International Journal of Hydrology Science and Technology最新文献_第3页

Modelling drought as a climate change indicator in the southwest coastal region of Bangladesh 在孟加拉国西南沿海地区模拟干旱作为气候变化指标

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10059979

A.K.M. Saiful Islam, Md. Manjurul Hussain, G.M. Tarekul Islam, Noor E Ashmaul Husna, Sheikh Hefzul Bari

引用次数: 0

Meteorological drought analysis in Pali District of Rajasthan State using standard precipitation index 利用标准降水指数分析拉贾斯坦邦巴利地区的气象干旱

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.127880

Darshan J. Mehta, S.M. Yadav

{"title":"Meteorological drought analysis in Pali District of Rajasthan State using standard precipitation index","authors":"Darshan J. Mehta, S.M. Yadav","doi":"10.1504/ijhst.2023.127880","DOIUrl":"https://doi.org/10.1504/ijhst.2023.127880","url":null,"abstract":"Droughts are very devastating natural hazards that affects large extent of land and causes great economic losses. Droughts are determined by a deficit of water availability over a long time period, due to consistently below average precipitation in that region. The study aimed to discuss the effects of drought with its various features and the frequency of occurrence. To analyse the meteorological drought the study utilises the standard precipitation index (SPI) at different time scales, i.e., 3, 6, 9 and 12 months. Monthly rainfall data for 1901-2002 were utilised from 47 meteorological stations scattered in the study area to assess SPI values. The drought severity and duration are also estimated. The analysed result shows that most of the drought events fall in mild drought category according to the SPI classification. However, the severe drought events were much harmful on some part of the study area due to its low annual rainfall rates. The analysis would help to determine the risk of future droughts in the region, to analyse their effects on economy, the environment, and society, and to take steps to mitigate the impact of droughts.","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136008726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Inventory and status of glaciers in the Pir Panjal Range Kashmir basin between 1980 and 2020 1980年至2020年Pir Panjal山脉克什米尔盆地冰川清查和现状

IF 1.8

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10054107

Mohmad Ashraf Ganaie, S. K. Bukhari

引用次数: 0

Groundwater recharge and its response to land use - land cover dynamics in Biji catchment of Marodi-Jeeh, Somaliland 索马里兰Marodi-Jeeh Biji流域地下水补给及其对土地利用-土地覆盖动态的响应

IF 1.8

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10055362

T. K. Lohani, Dagnachew Daniel Molla, Ridwan Ahmed Abdirahman

引用次数: 0

Urban expansion based on remote sensing extraction of impervious surface information 基于遥感不透水面信息提取的城市扩展

IF 1.8

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10056161

Weifeng Kang, Dayong Chen

引用次数: 0

Understanding efficient seawater intrusion assessment in coastal region of India: a methodological review 了解印度沿海地区有效的海水入侵评估:方法综述

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.134626

Zalak Bhavsar, Jayeshkumar Patel

{"title":"Understanding efficient seawater intrusion assessment in coastal region of India: a methodological review","authors":"Zalak Bhavsar, Jayeshkumar Patel","doi":"10.1504/ijhst.2023.134626","DOIUrl":"https://doi.org/10.1504/ijhst.2023.134626","url":null,"abstract":"India is fortunate to have a long length of coastline. In addition to the numerous villages and industrial communities, many of the country's metropolitan centres are situated along the coastline. Saltwater intrusion is the migration of salty water into freshwater coastal aquifers, resulting in groundwater quality degradation. Land-use changes, climate change, and sea-level rise are the most significant contributing causes to saltwater intrusion in coastal aquifers. Coastal saline water intrusion has a broad range of impacts on the community and financial systems, in addition to the area's overall ecosystem, prompting many studies. According to the research, saline soils cover around 70 thousand square kilometres in India, including about 21,000 square kilometres in coastal regions. It is imperative to understand the extent of seawater intrusion in order to plan and manage mitigation measures towards sustainable development. The objective of this paper is to derive an insightful review of the methods, i.e., hydrogeochemical assessment, geophysical assessment and numerical modelling; used to tackle the pertaining issue of seawater intrusion.","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134890983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mauritius oil spill detection using transfer learning approach for oil spill mapping and wind impact analysis using Sentinel-1 data 毛里求斯溢油检测使用迁移学习方法进行溢油绘图和使用Sentinel-1数据进行风影响分析

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10059874

Koushik Das, Prashanth Janardhan, Harish Narayana

引用次数: 0

Precipitation prediction in Bangladesh using machine learning approaches 使用机器学习方法预测孟加拉国的降水

IF 1.8

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10055268

Md Ariful Islam, Mosa. Tania Alim Shampa

引用次数: 0

Anomalous behaviour of Indian summer monsoon rainfall due to the change in some of the monsoon semi-permanent features in surplus and deficit years 印度夏季风降雨的异常行为是由盈亏年季风半永久性特征的变化引起的

IF 1.8

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10056541

Ajhar Hussain, Firoz Ahmad, Aparna Sinha, N. Fatima, Ghulam G. Zahid

引用次数: 0

Monthly stream flow prediction: the power of ensemble machine learning-based decision support models 月流预测:基于集成机器学习的决策支持模型的力量

IF 1.8

International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.131834

Hamit Erdal, Ersin Namli

引用次数: 0