Need for judicious selection of runoff inputs in a global flood model by Jayesh Parmar, Mohit Prakash Mohanty, Subhankar Karmakar

“…Focusing on the flood-prone Mahanadi River Basin (MRB) of India, the study observes that IMDV surpasses the self-help range of humans (0.2 m) for 65% of the MRB region, and exceeds human and vehicle safety thresholds (2 m) for 15% of the region, based on four past flood events from the Dartmouth Flood Observatory. …”
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Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins by Yihua Sheng, Zhijia Li, Zhiyu Liu, Yalei Han, Jie Wang, Junfu Gong, Ning Xu

“…Study region: Yuecheng Reservoir area, Haihe River Basin, China. Study focus: After the construction and water storage of the reservoir, the conditions for runoff generation and routing method near the dam site have changed significantly. …”
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Compilation and mapping of hydrogeological data for the Tadla irrigation perimeter by Iharzi Chaimae, Najine Abdessamad, Kassou Amina, Benmoussa Amroumousa, Mouzoun Ouafae, Essahlaoui Ali, Khrabcha Abdelali

“…The area, which is a part of the Oum Erbia River basin, is mostly dependent on groundwater for industry, agriculture, and drinking. …”
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Potential threats of glacial lake changes to the Sichuan-Tibet Railway by Menger Peng, Guoqing Zhang, Jinyuan Yu, Weicai Wang, Fenglin Xu, Sonam Rinzin

“…Of these lakes, this study identified 38 very high and 85 high GLOF-susceptibility lakes; mainly distributed along the Bomi-Nyingchi railway section in the Parlung Zangbo River basin. Four of the very high GLOF-susceptibility glacial lakes may pose a threat to the railway and will require monitoring. …”
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‎ Evaluation of spatial qualitative changes in surface water using cluster ‎analysis and factor analysis (Case study: the Aras river within the ‎boundaries of Iran)‎ by Mohammad Mostafa Shabarang‏, Ebrahim Fataei, Ali Akbar Imani, Hooman Bahmanpour, Mohammed ‏ Shabani‏

“…Therefore, based on the obtained results, it was revealed that the reason for qualitative changes at different stations is due to the entry of human pollutants from various urban, industrial, mining, and agricultural sources as well as erosion in the river basin. Therefore, given the high precision of the analytical methods used in the evaluation of the qualitative aspects of the studied river’s water, it can be acknowledged that multivariable methods such as cluster analysis and factor analysis, can confidently determine the water quality of rivers and significant parameters affecting their quality and identify pollutants in the management of river water quality.…”
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Spatio‐Temporal Changes in Effective Population Size in an Expanding Metapopulation of Eurasian Otters by Nia Evelyn Thomas, Elizabeth A. Chadwick, Michael W. Bruford, Frank Hailer

“…Notably, total Ne summed across regions was small and well below the Ne = 500 size deemed necessary for long‐term population viability (sum of river basin district groups: 170.6, 95% C.I.: 102.1–348.3). …”
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Association between urinary metallothionein concentration and causes of death among cadmium-exposed residents in Japan: a 35-year follow-up study by Lianen Li, Rie Okamoto, Xian Liang Sun, Teruhiko Kido, Kazuhiro Nogawa, Yasushi Suwazono, Hideaki Nakagawa, Masaru Sakurai

“…This study aimed to investigate the potential association between urinary MT levels and causes of mortality among residents of the Kakehashi River Basin who have been exposed to Cd. Method: The study involved a total of 1,398 men and 1,731 women were conducted between 1981 and 1982, with follow-up until November 2016. …”
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Risk assessment of non-point source pollution in tropical watersheds considering water functional zones by Shiyu Xue, Yanhu He, Hao Cai, Jun Li, Lirong Zhu, Changqing Ye

“…Therefore, this study employs the Soil and Water Assessment Tool (SWAT) model and integrates the concept of water function zones (WFZ) to comprehensively assess the spatiotemporal characteristics, source apportionment, and wet and dry season-specific risk of NPS pollution in the Wanquan River Basin (WRB), considering both the land surface loading risk and the input risk from adjacent water bodies. …”
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The spatial association network and driving factors of land use carbon emission efficiency in China: An investigation in the National Major Strategic Regions by LIU Min, CHEN Yinrong, WANG Jue, CHEN Kun, CHEN Yi

“…However, there were obvious differences among regions, Guangdong-Hong Kong-Macao Greater Bay Area have the highest average value of land use carbon emission efficiency, followed by the Yangtze River Delta region, the Yangtze River Economic Belt, Beijing-Tianjin-Hebei region and the Yellow River Basin region. (2) Over time，the structure of the overall networks of land use carbon emission efficiency in the National Major Strategic Regions has generally evolved towards densification, diversification and robustness. …”
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Diminished water yield coefficient of glacial catchments in Northwest China by Jing Liu, Aihua Long, Mingjiang Deng, Qiang An, Xiaoya Deng, Zhenliang Yin, Pei Zhang, Xiaoying Lai, Xinchen Gu

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Long Time Series Spatiotemporal Variations in NPP Based on the CASA Model in the Eco-Urban Agglomeration Around Poyang Lake, China by Tianmeng Du, Fei Yang, Jun Li, Chengye Zhang, Kuankuan Cui, Junxi Zheng

“…The ecological urban agglomeration around Poyang Lake represents a critical development area in the Yangtze River basin. The spatiotemporal characteristics of the net primary productivity (NPP) of vegetation are explored from the perspective of the city’s functional position, providing important insights for the city to achieve the dual-carbon target and green development. …”
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Operativity of the Taunsa Barrage, Pakistan: Experimental Investigation on the Subsidiary Weir by Muhammad Zahid Ullah, Habib-Ur-Rehman Mughal, Noor Yaseen, Noor Muhammad Khan, Giada Varra, Luca Cozzolino, Renata Della Morte

“…These findings indicate that the Taunsa barrage stilling basin may lack the capacity to accommodate higher discharges resulting from the interplay between climate change and land use alterations within the upstream Indus River basin. Future research should focus on developing a design that enhances energy dissipation robustness, reducing susceptibility to potential discharge increases.…”
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Experimental study on the settling of irregularly shaped sediment particles from the source region of the Yangtze River by Xiaoyong Cheng, Zhijing Li, Yujiao Liu, Zhongwu Jin, Yinjun Zhou, Yisen Wang, Guiqiao Wang, Junfeng Han, Zhixian Cao

“…Here, sediment particles were sampled from the Tuotuo River basin in the source region of the Yangtze River. …”
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Unfolding cascading impacts of changing South Asia monsoon on a Hindu Kush Himalayas basin by Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Arshad Ansari, Suraj Tiwari, Roma Thakurathi, Rejoice Thomas, Hesham El-Askary

“…Study region: Indrawati River Basin (IRB) in Nepal. Study focus: We employ the Soil and Water Assessment Tool model, calibrated and validated with historical data, to assess the hydrological responses of the IRB to future climate scenarios. …”
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Drought and flood risk mapping using a GIS-based multi-criteria decision method: A case of the Olifants Basin, South Africa by Luxon Nhamo, James Magidi, Sylvester Mpandeli, Onisimo Mutanga, Stanley Liphadzi, Tafadzwanashe Mabhaudhi

“…In this study, the Analytic Hierarchy Process (AHP), a Multi-criteria Decision Method (MCDM), together with Geographic Information System (GIS) and geostatistical techniques were used to simultaneously detect and assess drought and flood risks in the Olifants River Basin in South Africa. The drought and flood risk maps were delineated and overlaid on the smallest water management units to identify sub-basins at risk of either drought or flooding. …”
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Spatiotemporal Changes in Evapotranspiration and Its Influencing Factors in the Jiziwan Region of the Yellow River from 1982 to 2018 by Wenting Liu, Rong Tang, Ge Zhang, Jiacong Xue, Baolin Xue, Yuntao Wang

“…In recent years, ET has undergone significant changes in the Jiziwan region of the Yellow River Basin, primarily due to the implementation of ecological restoration programs and the dual impacts of climate change. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…In order to validate the VMD-JAYA-Informer model, four meteorological stations in the Songliao River Basin were chosen at random. The validation results demonstrate that VMD-JAYA-Informer outperforms the Informer model in terms of prediction accuracy on the 1-month time scale (NSE values of 0.8663, 0.8765, 0.8822, and 0.8416, respectively). …”
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Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin,... by Alemu Eshetu Fentaw, Assefa Abegaz

“…This study investigates the temporal and spatial dynamics of land use land cover (LULC) changes over 31 years (1990–2021) in the upper Tekeze River basin, Ethiopia, utilizing advanced remote sensing techniques such as Google Earth Engine (GEE) and the Random Forest (RF) algorithm. …”
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Coupling analysis of multi-systems urbanization: Evidence from China by Junqiang Luo, Weijing Ma, Shuang An, Zining Zhang, Yanchuan Fu, Hejun Huang, Genying Chang

“…Low-coordination cities are mainly found in the Qinghai-Tibet Plateau, Yunnan-Guizhou Plateau, the border areas of Gansu, Shaanxi, Sichuan, Chongqing, and Hubei, the Hetao area of the Yellow River Basin, the agricultural regions of the Huanghuaihai Plain, and the southeastern hilly and mountainous areas. (2) The degree of uneven urbanization development initially expands and then contracts, with intra-regional imbalances following the pattern: “Eastern Coastal Area > Northeast Area > Middle Reaches of the Yangtze River Area > Northern Coastal Area > Middle Reaches of the Yellow River Area > Southwest Area > Southern Coastal Area > Northwest Area.” (3) The coupling and coordinated development of urbanization is closely related to the economic foundation and production energy usage. …”
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Grazing Intensity Modifies Soil Microbial Diversity and Their Co-Occurrence Networks in an Alpine Steppe, Central Tibet by Mingxue Xiang, Zepeng Liang, Yanjie Zhang, Junxi Wu, Tao Ma, Lha Duo, Xianzhou Zhang, Gang Fu

“…We carried out a controlled grazing experiment (null grazing, CK; moderate grazing, MG; and heavy grazing, HG) on a typical alpine steppe in the Lhasa River Basin, Central Tibet, China. We used high-throughput sequencing to find the sequences of bacterial 16S rRNA and fungal ITS gene amplicons. …”
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