11 results match your criteria: "Anhui and Huaihe River Institute of Hydraulic Research[Affiliation]"

Polyurethane (PU) grouting materials play a crucial role in trenchless rehabilitation with their mechanical properties significantly influenced by the cross-linking degree and cross-linking uniformity. This study investigates the effects of inhomogeneous cross-linking on the mechanical behavior of PU, an area that remains underexplored. We developed PU molecular models with varying cross-linking degrees and cross-linking uniformity, quantitatively described by the parameter .

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Agricultural droughts are a threat to local economies, as they disrupt crops. The monitoring of agricultural droughts is of practical significance for mitigating loss. Even though satellite data have been extensively used in agricultural studies, realizing wide-range, high-resolution, and high-precision agricultural drought monitoring is still difficult.

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Transition metals exhibit high reactivity for Fenton-like catalysis in environmental remediation, but how to save consumption and reduce pollution is of great interest. In this study, rationally designed defect-engineered Fe@MoS (Fe@D-MoS) was prepared by incorporating reactive iron onto structural defects generated from the chemical acid-etching, aiming to improve the energetic consumption of the catalyst in Fenton-like applications. Morphological and structural properties were elucidated in details, the Fenton-like reactivity was evaluated with five phenolic contaminants for oxidant activation, radical generation and environmental remediation.

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Refining metallic nano-copper by electron-rich black carbon for superior Fenton-like catalysis in water purification: The capacitive regulation of corrosive electron transfer.

J Hazard Mater

September 2024

Key Laboratory of Aqueous Environment Protection and Pollution Control of Yangtze River in Anhui, Anqing Normal University, Anqing 246011, China. Electronic address:

Article Synopsis
  • - Transition metals show potential as catalysts for environmental cleanup, but issues like low reactivity and poor stability hinder their effectiveness in real-world applications.
  • - The study demonstrates that adding electron-rich dissolved black carbon (DBC) to nanoscale zero-valent copper (nZVCu) enhances its reactivity, durability, and ability to be reused, significantly improving its effectiveness in activating pollutants.
  • - Hydroxyl radicals are found to be the primary reactive species responsible for pollutant degradation, with DBC protecting copper from corrosion, thus facilitating better electron transfer in the catalytic process.
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Grain production consumes a large amount of water and is affected by the degree of water scarcity and participation in the grain trade in various regions. The grain trade has changed the food security risks in regions where grain exports and imports. Therefore, it is crucial to consider regional water scarcity to understand food security risks from the grain trade network.

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The more water quality evaluation indicators, the greater the amount of water quality evaluation calculation. Under the requirements of evaluation accuracy, the index screening method is usually used to optimize water quality evaluation index to reduce the calculation amount of water quality evaluation. Taking Mengcheng Gate of Guo River as an example, the information sensitivity index screening method was used to simplify the water quality evaluation index system from 17 to 12 indicators.

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Modeling soil loss under rainfall events using machine learning algorithms.

J Environ Manage

February 2024

Institute of Soil and Water Conservation, Northwest A& F University, Yangling, Shaanxi, 712100, China; Anhui and Huaihe River Institute of Hydraulic Research, Hefei, 230088, China.

Soil loss is an environmental concern of global importance. Accurate simulation of soil loss in small watersheds is crucial for protecting the environment and implementing soil and water conservation measures. However, predicting soil loss while meeting the criteria of high precision, efficiency, and generalizability remains a challenge.

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Agricultural production and lifestyle are constrained by topography, causing notable under disparities in the composition, distribution, and environmental benefits of crop straw and human-livestock-poultry manure (CSHLPM) in areas with different topographic characteristics. Under the premise of the international consensus on sustainable development, it has become an objective requirement to improve the use of CSHLPM as fertilizer, and minimize the use of chemical fertilizers. Thus, an investigation was conducted to assess the difference in the quantity and composition of CSHLPM in plain, hill, and mountainous areas, taking Anhui Province of China as a case study, to evaluate the potential contribution of CSHLPM to farmland and identify the environmental benefits.

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Can ensemble machine learning be used to predict the groundwater level dynamics of farmland under future climate: a 10-year study on Huaibei Plain.

Environ Sci Pollut Res Int

June 2022

Jiangxi Irrigation Experiment Central Station, 309 Yinhe Road, Nanchang, 330201, Jiangxi, People's Republic of China.

Accurate and simple prediction of farmland groundwater level (GWL) is an important aspect of agricultural water management. A farmland GWL prediction model, GWPRE, was developed that integrates four machine learning (ML) models (support vector machine regression, random forest, multiple perceptions, and the stacking ensemble model) with weather forecasts. Based on the GWL and meteorological data of five monitoring wells (N1, N2, N3, N4, and N5) in Huaibei plain from 2010 to 2020, the feasibility of predicting GWL by meteorological factors and ML algorithm was tested.

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Low strain pile integrity testing (LSPIT), due to its simplicity and low cost, is one of the most popular NDE methods used in pile foundation construction. While performing LSPIT in the field is generally quite simple and quick, determining the integrity of the test piles by analyzing and interpreting the test signals (reflectograms) is still a manual process performed by experienced experts only. For foundation construction sites where the number of piles to be tested is large, it may take days before the expert can complete interpreting all of the piles and delivering the integrity assessment report.

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The impact-echo (IE) method is a popular non-destructive testing (NDT) technique widely used for measuring the thickness of plate-like structures and for detecting certain defects inside concrete elements or structures. However, the IE method is not effective for full condition assessment (i.e.

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