Article
Environmental Sciences
Huayan Zhang, Erik A. Hobbie, Puyu Feng, Ling'an Niu, Kelin Hu
Summary: In this study, a long-term experiment was conducted in the North China Plain to evaluate different farming management practices in response to climate change. The results suggest that conservation agriculture practices, specifically no-tillage method combined with low nitrogen fertilizer and high straw addition, can enhance crop yields, increase soil organic carbon, and mitigate greenhouse gas emissions for sustainable agricultural production under future climate change scenarios.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Mohamed Abdalla, Xiaotong Song, Xiaotang Ju, Pete Smith
Summary: This study evaluated the ability of the DNDC model to estimate soil parameters, crop yield, and N2O emissions in long-term multi-cropping systems in Hebei, China. The model effectively simulated most of the parameters, but had some errors in estimating peak values. The results showed that optimized and alternative cropping systems reduced nitrogen fertilizer use, increased grain yield, and decreased N2O emissions compared to conventional systems.
Article
Engineering, Environmental
Wanshan Tan, Haolin Wang, Jiayin Su, Ruize Sun, Cheng He, Xiao Lu, Jintai Lin, Chaoyang Xue, Haichao Wang, Yiming Liu, Lei Liu, Lin Zhang, Dianming Wu, Yujing Mu, Shaojia Fan
Summary: Despite the reduction in fuel combustion emissions of nitrogen oxides (NOx) driven by policies, surface ozone concentrations in China have been increasing since 2013. This study examines the role of soil reactive nitrogen (N-r) emissions, including NOx and nitrous acid (HONO), in the ozone increase over the North China Plain (NCP) from 2013 to 2019. The results show that soil N-r emissions have contributed significantly to the ozone enhancement, and there is a competition effect between combustion and soil N-r sources on ozone production in the NCP region. The increase in soil N-r ozone contribution is driven by the concurrent decreases in fuel combustion NOx emissions, emphasizing the importance of considering the interaction between anthropogenic and biogenic sources in ozone mitigation strategies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Agronomy
Shuang Zhou, Yang Gao, Junpeng Zhang, Jie Pang, Abdoul Kader Mounkaila Hamani, Chunping Xu, Hongkai Dang, Caiyun Cao, Guangshuai Wang, Jingsheng Sun
Summary: Saline water irrigation can alleviate water shortages and reduce soil carbon emissions without affecting cotton yield, as long as the salinity is below 10.6 dS m(-1). This conclusion was drawn from a long-term study on cotton fields, where saline water irrigation significantly decreased soil water-stable aggregate content, porosity, and soil enzyme activity, as well as reduced soil respiration.
Article
Agronomy
Kun Du, Yunfeng Qiao, Qiuying Zhang, Fadong Li, Qi Li, Shanbao Liu, Chao Tian
Summary: This study conducted in the North China Plain found that annual abnormal rainfall and temperature significantly influenced the simulation of soil water content and wheat growth. The simulated LAI values were significantly higher than the measured values, while the simulated aboveground biomass values were lower. The study demonstrated the importance of climate change on soil water content and crop growth.
Article
Agronomy
Wei Wan, Zhong Liu, Kejiang Li, Guiman Wang, Hanqing Wu, Qingyun Wang
Summary: Remote sensing technology is widely used in monitoring agricultural crops, with timely assessment of drought stress playing a valuable role in crop management. This study evaluated drought stress in maize planting areas using satellite remote sensing, identifying spatial patterns and establishing a comprehensive drought index for the entire growth period. Results showed negative correlations between soil water content and temperature vegetation drought index, highlighting sensitive periods for maize water demand and facilitating large-scale drought monitoring of crop planting areas.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Xianglin Zhang, Jie Xue, Songchao Chen, Nan Wang, Zhou Shi, Yuanfang Huang, Zhiqing Zhuo
Summary: This study provides the up-to-date spatial distribution map of soil organic carbon in drylands of Northeast and North China Plain using machine learning algorithms. The results showed that SOC increased from south to north and decreased with soil depths. Random Forest performed better in terms of prediction accuracy and robustness. Soil, parent material, and organism were identified as the most important variables in SOC prediction.
Article
Environmental Sciences
Haipeng Guo, Aibing Hao, Wenpeng Li, Xisheng Zang, Yunlong Wang, Juyan Zhu, Liya Wang, Ye Chen
Summary: Land subsidence is a typical geo-hazard in Cangzhou, North China Plain, causing severe damages to transportation networks and civil infrastructures. The mechanism of subsidence is mainly due to groundwater withdrawal from deep confined aquifers, and rainfall is closely related to the areas of severe subsidence in the Cangzhou Plain.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Zhaoxin Li, Qiuying Zhang, Yunfeng Qiao, Kun Du, Zhao Li, Chao Tian, Nong Zhu, Peifang Leng, Zewei Yue, Hefa Cheng, Gang Chen, Fadong Li
Summary: This study investigated the impacts of different tillage practices on soil carbon storage and CO2 emissions in the North China Plain using C-13 isotopic signature. The results showed that no-tillage (NT) had lower CO2 emissions compared to conventional tillage (CT), and NT facilitated enhanced soil carbon storage. This was attributed to the increased soil microbial carbon and nitrogen as well as soil moisture in NT, which inhibited soil respiration.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Lingjie Lei, Ying Li, Zhenxing Zhou, Na Li, Cancan Zhao, Qiang Li
Summary: Land use change significantly affects soil microbial respiration, with controversial effects of agricultural expansion and cropland abandonment. The mechanisms underlying these effects are unclear. This study conducted a comprehensive survey in North China Plain and found that soil microbial respiration increased with the conversion of grassland to cropland and orchard, but decreased with the returning of cropland and orchard to old-field grassland. Soil organic and inorganic nitrogen contents played a crucial role in the effects of land use change on soil microbial respiration. These findings provide important insights into the response of soil carbon emissions to land use changes.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Soil Science
Yang Guo, Guangbin Zhang, Mohamed Abdalla, Matthias Kuhnert, Haijun Bao, Hua Xu, Jing Ma, Khadiza Begum, Pete Smith
Summary: This study compared two well-established biogeochemical models, DAYCENT and DNDC, for estimating methane emissions and grain yields in a double-rice cropping system in Southern China. The models performed effectively in estimating daily methane emissions, but were less accurate in treatments without stubble incorporation. The study recommends improving the algorithms for the impacts of tillage practice on methane emissions in both models.
Article
Environmental Sciences
Tian Feng, Shuyu Zhao, Lang Liu, Xin Long, Chao Gao, Naicheng Wu
Summary: The study shows that soil bacteria in the North China Plain emit abundant HONO during the summer, with varying emission rates across different areas and clear diurnal cycles. HONO emissions from soil bacteria significantly affect atmospheric chemistry in the region, particularly in altering diurnal cycles of HONO and OH concentrations.
Article
Microbiology
Ying Yang, Yu Shi, Jie Fang, Haiyan Chu, Jonathan M. Adams
Summary: This study investigated the biogeographical patterns and major drivers of microbial co-occurrence in agricultural soils. The results revealed that soil pH was the most important factor influencing the network structure and keystone taxa abundance. Lower pH was associated with a more complex microbial network for bacteria, while no strong trend was observed for fungi. The abundance of keystone taxa was positively correlated with ecosystem function and stability, and primarily explained by pH. These findings offer new insights into the impact of pH on soil microbial networks in agricultural environments, contributing to our understanding of the functioning and stability of agricultural ecosystems.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Soil Science
Xueqing Liu, Hongrun Liu, Danyang Ren, Churong Liu, Yushi Zhang, Senqi Wang, Zhaohu Li, Mingcai Zhang
Summary: This study investigated the impacts of different tillage practices on soil microbial community structure, co-occurrence pattern, and keystone taxa, as well as the correlations between keystone taxa and soil properties. The results showed that tillage practices affected soil quality by mediating bacterial diversity and keystone taxa. Additionally, keystone taxa were significantly influenced by soil organic carbon, carbon mineralization, and bulk density.
APPLIED SOIL ECOLOGY
(2022)
Article
Agronomy
Fengli Jiao, Shengzhe Hong, Jichao Cui, Qingfen Zhang, Ming Li, Ruilin Shi, Huifang Han, Quanqi Li
Summary: Subsoiling improves soil water availability and crop water productivity, but increases carbon emissions. Appropriate irrigation management further enhances crop yield and carbon efficiency.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)