4.7 Article

Study of soil physicochemical properties and heavy metals of a mangrove restoration wetland

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 291, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.125965

Keywords

Mangroves; Planting pattern; Planting density; Soil physicochemical properties; Heavy metals; Distribution characteristics

Funding

  1. National Natural Science Foundation of China [20777021]
  2. Natural Science Foundation of Fujian Province of China [2017J01018]
  3. Quanzhou City Science & Technology Program of China [2014Z110, 2018Z003]
  4. Teaching development and reform project of Huaqiao University [19JFJXGZ25]
  5. Jinjiang Key Project of Science and Technology [2013S002]
  6. Subsidized Project for Postgraduates'Innovative Fund in Scientific Research of Huaqiao University

Ask authors/readers for more resources

This study explored soil physicochemical properties and heavy metal distribution under different planting patterns in a mangrove restoration wetland in Jinjiang, Fujian Province. Results showed that soil properties and heavy metal concentrations varied among planting patterns, with low-density areas showing higher concentrations of SOM, TN, and TP. The II#3 planting pattern was identified as more effective for soil heavy metal restoration, and pollution levels for 8 elements were generally low or non-existent.
To better understand the optimal restoration pattern, this study explored the soil physicochemical properties and distribution characteristics of heavy metals under various planting patterns in the mangrove restoration wetland which in Jinjiang, Fujian Province. Based on 30 soil samples collected from the wetland in April 2019, we thoroughly analyzed the distribution characteristics of soil physicochemical properties (particle size (PS), pH, soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP)) and nine heavy metals elements (Cr, Ni, Cu, Zn, Pb, Cd, As, V, Co) under different planting patterns. Pollution levels were also studied, and heavy metal concentrations in soil were investigated by correlation analysis, with relevant experimental data from April 2016 and April 2017 used in the comparative analysis. The results showed that in the entire study area, the concentrations of SOM, TN and TP in the low-density area were 35.8%, 18.03%, and 21.36% higher than those in the high-density area, respectively. In the plot of A K-C, Acanthus ilifolius Kandelia obovate Aegiceras corniculatum, the concentrations of SOM, TN and TP were more easily accumulated. The trend in average concentrations of 9 heavy metals were as follows: Zn V > Pb > Cr > Cu > Ni > As > Co > Cd. The concentration of heavy metals in the soil of the A K-C, Acanthus ilifolius Kandelia obovate Aegiceras corniculatum, 0.5 x 0.5 m (II#3) plot was the lowest, and a preliminary conclusion that the II#3 pattern for the restoration of soil heavy metal has a more significant role. Based on the Geo-accumulation Index (I-geo) and the Potential Ecological Risk Index (E-r(i)), the pollution levels of the 8 elements other than Cd either did not reach high levels or had no pollution. Moreover, pH value was negatively correlated with SOM at 5% confidence level, and the correlation coefficient was-0.354 (p < 0.05). The TP increased but the TN decreased year by year, and we can thus consider that the wetland soil and the activated sludge have the same nitrification and denitrification, which is worth for further study. With the increase of wetland restoration time, heavy metals were gradually removed; the concentrations of Cu, Cr, Ni, Pb, Cd in the fifth year were significantly lower than before, and the pollution levels were also significantly reduced. The research methods and results can provide theoretical and scientific bases for further study of wetland vegetation and can help in choosing feasible restoration methods for further wetland restoration. (c) 2021 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Ecology

Fraction distribution and bioavailability of soil heavy metals under different planting patterns in mangrove restoration wetlands in Jinjiang, Fujian, China

Bo Hu, Peiyong Guo, Haitao Su, Jun Deng, Meiyan Zheng, Jinyang Wang, Yaqing Wu, Yifan Jin

Summary: By conducting a mangrove restoration wetland project in Jinjiang Estuary, Fujian Province, it was found that specific planting patterns can effectively reduce the content of heavy metals in the soil, decrease their potential toxicity to the environment, and lower the risk of heavy metal release.

ECOLOGICAL ENGINEERING (2021)

Article Ecology

Distribution characteristics of microplastics in the soil of mangrove restoration wetland and the effects of microplastics on soil characteristics

Bo Hu, Peiyong Guo, Siyu Han, Yifan Jin, Yiting Nan, Jun Deng, Junming He, Yaqing Wu, Sijia Chen

Summary: The dense vegetation in the wetland can effectively retain microplastic particles, and the distribution of microplastics varies significantly under different planting densities. Microplastics can affect soil properties to some extent, which in turn can affect soil functions and biodiversity.

ECOTOXICOLOGY (2022)

Article Green & Sustainable Science & Technology

Relative evaluation of probabilistic methods for spatio-temporal wind forecasting

Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad

Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Comparison of ethane recovery processes for lean gas based on a coupled model

Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang

Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

A novel deep-learning framework for short-term prediction of cooling load in public buildings

Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu

Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

The impact of social interaction and information acquisition on the adoption of soil and water conservation technology by farmers: Evidence from the Loess Plateau, China

Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang

Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Study on synergistic heat transfer enhancement and adaptive control behavior of baffle under sudden change of inlet velocity in a micro combustor

Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He

Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.

JOURNAL OF CLEANER PRODUCTION (2024)