{"title":"Imbalance of coastal sustainability research hinders equality","authors":"Yinshuai Li , Nan Jia , Ruishan Chen","doi":"10.1016/j.horiz.2024.100107","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100107","url":null,"abstract":"<div><p>Climate change has become a serious challenge to human sustainable development. Coastal areas, as gathering places for population and resources, also frequently suffer from disturbances such as rising sea levels and extreme weather. At the United Nations Climate Change Conference (UNCCC), it was emphasized that the issue of climate inequality is becoming increasingly prominent, and seeking \"climate justice\" has become a general trend. Coastal African countries with lower carbon emissions face greater climate risks, but lack the capacity to address these challenges. No one can be spared under the crisis. Here, to realize the commitment of Leave No One Behind (LNOB) proposed by the United Nations Sustainable Development Group, we propose to rectify this imbalance, focus on academic research on sustainability in African coastal countries, and promote global fairness and sustainable development under climate crisis by improving climate compensation mechanisms, promoting technical support, strengthening economic assistance, and promoting international cooperation.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000191/pdfft?md5=58acba8346d2612ee702a61f3f40cc32&pid=1-s2.0-S2772737824000191-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140341748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yina Tian , Lingchao Kong , Hua Zou , Ming Liu , Guoshuai Liu
{"title":"Boosting hydroxyl radical generation for highly efficient electrooxidation of sulfamethazine via facile doping strategy","authors":"Yina Tian , Lingchao Kong , Hua Zou , Ming Liu , Guoshuai Liu","doi":"10.1016/j.horiz.2024.100103","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100103","url":null,"abstract":"<div><p>The one-electron water oxidation reaction (WOR) to generates hydroxyl radicals (<sup>•</sup>OH) plays a pivotal role in electrochemical advanced oxidation processes (EAOPs). In this study, we present a novel and facile strategy involving Ho-doping to regulate the electronic configuration of the conventionally nonactive PbO<sub>2</sub> electrode. Experimental findings demonstrate that PbO<sub>2</sub> doped with 2.4% Ho achieves the highest degradation performance of sulfamethazine (SMZ) (∼100%; <em>k</em><sub>obs</sub> = 0.093 min<sup>−1</sup>) and highest <sup>•</sup>OH generation efficiency with a relatively concentration of <sup>•</sup>OH = 1.9 × 10<sup>7</sup>. The doped electrodes exhibit a notable enhancement compare to the undoped electrode, which elevating SMZ degradation efficiency and <sup>•</sup>OH generation by factors of 1.45 and 3.8, respectively. Electrochemical characterization and degradation results elucidate that the modulation of electron transfer rate and oxygen evolution potential are crucial factors governing the performance of the Ho-doped PbO<sub>2</sub> anode. Specifically, maintaining a suitably high oxygen evolution potential (OEP) enables the thermodynamically feasible production of <sup>•</sup>OH, while a relatively fast electron transfer rate ensures the generation of H<sub>2</sub>O<sup>+</sup> (the oxidation precursor of <sup>•</sup>OH) with kinetic feasibility. Furthermore, a degradation pathway for SMZ is proposed based on the identification of transformation mechanism using density functional calculation (DFT) and the detection of intermediates via LC-MS/MS. This study provides an universal strategy for simultaneously enhancing the OEP and optimizing the electron transfer rate of an EAOP anode through the modulation of anodic electronic configuration, thereby advancing the field of efficient water treatment applications.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000154/pdfft?md5=debd76223dc88aa1320b24c47fb6b098&pid=1-s2.0-S2772737824000154-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140327722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chuan Zhao , Yafei Wang , Zhongmin Lian , Zhengyang Zhang , Shijun Ma , Kazuyo Matsubae
{"title":"Agricultural plastic pollution in China: Sources, supply chain drivers, and mitigation strategies","authors":"Chuan Zhao , Yafei Wang , Zhongmin Lian , Zhengyang Zhang , Shijun Ma , Kazuyo Matsubae","doi":"10.1016/j.horiz.2024.100102","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100102","url":null,"abstract":"<div><p>Plastic pollution from agricultural production poses discernible risks to food security and safety. This work endeavors to address the gap of quantification and traceability of agricultural plastic pollution by estimating plastic loss associated with diverse farm activities and explore potential mitigation strategies. Results revealed that annual agricultural plastic pollution in China amounted to 570 kt. The main sources of the pollution were identified as the use of mulching film in agriculture production, farming practices employed for vegetable and fruit production, and the geographical distribution of agricultural activities, particularly in provinces of Xinjiang and Shandong in China. From a production perspective, thicker agricultural film substitution proved a more cost-effective mitigation than biodegradable alternatives for most provinces. Applying a nested multiregional input-output model, interprovincial and international final demand drivers of pollution were identified primarily from eastern China, the United States, and Japan. At the provincial level, the most significant sectoral driving force of provincial agricultural plastic pollution is primary agricultural products, followed by processed foods and textile-related products. The study highlights the imperatives for more inclusive plastic pollution monitoring and comprehensive consumption behavior guidance for sustainable agriculture.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000142/pdfft?md5=ec661f62a419046e13b5b29e77ad2579&pid=1-s2.0-S2772737824000142-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140309540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guangchen Jia , Chao Ma , Yunpeng Zhao , Yanqian Sun , Hangfei Liu
{"title":"Numerical study on the sensitivity of photovoltaic panels to wind load on array layout","authors":"Guangchen Jia , Chao Ma , Yunpeng Zhao , Yanqian Sun , Hangfei Liu","doi":"10.1016/j.horiz.2024.100101","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100101","url":null,"abstract":"<div><p>Offshore floating photovoltaics began to gradually enter people's vision due to the limitation of inland land resources. However, the offshore environment is harsh, and wind load is an essential factor in floating photovoltaic design. At the same time, the photovoltaic panel will be subjected to a large wind load in strong typhoon weather, which may cause a drag-driven or lift-driven instability for offshore floating photovoltaics. In this work, the effects of wind loads on six PV array structure configurations installed on offshore floating PV platforms at high Reynolds numbers are investigated by using the computational fluid dynamics numerical method. The differences in wind load on photovoltaic panels under different layout structures are analyzed and explained, including analysis of velocity and pressure distribution, turbulence field, and lift and drag coefficient of photovoltaic panels. The results showed array b with symmetrically staggered has less sensitivity to wind direction, less lifting torque, and relatively small pressure on the surface of the photovoltaic panel, which is a potential arrangement.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000130/pdfft?md5=3326a76a65decdc4153a1caec2000368&pid=1-s2.0-S2772737824000130-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140187622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shaorui Li , Zhenchang Zhu , Weitang Deng , Qin Zhu , Zhihao Xu , Bo Peng , Fen Guo , Yuan Zhang , Zhifeng Yang
{"title":"Estimation of aboveground biomass of different vegetation types in mangrove forests based on UAV remote sensing","authors":"Shaorui Li , Zhenchang Zhu , Weitang Deng , Qin Zhu , Zhihao Xu , Bo Peng , Fen Guo , Yuan Zhang , Zhifeng Yang","doi":"10.1016/j.horiz.2024.100100","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100100","url":null,"abstract":"<div><p>Accurate estimating biomass is essential for monitoring mangrove dynamics and quantifying its carbon stocks. Utilizing Unmanned Aerial Vehicle (UAV) monitoring to replace manual surveys for biomass estimation offers advantages such as broad coverage and rapid data collection. However, uncertainty exists in selecting appropriate UAV inversion parameters. Meanwhile, accurate biomass estimation of mangrove is challenging as its low penetration, especially the difficult for distinguishing between different mangrove vegetation types. In this study, we combined UAV and Light Detection and Ranging (LiDAR) to accurately estimate the biomass of different mangrove vegetation types. Using the UAV-mounted LiDAR as a sampling tool, we obtain Three-Dimensional (3D) point cloud data of six dominant mangrove vegetation types in South China. Combining such data with field measurements, we analyzed the impact of different inversion parameters on biomass estimation accuracy of different mangrove vegetation types. The results demonstrated that the combination of average canopy height and average canopy effective cover generally yielded the highest accuracy for estimating mangrove biomass. Moreover, refinement of biomass estimation for different mangrove vegetation types with curve fits further improved accuracy. The current work provides an effective tool to accurately quantify the aboveground biomass of different mangrove vegetation at a range of scales. This carries significant implications for assessing its distribution status and characterizing its functions such as carbon sequestration.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000129/pdfft?md5=0525d7d2e9448a5762e2d67a3e2aeb52&pid=1-s2.0-S2772737824000129-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140062174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia","authors":"Nawin Raj , Reema Prakash","doi":"10.1016/j.horiz.2024.100098","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100098","url":null,"abstract":"<div><p>Wave energy is regarded as one of the powerful renewable energy sources and depends on the assessment of significant wave height (H<sub>s</sub>) for feasibility. Hence, this study explores the potential of wave energy by assessing and predicting H<sub>s</sub> for two study sites in Queensland (Emu Park and Townsville), Australia. Assessment and prediction of H<sub>s</sub> is extremely important for reliable planning, cost management and implementation of wave energy projects. The study utilized oceanic datasets based on wave measurements obtained from buoys along coastal regions of Queensland that are transmitted to nearby receiver stations. The parameters of the datasets include maximum wave height, zero up crossing wave period, peak energy wave period and sea surface temperature to accurately predict Hs. A new hybrid Convolutional Neural Network (CNN) and Bidirectional Long Short Term (BiLSTM) deep learning model with Multivariate Variational Mode Decomposition (MVMD) is developed which is benchmarked by Multi-Layer Perceptron (MLP), Random Forest (RF) and Categorical Boosting (CatBoost) to compare the performance. All models attain relatively high-performance results. The MVMD-CNN-BiLSTM attains slightly better performance values for both study sites among all developed models with highest correlation values of 0.9957 and 0.9986 for Emu Park and Townsville, respectively. Other performance evaluation metrics were also higher for MVMD-CNN-BiLSTM with lowest error values in comparison to the benchmark models. The annual mean of H<sub>s</sub> is also computed to compare and obtain an insight with a linear projection. There is a greater ocean wave energy potential for Emu Park for a 10-year period with a projected mean H<sub>s</sub> of 0.865 m in comparison to Townsville where the projected mean was of 0.665 m.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000105/pdfft?md5=3fb925c9543e661cb2b8dfdb089539b5&pid=1-s2.0-S2772737824000105-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Can Ma , Zhen-Zhong Hu , Xiang Yuan Zheng , Zhengru Ren
{"title":"Inertia load reduction for loadoff during floating offshore wind turbine installation: Release decision and ballast control","authors":"Can Ma , Zhen-Zhong Hu , Xiang Yuan Zheng , Zhengru Ren","doi":"10.1016/j.horiz.2024.100096","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100096","url":null,"abstract":"<div><p>High offshore installation costs are a significant factor limiting the competitiveness of offshore wind energy. One efficient installation approach for floating offshore wind turbines is to preassemble the tower, nacelle, and rotor onshore and perform a single lifting operation to mate the superstructure with the floating foundation at the installation site. It is heavy lifting, due to the weighty payload. At the end of the mating process, a loadoff operation is conducted to transfer the preassembly to the floating foundation. It results in a sudden change in total force acting on the vessel and causes substantial acceleration and potential damage to the mechanism in the onboard nacelles. The magnitude of acceleration of the onboard nacelles can vary greatly at different release instants. In this research, a simplified two-degrees-of-freedom (DOF) (heave and pitch) model is also proposed to account for the heavy lifting process and variable ballast tanks. The sudden payload transfer is approximated using a hyperbolic tangent function to guarantee continuity and differentiability. The loadoff operation consists of the decision-making and vessel-stabilizing phases. Based on the nonlinear model predictive control method, a payload-transfer time selector and anti-pitch ballast controller have been developed to achieve optimal release time decisions and stabilize the vessel after payload release, respectively. Six-DOF simulation results show that the proposed algorithms are capable to a satisfying level of robustness of deciding the optimal payload release time instant, as well as limiting the peak and mean acceleration magnitudes of the onboard nacelles after payload release. The decision-making and control strategies may promote the sustainable energy transformation by extending the operation window and reduce the installation costs.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"10 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000087/pdfft?md5=651c7c00eed1e853740a48e97d8aed3b&pid=1-s2.0-S2772737824000087-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139985473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chengyuan Wang , Ling Wang , Junjie Zhai , Tiantian Feng , Yuzhou Lei , Shanfu Li , Yuan Liu , Yuwen Liu , Zhibo Hu , Kun Zhu , Yupeng Chang , Shuai Cui , Xuegang Mao
{"title":"Assessing progress toward China's subnational sustainable development by Region Sustainable Development Index","authors":"Chengyuan Wang , Ling Wang , Junjie Zhai , Tiantian Feng , Yuzhou Lei , Shanfu Li , Yuan Liu , Yuwen Liu , Zhibo Hu , Kun Zhu , Yupeng Chang , Shuai Cui , Xuegang Mao","doi":"10.1016/j.horiz.2024.100099","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100099","url":null,"abstract":"<div><p>Quantifying progress towards the United Nations (UN) Sustainable Development Goals (SDGs) requires countries to make profound changes and major efforts in monitoring and measurement. However, there is still a need for a simple and easy-to-use means to quantify subnational SDGs performance and to determine the applicability of remote sensing big data tools, such as night-time lighting, for tracking the sustainable development process. This study used hierarchical clustering and principal component analysis (PCA), to construct a regional sustainable development index (RSDI), which aims to quantify China's progress towards the SDGs at the subnational level in 2013–2020. The average R<sup>2</sup> of the linear regression between China's subnational RSDIs from 2013 to 2020 is 0.9. The average R<sup>2</sup> of the RSDI and the Average Night-light Index (ANLI) is 0.57, and the average R<sup>2</sup> of the RSDI and Gross Domestic Product per capita (CGDP) is 0.85. The RSDI has remained stable over time as an observation framework and is suitable for tracking China's sustainable development in the long term, with a strong link to the CGDP and ANLI, which reflect economic development and big data method. The RSDI in China's eastern region reduces by 0.32 % annually, while the RSDI in central and western regions grows by 1.26 % annually. The RSDI in China's northern region reduces by 0.14 % annually, while the RSDI in China's southern regions grows by 2.62 % annually. We also attempted to incorporate ANLI and CGDP into the RSDI framework to capture potential application scenarios for tracking sustainability by using nighttime lighting. The RSDI can track how the SDGs are implemented and can be used in other countries subnational areas to analyze the spatial-temporal dynamics of SDGs achievement.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"11 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000117/pdfft?md5=0e548f7b3cadc5b6beb84faa54d27de8&pid=1-s2.0-S2772737824000117-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139975709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianfeng Hou , Dong Yang , Zhijie Chen , Xihan Tan , Lei Jiang , Bing-Jie Ni , Ning Han
{"title":"Novel dual-phase ceramic membrane for sustainable oxygen separation","authors":"Jianfeng Hou , Dong Yang , Zhijie Chen , Xihan Tan , Lei Jiang , Bing-Jie Ni , Ning Han","doi":"10.1016/j.horiz.2024.100095","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100095","url":null,"abstract":"<div><p>Mixed ionic–electronic conducting (MIEC) perovskite oxide membranes are greatly required in fields of oxygen separation. In this study, Gadolinium-doped Cerium (GDC) and La<sub>2</sub>NiO<sub>4</sub> (LNO) powders are prepared into dual-phase perovskite membranes by ball-milling and sintering. The mixed membranes show a distorted perovskite phase with orthorhombic structure and cubic structure. For oxygen permeability of membranes, the fluxes increase with the enhancement of temperatures or He sweep gas flows. The effects of four doping ratios (10 %, 20 %, 30 %, and 40 %) on oxygen permeability are discussed. Compared with the LNO membrane, the oxygen permeation fluxes of the four mixed membranes show varying degrees of improvement. And, the optimal doping ratio is 20 wt.%. The maximum oxygen permeation flux is ∼3.53 mL·min<sup>−1</sup>·cm<sup>−2</sup> in all test conditions. To further investigate the influence of different conditions on oxygen permeability, Arrhenius activation energy theory, kinetic analysis, and improvement factor are introduced to support the hypothesis. Simultaneously, the membranes have excellent tolerance to CO<sub>2</sub> atmosphere. The long-time stability (∼1200 min) under CO<sub>2</sub> atmosphere and recovery capability can endow the dual-phase perovskite membrane with great potential for numerous applications.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"10 ","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000075/pdfft?md5=4ca5a18585b0be3c26c84c8d1258d763&pid=1-s2.0-S2772737824000075-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139941751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yifan Zhang , Cheng Wang , Yujuan Gao , Liang Zhao , Beidou Xi , Wenbing Tan
{"title":"Structure and composition of rhizosphere-soil humic acid and fulvic acid as affected by the land-use change from paddy to upland fields","authors":"Yifan Zhang , Cheng Wang , Yujuan Gao , Liang Zhao , Beidou Xi , Wenbing Tan","doi":"10.1016/j.horiz.2024.100097","DOIUrl":"https://doi.org/10.1016/j.horiz.2024.100097","url":null,"abstract":"<div><p>To meet the growing needs of people, land use change has gradually become the theme of global change. This change makes soil quality and agricultural ecosystem fertility change. Among these, soil organic matter (SOM) is an important component of soil, but the effects of land-use change on SOM are still uncertain. In particular, the composition and functional groups of humic acid (HA) and fulvic acid (FA) in rhizosphere soil of different crops under land use change from paddy to upland fields are still unclear. Therefore, three land-use-change forms [paddy-to-wheat rhizosphere soil (P–W), paddy-to-celery rhizosphere soil (P–C), and paddy-to-grape rhizosphere soil (P–G)] were used. In addition, paddy rhizosphere soil (CK) without a change in land use was selected as a control to evaluate the effects of different land-use forms on HA and FA in rhizosphere soil. The results demonstrated that total organic carbon, permanganate oxidizing carbon, and dissolved organic carbon contents in rhizosphere soils of P–W and P–G sites increased significantly with changes in land use types. The C/H ratio of HA was reduced significantly in P–G, and the O/C and (O + N)/C ratios were altered, but there were no significant differences among the different land uses. Spectral analysis showed that the structure and composition of the functional groups in the rhizosphere soil with different crops were different in HA and FA, as evidenced by differences in ultraviolet spectra, nuclear magnetic resonance spectra, and fluorescence composition. Changes in land use patterns can impact the content, structure, and composition of organic matter in rhizosphere soils. This result helps to understand the ecological functions and environmental benefits of SOM under different land use types for better sustainable use of agricultural soils.</p></div>","PeriodicalId":101199,"journal":{"name":"Sustainable Horizons","volume":"10 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772737824000099/pdfft?md5=1d167b3cad09616f8ce1f8ad00010d84&pid=1-s2.0-S2772737824000099-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139941752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}