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Performance of sulfate species on limestone powder concrete under low temperature pulse current
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-18 DOI: 10.1016/j.pce.2024.103850
Chenjie Wu , Lingchen Meng , Dezhi Wang , Haiwei Zhang , Long Ke , Zhipeng Ma
The leakage phenomenon of subway trains in urban subway systems can accelerate the erosion and damage of concrete structures, which has adverse effects on the safety and service life of the project. This study aims to evaluate the erosion effect of sulfate solution on concrete by simulating the low temperature pulse current conditions on subway tracks. The erosion mechanism of sulfate solution on limestone powder concrete under low temperature pulse current was revealed through macroscopic methods such as surface morphology observation, compressive strength testing, and sulfate ion content analysis. Further analysis of the degradation mechanism was conducted using SEM, porosity measurement, and microhardness testing. The results showed that pulse current promoted the migration and enrichment of SO42− towards the cathode in limestone powder concrete, forming a large amount of hydration products such as Mg(OH)2, gypsum, and ettringite, which blocked the pores. Although the impact of sulfate type on quality loss is limited, the compressive strength of all test blocks usually decreases, with a compressive strength loss rate of 22.8% for the C1 group of cubic test blocks. During the erosion process, the content of SO42− decreases with increasing depth, and there is almost no SO42− in the center of the test block. The porosity decreases with erosion depth, and the anode region is higher than the cathode. The damage caused by sulfate erosion does not differ significantly between different solutions, but the hardness of the anode is slightly higher than that of the cathode.
{"title":"Performance of sulfate species on limestone powder concrete under low temperature pulse current","authors":"Chenjie Wu ,&nbsp;Lingchen Meng ,&nbsp;Dezhi Wang ,&nbsp;Haiwei Zhang ,&nbsp;Long Ke ,&nbsp;Zhipeng Ma","doi":"10.1016/j.pce.2024.103850","DOIUrl":"10.1016/j.pce.2024.103850","url":null,"abstract":"<div><div>The leakage phenomenon of subway trains in urban subway systems can accelerate the erosion and damage of concrete structures, which has adverse effects on the safety and service life of the project. This study aims to evaluate the erosion effect of sulfate solution on concrete by simulating the low temperature pulse current conditions on subway tracks. The erosion mechanism of sulfate solution on limestone powder concrete under low temperature pulse current was revealed through macroscopic methods such as surface morphology observation, compressive strength testing, and sulfate ion content analysis. Further analysis of the degradation mechanism was conducted using SEM, porosity measurement, and microhardness testing. The results showed that pulse current promoted the migration and enrichment of SO<sub>4</sub><sup>2−</sup> towards the cathode in limestone powder concrete, forming a large amount of hydration products such as Mg(OH)<sub>2</sub>, gypsum, and ettringite, which blocked the pores. Although the impact of sulfate type on quality loss is limited, the compressive strength of all test blocks usually decreases, with a compressive strength loss rate of 22.8% for the C1 group of cubic test blocks. During the erosion process, the content of SO<sub>4</sub><sup>2−</sup> decreases with increasing depth, and there is almost no SO<sub>4</sub><sup>2−</sup> in the center of the test block. The porosity decreases with erosion depth, and the anode region is higher than the cathode. The damage caused by sulfate erosion does not differ significantly between different solutions, but the hardness of the anode is slightly higher than that of the cathode.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"138 ","pages":"Article 103850"},"PeriodicalIF":3.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the influence of biophysical factors in explaining spatial heterogeneity of LST: Insights from Brahmani-Dwarka interfluve leveraging Geodetector, GWR, and MGWR models
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-09 DOI: 10.1016/j.pce.2024.103836
Bhaskar Mandal, Kaushalendra Prakash Goswami
The present study aims to investigate variations in land use and land cover (LULC) while examining how land surface temperature (LST) and biophysical parameters in the Brahmani-Dwarka Interfluve zone change over time. It also tries to discover LST clusters and outliers and investigate how biophysical variables influence the spatially stratified heterogeneity of LST. This study introduces an innovative perspective by concentrating on the Brahmani-Dwarka Interfluve, an area characterized by stone crushing and mining operations. It employs Geodetector, Geographically Weighted Regression (GWR), and Multiscale Geographically Weighted Regression (MGWR) to thoroughly evaluate the LST heterogeneity, thereby enhancing its uniqueness. Our analysis revealed LST saw a substantial rise of 7.05 °C, equivalent to an average yearly increase of around 0.235 °C between 1991-2021. The regions primarily occupied by stone crushing and mining activities showed elevated LST values compared to other LULC categories in the years 2001, 2011, and 2021. The factor detector findings suggested that the Normalized Difference Latent Heat Index (NDLI) had the most influence in 2001 (q-value 0.39) and 2021 (q-value 0.50), whereas the Normalized Difference Moisture Index (NDMI) had the highest influence in 1991 (q-value 0.39) and 2011 (q-value 0.29). Soil-adjusted Vegetation Index (SAVI) had the most negligible influence (q-value between 0.09-0.15). The Interaction detector findings identified NDLI with NDMI (q-value 0.42) and Modified Normalized Difference Water Index (MNDWI) (q-value 0.42) in 1991, NDLI with Normalized Difference Bareness Index (NDBaI) (q-value 0.41) and MNDWI (q-value 0.41) in 2001, and NDLI with Normalized Difference Vegetation Index (NDVI) (q-value 0.56) and SAVI (q-value 0.56) in 2021 as the most influential interacting variable. In 2011, significant interactions were identified between MNDWI and NDVI (q-value 0.31), NDMI, and SAVI (q-value 0.31), among others. A comparative assessment between regression models using AICc, R2, and adjusted R2 revealed that all MGWR models performed (R2 between 0.92-0.94 & adj. R2 between 0.89-0.92) much better than GWR and Ordinary Least Square (OLS) models during the research period. The results will undoubtedly assist policymakers, environmentalists, and stakeholders by providing valuable insights for enhancing environmental management and policies.
{"title":"Evaluating the influence of biophysical factors in explaining spatial heterogeneity of LST: Insights from Brahmani-Dwarka interfluve leveraging Geodetector, GWR, and MGWR models","authors":"Bhaskar Mandal,&nbsp;Kaushalendra Prakash Goswami","doi":"10.1016/j.pce.2024.103836","DOIUrl":"10.1016/j.pce.2024.103836","url":null,"abstract":"<div><div>The present study aims to investigate variations in land use and land cover (LULC) while examining how land surface temperature (LST) and biophysical parameters in the Brahmani-Dwarka Interfluve zone change over time. It also tries to discover LST clusters and outliers and investigate how biophysical variables influence the spatially stratified heterogeneity of LST. This study introduces an innovative perspective by concentrating on the Brahmani-Dwarka Interfluve, an area characterized by stone crushing and mining operations. It employs Geodetector, Geographically Weighted Regression (GWR), and Multiscale Geographically Weighted Regression (MGWR) to thoroughly evaluate the LST heterogeneity, thereby enhancing its uniqueness. Our analysis revealed LST saw a substantial rise of 7.05 °C, equivalent to an average yearly increase of around 0.235 °C between 1991-2021. The regions primarily occupied by stone crushing and mining activities showed elevated LST values compared to other LULC categories in the years 2001, 2011, and 2021. The factor detector findings suggested that the Normalized Difference Latent Heat Index (NDLI) had the most influence in 2001 (q-value 0.39) and 2021 (q-value 0.50), whereas the Normalized Difference Moisture Index (NDMI) had the highest influence in 1991 (q-value 0.39) and 2011 (q-value 0.29). Soil-adjusted Vegetation Index (SAVI) had the most negligible influence (q-value between 0.09-0.15). The Interaction detector findings identified NDLI with NDMI (q-value 0.42) and Modified Normalized Difference Water Index (MNDWI) (q-value 0.42) in 1991, NDLI with Normalized Difference Bareness Index (NDBaI) (q-value 0.41) and MNDWI (q-value 0.41) in 2001, and NDLI with Normalized Difference Vegetation Index (NDVI) (q-value 0.56) and SAVI (q-value 0.56) in 2021 as the most influential interacting variable. In 2011, significant interactions were identified between MNDWI and NDVI (q-value 0.31), NDMI, and SAVI (q-value 0.31), among others. A comparative assessment between regression models using AICc, R<sup>2</sup>, and adjusted R<sup>2</sup> revealed that all MGWR models performed (R<sup>2</sup> between 0.92-0.94 &amp; adj. R<sup>2</sup> between 0.89-0.92) much better than GWR and Ordinary Least Square (OLS) models during the research period. The results will undoubtedly assist policymakers, environmentalists, and stakeholders by providing valuable insights for enhancing environmental management and policies.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"138 ","pages":"Article 103836"},"PeriodicalIF":3.0,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An assessment of the drainage system and waterlogging at the Silalabuhwa irrigation scheme
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-06 DOI: 10.1016/j.pce.2024.103837
Onias Chikwanda, Bright Chisadza, Canisius Mpala
This study investigates the threats posed by waterlogging and salinization to agricultural productivity at the Silalabuhwa Irrigation Scheme in Zimbabwe. To assess these threats, soil samples (n = 20) were collected from both waterlogged and non-waterlogged areas within irrigation blocks and analyzed for texture, pH, and electrical conductivity (EC). Water samples from the dam and canal were similarly analyzed for pH, turbidity, and EC. Additionally, key informant interviews provided valuable insights into the extent and causes of waterlogging, along with potential solutions. Slope analysis and mapping of waterlogged areas were conducted using topographical tools and GPS technology. The findings reveal a significant challenge, with 87.96 ha of land affected by waterlogging, which consequently reduces the available area for irrigated agriculture. Areas with non-functional drainage systems exhibited the most severe waterlogging, highlighting deteriorating infrastructure and poor water management practices as the primary culprits. To address these issues and ensure the scheme's long-term sustainability, the study proposes a multi-pronged approach including rehabilitation of irrigation infrastructure, leaching of excess salts from the soil, staff training on improved irrigation practices, and the implementation of a water-efficient irrigation system equipped with sensors to precisely control water application. By implementing these recommendations, this study aims to contribute to improved land use efficiency, enhanced crop yields at Silalabuhwa Irrigation Scheme, and ultimately, regional food security.
{"title":"An assessment of the drainage system and waterlogging at the Silalabuhwa irrigation scheme","authors":"Onias Chikwanda,&nbsp;Bright Chisadza,&nbsp;Canisius Mpala","doi":"10.1016/j.pce.2024.103837","DOIUrl":"10.1016/j.pce.2024.103837","url":null,"abstract":"<div><div>This study investigates the threats posed by waterlogging and salinization to agricultural productivity at the Silalabuhwa Irrigation Scheme in Zimbabwe. To assess these threats, soil samples (n = 20) were collected from both waterlogged and non-waterlogged areas within irrigation blocks and analyzed for texture, pH, and electrical conductivity (EC). Water samples from the dam and canal were similarly analyzed for pH, turbidity, and EC. Additionally, key informant interviews provided valuable insights into the extent and causes of waterlogging, along with potential solutions. Slope analysis and mapping of waterlogged areas were conducted using topographical tools and GPS technology. The findings reveal a significant challenge, with 87.96 ha of land affected by waterlogging, which consequently reduces the available area for irrigated agriculture. Areas with non-functional drainage systems exhibited the most severe waterlogging, highlighting deteriorating infrastructure and poor water management practices as the primary culprits. To address these issues and ensure the scheme's long-term sustainability, the study proposes a multi-pronged approach including rehabilitation of irrigation infrastructure, leaching of excess salts from the soil, staff training on improved irrigation practices, and the implementation of a water-efficient irrigation system equipped with sensors to precisely control water application. By implementing these recommendations, this study aims to contribute to improved land use efficiency, enhanced crop yields at Silalabuhwa Irrigation Scheme, and ultimately, regional food security.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"138 ","pages":"Article 103837"},"PeriodicalIF":3.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cross-modal fusion approach with multispectral, LiDAR, and SAR data for forest canopy height mapping in mountainous region 基于多光谱、LiDAR和SAR数据的山区森林冠层高度交叉融合方法
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-27 DOI: 10.1016/j.pce.2024.103819
Petar Donev , Hong Wang , Shuhong Qin , Xiuneng Li , Meng Zhang , Sisi Liu , Xin Wang
The study introduces a technique for integrating multispectral, LiDAR, and Synthetic Aperture Radar (SAR) data within a machine-learning (ML) framework. By leveraging ML models, including Random Forest (RF), Gaussian Process Regression (GPR), and k-Nearest Neighbors (k-NN), successfully provides a comprehensive methodology for mapping forest canopy height (CH) and analyzes seasonal changes from 2019 to 2023 in the mountainous region of Vodno Mountain, North Macedonia. The RF model achieved the highest accuracy (R2 = 0.91, RMSE = 1.2 m), outperforming the other models when trained with Aerial LiDAR data. The forest CH models were validated against field measurements, Aerial LiDAR, and Global Ecosystem Dynamics Investigation (GEDI) data, confirming the accuracy of the approach and showing solid correlations between predicted and observed CH values. This research is significant due to its innovative approach to forest CH modeling in a region with minimal prior studies. Integrating multi-source data enables more accurate and detailed CH mapping, essential for monitoring forest biomass and carbon stocks, detecting forest disturbances, and assessing future forest management activities.
该研究介绍了一种在机器学习(ML)框架内集成多光谱、激光雷达和合成孔径雷达(SAR)数据的技术。通过利用ML模型,包括随机森林(RF)、高斯过程回归(GPR)和k-近邻(k-NN),成功地提供了一种综合的方法来绘制森林冠层高度(CH),并分析了北马其顿沃迪诺山区2019年至2023年的季节变化。RF模型获得了最高的精度(R2 = 0.91, RMSE = 1.2 m),优于其他模型。利用野外测量、空中激光雷达和全球生态系统动力学调查(GEDI)数据对森林碳模型进行了验证,证实了该方法的准确性,并显示了预测值和观测值之间的可靠相关性。这项研究具有重要意义,因为它采用了一种创新的方法,在一个以前研究很少的地区建立森林碳模型。整合多源数据可以更准确、更详细地绘制森林生物量和碳储量图,这对于监测森林生物量和碳储量、探测森林干扰以及评估未来森林管理活动至关重要。
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引用次数: 0
Radiological hazards associated with natural radioactivity in topsoil and subsoil from Osogbo, Nigeria 尼日利亚奥索博表土和底土中与天然放射性有关的辐射危害
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-27 DOI: 10.1016/j.pce.2024.103821
Hyam Khalaf , M.A. Olaoye , Mostafa.Y.A. Mostafa , R.B. Adegbola , E.D. Muniru , Howaida Mansour
The present research used gamma-ray spectrometry to assess the amount of activity concentration for radionuclides (226Ra, 232Th and 40K). That naturally exist in samples of topsoil and subsoil in Osogbo, Osun State, Nigeria, using a sodium-iodide detector and associated radiological risk factors were estimated. The activity levels of 226Ra, 232Th and 40K are, respectively, ranges from 167.03 ± 4.37 to 1187.51 ± 178.68 Bqkg−1, 18.21 ± 23.97 to 134.79 ± 60.00 Bqkg−1 and 8.67 ± 4.80 to 188.65 ± 7.33 Bqkg−1 for subsoil, and ranges from 263.64 ± 5.39 to 3303.33 ± 14.47 Bqkg−1, 23.90 ± 32.28 to 191.05 ± 72.93 Bqkg−1 and 9.90 ± 5.90 to 129.17 ± 8.94 Bqkg−1for topsoil. According to the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), the global average activity levels for these radionuclides are 226Ra (35 Bq/kg), 232Th (30 Bq/kg), and 40K (400 Bq/kg). In the study area, the average activity levels of these radionuclides were found to be higher in subsoil compared to topsoil. The estimated average of radiological risk factors (radium activity, the absorbed dose rate, annual gonadal dose equivalent, excess lifetime cancer risk, and representative level index) are recorded, 166.52 Bq/kg, 78.62 nGy/h, 545.23 μSv/y, 0.38 and 1.21 For subsoil respectively, but for topsoil are recorded 184.39 Bq/kg, 90.39 nGy/h, 637.92 μSv/y, 0.44 and 1.40 respectively. All radiological risk factors are much greater than those reported by UNSCEAR (2000) magnitudes of 370 Bq/kg, 59 nGy/h, 300 μSv/y, 2.9 × 10-4, and 1, respectively. The results obtained reveal a high radioactivity level in the investigated area. Therefore, it is advised that the study region have regular radiation monitoring and ecological evaluations.
本研究使用伽玛射线能谱法评估放射性核素(226Ra、232Th和40K)的活度浓度。利用碘化钠探测器估计了尼日利亚奥孙州Osogbo的表土和底土样本中自然存在的碘和相关的辐射危险因素。下层土壤226Ra、232Th和40K活性水平分别为167.03±4.37 ~ 1187.51±178.68 Bqkg - 1、18.21±23.97 ~ 134.79±60.00 Bqkg - 1和8.67±4.80 ~ 188.65±7.33 Bqkg - 1,表层土壤22664±5.39 ~ 3303.33±14.47 Bqkg - 1、23.90±32.28 ~ 191.05±72.93 Bqkg - 1和9.90±5.90 ~ 129.17±8.94 Bqkg - 1。根据联合国原子辐射影响科学委员会(UNSCEAR)的数据,这些放射性核素的全球平均活度水平为226Ra (35 Bq/kg)、232Th (30 Bq/kg)和40K (400 Bq/kg)。在研究地区,发现这些放射性核素在底土中的平均活性水平高于表土。辐射危险因子(放射性活度、吸收剂量率、年性腺剂量当量、终生癌症风险和代表性水平指数)的估计平均值分别为:166.52 Bq/kg、78.62 nGy/h、545.23 μSv/y、0.38和1.21;表层土壤的辐射危险因子平均值分别为:184.39 Bq/kg、90.39 nGy/h、637.92 μSv/y、0.44和1.40。所有的辐射危险因素都远高于UNSCEAR(2000)报告的370 Bq/kg、59 nGy/h、300 μSv/y、2.9 × 10-4和1等量级。所获得的结果显示,调查地区的放射性水平很高。建议研究区定期开展辐射监测和生态评价。
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引用次数: 0
Assessment of groundwater potential zones for hard rock area of sabi river basin using an integrated approach of remote sensing, GIS and AHP techniques 基于遥感、GIS和AHP技术的沙比河流域硬岩区地下水潜力带综合评价
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-26 DOI: 10.1016/j.pce.2024.103820
Sachin L. Suryawanshi , Pradeep Kumar Singh , Mahesh Kothari , Manjeet Singh , Kamal Kishore Yadav , Trilok Gupta
The study was conducted to assess groundwater potential zones (GWPZs) for hard rock area of Sabi river basin for the sustainable development. Remote Sensing (RS) and Geographic Information System (GIS) have emerged as crucial methods in retrieval, monitoring and conserving groundwater resources were used along with Analytical Hierarchy Process (AHP) to demarcate the GWPZs. In order to assess GWP in the study area, eight thematic maps: drainage density, geomorphology, geology, rainfall, land use/land cover, lineament density, slope and soil were prepared using RS and conventional data. The AHP was applied to assign the weightages for each thematic map and its sub classes. Then, the thematic layers were overlaid using the weighted overlay analysis means of ArcGIS 10.4 to assess the GWPZ map of Sabi basin. The Sabi basin was categorized into five classes of GWPZ as very good (0.01%), good (24.72%), moderate (56.54%), poor (10.45%) and very poor (8.28%). The accuracy of produced GWPZ map was assessed with well yield data by agreement scheme using ground water prospects map and by using ROC curve analysis through R-studio software which indicates the satisfactory GWPZ map prediction accuracy. This study provides valuable database in planning and development of groundwater recharging and to delineate locations of potential artificial recharge sites in the hard rock regions and semi -arid areas so that appropriate structures could be planned and constructed to manage aquifer recharge for sustainable groundwater management in the future.
对沙璧河流域硬岩区地下水潜力区进行了可持续发展评价。遥感(RS)和地理信息系统(GIS)已成为地下水资源检索、监测和保护的重要方法,并与层次分析法(AHP)一起用于划定gwpz。为了评估研究区全球升温潜能值,利用RS和常规数据制作了8个专题图:排水密度、地貌、地质、降雨、土地利用/土地覆盖、地形密度、坡度和土壤。应用层次分析法为每个专题地图及其子类分配权重。然后,利用ArcGIS 10.4的加权叠加分析手段对主题层进行叠加,对萨比盆地GWPZ地图进行评价。将沙比盆地的GWPZ划分为“极好”(0.01%)、“好”(24.72%)、“中等”(56.54%)、“差”(10.45%)和“极差”(8.28%)5个等级。利用地下水勘探图的一致性方案和R-studio软件的ROC曲线分析,对绘制的GWPZ图的精度进行了评价,表明GWPZ图的预测精度令人满意。本研究为规划和发展地下水补给提供了有价值的数据,并为在硬岩区和半干旱区划定潜在的人工补给点位置,从而规划和建造适当的结构来管理含水层补给,实现未来地下水的可持续管理。
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引用次数: 0
Dynamic coupling coordination of territorial spatial development intensity and comprehensive disaster-carrying capability: A case study of Beijing-Tianjin-Hebei urban agglomerations, China 地域空间开发强度与综合承灾能力的动态耦合协调:中国京津冀城市群案例研究
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-23 DOI: 10.1016/j.pce.2024.103818
Wei Wang , Qianqian Guo, Pei Yang, Chenhong Xia
The effectiveness of the modernization of the governance system is significantly impacted by the interaction between the territorial spatial development intensity (TSDI) and the comprehensive disaster-carrying capacity (CDCC). It is of great significance to investigate the intrinsic interaction between the TSDI and the CDCC. Identifying the disaster risks induced by the intensity of the territorial spatial development and their constraints promotes synergistic development to cope with the uncertainty. The study explored the degree of coupling, the level of coordinated development, and the dynamic development trend between TSDI and CDCC from the perspective of coupling coordination. Beijing-Tianjin-Hebei (BTH) Region was used as a case study and it was found 1) there is a higher degree of coupling, and high correlation between TSDI and CDCC in the BTH urban agglomeration region; 2) the BTH region has the highest number of cities with coordination levels on the verge of maladjustment, followed by ones with barely coordinated cities; 3) while the overall level of coordination gradually increases, the overall deviation degree of development of TSDI and CDCC in the BTH urban agglomeration region is gradually decreasing; 4) there is an interactive coercion relationship between TSDI and CDCC in the BTH urban agglomeration region. This study may help provide a decision-making basis for the BTH urban agglomeration on improving the pertinence of urban disaster prevention and mitigation construction, adjusting the spatial structure of the national territory, and promoting the coordinated development of different cities. Moreover, technical support and theoretical guidance for similar regions was also developed to assess the land suitability, establish an integrated defense system of the national territory and space, and exercise resilient city planning.
国土空间开发强度(TSDI)与综合承灾能力(CDCC)之间的互动关系对治理体系现代化的成效有着重要影响。研究国土空间开发强度(TSDI)与综合承灾能力(CDCC)之间的内在互动关系具有重要意义。明确地域空间开发强度及其制约因素所诱发的灾害风险,可促进协同发展,应对不确定性。研究从耦合协调的角度探讨了TSDI与CDCC的耦合程度、协调发展水平和动态发展趋势。以京津冀(BTH)地区为例,研究发现:1)京津冀城市群地区的耦合度较高,TSDI 与 CDCC 的相关性较高;2)京津冀地区协调水平濒临失调的城市数量最多,其次是勉强协调的城市;3)在总体协调水平逐渐提高的同时,BTH 城市群地区 TSDI 和 CDCC 发展的总体偏离度逐渐减小;4)BTH 城市群地区的 TSDI 和 CDCC 之间存在交互强制关系。本研究有助于为 BTH 城市群提高城市防灾减灾建设的针对性、调整国土空间结构、促进不同城市协调发展提供决策依据。同时,也为同类地区开展土地适宜性评价、建立国土空间综合防御体系、开展弹性城市规划提供技术支持和理论指导。
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引用次数: 0
Improvability of quality main indices of a marl soil using endemic microorganisms 利用当地微生物改善泥灰岩土壤的主要质量指标
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-16 DOI: 10.1016/j.pce.2024.103812
Atefeh Jafarpoor , Seyed Hamidreza Sadeghi , Mehdi Homaee , Behrouz Zarei Darki
Biological soil crusts are essential for ecosystem productivity in arid and semiarid regions, where cyanobacteria (Cy) and bacteria (Ba) are pivotal. These microorganisms enhance nutritional conditions, soil stability, soil fertility, and forage quality through the secretion of polysaccharides. However, there is a lack of comprehensive quantitative studies addressing the changes in soil's physical and chemical properties. This research investigated the impact of individual and combined inoculations of Cy and Ba on the rangeland quality of low-quality soil in the Marzanabad region. The indicators of soil quality assessed included carbon (C) content, nitrogen (N) levels, C/N ratio, soil-available phosphorus (P), and aggregate stability. The findings indicated that microbial inoculation significantly (p < 0.01) affected N concentration, available P, and aggregate stability. Additionally, the individual and combined treatments of Cy and Ba resulted in increases in C content of 57.14%, 297.14%, and 120%, respectively, compared to the control. The N concentration in these treatments was 150%, 37.50%, and 325% higher than that of the control soil. In terms of absorbable P, increases of 105.48%, 6.54%, and 39.57% were observed compared to the control conditions. Furthermore, the superficial inoculation of microorganisms enhanced aggregation adhesion, with stability in the individual and combined Cy and Ba treatments increasing by 29.20%, 61.65%, and 42.11%, respectively, relative to the control treatment. The results of this study suggest that utilizing soil microorganisms to restore plant cover in arid and semiarid regions is a viable strategy.
生物土壤板结对干旱和半干旱地区生态系统的生产力至关重要,其中蓝藻(Cy)和细菌(Ba)起着举足轻重的作用。这些微生物通过分泌多糖来改善营养条件、土壤稳定性、土壤肥力和饲料质量。然而,目前还缺乏针对土壤物理和化学性质变化的全面定量研究。本研究调查了单独或联合接种 Cy 和 Ba 对马尔扎纳巴德地区低质土壤牧场质量的影响。评估的土壤质量指标包括碳(C)含量、氮(N)含量、碳/氮比、土壤可利用磷(P)含量和团粒稳定性。研究结果表明,微生物接种对氮浓度、可利用磷和团粒稳定性有显著影响(p < 0.01)。此外,与对照组相比,Cy 和 Ba 的单独和组合处理使 C 含量分别增加了 57.14%、297.14% 和 120%。这些处理中的氮浓度分别比对照土壤高出 150%、37.50% 和 325%。在可吸收钾方面,与对照相比分别增加了 105.48%、6.54% 和 39.57%。此外,微生物的表层接种增强了聚集粘附力,与对照处理相比,单独处理以及 Cy 和 Ba 组合处理的稳定性分别提高了 29.20%、61.65% 和 42.11%。研究结果表明,利用土壤微生物恢复干旱和半干旱地区的植被是一种可行的策略。
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引用次数: 0
Development of multi-objective Harris hawks optimization (MOHHO) algorithm in low-impact development systems considering the effects of climate change 在考虑气候变化影响的低影响开发系统中开发多目标哈里斯鹰优化(MOHHO)算法
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-16 DOI: 10.1016/j.pce.2024.103816
Manizheh Pourali Dougaheh , Parisa-Sadat Ashofteh
In this research, to control and manage basin runoff by using Low-Impact Development (LID) systems in climate change conditions, a simulator-optimizer model is developed using the SWMM model and the MOHHO algorithm. Four LIDs of vegetative swale, bio-retention cell, permeable pavement, and infiltration trench have been used. Therefore, the areas of LIDs are determined in the sub-basins of Zone 1 and 3 of Tehran Municipality for the periods of the baseline (1988–2005), the near future (2030–2047), and the far future (2048–2065), with the objectives of (1) minimizing the cost of implementing and maintaining LIDs, (2) minimizing the amount of outflow runoff of the basin. In this research, the future rainfall under three emission scenarios RCP2.6, RCP4.5, and RCP8.5 has been simulated. By comparing the convergence diagram of MOHHO with the NSGAII algorithm, it was observed that the MOHHO has more dispersion of solutions and less run-time. Finally, with the help of this model, optimal management solutions were obtained in the form of the Pareto front. The results show that the flood volume was reduced by 50% on average compared to not using the system, considering the objective function of minimizing the outflow flood volume of the basin. But this value is reduced by 30% by giving importance to the second objective function, which is to minimize costs. Finally, due to the reduction of cost and economic efficiency, the implementation and use of these systems can be justified and have a significant effect in reducing the problems of the region.
为了在气候变化条件下利用低影响开发(LID)系统控制和管理流域径流,本研究利用 SWMM 模型和 MOHHO 算法开发了一个模拟器-优化器模型。模型采用了植被沼泽、生物滞留池、透水路面和渗透沟渠四种低影响开发方式。因此,确定了德黑兰市 1 区和 3 区子流域在基准期(1988-2005 年)、近期(2030-2047 年)和远期(2048-2065 年)的 LIDs 面积,其目标是:(1)最大限度地降低 LIDs 的实施和维护成本;(2)最大限度地降低流域的外流径流量。本研究模拟了 RCP2.6、RCP4.5 和 RCP8.5 三种排放情景下的未来降雨量。通过比较 MOHHO 算法与 NSGAII 算法的收敛图,发现 MOHHO 算法的解更分散,运行时间更短。最后,在该模型的帮助下,得到了帕累托前沿形式的最优管理方案。结果表明,与不使用该系统相比,考虑到目标函数是使流域的出流洪水量最小化,洪水量平均减少了 50%。但是,如果重视第二个目标函数,即最大限度地降低成本,这一数值会降低 30%。最后,由于成本的降低和经济效益的提高,这些系统的实施和使用是合理的,对减少该地区的问题具有显著效果。
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引用次数: 0
Adsorption of hexavalent chromium from wastewater using magnetic biochar derived from peanut hulls 利用花生壳提取的磁性生物炭吸附废水中的六价铬
IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-16 DOI: 10.1016/j.pce.2024.103815
Lehlogonolo Tabana, Annita Kupa, Shepherd Tichapondwa
In this study, the utilization of peanut hulls as a precursor for the preparation of magnetic biochar through pyrolysis was investigated. To enhance the magnetic and adsorption properties of the biochar, the peanut hulls biomass was modified using ferric chloride hexahydrate and magnesium chloride hexahydrate. Response surface methodology was employed to evaluate the influence of biomass metal concentration, pyrolysis temperature, pyrolysis period and flow of nitrogen on the yield and Cr (VI) adsorption efficiency of the synthesized biochar. A 17-run experimental matrix was generated using Optimal Design to investigate the interactions among four input parameters. The results led to the development of a quadratic model, which demonstrated a high degree of predictability in accordance with the experimental data. Analysis of variance (ANOVA) confirmed that the models for yield and Cr (VI) adsorption efficiency were highly significant (p < 0.05), with coefficients of determination (R2) values of 0.891 and 0.988, respectively. The optimal synthesis conditions for producing biochar with superior physicochemical properties were identified as a pyrolysis temperature of 300 °C, a pyrolysis duration of 2 h, a metal-to-biomass ratio of 0.5, and a constant flow of nitrogen. A desirability of 85% was achieved through numerical optimization, corresponding to a yield of 63% and complete Cr (VI) removal. Further optimization of Cr (VI) adsorption efficiency, considering the effects of pH (3–12), adsorbent loading (1–15 g/L), and initial Cr (VI) concentration (5–20 mg/L), was performed using a 19-run experimental matrix. ANOVA for Cr (VI) adsorption efficiency model revealed high significance (p < 0.05) with an R2 value of 0.916.
The magnetic biochar demonstrated a remarkable adsorption efficiency of 98% under the experimental conditions of solution pH 3, adsorbent dosage of 5 g/L, and an initial Cr (VI) concentration of 20 mg/L. The desirability of 100% was obtained by a numerical optimization method representing Cr (VI) removal of 98%. The adsorption behaviour was adequately described by the Freundlich isotherm model, suggesting multilayer adsorption, with a maximum adsorption capacity of 12 mg/g. Biochar also proved to have strong magnetic properties which enhanced solid-liquid separation post adsorption experiments.
本研究探讨了如何利用花生壳作为前体,通过热解制备磁性生物炭。为了增强生物炭的磁性和吸附性,使用六水氯化铁和六水氯化镁对花生壳生物质进行了改性。采用响应面方法评估了生物质金属浓度、热解温度、热解周期和氮气流量对合成生物炭产量和六(Cr)吸附效率的影响。利用优化设计生成了一个 17 次运行的实验矩阵,以研究四个输入参数之间的相互作用。结果建立了一个二次方模型,该模型与实验数据相符,具有很高的可预测性。方差分析(ANOVA)证实,产量和 Cr (VI) 吸附效率模型非常显著(p < 0.05),决定系数(R2)分别为 0.891 和 0.988。为生产具有优异物理化学特性的生物炭,确定了最佳合成条件:热解温度为 300 °C,热解持续时间为 2 小时,金属与生物质比率为 0.5,氮气流量恒定。通过数值优化,达到了 85% 的理想值,相当于 63% 的产率和完全去除 Cr (VI)。考虑到 pH 值(3-12)、吸附剂负载量(1-15 克/升)和初始六价铬浓度(5-20 毫克/升)的影响,使用 19 次实验矩阵对六价铬吸附效率进行了进一步优化。在溶液 pH 值为 3、吸附剂用量为 5 g/L、初始 Cr (VI) 浓度为 20 mg/L 的实验条件下,磁性生物炭的吸附效率高达 98%。通过数值优化方法获得了 100%的理想值,代表铬(VI)的去除率为 98%。吸附行为由 Freundlich 等温线模型充分描述,表明存在多层吸附,最大吸附容量为 12 毫克/克。生物炭还被证明具有很强的磁性,这增强了吸附实验后的固液分离效果。
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Physics and Chemistry of the Earth
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