate China's urban greening

Xiaoxin Zhang, Martin Brandt, Xiaoye Tong et al.

Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban greening policies over the past decades, however, monitoring their impact on urban tree dynamics at a national scale has proven challenging. In this study, we deployed nano-satellites to quantify urban tree coverage in all major Chinese cities larger than 50 km2 in 2010 and 2019. Our findings indicate that approximately 6000 km2 (11%) of urban areas were covered by trees in 2019, and 76% of these cities experienced an increase in tree cover compared to 2010. Notably, the increase in tree cover in mega-cities such as Beijing, and Shanghai was approximately twice as large as in most other cities (7.69% vs 3.94%). The study employs a data-driven approach towards assessing urban tree cover changes in relation to greening policies, showing clear signs of tree cover increases but also suggesting an uneven implementation primarily benefiting a few mega-cities.

NAJul 20, 2016
Random Reordering in SOR-Type Methods

Peter Oswald, Weiqi Zhou

When iteratively solving linear systems By=b with Hermitian positive semi-definite $B$, and in particular when solving least-squares problems for $Ax=b$ by reformulating them as $AA^\ast y=b$, it is often observed that SOR-type methods (Gauss-Seidel, Kaczmarz) perform suboptimally for the given equation ordering, and that random reordering improves the situation on average.This paper is an attempt to provide some additional theoretical support for this phenomenon. We show eerror bounds for two randomized versions, called shuffled and preshuffled SOR, that improve asymptotically upon the best known bounds fro SOR with cyclic ordering. Our results are based on studying the behavior of the triangular truncation of Hermitian matrices with respect to their permutations.