International Journal of Environmental Technology and Management最新文献

英文中文

Valacyclovir Neurotoxicity in Patients with End-Stage Renal Disease: Two Cases Reviewed. 终末期肾病患者的伐昔洛韦神经毒性：两例病例回顾。

IF 1.8 Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2024-02-01 Epub Date: 2022-09-13 DOI: 10.1177/08971900221127061

Bernadette Gublo, Amy Beth St Amand, Anupama Menon, Alissa A Scalise

Purpose: The objective of this case series is to highlight different manifestations of valacyclovir associated neurotoxicity (VAN) and demonstrate the importance of adjusting medication appropriately in patients with end-stage renal disease (ESRD) on hemodialysis to prevent these complications. Summary: Valacyclovir is a medication used to treat herpes zoster infection, commonly known as shingles. Valacyclovir is renally cleared and can accumulate in patients with renal dysfunction leading to severe side effects due to the prolonged half-life. VAN is a common adverse effect in patients with underlying kidney disease, that can be easily prevented if valacyclovir is properly dosed. This case series details the clinical outcomes of two elderly patients who were prescribed valacyclovir at six-times the recommended dose based on their renal function. Failure to reduce the dose of valacyclovir resulted in severe neurological and physical manifestations that required hospital admission and emergent hemodialysis. Conclusion: This case series details the importance of adjusting valacyclovir dose based on renal function. In patients with ESRD, the half-life of valacyclovir can be up to 14 hours, therefore hemodialysis should be utilized in severe cases of neurotoxicity to improve rapid excretion of the drug and promote rapid recovery from VAN.

目的：本病例系列旨在强调伐昔洛韦相关神经毒性（VAN）的不同表现，并说明对接受血液透析的终末期肾病（ESRD）患者适当调整药物以预防这些并发症的重要性。摘要：伐昔洛韦是一种用于治疗带状疱疹感染（俗称带状疱疹）的药物。伐昔洛韦经肾脏清除，由于半衰期延长，可在肾功能不全患者体内蓄积，导致严重的副作用。VAN是患有基础肾病的患者常见的不良反应，如果伐昔洛韦剂量适当，这种不良反应很容易预防。本系列病例详细描述了两名老年患者的临床结果，根据他们的肾功能，医生给他们开出了六倍于推荐剂量的伐昔洛韦。如果不减少伐昔洛韦的剂量，就会导致严重的神经和躯体症状，需要入院治疗并进行紧急血液透析。结论本系列病例详细说明了根据肾功能调整伐昔洛韦剂量的重要性。对于 ESRD 患者，伐昔洛韦的半衰期可长达 14 小时，因此在神经毒性严重的病例中应使用血液透析来改善药物的快速排泄，促进 VAN 的快速康复。

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引用次数: 0

An evaluation method of urban green space landscape spatial structure based on entropy weight method 基于熵权法的城市绿地景观空间结构评价方法

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134334

Zhen Li

引用次数: 0

Study on monitoring method of pollution range in scenic spots based on two-dimensional threshold method 基于二维阈值法的景区污染范围监测方法研究

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134324

Yaqi Shi

In order to overcome the problem of low accuracy of monitoring threshold extraction and pollution range monitoring in traditional pollution range monitoring methods, a new pollution range monitoring method of scenic spots based on two-dimensional threshold method is proposed in this paper. Firstly, collect satellite remote sensing data of the pollution range of scenic spots. Secondly, based on the collected data, the two-dimensional threshold method is used to extract the pollution range change threshold of scenic spots. Finally, according to the threshold extraction results, the weight coefficient of pollution range change is calculated, and the pollution range monitoring function is constructed. The output result of the function is the final monitoring result. The experimental results show that compared with the traditional pollution range monitoring method, this method can accurately monitor the pollution range of scenic spots, and the monitoring accuracy is always maintained at more than 94%.

为了克服传统污染范围监测方法中监测阈值提取和污染范围监测精度低的问题，本文提出了一种基于二维阈值法的景区污染范围监测新方法。首先，采集景区污染范围的卫星遥感数据。其次，在采集数据的基础上，采用二维阈值法提取景区污染范围变化阈值;最后，根据阈值提取结果，计算污染范围变化的权重系数，构建污染范围监测函数。该函数的输出结果就是最终的监控结果。实验结果表明，与传统的污染范围监测方法相比，该方法能够准确监测景区污染范围，监测精度始终保持在94%以上。

引用次数: 0

The simulation of ecological spatial pattern evolution of tourist attractions based on remote sensing data 基于遥感数据的旅游景区生态空间格局演化模拟

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134333

Jing Yang

引用次数: 0

An analysis of change detection in land use land cover area of remotely sensed data using supervised classifier 基于监督分类器的遥感土地利用土地覆盖面积变化检测分析

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134322

H.N. Mahendra, S. Mallikarjunaswamy

In the present work, change detection in land use and land cover (LULC) area of Chikkamagaluru district were assessed using remote sensing data and supervised classifier. Chikkamagaluru district is known for the green cover; therefore an analysis of the land use land cover of the district is the main objective of this work. The change detection of an entire Chikkamagaluru district has been carried out for the period between 2017 and 2021 by using Sentinel-2 multispectral remote sensing data. Supervised classification-based support vector machines (SVM) have been applied to assess the LULC of the study area. An experimental result shows the positive changes in vegetation cover, water bodies, and negative changes observed in bare ground and rangeland. Overall classification accuracy of the SVM was estimated to be 86.30% for 2017 and 85.36% for 2021. The performance of SVM is also compared with the other supervised classifiers such as neural networks, maximum likelihood classifier (MLC), minimum-distance-to-means, and Mahalanobis distance. The comparison results show that SVMs provide better classification results as compared to other supervised classifiers.

利用遥感数据和监督分类器对奇卡马加鲁鲁地区土地利用和土地覆盖(LULC)区域的变化检测进行了评估。Chikkamagaluru地区以绿色覆盖而闻名;因此，分析该区的土地利用和土地覆被是本工作的主要目的。2017年至2021年期间，利用Sentinel-2多光谱遥感数据对整个Chikkamagaluru地区进行了变化检测。应用基于监督分类的支持向量机(SVM)对研究区域的LULC进行评估。实验结果表明，植被覆盖度、水体呈正变化，裸地和牧场呈负变化。2017年SVM总体分类准确率为86.30%，2021年为85.36%。SVM的性能还与其他监督分类器如神经网络、最大似然分类器(MLC)、最小距离均值和马氏距离进行了比较。对比结果表明，与其他监督分类器相比，svm提供了更好的分类结果。

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引用次数: 0

Location method of garden air pollution source based on gradient lifting regression tree algorithm 基于梯度提升回归树算法的园林空气污染源定位方法

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134326

Xiang Huang, uzhen Li

引用次数: 0

Evaluation method of ecological vulnerability of scenic spots based on entropy weight TOPSIS model 基于熵权TOPSIS模型的景区生态脆弱性评价方法

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.127339

Jiong Li

In order to solve the problem of poor accuracy of traditional ecological vulnerability assessment methods, an ecological vulnerability assessment method of scenic spots based on entropy weight TOPSIS model is proposed. Firstly, it analyses the natural environment and conditions of the scenic spot, determines the ecological vulnerability evaluation index of the scenic spot, and constructs the evaluation index system through spatial principal component analysis. Then, the evaluation indexes are standardised and graded according to the ecological vulnerability index of scenic spots. Finally, the weight of ecological vulnerability index is calculated by using entropy weight TOPSIS model, and the ecological vulnerability index is determined. After building the ecological vulnerability assessment model of scenic spots, input the ecological vulnerability indicators into the model and output the assessment results. The results show that the accuracy of this method is as high as 0.98.

为解决传统生态脆弱性评价方法准确性差的问题，提出了一种基于熵权TOPSIS模型的景区生态脆弱性评价方法。首先，对景区自然环境和条件进行分析，确定景区生态脆弱性评价指标，并通过空间主成分分析构建评价指标体系。然后，根据景区生态脆弱性指数对评价指标进行标准化和分级。最后，利用熵权TOPSIS模型计算生态脆弱性指数权重，确定生态脆弱性指数。建立景区生态脆弱性评价模型后，将生态脆弱性指标输入到模型中，输出评价结果。结果表明，该方法的精度高达0.98。

引用次数: 3

An ecological health evaluation of tourist attractions based on gradient boosting decision tree 基于梯度增强决策树的旅游景区生态健康评价

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134325

Renzhong Jin

In order to overcome many problems existing in traditional evaluation methods, such as the low accuracy of the evaluation of ecological health of tourist attractions, an ecological health evaluation method of tourist attractions based on gradient boosting decision tree was proposed. The data collection framework of tourist attractions based on UAV low-altitude remote sensing is designed, the ecological health evaluation index system of tourist attractions is constructed, and information entropy and analytic hierarchy process were used to determine the combination weight. The gradient boosting decision tree algorithm is used to calculate the ecological health of tourist attractions, and multiple support vector machines are used to construct multi-classifiers to achieve ecological health evaluation. The experimental results show that the average data acquisition time of the method in this paper is 0.76 s, the error rate of the index weight calculation is between -1% and 2%, and the average evaluation accuracy rate is 97.2%.

针对传统评价方法中存在的旅游地生态健康评价准确率低等问题，提出了一种基于梯度增强决策树的旅游地生态健康评价方法。设计了基于无人机低空遥感的旅游景区数据采集框架，构建了旅游景区生态健康评价指标体系，采用信息熵法和层次分析法确定组合权重。利用梯度增强决策树算法计算旅游景区生态健康状况，利用多支持向量机构建多分类器实现旅游景区生态健康评价。实验结果表明，本文方法的平均数据采集时间为0.76 s，指标权重计算错误率在-1% ~ 2%之间，平均评价准确率为97.2%。

引用次数: 0

The temporal and spatial evolution law of construction land structure in central Yunnan urban agglomeration based on GIS 基于GIS的滇中城市群建设用地结构时空演化规律

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134328

Lede Niu, Lifang Zhou, Jingzhi Lin, Anlin Li, Yan Zhou

In order to reduce the pressure of urban construction land demand and improve the level of urban land use, this paper studies the temporal and spatial evolution of the construction land structure in the central Yunnan urban agglomeration. Firstly, ArcGIS 10.3 software was used to extract the construction land quantity of the urban agglomeration in central Yunnan, and then the standard deviation ellipse, standard distance and gravity centre migration model were used to analyse its spatial characteristics. Experiments show that the northeast direction is the most prominent direction of construction land expansion in the central Yunnan urban agglomeration, while the southeast direction shows a relatively weakening trend.

为缓解城市建设用地需求压力，提高城市土地利用水平，对滇中城市群建设用地结构的时空演变进行了研究。首先利用ArcGIS 10.3软件提取滇中城市群建设用地数量，然后利用标准差椭圆、标准距离和重心迁移模型对其空间特征进行分析。实验表明，滇中城市群建设用地扩张方向以东北方向最为突出，东南方向则呈现相对减弱趋势。

引用次数: 0

An optimisation method of urban road green space landscape layout based on leapfrog algorithm 基于跨越式算法的城市道路绿地景观布局优化方法

Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management

Pub Date : 2023-01-01 DOI: 10.1504/ijetm.2023.134323

Yuanying Li, Linlin Zheng

To improve the effect of green space landscape layout optimisation and shorten the time-consuming of view layout optimisation, this paper proposes an urban road green space landscape layout optimisation method based on leapfrog algorithm. Firstly, GIS is used to collect road landscape layout data. Then, the index weight is calculated by analytic hierarchy process. The frog-leaping algorithm is used to construct the fitness objective function and solve the fitness value. Finally, the fitness values are sorted from good to bad to judge whether the current output optimal value is the global optimal value, and the final landscape layout optimisation scheme is obtained. The experimental results show that the green space landscape layout optimisation time of this method is only 8.3 s, and the rationality of landscape layout is as high as 99.02%, which shows that this method can have a good effect of road green space landscape layout optimisation.

为了提高绿地景观布局优化的效果，缩短景观布局优化的时间，本文提出了一种基于跨越式算法的城市道路绿地景观布局优化方法。首先，利用GIS采集道路景观布局数据。然后，采用层次分析法计算指标权重。采用蛙跳算法构造适应度目标函数，求解适应度值。最后对适应度值从好到坏进行排序，判断当前输出的最优值是否为全局最优值，得到最终的景观布局优化方案。实验结果表明，该方法的绿地景观布局优化时间仅为8.3 s，景观布局的合理性高达99.02%，表明该方法能够取得较好的道路绿地景观布局优化效果。

引用次数: 0

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