Water Storage Structures Research Articles

Modern Methods and Solutions for Water Resources Management in the Wadi-Watir Region (Egypt)

The main problem of water resources in Egypt is the increasing demand and decreasing supply, especially after the construction of the Ethiopian Renaissance Great Dam. One of the best solutions is the use of unusual alternative management techniques, including as a major one, rainwater harvesting and distribution. This paper examines the use of unconventional approaches to water management in arid regions based on rainfall accumulation. Using Geographic Information Systems (GIS) and hydrological modelling, the suitability of the Wadi-Watir catchment (Egypt) for rainwater storage was assessed and optimal locations for the construction of storage structures were identified. The results of the study showed that 19% (666 km2) of the study area is highly suitable for the aims and objectives; 16% (573 km2) of the catchment area has limited realisability. Twelve sites were found to be suitable for the construction of storage dams. Fourteen sites are identified as optimal for the placement of percolation (filtration) reservoirs along watercourses. The area considered ideal for above-ground percolation (filtration) tanks is 25.9 km2. The optimum area for farm ponds is 1.34 km2. As a result, the construction of water storage structures is proposed to improve water management in the Wadi-Watir region. The implementation of the rainwater harvesting structures (SRF) was divided into three phases depending on the severity of the flash flood hazard. The first, second and third phases can meet 62.24% (34.24 mil m3) of the water demand. This approach is a new and modern solution to the problem of water scarcity under socio-economic and environmental pressures while achieving the goals of sustainable development in Egypt. The article is based on the dissertation research of Mohamed Mostafa Ezzeldin Abdelrahim (MGSU, dissertation council № 24.2.339.07, March 2024).

Index-Based Alteration of Long-Term River Flow Regimes Influenced by Land Use Change and Dam Regulation

The growing population and expansion of rural activities, along with changing climatic patterns and the need for water during drought periods, have led to a rise in the water demand worldwide. As a result, the construction of water storage structures such as dams has increased in recent years to meet the water needs. However, dam construction can bring significant alterations to the natural flow regime of rivers, and it is therefore essential to understand the potential effects of human structures on the hydrological regime of rivers to reduce their destructive impacts. This study analyzes the hydrological changes in the Shahrchai River in response to the Shahrchai Dam construction in Urmia, Iran. The study period was from 1950 to 2017 at the Urmia Band station. The Indicators of Hydrological Alteration (IHA) were used to analyze the hydrological changes before and after regulating, accounting for land use changes and climatic factors. The results revealed the adverse effects of the Shahrchai Dam on the hydrological indices. The analysis showed an increase in the average flow rate during the summer season and a decrease in other seasons. However, the combined effects of water transferring for drinking purposes, a decrease in permanent snow cover upstream of the dam, and an increase in water use for irrigation and agricultural purposes resulted in a decrease in the released river flow. Furthermore, the minimum and maximum daily flow rates decreased by approximately 85% and 65%, respectively, after the construction of the Shahrchai Dam. Additionally, the number of days with maximum flow rates increased from 117 days in the pre-dam period to 181 days in the post-dam period. As a concluding remark, the construction of the Shahrchai Dam, land use/cover changes, and a decrease in permanent snow cover had unfavorable effects on the hydrological regime of the river. Therefore, the hydrological indicators should be adjusted to an acceptable level compared to the natural state to preserve the river ecosystem. The findings of this study are expected to guide water resource managers in regulating the sustainable flow regime of permanent rivers.

Modeling the successive failure of complex dams systems: A necessity in the light of climatic shifts in extreme storms

This study investigates the effect of extreme storms on the safety of flood protection dams within complex schemes. A modeling methodology is developed using HEC-RAS 2D and presented on an illustrative case, where nine scenarios are simulated. The impact of climatic shifts on extreme storms and dams’ safety is highlighted. The results showed that, despite multi-reservoir systems can be efficient in flood protection against their design storms, they can cause catastrophic damage when subjected to extreme events that have become evident nowadays due to climatic shifts. This is attributed to the successive failure of the water storage structures in a progressive (“domino-like”) manner. The consequences of such breaches can significantly multiply the hazards. These findings can be linked to storm Daniel that occurred at Wadi Derna in Libya and caused two successive dam breaches, leaving a tragedy. The proposed modeling methodology can be useful for designers in evaluating complex scenarios.

The Scenario of Groundwater Pollution after Implementation of Zero Liquid Discharge: An Agricultural Economic Perspective

Groundwater pollution is hard to remediate in the Noyyal river region even after the implementation of Zero Liquid Discharge process. Hence, to study the status and extent of groundwater pollution in the Noyyal river region, Tiruppur district of Tamil Nadu was purposively selected and classified into 3 regions based on the distance from the river and 120 farms were selected. Tools of analysis viz., Cost benefit analysis, Resource use efficiency and decomposition analysis were undertaken to study the status of groundwater pollution and its effect on agriculture. The results showed that intensity and severity of pollution is high in the region closer to Noyyal river (less than 1 km). Income from agriculture is also low in that region due to the use of polluted groundwater for irrigation. The study revealed that Zero Liquid Discharge ensures stoppage of industrial effluents into the river and hence, river pollution is stopped. Similarly, a suitable policy is required to revamp groundwater. Hence, the suggested policy includes water storage structures like tanks, lakes, ponds etc are to be used for groundwater recharge purpose alone.

Emergency action plan for flood disaster mitigation caused by dam failure (case study: Wadaslintang Dam, Indonesia)

The Wadaslintang Dam in Central Java Province is a crucial water storage structure with benefits like irrigation, hydropower, and flood control, which is densely populated downstream. However, the risk of dam failure requires an Emergency Action Plan (EAP) to mitigate flood disasters. The implementation and effectiveness of an Emergency Action Plan protects human lives, help safeguard critical infrastructure, supports economic stability, and fosters community resilience in the face of various emergencies and disasters. This study aims to identify potential risks and consequences associated with the failure of the Wadaslintang dam and its correlation with the EAP. The plan outlines specific steps and procedures to be taken in the event of a dam failure, considering the potential risks and impacts of such an incident and collecting topographic and population data to create evacuation route maps. In conclusion, the EAP for Wadaslintang Dam is essential to minimize risks and protect the affected population during flood disasters. By implementing the plan, coordinating agencies, and ensuring regular updates, the safety and well-being of the population can be safeguarded.

A modified Xin'anjiang model and its application for considering the regulatory and storage effects of small-scale water storage structures

To improve flood prediction accuracy in the basin, this paper constructs a modified Xin'anjiang (M-XAJ) model to account for the regulatory and storage effects of small-scale water storage structures on surface runoff, based on the original Xin'anjiang (XAJ) model. In the M-XAJ model, the regulatory and storage effects of small water storage are calculated by utilizing an aggregated reservoir using multi-bottom sills graded weir flow pattern (MBSP). The discharge processes of the aggregated reservoir is combined with the processes of runoff production and convergence over the natural area to form the overall discharge processes at the outlet section. Using the two subbasins of the Xianghongdian Reservoir as case studies, 13 flood events were selected to validate the predictive capabilities of the M-XAJ model. The results indicate that (1) the qualification rate for flood peak (Qp) and the qualification rate flood volume (Qv) substantially increased for the two sub-basins during the training and verification periods. Additionally, the mean relative error of peak lag time (MEtp) was considerably reduced. Specifically, the mean Nash efficiency coefficient (MNS) for floods at the Qingshan section improved by 0.18 and 0.24 respectively. (2) the M-XAJ model improved prediction accuracy for the first flood event following an extended drought period without rainfall, as well as for the initial flood preceding a sequence of flooding events. However, the prediction accuracy for continuous flooding events was not noticeably enhanced by the M-XAJ model. (3) the M-XAJ model demonstrated improved simulation capabilities for low- and moderate-magnitude flood events; however, there were no noticeable enhancements for high-magnitude flooding simulations.

Improved estimation of extreme floods with data pooling and mixed probability distribution

The accurate estimation of flood probability is crucial for designing water storage and flood retention structures. However, the assumption of identical distribution in flood samples is unrealistic, given the influence of various flood mechanisms. To address this challenge, we proposed a novel framework based on flood clustering and data pooling that encompasses the key steps such as 1) flood event separation based on a peak-detection flood separation algorithm, 2) grouping flood events using the k-prototypes algorithm, 3) application of the UNprecedented Simulated Extreme ENsemble (UNSEEN) approach to pool reforecast ensemble datasets, and 4) statistical mixing approach to derive common quantiles from all the flood groups. We applied the framework to the Dresden gauge in the Elbe River for a detailed case study. Various tests have been performed to assess the applicability of the UNSEEN approach and the reforecast dataset consistently shows the potential for data pooling. The proposed methodology outperformed the classical approach in terms of goodness-of-fit. The relative difference between the classical and the proposed approach ((classical-proposed)/proposed) for the 100-year return level is 0.16, with a reduction in root mean square error (RMSE) value from 163 to 98 m3/s. Further, replication of the approach to the gauges in North Germany exhibited a relative difference ranging from −0.3 to +0.15 and produced better estimates in terms of RMSE compared with the traditional model. In summary, the proposed framework offers a better estimation of flood probability by addressing the inherent sample inhomogeneity along with the inclusion of unprecedented flood samples.

Generating Spatial Distribution and Forecasting the Rainfall by Suitable ML Models-A Case Study of Aiyar River Basin, Tiruchirappalli District

Rainfall plays a prominent role in managing of water resources. The accurate prediction of rainfall is the greatest challenge in the field of hydrologic studies. The prediction of rainfall is necessary to overcome natural disasters like flood and drought. The inaccurate prediction of rainfall causes either dry or overflow in water storage structures. In this study different types of Machine Learning (ML) and deep learning techniques are adopted to predict rainfall pattern of Aiyar river basin, in Tiruchirappalli district. The comparative study of these ML models is done to identify the best ML model for the study area. The comparison was done for different scenarios and time intervals. The rainfall data from years 1987 to 2023 is used for predicting the daily rainfall in the basin. The rainfall data from years 1987 to 2007 is used for testing and the remaining years data is used for training the data set. The Theisen polygon method is used to average and weighted the rainfall data in the basin. The ML models and deep learning techniques used in this study are Linear model, Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) models. The rainfall was predicted for different time scenario by using different ML algorithms like Autocorrelation method. The accuracy of the predicted model results was tested with RMSE, MASE and R square values. The result shows coefficient between 0.5 to 0.9 within the limit from the daily rainfall values. From the overall model comparison, it is observed that the SVM model accuracy is high compared to the other models involved in this study. It is concluded that two different methods ML and deep learning methods have been applied with same data in which SVM ML techniques gives better results in this study area. In future the predicted rainfall data of this study can be used for accurate flood forecasting and modelling of Aiyar basin.

Structural model and capacity determination of underground reservoir in goaf: a case study of Shendong mining area in China

The large-scale extraction of coal resources in the western mining areas of China has resulted in a significant loss of water resources, which is a challenge for coordinating resource extraction with ecological preservation in the mining areas. Although underground reservoir technology can effectively solve this problem, measuring the storage capacity of underground reservoirs through engineering experiments is costly and time-consuming. Currently, there is a lack of accurate, reliable, and low-cost theoretical calculation solutions, which greatly restricts the promotion and application of underground reservoir technology. The theoretical calculation methods for underground reservoir capacity were studied based on parameters from the Shendong mining area in China. A water storage structure model for coal mine underground water reservoirs was established, taking into account the settlement boundaries of the bedrock and loose layers in shallow coal seams, based on the key layer theory and the spatial structure model of the mining roof. The mathematical expression for the load on the coal-rock mass in the goaf was derived considering the rock breaking characteristics of the mining roof. The model determined the range of each water storage area, including the zone of loose body, zone of gradual load, and the compacted zone, based on the strength of the water storage capacity. The key parameters for calculating the water storage capacity were determined using a modified model for shallow thick loose layers and thin bedrock movement. Finally, a calculation method for the storage capacity was obtained. Based on the real data from the 22,615 working face of a mine in the Shendong mining area, the water storage capacity of the underground reservoir in the goaf was jointly calculated using FLAC3D, Surfer 12.0 and the proposed calculation method. The calculated water storage capacity was approximately 1.0191 million m3. Although this result was 2.20% smaller than the on-site water pumping experiment data, it still verifies the feasibility of the above calculation method for determining the water storage capacity of underground water reservoirs.

Evolution mechanism of tunnel water and sand inrush considering water-rich sandy dolomite hazard-causing structures

Water-rich sandy dolomite stratum is prone to water and sand inrush disasters during tunnel construction. It is of great significance to explore its hazard-causing structure and water inrush mechanism for disaster control. The physical and mechanical properties of dolomite samples are tested to reveal the difference between unsanded dolomite and sandy dolomite. Based on the advanced geological prediction and geological sketching, three types of water and sand inrush hazard-causing structures are identified. Furthermore, three types of water and sand inrush mechanisms under different hazard-causing structures are explored by using fluid–solid coupling model test. One is the progressive failure type of water and sand inrush caused by crack coalescence for the broken unsanded dolomite outburst prevention structure, another is the failure type in which the seepage failure of sandy dolomite strips promotes the crack coalescence of unsanded dolomite, and the other is seepage failure type for the overall sandy dolomite outburst prevention structure. Finally, fluid–solid coupling simulation is used to discuss the failure characteristics of outburst prevention structure with different factors. The results show that the critical sandy dolomite area ratio of the three types is 25 % and 75 %. The factors affecting the inrush disaster are ranked as follows: sandy dolomite area ratio > unsanded dolomite fragmentation degree > buried depth > water storage structure pore pressure > water storage structure size. The findings provide valuable reference for disaster control in water-rich sandy dolomite area.

Distinct epiphyte responses to drought in tropical mountain cloud forests

AbstractEpiphytes are often considered to be significantly impacted by precipitation changes because their lack of direct access to soil water. However, few in situ studies have examined how reduction in water availability may affect epiphyte growth. Using a unique stemflow collection and diversion device, we examined the effects of stemflow reduction of 25% and 50% on the growth and leaf traits of two common but distinct epiphyte species in a subtropical forest. One species (Asplenium nidus) has a large substrate, and another (Haplopteris zosterifolia) without known water storage structure. The 25% stemflow reduction had limited effects on the growth and leaf traits of the two epiphytes, indicating that 25% stemflow reduction did not reach the water stress threshold for the two epiphytes. It is also possible that the actual reduction in water availability was less than 25% since epiphytes do not use all available stemflow and there could be other sources of water such as fog and throughfall. The 50% stemflow reduction reduced leaf number and leaf area of H. zosterifolia, but not A. nidus, likely because water stored in the large substrate of A. nidus mitigated the impact of stemflow reduction. The thinner leaves, smaller leaf dry matter content, and lower δ13C of A. nidus than H. zosterifolia support the role of water storage of the substrate of A. nidus on mitigating water stress. The 50% stemflow reduction increased leaf thickness, leaf dry matter content of H. zosterifolia, and thickness of abaxial cuticle layer of both epiphytes but had no effect on δ13C. Stemflow reduction had no effects on nutrient concentration and nutrient ratios of both epiphytes suggesting that the epiphytes were able to maintain stoichiometry. Our results indicate that the epiphytes minimized nonstomatal water loss when environmental dryness increased but maintained stomata conductance, which could be important in minimizing the impacts of drought on plant growth and quickly resuming growth once drought ends. Our study highlights that not all epiphytes are similarly vulnerable to drought and precipitation reduction may change the relative abundance of epiphytes with and without water storage structure.

GIS Based Mapping for a Better Crop Planning for Perumpadappu Block of Ponnani Kole Lands in Kerala

Kole lands are one of the biggest saline, humid tropical wetland ecosystems. It spreads across Thrissur and Malappuram districts of Kerala state. They serve as a water storage structure during rainy season. After rains, the stored water is dewatered and circulated in various Kole padasekarams and channels to cultivate paddy. However, the problem is the lack of a proper water management plan resulting in crop loss. The current study is conducted in the Perumpadappu block of Ponnani Kole lands in Malappuram district. In this study, both GIS and Remote sensing technology have been collaborated to plan the crop calendar. The cropping calendar of Ponnai Kole was developed mainly for 37 Kole padashekharams of Perumpadappu block. Data about elevation, transportation, irrigation, weather and soil were collected to arrive at the crop calendar. Together, by adopting participatory rural appraisal methods and local knowledge were integrated. The final crop calendar was wetted with farmers and experts.

Delineation of groundwater potential zone for sustainable water resources management using remote sensing-GIS and analytic hierarchy approach in the state of Jharkhand, India

Groundwater abstraction in many parts of India is highly unregulated which has caused a gradual decrease in groundwater levels over the years. Normally surface water storage structures or recharge zones are developed without knowing if all the groundwater is getting recharged. The issue becomes serious in the plateau region where most of the rainfall goes as surface runoff. Here an effort was made to identify the groundwater potential recharge zones of the entire Jharkhand state using Remote Sensing, GIS, and Analytic Hierarchy Approach techniques. Thematic layers which could contribute to the successful recharge of groundwater were prepared. The whole region was classified into four prospective groundwater potential zones: extremely low, low, moderate, and high. The results showed that approximately 3.28 and 77.34% of the total area falls under the High and average groundwater potential zones and the rest are under Low and Very low. Most of the high potential area is located in eight districts due to the alluvial plain region or a few mountains in that region namely Godda, Sahibganj, Pakur, Dumka, Purbi, Singhbhum, Saraikela-kharsawan and part of the Ranchi. The discharge data of 28 existing bore wells were used to endorse the groundwater potential zones. The further validation was made with an Area Under Curve (AUC) of 83%. According to the validation, the applied method produces a fairly dependable outcome for the state of Jharkhand.

WATER QUALITY ASSESSMENT USING WATER QUALITY INDEX: A CASE STUDY OF HIGH ALTITUDE AREA, GILGIT CITY, GILGIT BALTISTAN, PAKISTAN

The research aimed to evaluate the surface water quality of Gilgit city by comparingthe actual values of physio-chemical and microbiological parameters with that of the national standardsfor drinking water quality of Pakistan. A total of Sixteen surface water samples were gathered from thestudy area to analyze their quality. Multiple parameters including fluoride, hardness, pH, nitrite,nitrate, chloride, and TDS were mapped spatially using inverse distance weighting. To compute waterquality index, ArcGIS Model Builder and ArcPy were employed. The key informants interviews andfocus group discussions were also conducted to list the water-related problems. The findings of thewater quality index ensured the good quality of collected surface water samples using physicochemicalparameters but the occurrence of microbiological contamination in both rivers declared water unfit fordrinking. It showed that the water of the city is being contaminated due to anthropogenic activities.The mixing of wastewater into drinking water sources was also reported by the respective authoritiesand community. The residents also suggested to repair filtration plants as well as cover the waterstorage structures on an urgent basis. The study will be helpful to concerned departments of the studyarea to plan their resources and provide their services to the residents efficiently.

Dynamics of sediment formation in natural lakes and reservoirs

The rate of deposition of sediments in the water flow has a great influence on the flow carrying capacity, service life and coefficient of useful work of natural channels. In addition, precipitation and land use change lead to the acceleration of the erosion process and directly affects the rate of sedimentation of the umbilical cord. In this literature, attention was paid to studies analyzing the factors influencing the volume of water storage in reservoirs and natural lakes. 14 studies found an increase in the rate of sediment deposition and 13 found a decrease. 83.3% of the articles studied studied natural lakes and found a recent increase in sedimentation, including 54.5% of the articles on impoundment reservoirs reported a recent increase in sedimentation. determined to decrease. Land use change has been cited as the main cause of the increase in sediments, and climate change has also had a significant impact. In 44% of the reviewed articles, it was found that reservoirs and canals are losing their water intake capacity as a result of the increase in sediments, resulting in siltation. In the following studies, it was found that as a result of increased sedimentation, the process of silting in canals and water storage structures increases significantly and they lose their capacity to carry water.

Remote Sensing and GIS-aided Land and Water Resources Management Plan for a Prioritized Sub-watershed of the Kotni Watershed, Chhattisgarh, India

Land and water are the prime resources that support all forms of life through various processes. Integration of Remote Sensing and GIS is incredibly helpful in planning and management of this resources, it is superior to the limitation of typical land planning, causes it embraces the metaverse of planning and development of resources through modern technology. In the study area, these resources are in critical condition; approximately 6.5 % of land is agricultural fallow land, 3 % is barren land, and 50 % is current fallow in Rabi season caused by the majority of agricultural land being unproductive due to poor land and water resource management. This research makes prudent and effective use of the watershed resources to increase productivity and production in the study area. The runoff computation of the watershed was done using the SCS curve number approach for 11 years (2009-2019), it reveals average annual rainfall of 1329 mm, with 41% of runoff generation capacity, which is estimated as 483.95 Mm3 of generated runoff. Methodology also includes Multi-Criteria Decision Analysis (MCDA) techniques and weighted overlay analysis (WOA) which effectively uses various thematic maps to delineate suitable zones for water storage and harvesting structures. Finally, suitable sites for 7 check dams, 10 percolation tanks for groundwater recharging and 20 check dams, 61 farm ponds for water harvesting were identified and proposed in the study area. The research findings will help to conserve water and soil resources and may increase the agricultural area as well as the production and productivity of the respected field.

Investigating the relationship between groundwater augmentation and water quality in the 6000 ha watershed in Telangana state, India

Groundwater augmentation through rainwater harvesting has become a prime strategy to address water security and cope with the impact of climate change, especially in semi-arid regions. Increased water availability due to groundwater augmentation and its impact on rainfed agriculture has been well documented, but its impact on groundwater quality was rarely explored. In this study, data collected over 33-months on groundwater quality and groundwater table from a micro-watershed spread over 6000 ha in the semi-arid region of peninsular India were explored to assess the association between rainfall, groundwater augmentation, and groundwater quality. It was observed that the groundwater augmentation and related changes in the groundwater levels were influenced by the density of rainwater harvesting structures, rainfall distribution during the rainy season, groundwater withdrawals around the monitoring wells, and the distance between the wells and water storage structures. The results of principal component analysis (PCA) and hierarchal clustering revealed that the spatial and temporal variations in the groundwater quality governed by hydrogeochemical processes and preferential flow recharge processes might have been affected by groundwater augmentation and withdrawal. The fertilizer use in croplands as a non-point source of NO3–N and NH4–N in groundwater was affected by rainfall distribution. The high NO3–N levels in the vicinity of a burial site had indicated a possible point source of groundwater contamination. About 5%, 76%, 20%, and 4% of water samples were classified as poor, marginal, fair, and good as per the guidelines for drinking water with high fluoride and NH4–N content in groundwater as a point of concern. The majority of water samples were also classified as high salinity and low sodium hazard water, which may cause salt build-up in the poorly drained soil and affect crop water availability.

Speicheranlagen und Wildbäche im Einflussbereich von langsam ablaufenden Großmassenbewegungen

AbstractSlow moving landslides are a common phenomenon in the Alps. Often built‐up areas, infrastructure such as motorways, water storage or stream control structures are affected by such landslides. In this paper two case studies are discussed to present a decision‐making system for the evaluation and handling of such slow‐moving landslides.

Impact assessment of indigenous field-level water storage structure (diggi) on agriculture in the great Indian desert

In the arid region of Rajasthan, India, it is very often a challenge to store rain/surface water for year-round use by human and livestock. The inhabitants of this desert area have developed several water storage structures, which they used to construct based on their indigenous knowledge of local terrain conditions. Recently, farmers living in the lower command areas of Indira Gandhi canal have constructed micro-farm water storage structures, called diggi, in their cropland. They store allocated canal water in diggi to timely utilize it as per irrigation requirements, and thus, done away with problems of deficit and untimely canal water supply. This impact assessment study, carried out in Poogal tehsil of Bikaner district, analyzed high-resolution satellite images for 2 years and used a geographic information system to quantify diggi structures and studied the diggi-growth interactions with changing rainfall pattern as well as land use/land cover. Results showed that during 2018, about 3243 number of structures were constructed compared to 241 existed during 2004–2005. The mean annual rainfall increased by 30% and crop area by 12,772 ha during the same period that included 7.86% increase in irrigated and 2.98% in rainfed croplands. Thus, diggi-based water management has been immensely helpful in the perspective of irrigated agriculture in the desert region.

Modelling of meteorological drought in the foothills of Central Himalayas: A case study in Uttarakhand State, India

In the present study, Meteorological Drought (MD) has been analyzed using India Meteorological Department (IMD) criteria, and Standardized Precipitation Index (PI Standard ) in the foothills of central Himalayan region of Uttarakhand State, India. Rainfall time series at two weather stations, namely Pantnagar and Dehradun stations were selected. For the evaluation of PI Standard method, the moving sums of rainfall data were arranged in monthly time series at the time scales of 1, 3, 6, 12, and 24 months. The rainfall data were analyzed after sequencing it in a time series for testing the different statistical distributions including the Gamma distribution, Normal and Log-Normal distribution. As a result, the Gamma distribution was found most suitable for fitting based on Kolmogorov-Smirnov test at 5% level of significance. Since PI Standard applies the running sum of the rainfall values at different time scales of 1–24 months and more number of variables were used for statistical distributions. The short-term drought monitoring in month of PI Standard -1 and PI Standard -3 was done whereas, for the long-term drought monitoring PI Standard -12 and PI Standard -24 was used for management of water resources. This approach gave better valuation and monitoring of the meteorological drought. The finding is helpful to manage water including rainwater harvesting and water storage structure, irrigation scheduling and yielding the crop. Further, PI Standard were used to predict the drought and submergence conditionsin both stations as a ready reference at 3 or 12 month time scales. The information derived from investigation might be appropriate used for the rainwater harvesting along with proper planning and management of crop planning and water resource storage structure in the area of rainfed and/or drought categories affected by region under the study.