Search Results (1,480)

Settlements are the fundamental structural components of the Northwest and Southwest Routes, which were important defensive sectors of the Jin Dynasty’s Great Wall defense system. Under the Jurchen rule, these villages function as special conduits for investigating border defense tactics. However, historical document analysis is the main method used in present study on the Northwest and Southwest Roads, and comprehensive quantitative empirical data about the geographical organization of settlements are absent. As a result, research on the unique defense tactics of the Jin Dynasty is still not fully understood. This study establishes a dual “historical-spatial” analytical paradigm by examining settlement remnants from the Northwest and Southwest Roads in modern-day Inner Mongolia. In order to thoroughly examine defensive tactics within their distinct historical and geographical settings, it clarifies the building procedures, spatial distribution, and site selection features of these settlements using a combination of qualitative and quantitative methodologies. The results show: (1) The Southwest Road defense zone was continuously reinforced, whereas the Northwest Road defense zone steadily shrank inward from the standpoint of settlement construction. This illustrates how the Jin Dynasty’s macro-level defensive strategy changed from “military deterrence” to “tactical defense”. (2) In terms of military administration systems, ethnic composition differences and settlement defense functions were the main factors influencing the settlement patterns formed in the Northwest and Southwest Roads. (3) In terms of spatial distribution and site selection features, the Zhaotaosi settlements functioned as the core settlements integrating “command-troop garrison-combat operations,” in contrast to the conventional method of using the highest-level settlement as the rear command center. Full article

Pine wilt disease (PWD) is one of the fastest-spreading invasive forest pathogens worldwide, causing rapid mortality of infected trees and posing a severe threat to global forest ecosystem security and carbon sink capacity. However, the spatial dynamics and diffusion characteristics of PWD at the stand scale remain poorly understood. In this study, we selected a typical epidemic area in Qingyuan County, Liaoning Province, China, as the study site. By integrating 23 phases of unmanned aerial vehicle (UAV) multispectral imagery, airborne LiDAR data, and field survey observations, we reconstructed the spatiotemporal diffusion process of PWD from 2023 to 2025 and developed a stand-scale, tree-level mortality risk prediction model. Our results show that 50% of transmission events occurred within 17.2 m, and the spatial autocorrelation range was approximately 28 m. The peak of the lethal latency period occurred 17 days after infection, with 40% of mortality events occurring within 11–22 days and 50% of infected trees dying within 40 days. The latency period was significantly shorter in spring and summer than in winter ($p<0.01$). Among tree-level mortality risk prediction approaches, the random forest model performed best, improving overall accuracy by more than 15% compared with other methods and correctly identifying 98.6% of high-risk individuals. The distance to the nearest infected or dead tree was identified as the dominant predictor, followed by tree height and vegetation parameters reflecting host physiological status. This study reveals the spatial diffusion characteristics of PWD at the stand scale and proposes a tree-level risk prediction framework, providing a theoretical foundation and technical support for dynamic monitoring, early warning, and precision management of PWD. Full article

Deep well injection and storage (DWIS) technology provides an effective alternative to address the high cost, energy intensity, and limited scalability of conventional treatments for high-salinity mine water from coal mines. However, the absence of a dedicated site suitability evaluation framework remains a major gap. Unlike previous approaches that directly applied CO₂ storage criteria, this study refines and restructures the framework based on a systematic analysis of the fundamental differences in mechanisms and risk characteristics unique to mine water storage. Building on the experience of CO₂ geological storage assessment, this study analyzes the key differences in fluid properties and storage mechanisms between water and CO₂ and, for the first time, establishes a comprehensive site suitability evaluation framework for mine water geological storage. The framework integrates three main dimensions—stability and safety, effectiveness, and socio-economic factors—covering 80 key parameters. The indicator system is organized hierarchically at the basin, target-area, and site levels, and incorporates a multi-scale weight adaptation mechanism that assigns scale-dependent weights to the most influential indicators at each evaluation level. An innovative evaluation methodology combining a “one-vote veto” mechanism, progressive filtering, and multi-factor weighted superposition is proposed to determine storage suitability. This work fills a critical research gap in systematic site selection for deep mine water storage in China. It offers theoretical guidance and an engineering paradigm for overcoming technological bottlenecks in high-salinity water treatment, enabling efficient and low-carbon disposal. The study has important implications for promoting the green transformation of the mining industry and achieving national carbon peaking and neutrality goals. Full article

Assessing the extent and magnitude of wildlife impact on forest regeneration (e.g., % browsed seedlings or reduction in regeneration density) remains a central challenge. This study explores the potential of unmanned aircraft systems (UAS) to quantify wildlife impact through the integration of drone-based thermal surveys and vegetation assessments. Specifically, it evaluates whether UAS-derived wildlife density estimates can be linked to browsing intensity and regeneration structure, thereby enabling an indirect assessment of silviculturally relevant forest dynamics. By combining remotely sensed wildlife data with field-based vegetation inventories, the study aims to identify measurable relationships between structural forest characteristics and browsing effects. This approach contributes to the development of spatially efficient, objective, and reproducible monitoring methods at the forest–wildlife interface. Ultimately, the study provides a novel framework for integrating modern remote sensing technologies into wildlife–ecological monitoring and for improving adaptive, evidence-based management in forest ecosystems increasingly affected by high ungulate densities and climate-related stressors. Two silviculturally contrasting study areas were selected: a broadleaf-dominated mixed forest in Hesse, where high ungulate densities were expected, and a pine-dominated site in Brandenburg, anticipated to experience lower browsing pressure. Thermal surveys were conducted using a DJI Matrice 30T drone equipped with a high-resolution infrared camera to detect and geolocate wildlife. In parallel, browsing impact was assessed using a modified circular transect method (“Neuzeller method”). Regeneration was recorded by tree species, height class, and browsing intensity. Statistical analyses and GIS-based spatial visualizations were used to examine the relationship between estimated ungulate densities and browsing levels. Results revealed clear differences in wildlife abundance and browsing intensity between the two sites. In the Heppenheim forest, roe deer densities exceeded 40 individuals per 100 ha, correlating with high browsing pressure—particularly on ecologically and silviculturally valuable species such as sycamore maple and sessile oak. In contrast, the Rochauer Heide exhibited lower densities and a comparatively moderate browsing impact, although certain tree species still showed signs of selective pressure. This study demonstrates that drone-based wildlife monitoring offers an innovative, non-invasive means to indirectly evaluate forest structural conditions in regeneration layers. The findings highlight the relevance of UAV-supported methods for evidence-based wildlife management and the adaptive planning of silvicultural measures. The method enhances transparency and spatial resolution in forest–wildlife management and supports evidence-based decision-making in times of ecological and climatic change. Full article

Elevated levels of total ammonia nitrogen (TAN) are recognized as a primary contributor to acute toxicity in aquatic organisms across freshwater aquaculture and mariculture environments. Existing technologies for TAN removal from wastewater are constrained by complex processes, high energy consumption, and an inability to meet discharge standards in a single step. Conventional electrochemical routes often over-oxidize TAN to nitrate, which undermines the goal of achieving truly harmless wastewater. Herein, we use a three-dimensional (3D) electrochemical system packed with particulate electrodes to realize the “TAN to N₂” in one step. The design exploits a synergistic mechanism in which anodic ·OH and HClO cooperatively oxidize TAN while cathodic sites concurrently reduce nitrate nitrogen, turning NH₄⁺ directly to N₂ without nitrate accumulation. The 3D electrochemical system is particularly suitable for marine aquaculture wastewater, especially when addressing the low TAN concentration characteristic. Results show that the 3D system increased N₂ selectivity from 67.90% to 92.06% while stabilizing wastewater pH within a mildly alkaline window. The system operates in situ, enabling direct recycle of culture water and offering a new technological paradigm for harmless, on-site treatment and resource recovery from mariculture wastewater. Full article

Yongshan County in northeastern Yunnan Province is a frequent geological hazard zone. Based on previous detailed geological hazard surveys, the county contains 455 landslide hazard sites, primarily distributed in the western and northern regions. Influenced by multiple factors including rainfall, earthquakes, human activities, and reservoir water storage, it is challenging to evaluate their development using a single indicator. Therefore, there is an urgent need to conduct landslide susceptibility assessments that integrate deformation rate characteristics. However, existing studies in this region have only considered static spatial factors such as slope aspect, elevation, and lithology. Traditional landslide susceptibility assessments often struggle to balance zoning accuracy with timeliness, leading to biased results and limited update efficiency. This study employs SBAS-InSAR technology to capture surface deformation rates and utilizes machine learning models to partition landslide susceptibility distribution maps. It innovatively introduces an RFE-RF-XGBoost model to reduce partitioning errors and enhance the accuracy of landslide susceptibility mapping. Experiments utilized 147 Sentinel-1A and 14 LT-1 scenes. Through five-fold cross-validation, 13 influencing factors were selected. The RFE-RF-XGBoost model was trained via hyperparameter optimization and compared against four conventional models (CatBoost, LightGBM, XGBoost, RF). After validating the predictive performance of different models via ROC curves, the prediction results at each level were analyzed using Accuracy, Precision, Recall, and F1 metrics. Results indicate that all five machine learning models demonstrate effective zoning capabilities. Among them, the RFE-RF-XGBoost model achieves optimal mapping performance. Compared to the other four models, it reduces the proportion of low-risk zones by 2–4% while increasing the proportion of extremely high-risk zones by approximately 2–12%, with an AUC value reaching around 0.95. Field investigations further validated that this approach enhances landslide interpretation accuracy by integrating SBAS-InSAR technology with remote sensing techniques. Full article

Construction sites require integrated monitoring of equipment and structural safety. This study systematically compares four feature enhancement mechanisms at the YOLOv11n backbone–neck transition: HFE-YOLO (hybrid multi-attention), FPN-YOLO (feature pyramid), C2F-YOLO (cross-stage partial), and Identity-YOLO (baseline). Evaluation utilized two datasets with contrasting class distributions: ConstructSight (eight equipment classes, severe imbalance) and SafeGuard (five safety classes, balanced distribution). All models were trained for 200 epochs using identical configurations to ensure controlled comparison. On the imbalanced CS dataset, HFE-YOLO achieves superior performance (95.0% mAP@50, 82.6% mAP@50–95), followed by FPN-YOLO (94.8%, 82.4%), Identity-YOLO (92.5%, 74.4%), and C2F-YOLO (92.4%, 72.1%). On the balanced SG dataset, performance differences compress substantially: HFE-YOLO (96.8%, 79.4%), C2F-YOLO (96.6%, 78.2%), Identity-YOLO (96.3%, 78.1%), and FPN-YOLO (96.1%, 76.1%). HFE-YOLO provides 8.2 percentage points mAP@50–95 improvement over the baseline on imbalanced data versus 1.3 percentage points on balanced data. Enhancement mechanism effectiveness varies substantially between dataset distributions, with sophisticated mechanisms providing greater benefits for imbalanced scenarios. These findings offer insights for architecture selection based on dataset distribution characteristics. Full article

Mountainous traditional villages represent unique socio-ecological systems that have evolved through centuries of adaptation to complex topographies and multi-hazard environments. Understanding their terrain–resilience coupling mechanisms is essential for risk-sensitive planning and heritage preservation in mountainous regions. This study integrates multi-source remote sensing data and GIS spatial analysis to investigate 57 national-level traditional villages in the southern Qinba Mountains, China. Using kernel density estimation (KDE), nearest neighbor index (NNI), and Geodetector modeling, we identify the spatial distribution characteristics and topographic driving forces that shape settlement patterns across macro-meso-micro scales. Results reveal that 83% of the villages are clustered in low-mountain and hilly zones (550–1200 m elevation), preferring slopes below 15° and south-facing aspects. Elevation exerts the strongest influence (q = 0.46), followed by slope (q = 0.32) and aspect (q = 0.29), forming a multi-level adaptation framework of “macro-elevation differentiation, meso-slope constraint, and micro-aspect optimization.” Morphological Spatial Pattern Analysis (MSPA) further indicates that traditional villages achieve ecological balance and disaster avoidance through adaptive spatial strategies such as terrace-based flood prevention, convex-bank stabilization, and platform-based hazard avoidance. These strategies are not merely topographic preferences but natural adaptation mechanisms formed by long-term responses to multi-hazard environments—dynamic adaptation processes that reduce disaster exposure and optimize resource use efficiency through active adjustment of site selection and spatial transformation (the disaster density in the 100m core zone buffer is 0.077 events/km², significantly lower than 0.290 events/km² in peripheral areas). These findings demonstrate that remote sensing techniques can effectively reveal the terrain–resilience coupling of traditional villages, providing quantitative evidence for integrating spatial resilience into cultural landscape conservation, ecological security assessment, and rural revitalization planning. The proposed multi-scale analytical framework offers a transferable approach for evaluating settlement adaptability and resilience in other mountainous cultural heritage regions worldwide. Full article

Background/Objectives: Complex aneurysms of the posterior inferior cerebellar artery (PICA) remain challenging because of their deep location, variable morphology, and proximity to critical neurovascular structures. Although endovascular therapy is preferred, its feasibility is limited in wide-necked, fusiform, or dissecting lesions. We describe our tertiary referral hospital single-center experience with tailored microsurgical and endovascular strategies—emphasizing occipital artery–PICA (OA-PICA) bypass, transcondylar fossa craniotomy, and cerebellomedullary fissure opening—and analyze perioperative factors that influence outcome. Methods: All consecutive patients treated for PICA origin or distal-PICA aneurysms between January 2021 and April 2025 were retrospectively reviewed. Demographics, aneurysm characteristics, procedure type, antithrombotic regimen, complications, diffusion-weighted MRI findings, and 3-month modified Rankin Scale scores were collected. Results: Twelve aneurysms (mean age 61.4 ± 15.2 years; 8 women) were treated: trapping + OA-PICA bypass in 5, direct clipping in 2, flow diverter in 1, endovascular parent artery occlusion in 2, coil embolization in 1, and a hybrid bypass-plus-coil strategy in 1. Two cases were ruptured aneurysms. Perioperative aspirin was used in 2/5 bypass cases; heparin was added in one hybrid case. Asymptomatic PICA-territory infarcts occurred in the three bypasses performed without antiplatelet therapy (one with intra-anastomotic thrombus). No leaks or subcutaneous collections of cerebrospinal fluid were encountered, and no graft occlusions were observed. At 3 months, 9/12 patients achieved a good outcome (mRS 0–2); among them, only one patient with subarachnoid hemorrhage (SAH) experienced postoperative worsening of the mRS. Two cranial nerve palsies (one permanent, one transient) and one wound site hematoma (heparin-associated) resolved without sequelae. Conclusions: Meticulous operative planning allows safe treatment of complex PICA aneurysms. Perioperative aspirin appears beneficial for OA-PICA bypass, whereas perioperative heparin increases bleeding risk. Individualized selection of endovascular, microsurgical, or combined strategies yields favorable early neurological outcomes in this demanding subset of cerebrovascular disease. Full article

Through research on the effects of soil and meteorological factors on poplar wood properties, poplar clones with enhanced cold tolerance, drought resistance, and salt–alkali tolerance were selected for large-scale cultivation in the Western Songnen Plain, Northern China. We evaluated wood physical properties (basic density) and anatomical characteristics (annual ring width—RW, vessel number—CNO, vessel lumen area—LA) of 15-year-old Populus simonii × P. nigra, Populus alba × P. berolinensis, P. euramericana N3016 × P. ussuriensis, and Populus pseudo-cathayana × P. deltodides clones in the typical black soil area and saline–alkali land. The results showed that black soil region was more suitable for poplar growth, which was influenced by both soil and meteorological factors. Among soil factors, pH was the primary factor influencing the radial growth of poplar clones, exhibiting a negative correlation for all clones except P. alba × P. berolinensis. Furthermore, P. euramericana N3016 × P. ussuriensis was affected by organic carbon, while P. simonii × P. nigra and P. alba × P. berolinensis were more influenced by potassium. Among climatic factors, basic wood density, annual ring characteristics, and vessel structural parameters in all clones were primarily influenced by wind speed and sunshine, with air temperature having the least effect. Among the four clones, P. alba × P. berolinensis displayed better growth performance (higher RW) and basic wood density (0.29–0.41 g/cm³) at both sites, while P. simonii × P. nigra proved suitable for cold regions. Both clones showing dual adaptability to saline–alkali and black soil environments in Northeast China. Full article

Traffic safety is a fundamental element of urban mobility, and speed bumps remain one of the most widely used measures for reducing vehicle speeds on local streets. This study investigates how different types of speed bumps influence traffic flow speed in the City of Zagreb, Croatia. A total of 208 locations were surveyed across all city districts, where geometric characteristics, regulatory compliance, and local contextual features were recorded. In addition, UAV monitoring was conducted at eight representative sites, capturing 906 vehicle trajectories and enabling the extraction of speed profiles at two measurement points per location, together with vehicle classification. This combined approach—integrating UAV-based speed tracking with a detailed geometric compliance assessment—provides a novel and reproducible methodological framework for evaluating vertical traffic-calming measures under real operating conditions. The results show substantial differences in performance between bump types. Raised platforms reduced vehicle speeds by up to 53%, while narrow platforms achieved reductions of up to 49%. In contrast, modular rubber elements exhibited noticeably weaker performance, particularly for heavy vehicles. These findings differ from previous research that has primarily focused on single bump types or limited samples and reported mixed effectiveness depending on height and material. The reductions observed in this study are operationally relevant, as they indicate which bump designs reliably maintain speeds below the 40 km/h safety threshold required on residential streets and around schools. By linking bump geometry and compliance with actual driver behaviour, this study offers a practical and transferable framework that can support urban traffic-safety planning, standardization of vertical calming devices, and improved selection of appropriate measures for mixed-traffic urban environments. Full article

Neuroendocrine tumors (NETs) are heterogeneous neoplasms with different molecular characteristics and prognosis. Although slow-growing, NETs are often diagnosed at an advanced stage. The treatment choice depends on primary site, extent, grade, growth rate, somatostatin receptor status, functional status, performance status, and comorbidities. Precise knowledge of the biological and molecular features of NETs has led to the development of novel therapies. Therapeutic options include somatostatin analogs, multi-targeted tyrosine kinase inhibitors (e.g., sunitinib), or mammalian targets of rapamycin (mTOR) inhibitors (e.g., everolimus), telotristat ethyl, chemotherapy, and peptide-receptor radionuclide therapy. Pivotal studies that led to approval, treatment-related adverse events, and safety concerns, as demonstrated in clinical trials and real-world clinical practice. Questions, such as the optimal timing, selection, and sequence of therapies, and biomarkers that predict response to the novel agents in an individual patient, remain to be answered. We propose a stepwise approach for the management of advanced Gastro-entero-pancreatic (GEP)-NETs that utilizes a multidisciplinary team of experts. Biomarkers may assist in both the diagnosis and post-treatment follow-up in patients with GEP-NETs. The next decade of research on GEP-NETs is promising and should provide new insights into the molecular underpinnings of this disease, therapy selection, and the sequencing of the available therapies, along with the potential role of AL in NET pharmacotherapy. Full article

Introduction/Background: Treatment of localized prostate cancer includes radical prostatectomy (RP) with or without pelvic lymph node dissection (PLND). While multiple guidelines recommend PLND for staging purposes, recent data has shown questionable therapeutic benefit. Thus, understanding the morbidity associated with PLND is important for counseling patients. We used the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) targeted prostatectomy database to quantify real-world 30-day postoperative outcomes of patients undergoing contemporary robot-assisted PLND at the time of RP for prostate cancer to quantify the incremental morbidity. Methods: We conducted a retrospective cohort study using the NSQIP database of adult patients undergoing radical prostatectomy from 2019 to 2022. The primary outcomes were procedure-specific outcomes such as lymphocele and rectal injury. Secondary outcomes included a composite of any of the following 30-day major postoperative outcomes: mortality, reoperation, cardiac or neurologic event, as well as the individual components of this outcome, as well as infectious and other complications. We also analyzed yearly trends associated with PLND. Groups were balanced using propensity score matching (PSM) with a 1:1 ratio using demographic characteristics, prior medical history, and cancer staging data. Likelihood of complications was assessed by conditional logistic regression. Results: We identified 13,413 patients between 2019 and 2022 who underwent robotic prostatectomy: 11,341 (85%) had PLND while 2072 (15%) did not. After PSM, our cohort included 2071 matched pairs of patients with and without PLND. Patients who underwent PLND were more likely to be diagnosed with lymphocele (2.14% vs. 0.68%, OR 4.17; 95% CI 2.00, 8.68), have unplanned readmission (4.22% vs. 3.27%, OR 1.31; 95% CI 1.03, 1.65), and develop organ-site/space SSI (1.18% vs. 0.60%) (OR 1.97, 95% CI 1.20, 3.23). There was no significant association between the receipt of PLND and the likelihood of urinary leak or fistula, or ureteral obstruction. There were no significant differences between the two groups with respect to secondary outcomes of interest. Conclusion: Contemporary robotic PLND is associated with a 3-fold increased likelihood of lymphocele, as well as increased likelihood of unplanned readmission and organ-site SSI, though no significant differences in major postoperative complications were identified. We found that the odds of lymphoceles, readmission, and SSI in our study are lower than previously reported. These data provide real-world data to guide patient counseling and optimize patient selection for PLND at the time of RALP. Full article

Background/Objectives: Salivary stones, also known as sialoliths, are calcified structures that develop within the salivary glands and/or their ducts. They occur in approximately 1 per 10,000 to 30,000 individuals per year, primarily affecting adults between 30 and 50 years of age. Although several hypotheses have been proposed, the exact mechanisms of formation and their predisposing factors are yet to be confirmed. The submandibular gland is the most commonly affected site, accounting for nearly 80% of cases, while giant and asymptomatic sialoliths are rare clinical findings in dental practice. This study is divided into two components: first, a case report of a giant, asymptomatic sialolith located in Wharton’s duct; second, a systematic review of the literature to explore the clinical procedures, diagnoses, outcomes, and other relevant aspects of this pathology. Methods: The case involved a 42-year-old woman who sought dental care due to the presence of a painless sublingual swelling. Intraoral examination and imaging revealed a calcified mass consistent with sialolithiasis in Wharton’s duct. The stone was successfully removed via sialolithotomy. For the systematic review, an extensive search was conducted in PubMed, Embase, and Cochrane Library up to June 2025, using specific keywords. Initially, 262 studies were identified. After applying inclusion and exclusion criteria, six case reports were included in the final analysis. Results: All selected studies described giant salivary stones located in Wharton’s duct and/or the parenchyma of the submandibular gland, notably without associated pain. Computed tomography and ultrasonography were the most commonly used imaging modalities for diagnosis. In all cases, the primary treatment was sialolithotomy. Conclusions: This study explored a rare case report of an asymptomatic giant sialolith in Wharton’s duct, and it includes a systematic review focused exclusively on asymptomatic giant sialoliths. It specifically addresses key characteristics, preferred imaging modalities, treatment strategies, and clinical considerations for managing this uncommon condition. Registration number: Prospero registration nº CRD420251076737. Full article

This study systematically investigates settlement sites that record living patterns of ancient humans, aiming to reveal the interactive mechanisms of human–environment relationships. The core issues of landscape archeology research are the surface spatial structure, human spatial cognition, and social practice activities. This article takes the Han Dynasty settlement site in Sanyangzhuang, Neihuang County, Anyang City, Henan Province, as a typical case. It comprehensively uses ArcGIS 10.8 spatial analysis and remote sensing image interpretation techniques to construct spatial distribution models of elevation, slope, and aspect in the study area, and analyzes the process of the Yellow River’s ancient course changes. A regional historical geographic information system was constructed by integrating multiple data sources, including archeological excavation reports, excavated artifacts, and historical documents. At the same time, the sequences of temperature and dry–wet index changes in the study area during the Qin and Han dynasties were quantitatively reconstructed, and a climate evolution map for this period was created based on ancient climate proxy indicators. Drawing on three dimensions of settlement morphology, architectural spatial organization, and agricultural technology systems, this paper provides a deep analysis of the site’s spatial cognitive logic and the ecological wisdom it embodies. The results show the following: (1) The Sanyangzhuang Han Dynasty settlement site reflects the efficient utilization strategy and environmental adaptation mechanism of ancient settlements for land resources, presenting typical scattered characteristics. Its formation mechanism is closely related to the evolution of social systems in the Western Han Dynasty. (2) In terms of site selection, settlements consider practicality and ceremony, which can not only meet basic living needs, but also divide internal functional zones based on the meaning implied by the orientation of the constellations. (3) The widespread use of iron farming tools has promoted the innovation of cultivation techniques, and the implementation of the substitution method has formed an ecological regulation system to cope with seasonal climate change while ensuring agricultural yield. The above results comprehensively reflect three types of ecological wisdom: “ecological adaptation wisdom of integrating homestead and farmland”, “spatial cognitive wisdom of analogy, heaven, law, and earth”, and “agricultural technology wisdom adapted to the times”. This study not only deepens our understanding of the cultural value of the Han Dynasty settlement site in Sanyangzhuang, but also provides a new theoretical perspective, an important paradigm reference, and a methodological reference for the study of ancient settlement ecological wisdom. Full article